Knowledge Database | Blogpost directory

Here the overview of our THAUMATEC Blogpost inclusive the assignment to the Blogpost types

  • HealthTech Industry Updates
  • HealthTech Knowledge Guide
  • IOT Technology and Experience
  • Thaumatec

and inside HealthTech Industry Updates the HealthTech Industry Blogpost topics and domains

  • HealthTech Trends and Reports
  • MedTech Regulation Impact
  • Telehealth
  • Smart Digital Healthcare
  • Smart Devices and Wearables
  • Robots and AI for Health

to navigate better through the whole Data Base Blogpost material.

Most recent articles/posts are on the bottom of every chapter/block.


HealthTech Trends and Reports

MedTech Regulation Impact


Smart Digital Healthcare

Smart Devices and Wearables

Robots and AI for Health





HealthTech Industry Update | AI in healthcare | Options, Decisions and Goals

Imagine you’re tasked with urgently improving healthcare for people everywhere, and artificial intelligence (AI) promises to make a significant difference on a scale not seen in our lifetime. With the three options presented below, you can either:

  • 1. Try to halt the development of AI until the risks and benefits are fully understood.
  • 2. Go blazing into the unknown, deploying AI at every turn and dealing with issues as they arise.
  • 3. Or fully embrace AI but take considered steps to limit the risks while unlocking the immediate benefits.

The general problems to be solved are

Many healthcare organizations are struggling to consistently deliver high-quality care.

There are more patients to look after and significant pockets of staff shortages, with doctors and nurses burdened by increasing clerical demands and complexity.

Costs are rising too.

Although many of us have received excellent care and great treatment, others struggle to access the care they need, especially people who live in under-resourced areas of the world

but also, increasingly, people living in wealthy urban areas.

We believe this crisis will only worsen unless we urgently deploy solutions that make a difference.

The good message is

AI can help, and it already has.

Generative AI tools and chatbots, for example, are cutting the time doctors and nurses spend on paperwork. Every day, we learn more about the potential of AI to improve healthcare. One recent study by the UK’s Royal Marsden NHS Foundation Trust and the Institute of Cancer Research showed that AI was “almost twice as accurate as a biopsy at judging the aggressiveness of some cancers.” This translates into different treatments and, ultimately, more lives saved. To learn about other developments on the horizon, consider some of the many predictions for what’s in store for 2024, from accelerating drug discovery to boosting personalized medicine and patient engagement.

But the goals are to be

  • (1) Harmonize the many sets of AI principles/frameworks/blueprints for healthcare and biomedical science. Identify and fill the gaps to create a best practice AI Code of Conduct with ‘guideline interoperability.’
  • (2) Align the field in advancing broad adoption and embedding of the harmonized AI Code of Conduct.
  • (3) Identify the roles and responsibilities of each stakeholder at each stage of the AI lifecycle.
  • (4) Describe the architecture needed to support responsible AI in healthcare.
  • (5) Define the identified ways to increase the speed of learning about how to govern AI in healthcare in service of a learning health system.


To achieve these goals and realize the full benefits of AI in healthcare while mitigating risks, it will take cross-sector collaboration and coalition building every step of the way – because we have a collective industry-wide responsibility to get this right.

Here the full Article by the World Economic Forum:

HealthTech Industry Update | Embedded systems and Medical Devices | Evolution and Market

Medical device technology such as embedded medical systems consist of hardware and software customised for specific functions in medical devices. These technologies allow patients’ health to be monitored and managed frequently each day. For example, sensors extract data on aspects of a patient’s health, such as their heart rate, and send the data to physicians wirelessly for analysis.

Embedded systems are specialized computing systems designed to perform specific tasks within larger electronic devices or systems. They are omnipresent in our daily lives, present in a wide range of applications such as consumer electronics, automotive systems, medical devices, industrial machinery, and more.

These systems are characterized by their compact size, low power consumption, and real-time operation. They typically consist of a microcontroller or microprocessor, memory, input/output interfaces, and various sensors or actuators. Embedded systems enable the seamless integration of technology into our surroundings, enhancing functionality and efficiency.

They play a crucial role in enabling smart and connected devices, automation, and the Internet of Things (IoT). As technology advances, embedded systems continue to evolve, driving innovation and shaping the future of various industries.

The Market Prognosis Highlights Embedded Systems

The Global Embedded System Market Size was valued at USD 156.35 billion in 2022.

The market is growing at a CAGR of 5.3% from 2023 to 2032

The global embedded system market is expected to reach USD 262.05 billion by 2032

Asia-Pacific is expected to grow the fastest during the forecast period

Medical Embedded Systems play more and more a key-role.

Market Overview

Driving Factors

The embedded system market is driven by several factors, including increasing demand for connected devices and the Internet of Things (IoT), the growing use of automation in various industries, and the need for real-time computing and control.

