HealthTech Industry Update | Imaging Industry Trends 2023 and 2024 Outlook

Recent advances in radiology include better image quality, the use of functional data, and enhanced quantitative analysis.

The radiology industry embraces transformative technological advancements such as the integration of artificial intelligence (AI) and machine learning into imaging equipment and analytical tools.

Trends in 2023

Artificial Intelligence and Machine Learning in Radiology

Because radiology is a data-driven specialty, it is well-suited for AI applications. AI was first used in healthcare in 1976 when clinicians used an algorithm to help diagnose intense abdominal pain. Today, the use of AI and machine learning is common across a range of radiology applications.

In 2023, the efforts to integrate AI and machine learning into imaging equipment accelerated, with products boasting built-in capabilities.

Companies like GE Healthcare, Philips, and Siemens Healthineers are rapidly ramping up the rate of new software radiology products using artificial intelligence is.

The vast majority of today’s image interpretation software applications tend to fit into three categories:

  • Diagnostic
  • Repetitive
  • Quantitative

Today, AI is used in healthcare to help detect, classify, and predict diseases. Already, AI is commonly used to detect diseases of the head and neck, breast, chest, and more. Even so, AI is still in the early stages of development in healthcare. New opportunities,  such as mitigating workforce shortages, evaluating mental illness, and managing medical triage are ready to be harnessed.

Predictive Analytics

In 2023, imaging departments and imaging centres saw synergy between innovation and efficiency through the use of predictive analytics. The results for many radiology departments were improvements in operational efficiency and other key performance indicators (KPIs).

Many imaging centres don’t streamline their efficiency because they are unable to quantify what changes they need. From the Example above, without proper analytics, an imaging centre may not realize that they typically complete a given exam in less time than scheduled. They can miss the opportunity to harness that extra time to increase the number of profitable exams they fit into the day.

A key component in maximizing operational efficiency is through the reduction of variation. Using predictive analytics can enable leaders to identify patterns, optimize workflows, and standardize procedures through historical data. By better understanding workflow, radiology departments can deliver better patient experiences and financial outcomes.

In the past year, predictive analytics tools have become increasingly recognized as critical to understanding patient behavior patterns and imaging department needs. According to McCall, “Predictive analytics can tell you when patients generally arrive late to appointments, and when they tend to arrive early. You can predict how many cancellations to expect.”

Wait time is a big contributor to satisfaction levels. According to a recent poll, 28% of patients admit to leaving the office without seeing the doctor due to long wait times, followed by 26% changing doctors. Additionally, patients warned friends and family not to go to the office, left negative survey reviews, and published negative online reviews, potentially damaging a radiology center’s reputation. Using relevant analytics, radiology departments can streamline operations and minimize wait times, while increasing retention rates, patient satisfaction, and revenue.

Imaging Department Operations and Clinical Services

Operational challenges continued to evolve in 2023, including workforce shortages, mixed-age fleet challenges, and site inefficiencies.

The continued rise of AI and machine learning in 2023 has brought about meaningful advances in research and development, diagnosis, patient prognosis, surgery, and more. Newly available data sets of annotated images have helped advance training and testing. Imaging equipment manufacturers such as Canon, GE Healthcare, Philips, and Siemens Healthineers are focusing on new ways to use AI technology in radiology.

Fueled by advanced algorithms and machine learning, AI has helped bring about advances in DICOM image quality, speed, and interpretation. AI algorithms are helping radiology departments better care for patients while expediting the process.

Currently, many radiology departments are coming to embrace AI to enhance diagnostic capabilities and create a more efficient workflow. This new level of acceptance and use of AI and machine learning is reflected in our 2024 forecast.

Medical Imaging Trends in the 2024 Forecast

Looking forward to 2024, we expect to see accelerating growth in using predictive service analytics to streamline imaging department operational efficiency and to set and track effective KPIs. Utilization analytics will be critical in creating sophisticated planning and streamlined operations to minimize costs and maximize revenue potential.

Large company investments and venture capital funding in AI development of radiology applications is expected to increase, as investors are realizing the potential size of the market. Many small software start-ups as well as major manufacturers of medical imaging equipment — such as Canon Medical, GE Healthcare, Philips and Siemens Healthineers — will continue to develop AI tools that positively impact diagnosis speed and accuracy.

In 2024, we expect DICOM-compatible AI tools to expand into new healthcare applications, as well as improve their diagnosis algorithm accuracy. Radiologist confidence in AI tools is expected to improve over time as well.

Imaging Industry Trends Conclusion

The journey from 2023 to 2024 promises to be one of adaptation, innovation, and data analysis.

Workforce shortage challenges are expected to continue, with additional solutions to this ongoing challenge coming to market.

With 2024 being an election year, the radiology industry will brace for a slowdown, while contemplating the potential impact on reimbursement and consolidation. Staying informed and open to new technologies from small software companies as well as large equipment manufacturers such as Canon Medical, GE Healthcare, Philips and Siemens Healthineers will be critical for radiology departments to thrive in this evolving landscape.

See more details in the article on glassbeam: https://www.glassbeam.com/imaging-industry-trends-a-2023-retrospect-and-2024-outlook/

HealthTech Knowledge Guide | ‍ Digital Health and IOMT

Digital health includes digital care programs and technologies for health, healthcare, living, and society. It enhances the efficiency of healthcare delivery and to make medicine more personalized and precise.

It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways.

Worldwide adoption of electronic medical records has been on the rise since 1990 and is closely correlated with the existence of universal health care.

Generally, digital health interconnects health systems to improve the use of computational technologies, smart devices, computational analysis techniques, and communication media to aid healthcare professionals and their patients manage illnesses and health risks, as well as promote health and wellbeing.

Digital health technologies include:

  • Hardware
  • Software solutions
  • Services
  • Telemedicine
  • Wearable devices
  • Augmented reality
  • Virtual reality

Although digital health platforms enable rapid and inexpensive communications, critics warn against potential privacy violations of personal health data and the role digital health could play in increasing the health and digital divide between social majority and minority groups, possibly leading to mistrust and hesitancy to use digital health systems.

Digital Health Elements

The prominence of Digital health in the past century has culminated for the emergence of three reasons:

Primary Care Services

The first group of these services is known as primary care services in the domain of digital health. These services include wireless medical devices that utilize technology such as Wi-Fi or Bluetooth, as well as applications on mobile devices that encourage the betterment of an individual’s health as well as applications that promote overall general wellness.

Acute Care Services

The second group of these services is known as acute care in the digital health domain. These services include telemedicine which is defined as handling patients over some sort of streaming device and is targeted towards areas where the population is more widely scattered, medical devices that incorporate different aspects of software otherwise known as SaMD, and examples of these devices are pacemakers.

