Even though wearables have been around for a while, we're still in the early stages of using them for real clinical use cases. As the accuracy and clinical efficacy of data from wearable data devices improve, they'll become a valuable part of the digital health ecosystem for personalized and preventative healthcare / self-care.

Real-time data from apps and wearables aid in developing a comprehensive view of a patient's health. Outside of the clinical setting, longitudinal data gives more context to their social and behavioral habits. This wearable data can also be utilized to keep patients remotely, allowing doctors to track vitals and prevent negative outcomes.

Healthcare Implementation

Wearable data in healthcare enables remote care for chronic and post-acute illnesses by using hundreds of devices and data points. You may manage many care programs simultaneously regardless of illness or population size, from COVID-19 to diabetes, hypertension, and beyond.

The concept is straightforward to implement, emphasizing the significance of wearable data's potential in healthcare. The solutions can either be linked into existing workflows, such as the electronic health record or used as a standalone RPM solution. APIs can be used to configure the interface further or can be integrated directly into your own application.

To enroll a patient in your remote monitoring program, all you need is their email address. Patients can either connect their gadgets or manually provide readings. You can also contribute your own readings.

Having set up notifications, you'll be told immediately if a reading falls outside the normal parameters you've specified for each patient. Use the video feature of the portal to check in with patients.

Clinical Trials and Pharma

Clinical trial participants can collect their data remotely, which means fewer in-person visits and less manual tracking. Researchers can make protocol changes and better decisions based on how participants react to a medicine if they access real-time data.

Early warning signs can also be discovered to aid in identifying therapeutic efficacy for specific subgroups of the research population. In addition, ‘white coat’ syndrome is far less likely to present within the trial group, given a reduced subjection to unfamiliar clinical environments.

Mental Health

It's critical to comprehend the link between physical and mental wellness, given that specific triggers and physical changes can be ascribed to mental health crises. It is possible to offer confidence and positive change to the way care is provided within the sector by tracking the triggers and correlations.

Insurers and Risk Reduction

Close observation, similar to a black-box fitting for new drivers, has risk-reduction benefits. The importance of wearable data in terms of healthcare and insurance will become invaluable.

Consumer health data from devices and applications can help you improve your engagement initiatives by providing better data insights, resulting in improved health outcomes. You can identify high-risk members and those who show early indicators of chronic diseases, allowing you to reduce risk across your whole insured community.

Because real-time healthcare data is now available, fraudulent health claims may be minimized. Previously, evidence was largely based on medical assumptions based on symptoms described and not necessarily recorded.

The ability to reduce risk or damage to patients, even saving lives, is attributable to accurate real-time data collected, regardless of where that patient concerns a healthcare facility. The importance of wearable data is even more critical now in healthcare than ever before.