Additionally, the expansion of the automotive industry and the growing demand for smart home devices are also driving the growth of the embedded system market. The increasing adoption of wireless technologies and the need for enhanced security in embedded systems also contribute to market growth.

Furthermore, the rise of artificial intelligence (AI) and machine learning (ML) is driving the development of more sophisticated embedded systems that can support these technologies. The emergence of new technologies, such as 5G, also presents opportunities for growth in the embedded system market, as these systems will need to support these technologies and operate in real time.

Restraining Factors

The embedded system market faces certain restraints that can hinder its growth. These include the complexity and cost of development, as creating embedded systems requires specialized skills and resources.

Additionally, the market is highly fragmented, with a wide variety of hardware and software platforms, making interoperability and standardization challenges.

The limited processing power and memory capacity of embedded systems can also pose limitations on the functionality and performance they can deliver.

Moreover, concerns related to security and privacy can impede the widespread adoption of embedded systems.

Lastly, the lifecycle of embedded systems is often long, leading to slower technology refresh cycles and potential compatibility issues with newer technologies.

Market Segments

Embedded System Components

  • Hardware
  • Software

On the basis of the component, the global embedded system market is segmented into hardware and software.

The hardware segment is dominating with the largest market share in 2022, this dominance can be attributed to the crucial role hardware components play in the functioning of embedded systems. Hardware components include microcontrollers, microprocessors, sensors, memory devices, and other electronic components that form the core of embedded systems.

These components are essential for processing, storing, and interacting with data, enabling the embedded system to perform its intended functions.

Embedded System Functions

  • Standalone system
  • Real-time system
  • Network system
  • Mobile system

The hardware segment’s dominance is further driven by the continuous advancements in semiconductor technology, leading to more powerful and efficient hardware solutions.

Medical device technology

Medical device technology and embedded solutions are essential for the medical device industry.

Examples of applications of embedded systems in the medical field include imaging systems such as magnetic resonance imaging (MRI) and computed tomography (CT), defibrillators, blood pressure monitoring devices, digital flow sensors, foetal heart monitoring machines, and wearable devices.

Embedded technology suppliers for medical devices

Medical Device Network has listed leading embedded technology suppliers, based on its intel, insights, and experience in the sector. The list features specialists in customised embedded boards and industrial platforms, semiconductor solutions for medical applications, printed circuit boards for the medical market, and other solutions.

Main TIER1/TIER2 Players:

  • Intel Corporation
  • Renesas Electronics
  • Texas Instruments Inc.
  • NXP Semiconductors
  • Qualcomm Incorporated
  • Cypress Semiconductors
  • Infineon Technologies
  • Analog Devices Inc.
  • Microchip Technology Inc.
  • STMicroelectronics N.V.
  • Samsung Electronics
  • On Semiconductor
  • Toshiba Corporation

Medical grade embedded technologies

Embedded systems generally incorporate an operating system and a processor to allow them to react in real-time with limited resources, especially in highly critical situations. 

These systems include microprocessors, digital signal processors (DSP) or converter microcontrollers, memory for data storage, sensors, actuators, and other interfaces.

Medical grade embedded technologies are constantly being updated to reduce their size, increase their processing power, and incorporate programmed automatic technologies to provide improved treatments and medications for patients.

Embedding medical systems with the Internet of Things (IoT)

Medical systems with embedded Internet of Things (IoT) capabilities can help address shortages of doctors in remote locations. These systems’ operating system interfaces and high-speed processors can expedite diagnosis and treatment times for patients.

Embedded IoT medical devices can be connected to various hardware items and store patients’ data on the cloud to be analysed and used by clinicians, whenever necessary.

Other Embedded System Applications

Based on the application, the global embedded system market is segmented.

  • Automotive
  • Consumer Electronics
  • Manufacturing
  • Retail
  • Media & entertainment
  • Military & Defense
  • Telecom

 North America and Embedded Systems

Based on region, North America is the largest market for embedded systems, accounting for the highest share of the global market. The region’s dominance can be attributed to several factors, including the presence of established players, a high level of technological advancement, and the growing demand for connected devices and IoT applications.

The region has a strong focus on research and development, with significant investments in developing new technologies and expanding the application of existing ones.

Additionally, the region has a high level of consumer spending on healthtech, electronics and home automation, which further drives the demand for embedded systems.

Key Target Audience

  • Market Players
  • Investors
  • End-Users
  • Government Authorities
  • Consulting and Research Firm
  • Venture Capitalists
  • Value-Added Resellers (VARs)


Overall, the Embedded System Market is expected to continue to grow as technology advances and new applications for embedded systems emerge.

Medical device technology and embedded solutions are essential for the medical device industry.

