센스필

There is a significant disconnect in data between medical settings and patients' daily lives, especially in chronic disease management. Medical consultations rely on temporary data, often missing changes in the patient's condition.

Existing remote monitoring solutions have limitations in personalized, predictive management due to lack of compatibility between devices and data overload.

SenseFeel is an integrated health data platform between hospitals and patients. It collects data from wearable and IoT sensors (blood pressure monitors, blood glucose sensors, etc.) in real-time, which is then analyzed by cloud AI [40]. This predicts the risk level for each patient, alerts healthcare providers, and provides customized advice to patients.

For example, AI can detect weight and pulse patterns in heart failure patients to provide early warnings of deterioration. Because it is linked to existing medical systems and automatically integrated with electronic medical records, doctors can immediately check the patient's long-term lifestyle data during consultations.

A key differentiator is that it enables more active care compared to existing telemedicine by proactively detecting the possibility of disease with real-time prediction models and taking preemptive measures.

Large hospitals and medical system operators (B2B) adopt this platform for patient management. Insurance companies or public health organizations (B2B) can also use it as a chronic disease management program.

Ultimately, individual patients receive services through the hospital.

As a platform linked to the Hospital Information System (HIS), it can be piloted in university hospitals in the domestic market, and if successful, there is room for expansion by linking with the national medical network or the National Health Insurance Corporation system.

Globally, it needs to be customized to each country's medical IT standards, but there is sufficient potential for entry due to similar demands for remote patient monitoring. However, it is necessary to comply with medical data privacy regulations and is affected by the speed of digital transformation of hospital organizations.

At CES, it received positive attention as a future-oriented digital healthcare model. Although closer to a research outcome than a finished product, its significance was recognized as an innovation attempt led by a university hospital.

Market experts also mention the realistic view that "although the concept is excellent, there are many obstacles to overcome before it can be introduced into the medical field." Overall, it is evaluated as a showcase-level prototype.