Digital Health Information solutions and Applications

The rest of the elements of Digital health that do not fall so squarely into acute or primary care services are listed as the transmission of medical education and information between practitioners and researchers through the utilization of digital technologies and applications that can be employed by doctors for risk-assessment regarding patients.

Devices that can be utilized for the improvement and management of bodily purposes as well as the encouragement of the education of digital health to the public.

There are also patient-based applications that can be utilized to share information by individual patients as well as encourage the usage of drug trials. The tracking of outbreaks of disease by the use of mass media that social media has developed has also come about through Digital Health.

Finally the recording of the environment around sensor devices that are being utilized for the betterment of the community.

Technologies

Digital health technologies come in many different forms and extend into various parts of healthcare. As new technologies develop, digital health, as a field, respectively transforms.

In fact some of these technologies are being propelled by the startup space, which has been followed via Internet or online media sources such as podcasts on digital health entrepreneurs.

The National Institute for Health and Care Research (NIHR) has published a review of research on how digital health technologies can help manage health conditions.

One of the Technology areas is Internet of Medical Things (IOMT)

The Internet of Medical Things (IOMT) is the network of Internet-connected medical devices, hardware infrastructure, and software applications used to connect healthcare information technology.

Due to several stakeholders the IOMT solutions have to serve multiple Users and Interest groups with different knowledge and skills.

Therefore these solutions have to be shaped carefully in usability, security and safety and according Medical Device Regulations (MDR) or US Food and Drug Administration (FDA) classifications and some, depending on classification level, have to be approved by clinical trial results.

Here a short check list of the main User Impact areas:

Many of the most innovative digital Health ideas products are based on IOMT Technology.

Many new ideas are challenging and start-ups with many aspects of monetisation, market impact, user impact, value add, and how to apply the findings to this idea and the technology properly.

Here some check points for the entrepreneurs of IOMT digital Health solutions:

One example of the IOMT Technology based Digital Health Applications is Telemedicine

Telemedicine is one of the broadest areas of digital health. It encompasses the digitization of medical records, remote care, appointment booking, self-symptom checkers, patient outcome reporting, and many others.

Digital and remote clinics are commonly used to provide quick, nonurgent consultations that save both the patients and doctors time. Especially with the COVID-19 pandemic, this type of treatment has become the primary way doctors are seeing their patients and may be as effective as face to face appointments.

 This type of digital treatment keeps both parties safe and is a reliable method that physicians plan to use for routine checks even after the pandemic ends.

Another example of IOMT in digital Health are Wearables

Wearable technology comes in many forms, including smartwatches and on-body sensors. Smartwatches were one of the first wearable devices that promoted self-monitoring and were typically associated with fitness tracking.

Many record health-related data, such as “body mass index, calories burnt, heart rate, physical activity patterns”.

Beyond smartwatches, researchers are developing smart-related bodywear, like patches, clothes, and accessories, to administer “on-demand drug release”.

This technology can expand into smart implants for both severe and non-severe medical cases, where doctors will be able to create better, dynamic treatment protocols that would not have been possible without such mobile technology.

These technologies are used to gather data on patients at all times during the day. Since doctors no longer need to have their patients come into the office to collect the necessary data, the data can lead to better treatment plans and patient monitoring. Doctors will have better knowledge into how well a certain medication is performing. They will also be able to continuously learn from this data and improve upon their original treatment plans to intervene when needed.

Digital Health innovations combining Augmented-, Virtual Reality and IOMT Technology

IOMT Technology combines many different sensors, connects devices and delivers data and streams videos to central health care observation and safety points e.g. for Remote Patient Monitoring and Remote Patient Management (RPM).

As well the provision of rehabilitation programs, trainings and also patients condition check makes IOMT Tech possible.

Augmented Reality

In digital health, augmented reality technology enhances real-world experiences with computerized sensory information and is used to build smart devices for healthcare professionals.

Since the majority of patient-related information now comes from hand-held devices, smart glasses provide a new, hands-free augmented way for a doctor to view their patient’s medical history.

 The applications of this technology can extend into data-driven diagnosis, augmented patient documentation, or even enhanced treatment plans, all by wearing a pair of smart glasses when treating a patient.

Virtual Reality

Another similar technology space is virtual reality, which creates interactive simulations that mimic real-life scenarios and can be tailored for personalized treatments.

Many stroke victims lose range of motion and under standard treatment protocols, Other patients have long-term upper muscular dysfunction, as the lower body is primarily targeted during therapy.

Repeated actions and the length of therapy are the two main factors that show positive progress towards recovery. Virtual reality technologies can create various 3D environments that are difficult to replace in real-life but are necessary to help patients retrain their motor movements. These simulations can not only target specific body parts, but can also increase in intensity as the patient improves and requires more challenging tasks.

Innovation cycle

The innovation process for digital health is an iterative cycle for technological IOMT solutions that can be classified into five main activity processes from the identification of the healthcare problem, research, digital solution, and evaluating the solution, to implementation in working clinical practices.

Digital health may incorporate methods and tools adopted by software engineering, such as design thinking and agile software development.

 These commonly follow a user-cantered approach to design, which are evaluated by subject-matter experts in their daily life using real-world data.

Conclusion

IOMT is an essential building block for many digital Health applications and solutions. New innovative ideas have to be checked and proved carefully. If the right experts combine and integrate MIOT with other Technologies great products are to predict.

HealthTech Industry Update | 2024 the year of health-tech?

Innovations in health technologies will play a pivotal role in digital health and wellbeing in 2024 as artificial intelligence takes centre stage.

Advancements in technology have been used to improve human health, from creating new devices for medical treatment to the deployment of software to make healthcare management more efficient.

What will be with health-tech in 2024? 

Holistic and preventive approach

At a global level health and wellbeing metrics will play a pivotal role, drawing from comprehensive datasets encompassing a customer’s medical history, sleep patterns, fitness routines and nutritional habits.

  • Information will enable health-tech platforms to furnish practical recommendations related to health policy eligibility, fostering a genuinely connected care experience.
  • There will be a significant shift towards a more holistic and preventive approach to digital health, where technology becomes a supportive and integral part in users’ overall daily health journey on a daily basis.
  • AI symptom checkers which are already integrated with some major global insurers and there is a place for clinically driven AI.
  • Automated next-best-action recommendations become more prevalent, Coffey thinks health-tech platforms will shift their focus beyond existing health concerns to guiding users in achieving their health objectives.

