Healthleap
HealthLeap is a clinical AI platform that automatically screens every adult inpatient daily for malnutrition and other under-diagnosed conditions, writing nutrition-risk scores directly into the EHR flowsheet. The system prioritizes patients by severity so dietitians can address the highest-acuity cases first, with a peer-reviewed model validated against the clinical reference standard (0.95 AUROC).
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
Funding
Raised to date
$39.1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 3 rounds
$8M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $39.1M
Founders
Founder details are not available yet.
Product
Problem
Hospitals consistently miss malnourished patients, with approximately 5,500 malnourished patients missed per year at a typical 1,000-bed hospital. Manual screening processes are insufficient to catch every at-risk patient, and risk isn't continuously captured and surfaced, leading to delayed identification and intervention.
Solution
HealthLeap analyzes every adult inpatient's chart each day and writes a nutrition-risk score into the EHR flowsheet each morning. The platform scores and sorts patients by nutrition-risk severity, so the sickest patients appear at the top of the dietitian's list rather than being buried in chart review. HealthLeap sits upstream of CDI and coding workflows, feeding them a cleaner, earlier signal without replacing existing processes. The system is validated against the clinical reference standard with peer-reviewed research co-authored with leaders from Cedars-Sinai, Johns Hopkins, and Stanford, and published in Applied Clinical Informatics.
Target Audience
Primary customers are health systems and hospitals, including leading institutions such as Penn Medicine, Cedars-Sinai, Emory, Houston Methodist, Intermountain, Northeast Georgia, and UMass Memorial, along with the registered dietitians and clinical teams who use the platform daily.
Features
- Daily automated screening of every adult inpatient chart with nutrition-risk scores written directly into the EHR flowsheet
- Severity-based prioritization that sorts patients by nutrition-risk level so dietitians can address the highest-acuity cases first
- Peer-reviewed AI model validated against the clinical reference standard with 0.95 AUROC during stay and 0.92 on day one
- Identifies patients with malnutrition 4 days earlier than standard methods
- Platform extends beyond malnutrition to identify delirium, aspiration pneumonia, congestive heart failure readmissions, and pressure injuries
- EHR-native integration that feeds an earlier signal to downstream CDI and coding workflows