Hospitalist medicine has become the backbone of inpatient care in the United States, with approximately 60,000 hospitalists managing the majority of medical admissions according to the Society of Hospital Medicine. Hospitalists face a unique clinical decision support challenge: they manage patients with multiple concurrent acute and chronic conditions, coordinate with numerous consulting services, and must ensure safe transitions of care at admission and discharge. A 2019 study in the Journal of Hospital Medicine found that nearly 1 in 5 Medicare patients discharged from a hospital is readmitted within 30 days, a metric that reflects the complexity of inpatient management and the criticality of evidence-based discharge planning.
Clinical decision support AI serves hospitalists across the entire inpatient encounter. At admission, CDS tools assist with medication reconciliation and identification of drug interactions in patients who may be taking a dozen or more medications. During the hospital stay, hospitalists use evidence-based protocols for venous thromboembolism prophylaxis, glycemic management, delirium prevention, and antibiotic stewardship. At discharge, CDS tools help ensure that medication lists are reconciled, follow-up appointments are appropriate, and patients receive evidence-based education about their conditions. The breadth of conditions managed by hospitalists -- from community-acquired pneumonia and acute kidney injury to exacerbations of heart failure and COPD -- requires a CDS platform with comprehensive, cross-specialty evidence coverage that can be accessed rapidly during rounding workflows.