This startup offers a mobile clinical assistant that helps healthcare professionals manage and treat disease-related malnutrition. The tool provides resources and support to improve patient outcomes by addressing nutritional needs.
Funding
$1.1M raised to dateRaised 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.
Founders
Product
Problem
Clinicians often struggle to manually sift through vast amounts of patient data within electronic health records to identify malnutrition and other at-risk conditions. This manual process is time-consuming, prone to errors, and can lead to delayed diagnoses and missed opportunities for timely intervention. Consequently, patient outcomes may suffer, and hospitals may face financial losses due to under-billing for the care provided.
Solution
HealthLeap offers an AI-powered patient screening platform that continuously analyzes live data from patient charts, including lab results and clinical notes, to identify patients at risk for malnutrition and other conditions. The platform's AI algorithms automatically aggregate and document diagnostic criteria, enabling earlier detection and intervention. By identifying malnutrition earlier, HealthLeap helps reduce length of stay, lower readmission rates, and improve patient outcomes. The platform also saves clinicians time by eliminating the need to manually comb through health records, and it helps hospitals capture appropriate revenue by accurately identifying and documenting malnutrition cases.
Target Audience
HealthLeap primarily targets hospitals, healthcare providers, and registered dietitians seeking to improve patient outcomes, reduce costs, and increase revenue through earlier and more accurate identification of malnutrition and other at-risk conditions.
Features
- Continuous AI-driven screening for malnutrition and other conditions using real-time patient data
- Automated aggregation and documentation of diagnostic criteria
- Customizable AI models tailored to specific facilities, units, and patient populations
- Integration with existing electronic health record (EHR) systems
- Identification of patients at risk for pressure injuries and heart failure readmission
- Reporting dashboard for tracking key metrics such as length of stay and readmission rates