As healthcare systems face growing pressure—from aging populations to workforce shortages—sensor technologies offer powerful solutions. Integrated into cutting-edge devices, they enable real-time monitoring, sharper diagnostics, and personalized care.
These innovations are reshaping care delivery, making healthcare more efficient, connected, and adaptive to today’s evolving needs.
How to summarise the key issues facing global healthcare?
There are multiple vectors that interact simultaneously. And while there may be general agreement about the direction of those vectors, expert opinions about their magnitude and speed of change vary, both at global and regional levels.
As a first vector, let’s begin with the size of the global population. Although the growth rate is decelerating, total population continues to increase. Estimated in 2024 by the UN at 8.2 billion, estimates suggest figures of 8.5 billion in 2030, 9.7 billion in 2050, to reach approximately 10.4 billion somewhere around 2100.
A second vector is the health of the population and causes of death. Thanks to the progress made since 1800 in combating communicable diseases, nutrition and infant mortality, life expectancy has increased. It continues to do so – and this has two impacts. Firstly, the proportion of people aged over 65 will increase (from 9% in 2019 to about 22% in 2050). Secondly, the major causes of death are increasingly non-communicable diseases.
A third vector of global health is the evolution of the healthcare profession and its institutions. The global average of 1.3 physicians per 1.000 population in 1960 had increased to 1.7 in 2020. In reality, those skills are unevenly spread, says the World Health Organisation (WHO). Across world regions, the density of health workers can vary by a factor of 10, and there is great variability in the skill mix. The WHO estimates a global shortfall of 11 million health workers by 2030.
Increasing demand for healthcare services, plus insufficient skilled resources puts health institutions under constant stress. On top of that comes the ever-evolving nature of global healthcare priorities. Overcoming one healthcare challenge simply throws up a new one, which requires a completely different response.
Huge amounts of resources have been made available for healthcare. Expenditure on healthcare systems and insurance schemes by governments – practically insignificant before the 1930s - has taken a growing share of GDP. Figures for individual OECD countries, which were typically between 2% and 4% in 1960, had risen to 9.2% by 2022. Whether that is enough resource is an ongoing discussion.
Healthcare institutions are well aware that they must continually re-invent themselves. Meantime, innovators in technology, industry, and research contribute to new solutions on a daily basis; and healthcare institutions are keen to take advantage of them.
The pragmatic interaction between industry and healthcare has created numerous innovations that deliver a ‘better-tool-for-the task’.
This is particularly true when it comes to the integration of sensors for parameters like torque, force, pressure, acceleration, load, and inertia – many of which are essential for the delivery of these new technologies.
As a result of this collaboration between medicine and technology, sensors have made a few significant leaps forward.
The integration of reliable, miniaturized sensors has been an essential part of this collaboration, revolutionizing patient monitoring and care.
For example, the introduction of compact multi-sensor arrays allows medical device OEMs to make their products light and wearable without compromising accuracy. These sensors are also designed to measure multiple parameters simultaneously, saving space inside the device and lowering power consumption without sacrificing accuracy.
This has driven the adoption of wearable tele-health devices that allow healthcare providers to monitor patient health remotely and identify medical concerns earlier. This allows patients to be treated earlier and faster while also reducing the need for in-person healthcare – a combination that serves overloaded healthcare facilities and patients alike.
These sensor arrays can also be used to make many medical devices more efficient and patient-friendly. For example, CT machines require the use of highly repeatable table positioning to support the precision movement of imaging devices. OEMs have been using HBK’s multi-axis strain-gauged subassemblies to achieve smoother, more consistent table movement while adjusting for patient weight distribution.
These enhancements are allowing OEMS to create more accurate diagnostic machinery with precise positioning accuracy.
Similarly, mammography machines have been improved with the use of dual and triaxial strain gauge force sensors. These sensors, mounted on the top and bottom clamps of the mammography machine, monitor the amount of force applied to the patient. As a result, this has improved positioning, patient comfort, and image resolution while preventing machine over-travel.
