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Speak directly with a HealthLeap co-founder
Ray Duncan
Former CTO, Cedars-Sinai
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Our malnutrition solution is a win-win for patients, clinicians, and healthcare providers. The right patients get treatment earlier, clinicians save time each day, and healthcare providers generate appropriate revenue to cover their costs.
Intervening on malnutrition earlier has been shown to improve patient outcomes, reduce length of stay, and reduce readmissions. Detecting malnutrition (highly underdiagnosed) more accurately helps hospitals get reimbursed for the care they actually deliver.
We fine-tune our AI models so the predictions are specific to the facility, units, and patient population. We customize to local workflows and policies to help clinicians with patient prioritization.
We’ve co-authored a retrospective paper (Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model), publication coming soon!