AI will take central role

As Healthcare workers have to face challenges like staff shortages and burnout:

  • Automation AI will have a substantial impact on diagnostics and treatment in 2024.
  • AI can assist by taking over routine tasks and processes with AI-powered applications like documentation and voice-to-text transcription, freeing up time and allowing professionals to spend more time on patient care.
  • AI in healthcare will assisting in the interpretation of medical images such as x-rays and CT scans.
  • AI can predict patient risks and health outcomes by analysing patterns in historical data and monitoring patient data in real-time
  • AI is able to identify signs of disease exacerbation
  • AI can enable proactive management of chronic conditions

“Your health insurance app should be the first app to be opened in the morning and the last app to be closed before bedtime. As the synergy between technology and healthcare intensifies, 2024 promises a future where innovation leads to more accessible, efficient and patient-centric healthcare solutions”

Life CEO Gary Coffey

Here the full Article by Siliconrepublic:

https://www.siliconrepublic.com/innovation/health-tech-2024-predictions-ai-healthcare-gary-coffey-adrian-sutherland

3 Reasons Why IoT HealthTech Projects Fail

Internet of Things (‘IoT’) has already had a major impact on the healthcare sector, completely transforming the way we live and work. This revolution is reflected in the global IoT healthcare market, which in 2022 was valued at USD 252.1 billion.

But what is IoT?

In its most simple terms, IoT refers to a system of objects that are connected via the Internet to send and receive data. This tech is already ingrained into our society. So much so, that it is likely you engage with it regularly, perhaps without even knowing it.

Here are some popular examples…

  • Telemedicine, or telehealth, allows patients to consult with healthcare professionals remotely using real-time two-way communication, usually video calls.
  • Health and fitness tracking. Smart wearable devices and/or apps, such as the Apple Watch and Fitbit, allow users to conveniently monitor their fitness levels and progress.
  • Glucose and blood sugar monitoring. Diabetic patients are required to monitor their glucose levels multiple times a day. Glucose levels can change rapidly and seemingly without notice, which can have a grave impact on the patient’s health. IoT enabled wearables and implants enable patients’ glucose levels to be monitored continuously and shared with their loved ones and/or healthcare providers.

The tremendous uptake in HealthTech IoT shows no signs of slowing down: it is predicted that by 2030, the global IoT Healthcare market will be worth USD $861.3 billion. Insider Intelligence predicts that in the US alone there will be 70.6 million remote patient monitoring users by 2025, up 56.5% from 2022. This means that in just three years, more than one-quarter of the US population will be regularly using a device that remotely tracks or collects their well-being or medical data for their doctors to assess.

At its core, IoT is popular because it offers convenience. For both patients and healthcare providers it can:

  • Remove barriers created by geography, literacy, and language;
  • Increase accuracy and allow for personalised care through real-time collection and monitoring of data such as heart rate, blood pressure, and glucose levels; and
  • Reduce the administrative and financial burden created by inpatient care.

Common Pitfalls

Given these numbers, it’s no wonder that so many HealthTech companies want to participate in the IoT revolution. But unlike some other tech trends, IoT is not a smash-and-grab, this powerful technology requires specialised knowledge and execution to be successful.

This is why so many projects fail: in May 2017, Cisco indicated that close to three-quarters of all IoT initiatives fail and in 2019, Microsoft found that one-third of IoT projects fail in the proof-of-concept stage.

To avoid this fate, you should be wary of three common pitfalls:

  1. Lacking a solid IoT value proposition;
  2. Underestimating the complexity of the project; and
  3. Overlooking the impact of IoT on employees, processes, IT systems, and business models.

Pitfall 1: Your Project Lacks a Solid Value Proposition

Research from Capgemini found that 49% of IoT projects fail at the proof-of-concept stage because they lack a clear business case. This indicates that businesses are not spending enough time defining their value proposition.

To define your value proposition, it’s essential to start with the ‘WHY’ before moving to the ‘HOW.’ Understanding why you are initiating a project and what you aim to achieve is crucial for garnering support from your team, patients, and other key stakeholders.

Begin by identifying whether there are any potential benefits for your patients. Accuhealth, an award-winning provider of remote patient monitoring systems, offers guidance:

    1. Health Outcomes: Identify what kind of patients you want to treat using RPM, how many there are, and what improvements you’d like to see in their conditions.

    2. Patient Engagement: Identify areas for improvement in patient engagement and compliance.

    3. Financial Effects: Identify whether the system could offer your patients a meaningful reduction in costs.

    If you decide that there is clear value for the patient, is that value enough to justify the cost of building, implementing, maintaining, and using such an IoT application?

    The unfortunate reality is if users are not benefiting enough from IoT initiatives, the businesses offering them won’t either.

    To really drive the message home, here is a quote by Craig Rock from the Forbes Technology Council:

    IoT creates value when the intelligence improves industry, making operational insight actionable. IoT is most valuable when it changes business processes through innovation, automation and orchestration, reducing often manual, labour-intensive or invasive tasks, minimizing data anomalies, adding value and productivity to workforce activities, improving customer experience and employee engagement. Further, IoT adds value by reducing risk, reducing costs and reducing working capital requirements, all of which can have a material, measurable impact on an organization’s financials.

    Takeaway: Just because devices can be connected, it doesn’t mean they should be.

    Pitfall 2: You Underestimate the Technical Complexity

    IoT harbours immeasurable potential, but it does increase complexity – something that many organisations underestimate.

    IoT creates a chain of dependencies. Each technological element is dependent on the other to succeed in its task and bring value to users. For example, updating the firmware of one element can have consequences across the whole system. To circumvent this, the design and development phases must be strategically and meticulously planned.

    To add another layer of complexity, the value of IoT is held in the information recorded by the connected devices – and these devices collect vast amounts of data.

    But without proper processing, analysis, and management this information is useless. To gain value, the data must be integrated and analysed at increasingly demanding velocities across a multitude of interconnected channels.

    To minimise future headaches, a clear methodology should be followed. It is important to implement a robust IoT framework, including a clear data strategy, before moving on to designing and discussing the interdependencies within that framework.

    For Medical IoT or IoMT (Internet of Medical Things) comes additional the impact of medical regulations like, EU MDR (Medical Device Regulations), EU IVDR (Invitro Diagnostic Regulation), USA FDA (Food and Drug Administration) and other sub-regulations e.g. IEC Standards.


    These regulations require an early start of certification procedures and a lot of knowledge about the related processes and documentation which has to proof the compliance in all phases of the development and test including clinical trial results for medical classified products.

    Takeaway: A chain is only as strong as its weakest link

    Pitfall 3: You Aren’t Prepared For The Business Impact

    The introduction of IoT will impact your organisation’s stakeholders, both internal and external. Planning for potential outcomes is the only way to mitigate negativity and increase the likelihood of success.

