Improve Patient Engagement with Case Managers

Healthcare Clinical Patient Experience Improve Health Outcomes Executive Summary
Discover the underlying reasons behind why patients may refuse to engage with care managers.
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Overview

Business Problem

Case managers play an important role in improving the health outcomes of patients. For case managers primarily employed at healthcare payers, they are at the core of value-based care, helping patients ensure they receive necessary and timely care for their individual conditions. Another key aspect of their role is to ensure patients receive care in the most efficient but effective way possible. By having the channel to clearly communicate and educate patients on preventative care, the case manager’s ultimate objective is to safely keep their patients outside of the hospital room, helping not only the patient but also reducing medical costs in the health system. The U.S. Bureau of Labor Statistics estimates that the number of case managers is going to grow 20 percent between 2016 and 2026. However, the case manager’s impact is limited when patients aren’t engaged. Disengagement leads to poorer lines of communication and results in a higher chance the patient will fail to follow health guidelines meant to keep them from getting admitted.

Intelligent Solution

AI informs your case managers of the engagement probability of every patient at hand, and also offers guidance on the top statistical reasons why they are likely to be engaged or not engaged. This not only helps your case managers focus their time on the patients who are most likely to be engaged, but it also helps them understand the underlying reasons behind why other patients may not be as engaged. This can give them insights that allow them to empathize with each patient and understand whether there are factors within the case manager’s control to improve their engagement. The overall result is that case managers will maximize their impact on the patients who are going to be engaged regardless and also prevent inactivity from those predicted to have a low engagement.

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