Meanwhile, the adoption of robotic-assisted surgery, real-time AI-driven diagnostics, and remote patient monitoring has made real-time data acquisition and connectivity essential. In situations where a robot is completing a complex surgical procedure, or an inertial sensor is tracking a patient’s movements, lagging or missing data can be catastrophic. OEMs require the sensors in their devices to offer high-speed, real-time data processing with low latency.
This reliable, affordable connectivity has allowed healthcare technology to expand exponentially into the inter-connected Internet of Medical Things (IoMT).
Remote robotic surgical systems are the perfect showcase for the critical importance of real-time data acquisition. For orthopaedic surgeries performed remotely, HBK has designed multi-axis custom strain gauge sensor subassemblies that measure both depth of force and drill bit rotational force. These subassemblies have accuracy requirements that are precise down to the tens of thousandths of an inch.
By measuring compression and tension forces, surgeons can determine exactly how far to drill into bone on X-, Y-, and Z-axes while maintaining precise positioning. As a result, this technology enables the development of high-precision robotic surgical devices that offer greater accuracy and performance capabilities.
With the health and lives of patients at stake, utmost precision is essential in medical devices. As a result, healthcare device OEMs are increasingly seeking the latest technologies that improve the accuracy and granularity of their sensor data.
The latest piezoelectric sensors, for example, deliver unmatched accuracy in the highest temperatures, improving the performance of devices like ultrasound probes, drug delivery systems, and diagnostic sensors.
Technology like microelectromechanical systems (MEMS) – which combine measurement with control functions – can also be essential here. MEMS sensors are small and sensitive, making them ideal for use in medical technology like blood pressure sensors or drug delivery systems. Crucially, MEMS sensors can easily be produced on a large scale without sacrificing quality or accuracy, making them both efficient and reliable for use in healthcare contexts.
These innovations are reshaping care delivery models, making medicine more personalized, connected, and predictive.
The importance of high-precision sensing is demonstrated clearly through the use of medical pumps. HBK has developed subminiature strain gauge sensor assemblies for insulin pumps that can monitor and control fluid output with exceptional precision – even in the compact, high-vibration environment of wearable devices.
These sensors are positioned and strategically weakened to allow for both manual and automatic control of insulin delivery, making them an industry standard for leading insulin pump manufacturers.
Similarly, in medical infusion pumps, HBK’s 1.5 lbf strain gauge sensor assemblies – installed in blade-shaped configurations – enable uniform fluid delivery without making contact with the fluid itself. These sensors measure the weight of the fluid, but also detect increased fluid loss, empty bags, and potential flow interference – critical for intravenous anaesthesia, pain management, and blood transfusion equipment.
The Internet of Medical Things (IoMT) opens up entirely new ways to address healthcare challenges. This interconnectivity enables real-time health analytics, remote monitoring, and AI-driven diagnostics, making healthcare more predictive and proactive than ever before
As always, the nature of the answer depends on the question. Here, we’ll take a brief look at a few examples of questions that are shaping today’s medical industry and its approach to new technologies:
The ‘home health’ approach envisions solutions for non-critical conditions that the patient can use themselves. Its importance increasing in proportion to the aging global population profile, which puts additional strain on many overloaded healthcare systems.
Medical devices that monitor and/or control a condition can be worn continually ( e.g. an activity tracker) or implanted (e.g. a heart pacemaker). Devices that require intermittent monitoring or intervention (e.g. blood pressure, diabetes) may be made portable.
These types of devices track key health parameters in real time and provide analysis for self-observation, enabling healthcare professionals to focus on critical cases. These tools can also be used to adjust treatments remotely and reduce the number of unnecessary hospital visits.
The tele-health approach complements home health. The data collected by home health systems can be shared and discussed with healthcare professionals as needed and remotely via online meetings; prescriptions can be issued and medicines can be ordered online.
Remote surgery (also known as telesurgery) enables a doctor to perform surgery on a patient though they are not physically in the same location. It combines robotics and high-speed data communications to allow the expertise of specialized surgeons to be available to patients worldwide, without the need for patients to travel beyond their local hospital.
