New technologies are adding complexity to healthcare systems, requiring HTM teams to take a more active role in managing performance, risk, and reliability.
By Rajesh Govindan Adikesavan
Modern hospitals rely on a growing network of electronic systems—monitors, infusion devices, imaging platforms, wearables, and implantable technologies—and their reliability directly affects patient safety.
As these systems become more complex and more connected, the responsibility for keeping them running falls increasingly on healthcare technology management (HTM).
Wearables and Remote Monitoring Expand the Scope of HTM
Remote patient monitoring and wearable devices have changed how healthcare is delivered. Devices now continuously capture data such as heart rhythms, oxygen saturation, blood pressure trends, and activity levels.
For HTM teams, this expansion adds new operational challenges. Device volume increases, along with the number of potential failure points. Success depends not only on whether a device functions on its own but also on whether the supporting infrastructure, including connectivity and data flow, remains stable under real-world conditions.
Managing these systems requires visibility across distributed environments, along with processes to monitor performance and quickly identify failures that may occur outside the hospital setting.
Implantable and Neurotechnology Devices Require Long-Term Performance Assurance
Neurotechnology and implantable devices operate in some of the most sensitive and high-risk environments in healthcare: the human body. Devices such as deep brain stimulators and neurostimulators deliver electrical signals that directly influence neurological function, making reliability critical.
The challenge with these implantable devices lies in the complexity of long-term performance assurance. Unlike external devices, these systems are not easily accessible once implanted. For HTM teams, the focus is on ensuring battery longevity, maintaining signal accuracy, and validating firmware integrity over extended periods of time.
These demands shift the approach away from routine servicing and toward continuous validation to ensure devices function as intended. A clear understanding of how electronic performance translates to patient impact requires proactive monitoring and careful planning.
Bioprinting Systems Introduce Precision and Environmental Dependencies
Bioprinting is an advanced form of 3D printing that involves the layer-by-layer fabrication of biological structures using materials known as bioinks, which contain living cells, growth factors, and biomaterials. While traditional 3D printing uses plastics or metals, bioprinting uses biomaterials, proteins, and living cells. Enabling the creation of tissues such as cartilage, vascular structures, and skin, it is a promising technology for drug testing, regenerative medicine, and personalized healthcare. The integration of electronics, computer-aided design tools, and robotics enables precise control of cell placement during printing while maintaining stable environmental conditions.
The movement of print heads must be precisely controlled to ensure accurate cell placement, while temperature, humidity, and COâ‚‚ levels must remain stable to maintain cell viability. Flow rates of bioinks must also remain consistent, as any deviation can compromise the structural integrity of the printed tissue.
From an HTM standpoint, this requires rigorous monitoring of protocols and calibration. Continuous tracking of environmental conditions, system stability, and sensor accuracy must be validated regularly. Even a small calibration error can result in failed prints and wasted biological material.
AI-Driven Systems Require Ongoing Validation and Oversight
Artificial intelligence is now part of many diagnostic workflows, supporting faster and more precise disease detection. Clinical decision-making is shifting from image interpretation to predictive analysis. These systems are only as effective as how well they are integrated with existing healthcare infrastructure and maintained over time.
HTM teams play a role in ensuring compatibility between AI systems and hospital technologies such as imaging platforms and electronic health records. They must also oversee continuous validation, particularly after software updates, to ensure outputs remain accurate and reliable.
As more advanced technologies are introduced, cybersecurity is becoming a primary concern. Cloud connectivity is commonly used for AI systems, making them potential targets for cyberattacks and data breaches. Ensuring secure communication channels and protecting patient data are top priorities. The challenge goes beyond deployment. These systems require ongoing oversight, validation, and protection.
Robotics in Healthcare: Uptime Is Clinical Performance
Robotic systems are now widely used in healthcare, particularly in surgical settings where precision and control are essential. These systems support minimally invasive procedures, shorter recovery times, and better patient outcomes.
These systems require preventive maintenance, regular calibration, and software updates to ensure consistent performance. Even small errors can delay procedures and impact patient care. Beyond surgery, robots are also used for medication delivery, rehabilitation, and disinfection, further expanding their role.
For HTM teams, the challenge extends beyond technical management to include integration with clinical workflows. Maintenance must be carefully planned to avoid disruptions, and system performance must be continuously monitored so issues can be identified and addressed before they escalate.
Flexible Electronics Introduce New Failure Modes
Traditional rigid devices have limitations in mobility. To address this, stretchable and flexible electronics are designed to adapt to the human body, allowing for more natural movement and improved patient comfort. However, this flexibility also introduces new failure modes and a different set of challenges compared to rigid devices.
These devices are frequently stretched, which can lead to material degradation over time, weakened signal performance, and inconsistent adhesion to the skin. These issues are not always immediately visible, making them more difficult to detect and address.
HTM teams must adapt by developing inspection and testing protocols that account for these characteristics. Traditional maintenance approaches may no longer be sufficient, requiring a shift toward more dynamic, condition-based monitoring strategies.
This shift requires ongoing learning and adaptation as new technologies continue to change how devices are designed and used.
HTM’s Role Is Expanding
The way healthcare systems operate has shifted with these advancements. Electronics are now integral to the care delivery process, moving HTM from a support function to a more central role within healthcare organizations.
Hospitals depend on reliable device performance, seamless interoperability, robust cybersecurity, and effective lifecycle management to deliver high-quality care. Meeting these demands requires collaboration across disciplines, bringing together engineers, clinicians, IT professionals, and administrators.
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About the author: Rajesh Govindan Adikesavan serves as a senior technical manager with 23 years of experience, of which over 19 years are in the medical device industry, with a particular focus on design and development of medical devices. His professional expertise encompasses the end-to-end development of medical technologies, including design, prototyping, testing, and launching the product. He has led multiple initiatives to ensure alignment with evolving global standards, notably contributing to the implementation of European Union Medical Device Regulation compliance programs. He holds a master’s degree in Applied Electronics from Anna University, Chennai, India.