    Internally, you should consider your organisation’s

    1 .Employment needs: Which positions could be removed, reviewed, or created if your project is successful?

    2. Workplace culture: How would restructuring impact your team dynamic? Could your communication channels change?

    3. Education: How will you ensure that your team possesses sufficient digital literacy and data analytics skills to handle the changes?

    4. Processes: How will your business- and IT processes be impacted?

    5. IT Infrastructure: How will the existing IT infrastructure be impacted?

    Externally, consider

    6. Security: How will user data be stored? How will this be communicated transparently?

    7. Costs: Will the IoT project result in increased service or product costs for your customers? Will this change your target customer base?

    8. Education: How will you train staff (e.g. healthcare professionals) and end consumers (e.g. patients) to use your product safely and effectively?

      Takeaway: The impacts of IoT reach beyond the digital realm.

      Conclusion

      Undeniably, the success that IoT has already demonstrated is impressive. And while it may be tempting to dive in headfirst, you don’t want your project to become just another failure in a sea of statistics.

      For an IoT project to reach successful maturity, it requires technical knowledge, planning, procedures, and the identification of value drivers – which will be the focus of our next blog.

      About the Author
      Barend Smet is the President and Co-founder of the Thaumatec Tech Group. With over 20 years of business and entrepreneurial experience, Barend expertise ranges from new business development, business case definition, process improvement, Internet of Things and Artificial business models and Finance and Investment strategies. Having successfully set up several IT companies, Barend knows what creates value for customers, how to communicate this value and build a business model and organization that delivers what you promise.

      HealthTech Knowledge Guide | ‍Top 10 Advances in Medicine

      These advances have directly contributed to the significant rise in global life expectancy, nearly tripling it from just 28.5 years in 1800 to 72.6 years in 2019.

      TOP 10 Medical Advances

      1. Antibiotics: Revolutionizing the treatment of infections

      The discovery of antibiotics stands as one of the most critical advances in medical history. They were discovered in 1928 when Alexander Fleming returned home from vacation to find a petri dish on his workbench filled with a strain of mold that was not only thriving but also limiting the growth of bacteria.

      2. Vaccines: Preventing deadly diseases

      The fact the word vaccine derives from the Latin word for cow is no coincidence, given Edward Jenner’s discovery in 1776. He observed milkmaids who’d been exposed to the relatively mild cowpox virus developed an immunity to the more serious smallpox virus. His discovery led to the development of the smallpox vaccine, and 179 years later, in 1977, smallpox was eradicated (and remains the only disease ever to be entirely eradicated).

      3. Anesthesia: Transforming surgical procedures

      Prior to the mid-1800s, surgical procedures were limited due to the excruciating pain patients experienced. This changed in 1846 when William TG Morton used ether to anesthetize a patient for surgery. The drugs used to anesthetize patients for surgery have come a long way since these early days. Techniques have also been refined and, when used in combination with new technologies, have resulted in significant gains in patient safety.

      4. X-rays and Medical Imaging: Advancements in non-invasive diagnostics

      Before the advent of medical imaging, physicians relied on their sense of touch, observations, and the patient’s account of their symptoms to diagnose them. The discovery of X-rays by William Conrad Roentgen in 1896 revolutionized diagnostic medicine based on his experimentation with electric currents and glass cathode-ray tubes. The potential of his discovery in the diagnostic process was immediately recognized, with Glasgow Hospital opening its first radiology department just a year later.

      5. Germ Theory: Small changes make a big impact

      The introduction of anesthetics in 1844 meant that doctors could attempt longer and more complex procedures. However, post-surgery infection rates were soaring, along with mortality rates, limiting progress since scientists had no explanation for what caused infection until French microbiologist Louis Pasteur developed germ theory in 1861.

      6. Organ Transplantation: Saving lives through organ replacement

      The first successful kidney transplant was performed by Joseph Murray in 1954. While it had been attempted before, this was the first time the patient survived the surgery. By 1968, surgeons successfully completed pancreas, liver, and heart transplants, with the first heart-lung transplant in 1981.

      7. Genetic Engineering: Unlocking the secrets of life

      The discovery of the double helix structure of DNA by James Watson, Francis Crick, and Rosalind Franklin revolutionized molecular biology. The development of a map of the human genome has been vital in predicting and understanding the incidence of many diseases. While this information is already used to screen and create interventions for at-risk groups for conditions for which they may have a predisposition, the potential is even greater, with the possibility of personalized medicine and gene therapies close to becoming an everyday reality.

      8. Heart Surgery: Pioneering cardiovascular interventions

      The first coronary artery bypass graft (CABG) was performed by Dr. Rene Favaloro in 1967 when he took a vein from his patient’s leg and used it to bypass a blocked coronary artery. This innovative procedure restores blood flow to the heart muscle and relieves the symptoms of angina and the likelihood of a heart attack.

      9. Antiseptics: Enhancing Sterilization and infection control

      Joseph Lister’s development of antiseptics significantly improved infection control in surgery and beyond. Concerned with the high mortality rate following surgery, Lister began experimenting with different techniques to prevent infection, developing the antisepsis system in a home laboratory while working with his wife and assistant, Agnes.

      10. Insulin: Saving millions of lives daily

      Thanks to insulin, a diagnosis of type I diabetes is no longer a death sentence, but prior to 1922, children diagnosed with type I diabetes were expected to live for just one and a half years, and adults less than ten. The discovery of insulin by Sir Frederick G Banting, Charles H Best, and JJR Macleod at the University of Toronto meant that those with diabetes could live a relatively normal life.

      Honorable Mentions

      Several other medical advances came close to making our top ten and definitely deserve some recognition!

      Epidemiology

      Hippocrates considered the connection between the environment, host factors, and disease development around 400 BC, and Joaquín de Villalba first used the term epidemiology to explain these connections in the late 1700s. However, it was John Snow who meticulously mapped the incidence of cholera in London in 1854, tracing the source of the infectious disease to specific water pumps while illustrating the importance of applying statistical analysis to the outbreak of disease, outcomes, and behaviors.

      3D Printing

      When Chuck Hall first developed 3D printing in 1983, few could have imagined its medical applications. Thirty years later, the technology enables scientists to print the scaffolds for organs, prosthetic limbs, and medications. With the technology still very much in the early stages, the future applications of 3D printing in healthcare have incredible potential.

      Artificial Intelligence (AI)

      Artificial intelligence is already making its mark in many aspects of medicine. It’s assisting medical professionals in diagnosing and treating illness, with its potential seemingly limitless to the extent that it’s likely to be a permanent fixture on future top 10 lists. The current challenges involve overcoming the ethical issues around how much control machines have over the diagnostic and treatment process and ensuring accuracy.

