Plastic and Reconstructive Surgeon at Advanced Plastic Surgery Center
Answered 5 months ago
James M. Economides, MD, FACS is a board-certified plastic surgeon specializing in aesthetic surgery and non-invasive rejuvenation of the face, breast, and body. He has evaluated and investigated numerous medical devices. In aesthetic medicine, where medical devices promise the next biggest and best innovation in age-defying treatments, the biggest pitfall for device companies is in overselling their effectiveness based on scientific studies. Often the study results, no matter how promising, fail to have significant clinical relevance. They don't pass the "So what?" test. For example, if the company's studies show their device thickens the dermis by 50% under a microscope, they'll market that device's ability to make skin radiant and youthful. But if the patient doesn't see any improvement in their skin, they won't care what the histology shoes. Hype only goes so far.
The common reason why technically flawless medical devices fail in the real-world workflow is that development and regulation still view them as isolated products rather than as integrated components of a dynamic, stressful, and overloaded human-system. Technical documents confirm that the device itself is safe and effective. However, they fail to anticipate or adequately assess the friction that arises at the interface between the device, the human, and the complex clinical environment. For example, in the market for medical alert devices for the elderly, there is a problem with the alert process. If the alert system is not seamlessly integrated into the life of the family or the call center operator, there is a delay. The device may work perfectly, but if it transmits the signal through a complex, multi-step protocol (for example, first a call to a home phone that no one answers, then an SMS that no one sees), the system as a whole fails. There is also a problem in our market, for example, the "SOS" button may be too small or may not have tactile feedback for users with limited motor skills or impaired vision. Alternatively, the device may require a complex re-activation process after a false trigger, which can cause fear in users and lead to them simply refusing to wear the device. As a result, the fall detection device fails not because of a component failure, but because its requirements do not fit into the daily routine, habits, and physical limitations of the user and their caregivers, creating an invisible friction that leads to the device not being on the user's arm, incorrect responses, or delayed assistance.
The repeated problem we've observed happens when medical devices introduce interfaces that don't match the existing work patterns of healthcare professionals--especially in urgent clinical situations. A device might pass all technical validation tests but end up being impractical if it demands extra steps, requires users to set up new login credentials, or forces changes to established workflows during procedures. For example, a private diagnostics group introduced a point-of-care imaging device that met clinical requirements but failed to gain traction because it pulled staff away from their EMIS tasks and couldn't integrate with their reporting system. To improve adoption, the team had to map out the entire clinical workflow and secure native EHR integration support. The root of these interface mismatches often lies in engineer-dominated development cycles that lack early and meaningful clinician involvement. Usability and workflow alignment need to be built in from the very beginning--these aren't features that can simply be added in later iterations.