Overall, the combination of factors positions North America as a dominant market for embedded systems and is expected to continue to drive growth in the coming years.

If you want to get more insight have a look at the Article of Medical Device Network:

HealthTech Industry Update | Market outlook Medical technology 2024

Economic crisis, inflation and rising prices cast a long shadow over the new year. What will the future of the medical technology market look like in 2024?

#1 Cost back to number one

Medical technology in Germany is under enormous pressure – enormous cost pressure. Two thirds of the MedTech companies in Germany expect better sales results than in 2022, but this does not yet come close to the pre-pandemic years. With an average increase in sales of 4.8 percent, the German market is also performing significantly worse than the rest of the world (6.4%).

Medical technology manufacturers are putting the brakes on investments and cutting R&D spending, and many are closing their domestic production facilities because energy prices, personnel costs and compliance costs are rising.

#2 Outsourcing becomes a question of survival

Rather, in 2024, manufacturers will continue to outsource their development, production and supply chain, integrate external partners more closely into their own team of employees and place as much of the bureaucratic compliance effort in the hands of third parties as possible.

Through outsourcing, companies also gain the much-needed flexibility and speed to innovate in the current competitive environment and focus on their core competencies.

This strategy becomes a question of survival, especially for small and medium-sized companies (SMEs), which make up 93 percent of the industry.

This brings new challenges to the fore. Anyone who relocates their production to lower-cost countries must meet high quality and compliance standards and also ensure these “remotely”.

Outsourcing is not an ad hoc solution. A long-term strategy and a careful selection of the partner network are therefore crucial.

#3 Supply Chain: Resilient but highly bureaucratic

Delivery bottlenecks remain a nuisance. However, a radical realignment of the supply chain – as was conceivable two years ago – no longer seems necessary.

The semiconductor market is an example of this upward trend. The second half of 2023 already saw an improvement in supply and availability. Lead times, costs and market dynamics appear to be stable so far. This trend is likely to continue in the coming months.

From January 1, 2024, the Supply Chain Due Diligence Act (LkSG) will apply in Germany for the first time to companies with more than 1,000 employees. An even stricter law is set to come into force at EU level in the next few months. The draft guidelines for this were already adopted in the summer of 2023.

#4 AI: From trend to technology transition

A topic that should not be missing from any trend list in 2024 and is also gaining importance in medical technology is artificial intelligence (AI). The legal framework for safely using AI technologies in such a highly sensitive area as medicine and healthcare is either incomplete, immature or a long time coming. The Artificial Intelligence Act (AIA for short), passed in June 2023, for example, will probably only take effect in two to three years at the earliest.

However, MedTech companies must now develop an AI strategy if they want to benefit from the technology and remain competitive.

AI is more than just a chatbot à la ChatGPT. Artificial neural networks (ANN) trained with photos can already classify melanoma and carcinoma and detect skin cancer at an early stage. Surgical robots use computer vision to distinguish between different types of tissue.

Large Language Models (LLMs) simplify access to important information for physicians. And generative AI (GenAI) relieves the burden on medical specialists and nursing staff in the healthcare system when it comes to documentation and monitoring.

For MedTech manufacturers, in addition to boosting product innovation, AI has a massive impact on manufacturing, development and supply chain. Because with and through AI, AI solutions for medical technology can also be developed, implemented and brought to market more quickly. In the semiconductor market, for example, in the future Microsoft AI will take over the design of the planned Microsoft AI chips itself. In the next few years, manufacturers will increasingly invest in the AI ​​suitability of their locations or, alternatively, rely on partners with the appropriate capacities and know-how.

#5 Sustainability is no longer a USP in medical technology

The social, economic and ecological footprint of medical technology remains large. According to the SEE Impact Study, the industry is responsible for emitting 8.9 million tons of greenhouse gases in Germany alone. Over 60% of emissions occur indirectly in global supply chains.

The demand for product sustainability solutions has been increasing continuously for years and is growing in parallel with regulatory requirements in the EU.

In the future, decarbonization strategies will therefore focus more on all phases of the product life cycle.

Sooner or later, however, sustainability will lose its unique selling point and become the norm.

#6 Compliance mix: MDR, GDNG & Co.

The bureaucratic and regulatory pressure on medical technology will continue to increase in 2024. In addition to cross-industry requirements on supply chain, sustainability, cybersecurity and the use of AI, MedTech manufacturers are still struggling with the implementation of the EU Medical Device Regulation (MDR).

A bright spot in the compliance jungle, however, is the Health Data Use Act (GDNG). The draft is intended to reduce bureaucratic and organizational hurdles in data use without endangering data protection.

See more details in the article on digital health industry

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:

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.


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.


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:

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.


      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!


      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.


      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:,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:

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