      Conclusion

      It takes many pieces of a puzzle to see the bigger picture. While every little piece of knowledge improves our ability to diagnose and treat illness, these top ten medical advances have more than left their mark by drastically improving the life expectancy and health outcomes of millions of people. With so many rapid technological advancements, scientists can better understand, investigate, and develop treatments, building on these discoveries to improve health outcomes globally.

      Here the details of the osmosis article:

      https://www.osmosis.org/blog/2023/07/10/the-top-10-medical-advances-in-history#:~:text=The%20discovery%20of%20antibiotics%20stands,limiting%20the%20growth%20of%20bacteria.

      HealthTech Industry Update | Medicine delivered by drones to Medical Deserts

      Last time we talked about what the medical deserts are, and how technology can alleviate them.
      This time our topic is how to enable healthcare access and improve outcomes in rural communities, and urgency through faster and more efficient transport of critical medical supplies. One possible way of transport and supply medical deserts is to use drones. Because of fast evolution of the related technology, the capability, and safety of drones is fast improving too.

      Trials with special drones explore the potential for several use cases:

      ➡️ between medical facilities


      ➡️ to patients directly


      ➡️ in emergency cases


      ➡️ diagnostics via computer vision and AI


      ➡️ with a lot of safety features, not to harm anyone


      ➡️ Launching systems

      There are a lot of trials in US, UK and many other countries ongoing and I think soon it will become more and more usual to have this systems commercial operational.

      Here an example for a trial in UK:

      If you would like to see more interesting posts, visit our knowledge database: https://thaumatec.com/knowledge/

      Healthtech Industry Update | United Nation Goals for HealthTech ideas Impacting Good Health and Well Being

      Innovations in healthcare and wellness span a range of technologies. Traditionally speaking, healthcare data and information have usually been collected and stored neatly for many years now, albeit in paper form.

      The digitization of health data and information, known as eHealth, opens the door for applying analytics and informatics techniques to vast amounts of patient and hospital data.

      INNOVATIONS IN HEALTHTECH

      Innovations in healthcare and wellness span a range of technologies. Traditionally speaking, healthcare data and information have usually been collected and stored neatly for many years now, albeit in paper form.

      The digitization of health data and information, known as eHealth, opens the door for applying analytics and informatics techniques to vast amounts of patient and hospital data.

      Partly or completely, it is business-as-usual issues that hinder countries in efficiently delivering public services, which in turn slows the progress of the UN-SDG program.

      With the gradual standardization of data collection systems, innovators have a multitude of options for developing technology-driven health and wellness solutions.

      Here the HealthTech areas and the description:

      3D IMAGING

      Medical imaging is at the heart of many patients’ diagnosis and treatment. Good imaging can help clinicians spot the earliest signs of an emerging medical condition. The more accurately we capture and model images of our bodies, the better the chances of detecting diseases early. This is life-saving for many patients.

      3D imaging technologies potentially address this SDG’s challenge: faster detection of major diseases like malaria and tuberculosis, and in turn, a faster diagnosis. There is an urgent need for efficient diagnostic solutions as many patients suffer undue financial hardships in search of better healthcare.

      3D PRINTING

      The broad applications of additive manufacturing, also known as 3D printing, in the field of healthcare are bioprinting tissues or organoids, printing surgical tools, printing patient-specific surgical equipment, and customized prosthetics. The possibility of printing bones and implants that mimic human biology opens the door for customized solutions based on each unique disability.

      3D printing makes healthcare cheaper for those who are in the most pain. The number of people suffering from disabilities requires high quality and more personalized solutions for truly comfortable lives. The very fact that such solutions already exist is enough for increased investments in this technology.

      AUGMENTED REALITY

      The work of a surgeon is very time-sensitive, as the patient’s health and life are often on the line. Augmented Reality (AR) overlays high-quality visualization, or 3D objects, onto real-world surroundings, creating a potent medical tool. This includes an overlay of CT-scans over the patient’s body, reconstruction of tumors in AR, and much more.

      According to the UN, 40 percent of the world has fewer than 10 doctors for every 10,000 people. Augmented reality helps the industry in addressing this shortage by efficiently training many more doctors. At the same time, AR helps surgeons perform their tasks more accurately with less time spent on it.

      BIG DATA & CLINICAL ALGORITHMS

      The majority of health data is collected passively, that is, patients are not logging their details, but rather the points of healthcare services log the data. Image recognition software combined with machine learning helps clinicians to diagnose diseases using patient images and records such as photos, test results, x-rays, and other medical images.

      The targets set by the UN to achieve the goal of good health for all requires doctors to get empowered to deliver an efficient, swift, and accurate diagnosis. To be able to achieve some of the targets by 2030, like ending epidemics of malaria, tuberculosis, and other neglected diseases, we need algorithms trained to spot diseases and detect anomalies faster.

      BLOCKCHAIN

      When it comes to healthcare, blockchain technology offers a unique tamper-proof electronic medical record (EMR) management system with higher privacy and interoperability. Though commonly associated with blockchain, these features are vital for improving access to healthcare for millions of people around the world. Trustless collaboration offers a way out of today’s messy healthcare networks.

      The UN believes that concerted efforts are required to achieve universal health coverage and sustainable financing for health, to address the growing burden of non-communicable diseases. Blockchain technology opens the door for reduced complexity in health information exchanges (HIE) and exchanging electronic health records (EHR).

      INTERNET OF MEDICAL THINGS

      By monitoring an individual’s vital signs and automatically adjusting the amount of drug to be delivered, drug delivery systems help the patients to stay within a safe range, preventing abnormal dosing situations. Automatic drug delivery systems consist of a wirelessly connected implanted medical device and an external drug delivery device.

      There is a greater risk of damaged medication when it gets compromised by exposure to temperatures beyond its safe range. Smart sensors monitor the environment temperature and conditions and alert users if they are close to a critical point or if medications already get spoiled. Such efficient technologies are necessary for improving access to healthcare – essential for achieving this SDG.

      MOBILE HEALTH & DIGITAL BIOMARKERS

      Biomarkers are bodily indicators that are measured to determine the condition of a patient. Cholesterol levels are biomarkers for potential cardiac diseases. Mobile Health, or mHealth, uses a combination of biosensors, wearable devices, and digital biomarkers that constantly monitor the user’s data, alerting them when the biomarker levels are abnormal.

