HealthLeap develops artificial intelligence systems that screen hospital patients for clinical conditions, beginning with malnutrition. Its technology analyzes electronic health record (EHR) data - including lab results, vitals, and clinical notes - to identify at-risk patients in real time. The company's AI malnutrition screening tool processes billions of data points from hospital EHR systems and is validated to screen 100% of hospitalized patients daily.
The system has demonstrated a 95% AUROC during patient stays, with 88% higher sensitivity than manual nurse-administered screening, identifying malnutrition risk an average of four days earlier. HealthLeap is trusted by a number of leading US healthcare institutions, including Cedars-Sinai, Penn Medicine, Houston Methodist, Emory, and Intermountain Health.
The company's work spans artificial intelligence, machine learning, EHR data analysis, and clinical decision support. Founded by siblings to address a critical gap in patient care, the team is led by Registered Dietitians and is expanding its AI screening platform to cover additional major clinical conditions.
