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Automating Quality to Accelerate Transformational Improvements in Care (AQUATIC)

Award Number: R44LM014847
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/01/2025
PERIOD OF PERFORMANCE END DATE: 07/31/2028

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Automating Quality to Accelerate Transformational Improvements in Care (AQUATIC) - Abstract Current methods for evaluating quality measures are time-consuming, costly, and often delayed, limiting the effectiveness of timely quality improvement (QI) initiatives. Typically, quality performance assessments are restricted to small patient samples evaluated months after discharge, resulting in inconsistent and statistically underpowered data. This lag hampers the ability to use insights for immediate feedback and improvement. To overcome these limitations, we have developed QuaLLM, an innovative automated toolset that allows real-time abstraction and evaluation of quality measures. QuaLLM enables key stakeholders to assess quality and the effectiveness of improvement-oriented changes in near real-time, with greater efficiency. Our approach leverages Fast Healthcare Interoperability Resources (FHIR) to enable seamless electronic health record (EHR) data exchange and generative artificial intelligence (GenAI), specifically large language models (LLMs), to automate clinical quality reporting. The proposed work aims to develop a foundational model for quality measure abstraction that is easily adaptable to new measures. We will prospectively validate QuaLLM against existing reports generated within a large academic health system using a variety of infection related measures that are reported to CMS. This proposal seeks to revolutionize healthcare QI by replacing the traditionally manual, resource-intensive abstraction process with a real-time, AI-driven solution. The successful implementation of this project could lead to enhanced patient outcomes through timely insights into quality performance, substantial reductions in healthcare costs, and the establishment of a more agile and responsive learning healthcare system.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $1,143,788 )
2026	2026	CLAIRYON, INC.	9500 GILMAN DRIVE	LA JOLLA	CA	92093	SAN DIEGO	USA	Medical Library Assistance	000	2	9/1/2026	EXTENSION WITH OR WITHOUT FUNDS	$1,143,788
														Subtotal = $1,143,788

Issue Date FY: 2025 ( Subtotal = $410,924 )
2025	2025	CLAIRYON, INC.	9500 GILMAN DRIVE	LA JOLLA	CA	92093	SAN DIEGO	USA	Medical Library Assistance	000	1	8/22/2025	NEW	$410,924
														Subtotal = $410,924

Grand Total All Awards = $1,554,712

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Automating Quality to Accelerate Transformational Improvements in Care (AQUATIC)

Award Number: R44LM014847

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/01/2025

PERIOD OF PERFORMANCE END DATE: 07/31/2028

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