      Tuberculosis (TB) remains a leading cause of poor health and death. Though some of the results are encouraging, there are still large gaps in detection and treatment and the UN believes the pace of progress will not be sufficient to achieve the targets. Such digital monitoring technologies accelerate the process of detecting TB, which plays a major role in the ensuing treatment.

      REMOTE CARING TECHNOLOGIES

      Using artificial intelligence (AI), along with remotely connected monitoring devices, allows medical practitioners to efficiently analyze data from patients and improve their healthcare. For people with chronic diseases, implanted monitors combine characteristics of therapeutic and monitoring devices such as pacemakers, blood indicators, monitors for metastasis. This ensures there is sufficient data for remote doctors to analyze and prescribe treatment.

      Remote caring devices have the potential to address the pressing challenge of helping those affected by neglected tropical diseases. The UN estimates that over 1.5 billion people suffer from such diseases and the numbers have improved slightly, mainly because of improved surveillance. Remote caring also allows a few doctors to monitor, diagnose, and suggest treatment for a large number of patients who are in dire need of healthcare.

      NANOTECHNOLOGY

      Nanotechnology, along with nanomedicine, considerably accelerate the developments in regenerative medicine, drug delivery, and vaccine efficiency. Novel concepts allow patients with organ failures or severe injuries to get artificial skin, bone, cartilage or other tissues.

      The ability of nanomedicine to provide targeted slow-release vaccine delivery improves vaccine efficacy and in turn, the intended outcomes. This will prove vital in the UN’s efforts to support research and development of essential vaccines for several diseases in developing countries. Improving vaccinations plays a major role in ultimately achieving the goal of providing universal affordable healthcare.

      PERSONALIZED MEDICINE

      The latest artificial intelligence (AI) and machine learning technologies help identify patterns within genetic datasets so that computer models can make predictions about an individual’s odds of developing a disease or responding to interventions. Predictive analytics for personalized medicine enables doctors to make decisions based on demographics, biomarkers, genetics, and drug levels to provide patients with a personalized dose.

      By 2030, the UN aims to substantially reduce the number of deaths and illnesses from hazardous chemicals, air, water, and soil pollution and contamination. Depending on a person’s immunity, environment, and habits, these types of pollution may have different effects on different people. Personalized medicine provides the opportunity for catering to the varying factors that affect patients and providing them with individual treatment.

      ROBOTICS

      The ability to manipulate a sophisticated robotic arm by operating controls combined with AR provides surgeons with better chances for successfully completing complex surgeries. Rehabilitation robots, equipped with sensors and advanced interaction control systems, continuously monitor and adapt their support to the state of the patient. Service robots are designed to assist clinical staff with logistical tasks and deliver supplies, medications, and meals by combining AI and advanced indoor navigation systems.

      The UN estimates that more than 55 percent of countries have fewer than 40 nurses and midwifery personnel per 10,000 people. Combined with the shortage of doctors in several countries, robots present a unique opportunity for rapidly expanding health services. By allowing robots to take up repetitive and menial tasks, it frees up valuable time for medical practitioners to focus on essential and complex tasks in healthcare.

      VALUE-BASED HEALTHCARE

      High prices for some generic drugs in recent times have once again raised the question of shifting to value-based healthcare practices. Though spoken often in terms of healthcare payment, it includes some other important aspects of healthcare that need reforming. From fostering collaboration between science and research and patient needs to improving healthcare stakeholder relationships, the industry begins a slow and tedious shift into fair health practices and affordable health products.

      The UN aims to achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines for all. Value-based healthcare models and services have the potential to accelerate the pace of progress for this target.

      VIRTUAL REALITY

      Today, treatments for chronic pain using drugs have harmful side effects and prove to be ineffective in the long term. Virtual Reality (VR) offers a way for patients to undergo therapies that distract them from thinking about pain and facilitates a more natural pain relief procedure. In addition to such treatments, VR is useful in training practitioners and bringing about awareness about almost all health topics.

      The UN targets significant reductions in the numbers for suicide, tobacco-related deaths, and other forms of substance abuse and addiction. VR is one of several technologies in development to reduce user dependency on these substances. By working on infrastructure obstacles, countries will benefit from stronger societies with low mental health concerns.

      WEARABLES

      Active smart fabrics memorize the shape, display a сhameleon effect, regulate temperature, resist water, absorb vapors, and heat the fabric. Medical-grade textile is capable of capturing millions of signals on the skin and unlocking a wide range of biometric insights including heart rate, respiratory rate, temperature, breathing, stress, movement, acceleration, and hormone levels.

      According to the UN, inadequate and unsafe drinking water, sanitation, and hygiene are linked to more than 800,000 deaths globally. Along with air pollution, millions of lives are affected every year simply because of where people live or certain aspects of their lifestyle. By continuously monitoring a user’s health information, wearables facilitate the detection of illness and conditions faster, allowing the user to seek help before it is too late.

      MENTAL HEALTH

      There is a range of mental health remedies and treatments that vary in utility and complexity, depending on the individual’s condition. Some of them are simply for relaxation, deep breathing, and other techniques to help manage stress and anxiety. In more severe cases, AI, AR, and VR-based mental health programs provide clinicians with valuable methods and tools for diagnosing and treating major depression, anxiety disorders, and cognitive and memory problems in adolescents, adults, and senior individuals.

      However, suicide remains the second-highest cause of death among people aged 15 to 29 globally, according to the UN. As more practitioners get involved in developing the tools necessary to combat complex mental health issues, families and societies must also develop healthy communication with their children to help avoid falling into the mental traps that get triggered by everyday events.

      WOMEN’S HEALTH

      Many women lack access to healthcare services. In order to democratize health services for women, solutions like female health chatbots provide users with fast, accurate, and affordable health information directly from experts – instead of getting it from the internet. According to statistics, breast cancer is the most common cancer in women worldwide – and early detection is the key to successful treatment.

      The UN realizes that expanding access to modern contraceptive methods is essential to ensuring universal access to sexual and reproductive health-care services. A decline in adolescent fertility rates is also a welcome milestone. In general, empowering women with information to understand sexual health and its effect on their lives will help millions of women make informed, important life decisions.

      MATERNAL HEALTH

      The postnatal period is the most critical and yet the most neglected phase in the lives of mothers and babies. Most maternal and newborn deaths occur during this period. Smartphone apps assist new mothers by guiding them through this important time, helping to save them and their babies’ lives.

      The UN estimates 303,000 women around the world died due to complications of pregnancy and childbirth in 2015. Important milestones have been reached for this target, with over 81 percent of live-births happening in the presence of a skilled attendant. More research on reproductive and maternal health topics will go a long way in addressing these preventable deaths.

