SBIR/STTR Research Award

Algorithm to Identify Patients at Risk of Medication-Related Hospitalization

Award identifier 963860e0da00395ca9687f4971186fcdc88094606e453d2a32ffd5ce22417c2dAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$998,940

Program and phase

STTR · Phase II

Award year

2022

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
L. KRENK, INC.
Proposal award date
2022-09-15
Contract end date
2024-08-31
UEI
RQWTVBKCTTD8
Solicitation number
PA18-575
Topic code
R

Research abstract

The long-range goal of this fast-track research application is to improve healthcare quality and reduce healthcare costs nationwide among those at risk for medication-related hospitalization. The specific objective of this proposed research is to develop an algorithm that uses existing electronic health information to efficiently identify patients at risk of medication-related hospitalization so that they can be referred for medication management services. The project will design, program, and test an algorithm to accurately identify patients at risk of medication-related hospitalization. The algorithm will be tested against a pharmacist review of cases to confirm that the algorithm accurately identified patients at risk of medication-related hospitalization using evidence-based criteria and based on a Receiver Operating Characteristic (ROC) curve analysis. The algorithm will also be tested in terms of user acceptance. For each user group, the algorithm will be deployed, and the user's satisfaction with and use of the information provided about each patient will be assessed.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $1,148,883. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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