ARTIFICIAL INTELLIGENCE SOFTWARE FOR PREDICTING HOSPITAL READMISSIONS AND IMPROVING POST DISCHARGE PATIENT CARE

Abstract

Artificial intelligence software can predict hospital readmissions and improve post-discharge patient care by analyzing medical records, diagnosis history, medications, laboratory results, and previous admissions. Machine learning models identify patients with a high risk of returning to the hospital and support early intervention. The system can generate personalized discharge plans, medication reminders, follow-up schedules, and alerts for worsening symptoms. Healthcare teams can use risk scores to prioritize home monitoring, teleconsultation, and care coordination for vulnerable patients. Integration with electronic health records allows continuous review of patient progress after discharge. Data encryption, role-based access, and clinical validation help maintain security and reliability. Overall, the software can reduce preventable readmissions, improve treatment continuity, strengthen patient engagement, and support safer recovery outside the hospital.