      INFANT CARE

      Health monitoring systems for infants, based on wireless communications, prove to be reliable and efficient for both parents and doctors to help ensure better infant care. Such systems monitor parameters such as body temperature, pulse rate, and movement of an infant, and relay this information to the parents in real-time.

      The UN estimates that more than 5 million mortalities for children under the age of 5. A majority of these deaths are preventable and more than half happened within the first month of life, considered the most crucial for child survival. With better monitoring, health tracking, and streamlined health management systems, technology can potentially save the lives of millions of infants.

      SENIOR CARE

      The senior people of society often suffer the most because of changes in pollution levels or technology. Health technologies designed for senior members of the society are similar to those for infants. Connected devices and wireless data transmission help caregivers keep a closer eye on their seniors, with real-time alerts and notifications.

      While the UN does not single out this category of people in the goals, they are very much included in the sustainable development goal of ensuring good health for all ages. As populations grow, medical institutions must innovate to find ways to address every patient. Such senior care technologies can potentially reduce this burden while making their lives a lot easier and safer.

      WHAT’S NEXT?

      The Sustainable Development Goals are designed for all stakeholders in society. Healthcare institutions all over the world have pressing issues to deal with. Adopting and collaborating with intelligent technology will significantly boost the quality of health services.

      Patients see increasing opportunities to monitor their health in more efficient ways, detect abnormal conditions, and access targeted treatments. Even healthy people now find innovative and simple ways to maintain a nutritious diet and exercise regularly – essential for preventing several diseases.

      The growing number of startups and companies aligning their offering with the Sustainable Development Goals is an encouraging sign. All stakeholders must do their part in helping achieve these goals.

      Here the full Article from StartUs Insights with Healthcare Innovation Map and 30 selected startups:

      https://www.startus-insights.com/innovators-guide/30-healthtech-startups-impacting-good-health-well-being/

      HealthTech knowledge guide | Medical device connectivity

      Medical device connectivity is the establishment and maintenance of a connection through which data is transferred between a medical device, such as a patient monitor, and an information system. The term is used interchangeably with biomedical device connectivity or biomedical device integration. By eliminating the need for manual data entry, potential benefits include faster and more frequent data updates, diminished human error, and improved workflow efficiency.

      Medical devices may be connected on wireless and wired networks. Wireless networks, including Wi-Fi, Wireless Medical Telemetry Service, and Bluetooth, provide more ubiquitous coverage of connectivity, allowing uninterrupted monitoring of patients in transit. Wired networks are fast, stable, and highly available. Wired networks are usually more costly to install at first and require ongoing costs for maintenance, but allow connectivity of the organization in a closed environment.

      Interoperability of devices

      Adherence to standards ensures interoperability within a network of medical devices. In most cases, the clinical environment is heterogenous; devices are supplied by a variety of vendors, allowing for different technologies to be utilized. Achieving interoperability can be difficult, as data format and encryption varies among vendors and models. The following standards enable interoperability between connected medical device.

      • CEN ISO/IEEE 11073 enables the communication between medical devices and external information systems. This standard provides plug-and-play interoperability between devices, and facilitates the efficient exchange of data acquired at the point of care in all care environments
      • IEEE 802.11 a/b/g/n are standards for implementing a wireless local area network (WLAN) in 2.4 GHz and 5 GHz frequency bands, utilizing the same basic protocol.

      Regulatory organizations and industrial associations, such as Integrating the Healthcare Enterprise (IHE) initiative and Continua Health Alliance, are working towards standardized vendor-neutral device integration systems. The IHE provides a single set of internationally harmonized medical device informatics and interoperability standards as a unitary reference point for the industry. The IHE collaborates with Continua Health Alliance regarding data exchange protocol and device specializations.

      The IHE Patient Care Device (PCD) Technical Framework Volumes 1-3 defines the established standards profiles, such as the integration, transaction and semantic content profiles respectively for complete, enterprise-wide integration and interoperability of health information systems.

      Several profiles have applications in medical device connectivity including the following:

      • [DEC] Device Enterprise Communication – supports publication of information from point-of-care medical devices to applications such as clinical information systems and electronic health record systems, using a consistent Health Level Seven version 2 (HL7 v.2) messaging format and device semantic content or DICOM profile.
      • [ACM] Alarm Communication Management – ensures the right alarm with the right priority to the right individuals with the right content.
      • [DEC-SPD] Subscribe to Patient Data – supports a filtering mechanism for data transaction.
      • [PIV] Point-of-care Infusion Verification – supports communication of a 5-Rights validated medication delivery / infusion order (from Bar Code Medication Administration (BCMA) system, also known as Barcode Point of Care (BPOC) system, to an infusion pump or pump management system
      • [RTM] Rosetta Terminology Mapping – is based on the ISO/IEEE 11073 semantic standards converting vendor specific terms into harmonized standard terms. It uses a set of tools (Excel spreadsheets & XML files) to map the proprietary semantics communicated by medical devices to a standard representation using ISO/IEEE 11073 semantics.
      • [IDCO] Implantable Device – Cardiac – Observation (IDCO) profile – specifies a mechanism for transmission, and processing of discrete data elements and report attachments associated with cardiac device observations.

      Medical Device Integration Software

      Hospitals have many different makes and models of medical devices. Each department has different types of devices, and rarely does an entire hospital run the same brand device. Because of the large number of devices, and the varying formats that data is exchanged (RS-232, HL7, Bluetooth, WiFi), Medical Device Integration software has become a critical component to integrating this vital patient data.

      Positive Patient Identification and Connectivity

      Patient confidentiality can be compromised when the device data is transmitted to the wrong electronic health record. A positive patient identification at the point of care can be ensured through bar-code identifiers and radiofrequency identifiers.

      • Bar-code Identification – Patient data is encoded within a bar-code on the patient’s identification bracelet. Device identifying data is encoded within a bar-code attached to the device. Scanning the patient bar-code in conjunction with the medical device bar-code, ensures a patient-device association.
      • Radiofrequency Identification – Patient and device identifying information is encoded within an RFID tag. This information is detected, and the clinician is prompted to confirm the patient-device association. RFID is a more efficient method of positive patient identification when there are multiple devices in use.

      Security Issues in Medical Device Connectivity

      Security issues may arise in medical networking for many reasons. The following is a list of security challenges particular to medical devices:

      • Medical devices often operate with commercial central processing units, operating systems, or off-the-shelf software, which place them at risk of cyber threat.
      • Due to tight regulations surrounding medical devices, upgrades to software and security installations must be approved by the manufacturer, resulting in delays.
      • Device operating systems are often early generation and may no longer be supported.
      • Homogenous device environments facilitate rapid spread of computer virus.
      • Devices may have limited memory, necessitating the use of scaled back versions of operating systems, making it more difficult to utilize common security software.

