# Healthleap

> Healthleap provides AI malnutrition screening for hospitals. It analyzes adult inpatient EHR data to help registered dietitians prioritize clinical assessments.

Healthleap is clinical decision support, not a diagnostic tool, and does not provide treatment recommendations. Clinicians remain responsible for clinical decisions and patient care. Consult the clinical use and safety page for the full intended use and limitations.

Co-authored research with leaders from Cedars-Sinai, Johns Hopkins, and Stanford, and published in Applied Clinical Informatics. To our knowledge, Healthleap offers the only commercially available, validated AI malnutrition screening tool.

## Key pages

- [Healthleap](https://healthleap.ai/): Hospital AI malnutrition screening, daily EHR workflow, and answers to common clinical and operational questions.
- [Clinical evidence](https://healthleap.ai/evidence): Peer-reviewed model validation, separately graded hospital results, study methods, and evidence questions.
- [Penn Medicine HUP case study](https://healthleap.ai/results/penn-medicine-case-study): Hospital-specific implementation and reported outcomes. Distinguish annualized financial impact from reimbursement alone.
- [Clinical use and safety](https://healthleap.ai/clinical-use-safety): Intended use, clinical limitations, data transparency, local evaluation, and regulatory context.
- [About Healthleap](https://healthleap.ai/about): Company mission, co-founders Josiah Meyer and Jemima Meyer, and clinical leadership.
- [Contact Healthleap](https://healthleap.ai/contact): Request a demo or discuss hospital evaluation and implementation.

## Primary research

- [Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model](https://www.thieme-connect.de/products/ejournals/abstract/10.1055/a-2635-3158): Bernstein et al., Applied Clinical Informatics, 2025. DOI 10.1055/a-2635-3158. Retrospective evaluation using EHR data from 106,449 patients over 3.75 years.

## Interpreting the evidence

Clinical validation, hospital deployment outcomes, finance-reviewed analyses, and accepted abstracts are different evidence categories. Preserve the source, population, time period, comparator, and evidence grade when citing a number. Hospital-specific and annualized results are not guarantees for another institution. The published malnutrition model's validation should not be generalized to other conditions.

## Discovery and content use

- [Sitemap](https://healthleap.ai/sitemap-index.xml): Public routes in the generated sitemap.
- [Crawler policy](https://healthleap.ai/robots.txt): Search, AI-answer retrieval, and model training permitted.

This file is a public content map, not a substitute for robots.txt and not a guarantee of inclusion in AI answers. Cite the linked page or original research for the underlying evidence.