Given fixed limits on the number of professionals available, national and regional authorities take very different approaches to “who may do what”. Some national authorities allow specific medical or surgical procedures to be carried out by suitably trained nursing or para-professional staff, as a way to circumvent shortages in physicians or surgeons.
Medical equipment designed with intuitive sensor technology can help expand who can safely operate certain devices. For example, patient lift systems that incorporate strain gauge force sensing assemblies inside the lift handle allow for intuitive control over the speed of movement based on the amount of force applied.
Given the fixed limits on the number of professionals available, national and regional authorities take very different approaches to “who may do what”. Some national authorities allow specific medical or surgical procedures to be carried out by suitably trained nursing or para-professional staff, as a way to circumvent shortages in physicians or surgeons.
This user-friendly implementation enables a wider range of medical staff to safely operate these devices while maintaining proper weight distribution and centre-of-gravity monitoring.
Re-designing professional tools continues to be one of the most effective ways to increase productivity. If the re-design means that the procedure can be consistently and successfully delegated to staff with lower qualifications, the gain in productivity is multiplied by the increase in scope of application.
Sensors that provide real-time feedback on medical equipment functions can also reduce the cognitive load on healthcare professionals. For instance, in kidney dialysis machines, HBK strain gauge technologies monitor not only the pumps but also the weight of blood and waste canisters and the flow of intravenous fluids. This integrated approach ensures the system has the necessary checks and balances for smooth operation, allowing healthcare professionals to focus more on patient care rather than equipment monitoring.
Artificial intelligence (AI) is transforming medical diagnostics by analyzing large volumes of health data – including medical imaging, lab results, and patient histories – with greater speed and precision. AI algorithms help detect conditions such as cardiovascular diseases, neurological disorders, and certain cancers earlier than traditional methods. As a result, AI can help ensure that patients start treatment as early as possible, increasing the chances of success.
This makes AI particularly powerful for underserved communities, where speeding up diagnosis helps medical professionals see more patients and dedicate more time to the process of care. In the process, this lowers the cost of care.
A digital twin is a virtual model of a patient, created using real-time data from connected medical devices, electronic health records, and physiological sensors. This technology allows healthcare providers to simulate treatment scenarios, predict patient responses, and optimize care plans. Digital twins can also be used to model disease progression and test therapies before real-world application, improving precision and personalized medicine. For example, doctors at Johns Hopkins are creating digital twins of patients’ hearts using MRI or PET scan data, modelling how different conditions and forms of treatment will affect the heart’s behaviour.
Using digital technologies can significantly improve the efficiency and speed of care, but doing so also introduces new risks.
Many healthcare organisations are still working with legacy systems with unpatched vulnerabilities, or lack the proper training and processes required to keep patient data as secure as possible.
Secure data exchange technologies, such as decentralized records, can help to maintain data confidentiality, integrity, and traceability. They reduce the risk of tampering, facilitate secure sharing between healthcare professionals, and ensure controlled access to medical information, protecting against cyber threats and data breaches.
Introducing new technologies can be daunting from a compliance perspective, since all medical devices must meet strict and ever-evolving standards for safety, accuracy, and performance.
Medical sensors in particular must meet strict regulatory standards (including FDA, ISO 13485, MDR, or IEC 60601 depending on the region in which they are used and built) and biocompatibility requirements. As a result, reliable, accurate results and certification is essential for any provider of medical devices or their components.
The medical sector is undergoing a rapid transformation, driven by robotics, AI, telehealth, and the Internet of Medical Things (IoMT). At the heart of this technological revolution, HBK stands out as a key enabler, delivering next-generation sensor solutions that combine precision, reliability, and high performance.
Our miniaturized sensors, custom assemblies, and real-time feedback technologies empower medical device manufacturers to create safer, smarter, and more efficient systems, meeting the evolving demands of modern healthcare.
Why partner with HBK?
Whether it’s enabling precise positioning for imaging equipment, optimizing remote robotic surgeries, or ensuring safe, efficient delivery in infusion and insulin systems, our technologies power the most advanced medical devices on the market.
By partnering with HBK, you gain access to certified, compliant technologies and expert guidance at every stage — from concept to deployment.
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This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.