      Relevant organizations

      Association for the Advancement of Medical Instrumentation(AAMI)

      Health Level 7(HL7)

      CEN/TC 251

      ISO/TC 215 (Health Informatics)

      HealthTech Industry Update | New wearable medical sensors

      Self-powered sensors are key to more accurate, continuous health monitoring.

      The researchers of Penn State like Huanyu “Larry” Cheng, Dorothy Quiggle Career Development Assistant Professor of Engineering Science and Mechanics are working to improve health monitoring by creating wearable sensors that collect data for clinicians while limiting discomfort for patients.

      They are working on  novel components and approaches to develop such devices as: 
      • wearable head scanners 
      • needle-free glucose monitors 
      • wearable antennas 
      • printable electronics. 

      The sensors are 
      • made with flexible electronics 
      • capable of monitoring patients’ physical motions and chemical signals in their sweat, skin
      • more to help diagnose or inform treatment plans
      • and the key is to make devices sustainable, resilient and self-charging.

      Self-powered, rechargeable wearables  

      Developing flexible, economical sensors is one thing but powering them is another.

      Although self-charging power units for stretchable energy harvesters already exist, they are expensive to fabricate, heavy to carry and they suffer from low and unstable output power. 

      Here graphene material could help. It can harvest energy from motion, such as human body movements, and store it as electrical energy in micro-supercapacitors and as other types of wearable sensors, the self-powered device can measure users’ vital signs such as pulse, temperature, electrocardiogram, blood pressure and blood oxygen.

      Tissue paper for pressure readings

      Tissue paper decorates presents, protects breakables and, thanks to the research team, it can monitor blood pressure and respiratory conditions. A wearable sensor that detects blood pressure and movement can use a small skin patch built from inexpensive, widely available tissue paper. The wireless device adheres comfortably to a user’s forearm and reads blood pressure by measuring the dilation and constriction of a blood vessel in the wrist.

      A sensor for humid environments 

      Most wearable sensors use superhydrophobic materials to repel water, but they have limited flexibility and often degrade quickly in humid environments.

      To solve that problem you could combine superhydrophobic materials with Joule heating, where electric current passes through a conductor to produce heat. The heat provides continuous moisture resistance, even when the sensor is in an environment with 99% humidity. 

      The result is a new flexible pressure sensor that is able to withstand high degrees of humidity. The details were made available online ahead of the March issue of Chemical Chemical Engineering Journal..

      Outlook

      “We don’t know where inspiration will strike — tissue paper, lotus plants, motion power and more have all proved fruitful sources,” Cheng said. “From discovery to research to application, our team is enjoying the challenge of creating the next generation of medical devices.” 

      Here the link to the full interesting article of Penn State – Pennsylvania State University https://www.psu.edu/news/engineering/story/new-research-advances-wearable-medical-sensors/

      HealthTech Knowledge Guide | Barrier-free software

      The term “barrier-free” is familiar to many, particularly when referring to buildings, public spaces, workplaces, or means of transport, and it indicates that these areas are accessible to everyone without assistance from others. As digitalization progresses, however, this term is also being used with increasing frequency in the IT world.

      But just what does barrier-free software actually mean? And why is it so important? What guidelines and laws are in place, and what does an accessible system look like from a practical point of view? Read on to learn the answers to these questions.

      1. What is barrier-free software?

      In terms of software operation, accessibility means that users can operate and use the program to its full extent that people with disabilities will not experience any disadvantages, substandard functionality, or other barriers when using the product

      2. Why is barrier-free software important?

      Accessible software that is integrated seamlessly into the company’s operations ensures equal opportunities for all (potential) employees.

      Accessible, barrier-free programs enable all individuals to have access to a job. They are characterized by the fact that their structure, formatting, and coding do not exclude anyone and can be used equally by people with and without disabilities. As such, they are becoming a pivotal tool for implementing our fundamental rights. Article 3 of the Basic Law for the Federal Republic of Germany states that “no one […] shall be discriminated against on the basis of disability.”

      With that in mind, accessibility represents the challenge of making it possible for everyone to work in the most optimal way possible. This ultimately also serves to the benefit of the company itself. Bringing equality to the work environment fosters the potential of each individual while also encouraging collaboration among the entire staff.

      3. Explaining the legal framework: When is software deemed barrier-free or accessible?

      The simple answer is that software is considered to be barrier-free if every person can use it without restriction.

      But that still leaves a lot of room for interpretation. As a result, there are international guidelines as well as national laws that make the entire matter more concrete.

      Web Content Accessibility Guidelines (WCAG)

      The WCAG is a set of international guidelines for barrier-free web content. They state that “…web content must be perceivable, operable, understandable, and robust.”

      The Equal Opportunities for Persons with Disabilities Act (BGG: Behindertengleichstellungsgesetz)

      The German Act on Equal Opportunities for Persons with Disabilities has been in force since 2002. Since 2016, the regulations are no longer limited to software and websites, but also extend to apps.

      The Act on Strengthening Accessibility (BFSG: Barrierefreiheitsstärkungsgesetz)

      This Act transposes the EU’s European Accessibility Act (EAA) into German law.

      IAccording to the directive, all products and services must be barrier-free by 2025. This includes both the hardware and the operating software.

      4. A barrier-free software for publishers and associations contains

      The web-based application Xpublisher is used to create, manage, and publish magazines, journals, books, technical documentation, and other publications in a number of different output formats and channels. All work steps feature both a high level of automation as well as barrier-free operability.

      The user interface

      Layout and Design

      The user interface and the features are designed to be logical, hierarchical, and easy to follow and the program components are easy to read and have high-contrast colours.

      Usability

      The system can be operated either using a keyboard alone or with an on-screen keyboard, maximum screen magnification, zoom in on the content seamlessly for better viewing.

      Screen reader

      A screen reader allows blind users or users with severely impaired vision to read the content using a Braille output device.

      Graphic design

      Graphical elements and images have descriptive text that screen readers can read. The well known alt tags for images on websites are one example of this.

      Certifications

      Very few web applications in Europe that meets the stringent requirements for barrier-free web content according Web Content Accessibility Guidelines, WCAG 2.1 – AA.

      5. Barrier-free software: From theory to practice

      The law gives publishers, associations, and businesses until June 28, 2025 to convert to barrier-free systems in order to foster equality for people with disabilities and their inclusion in society and the workplace.

      But why wait when the relevant programs are already available today?

      Here the full article by Xpublisher:

      https://www.xpublisher.com/en/news/barrier-free-software

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