The Inpatient Risk Monitoring category focuses on AI-powered solutions that continuously track patient data within healthcare facilities to detect early signs of deterioration and prevent adverse events. These platforms aggregate data from EHRs, bedside monitors, lab results, and clinical notes, providing clinicians with real-time insights directly within their workflows. The goal is to enable timely interventions, reduce hospital-acquired conditions, and improve patient outcomes. Key use cases include sepsis detection, fall risk management, and ICU decision support. These tools adapt to individual patient needs by learning from clinician feedback, refining predictions over time for greater precision. By integrating with existing hospital protocols and workflows, inpatient risk monitoring solutions optimize care delivery, reduce readmissions, and enhance operational efficiency, ultimately supporting safer and more effective inpatient care.