Predict Patient Nonadherence / Leakage in Provider Facilities

Foresee Which Patients Are Likely to Churn Before Completing Their Course of Care

Overview

The healthcare industry is increasingly embracing innovative technologies to improve patient care and operational efficiency. From physical therapists to dentists, healthcare providers across various settings are facing numerous challenges, including patient nonadherence. Patient nonadherence occurs when patients discontinue their prescribed care plans, leading to compromised health outcomes and significant revenue losses.

Problem Statement

A critical issue for outpatient healthcare providers is patient nonadherence, with studies indicating that only 30% of patients complete their entire course of care. This problem results in both suboptimal health outcomes for patients and financial losses for healthcare providers due to reduced patient retention and consequent leakage.

Solution Overview

Generative AI offers a potent solution to the problem of patient nonadherence by predicting which patients are at risk of discontinuing their care. By analyzing historical patient data, including demographic details, medical history, and engagement patterns, AI models can learn to identify the key indicators of potential churn. This allows healthcare providers to proactively address patient needs and mitigate risks of nonadherence. For instance, AI-driven insights can highlight that patients with specific conditions or demographic profiles are more likely to drop out. Healthcare providers can then tailor their interventions, such as personalized communication or additional support, to these at-risk patients, addressing specific barriers to adherence. Additionally, the AI system provides actionable insights into the reasons behind each patient's likelihood of churn. This enables healthcare providers to implement targeted prevention strategies, such as scheduling personalized follow-ups or offering additional resources and support to ensure patients stay on track with their treatment plans. Through detailed analytics and prediction capabilities, AI helps reduce nonadherence rates, leading to better patient outcomes and increased revenue for healthcare providers.