“Integration of Artificial Intelligence in Population Health Management”
- Artificial Intelligence is increasingly being integrated into population health management to enhance predictive analytics, streamline administrative workflows, and support clinical decision-making
- Healthcare providers are using AI-powered tools to analyze large datasets, enabling early identification of at-risk patients and allowing timely interventions
- For instances, Mount Sinai Health System uses machine learning models to predict heart failure risks in patients
- AI is also being applied to automate routine tasks such as appointment scheduling and patient follow-ups, which helps reduce the burden on healthcare staff
- For instance, Cleveland Clinic utilizes AI chatbots to manage appointment bookings and symptom assessments
- The adoption of AI helps improve care coordination by delivering actionable insights that support personalized treatment plans and reduce hospital readmissions
- This trend demonstrates a shift toward data-driven and technology-enabled healthcare delivery, which aims to improve population health outcomes while reducing costs and operational inefficiencies
