We are continuing to develop strategies to test and improve care delivery for patients with heart failure across the acute care continuum. This study will evaluate the efficiency of and adherence to a novel Acute HF Report in KPHC that collates useful clinical information in one place, including patient-specific current cardiac meds, ejection fraction, lab values and vital signs, links to treatment guidelines, and prompts to initiate medications in appropriate patients. We will assess how frequently medicine order errors at ED or hospital discharge occur and how missed prescription orders for diuretics or antibiotics impact quality of care. We will also explore strategies to improve the safety of medicine orders at discharge.
Improving Risk Stratification of Emergency Department Patients with Acute Heart Failure: Building and Testing a Machine-learning Platform for Personalized, Accurate, Real-time Risk Prediction
Investigator: Sax, Dana
Funder: TPMG Physician Researcher Program
