By Piali De
Ibis is changing chronic care management in profound ways. The Ibis solution is unique in that it is (1) disease agnostic, (2) patient centric and (3) focused on homebound vulnerable patients. Its value proposition comes from connecting the dots between patient behavior and health outcomes, for real-time, personalized population management.
Ibis is transforming self-management. Ibis reminds patients to take medications, measure vitals, eat meals, exercise and complete various self-checks. These reminders not only help to track the quality of their self-management and health, but recognize emerging issues and guide patients through these issues.
Ibis is engaging caregivers. Ibis provides caregivers with critical information needed to make meaningful and productive interventions. The real-time patient behavioral and biometric data is correlated, providing insights into the patient’s health and care plan adherence. Ibis can recognize any issues and inform caregivers about what caused the issue to arise and what the patient is doing to solve this issue. With this knowledge, the caregiver is better equipped to intervene when necessary and to provide ongoing support to the patient.
Ibis is providing insightful analytics. Using the information collected in the CareStation, Ibis is able to provide organizational level insight about who among the population has good self-management behaviors, who doesn’t, and how the differences in the quality of self-management manifest themselves in the differences in quality of health. These insights enable program developers to address the needs of large segments of the population.
Ibis is constantly evolving. Currently, Ibis is addressing the needs of patients with COPD, CHF, Hypertension, and Type 2 Diabetes. In the future, Ibis will also address depression, pneumonia and other chronic illnesses. Behind Ibis is a game-changing artificial intelligence technology that can process large volumes of data in real time. Until now, health data has been sorely underutilized. Ibis not only provides real-time behavioral data, it consolidates all data and analyzes it to provide critical insights for effective population health management.