SBIR/STTR Research Award

Multi-Institutional Implementation of Quality Decisions: a Clinical Decision Support Analytics Tool to Drive Outcomes

Award identifier f1d1446db01563958c3c8e8d1675d60c7523f4f2d77eb45ba67d81efb2482933Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,730,749

Program and phase

STTR · Phase II

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
PHRASE HEALTH, INC.
Proposal award date
2021-08-13
Contract end date
2023-07-31
UEI
FTRBGK81LY49
Solicitation number
PA19-270
Topic code
NLM

Research abstract

Project Summary/Abstract Phrase Health is a clinical decision support (CDS) analytics company that empowers health systems to deliver high value clinical care through data-driven improvements of CDS. CDS enhances health‐related decisions and actions with pertinent, organized clinical knowledge, and patient information. For example, physicians may have trouble remembering to order all guideline-recommended care for sepsis. CDS delivered via an order set in the electronic health record (EHR) can simplify this process and reduce mortality by bundling the recommended diagnostic and therapeutic orders together. However, CDS may fail to improve outcomes because: (1) the CDS tool is underutilized; (2) the user may not follow the recommended action from the CDS; (3) the recommended action may not lead to the appropriate evidence-based practice (EBP); and/or (4) the EBP may not translate to the expected outcome in a novel population. Healthcare organizations need an efficient, rigorous, and scalable process evaluation method to diagnose when and why CDS is not leading to the intended improvements. In Phase 1, our team demonstrated the technical feasibility and usability of a new software product, Quality Decisions, that guides quality improvement (QI) advocates of all experience levels to (1) rigorously evaluate the impact of CDS on clinical outcomes and (2) convert data-driven insights into action. In this Phase 2 proposal, we will use the RE-AIM framework to evaluate implementation of Quality Decisions at three diverse health systems (Children’s Healthcare of Atlanta, Children’s Hospital of Philadelphia, and The University of Vermont Health Network). In Aim 1 of this proposal, we will evaluate the implementation effectiveness of Quality Decisions. Our primary outcome will be how often the software leads to (1) new QI or CDS intervention(s), (2) increased confidence in CDS effectiveness, or (3) changes in cohort or measure definitions. Using mixed methods including surveys, log data, and focus groups, we will evaluate implementation efficacy, adoption, and fidelity. We will also assess implementation barriers and facilitators using the Consolidated Framework for Implementation Research. In Aim 2, we will determine the customer resources required to implement Quality Decisions at scale. In a pilot phase, each health system will implement the software for a limited number of CPGs and collect hours of work required to get the software up and running. In an expansion phase, we will estimate the number of institutional CPGs that could feasibly be incorporated into the software and the number actually built in one year. At the end of this project, we will have collected the primary data required to commercialize our software to potential customers including (1) a description of the customer resource requirements to use the software across CPGs in a health system and (2) implementation outcomes demonstrating that users use the software frequently as intended and gain meaningful insights. These data will demonstrate value for future cust omers and investors, allowing us accelerate the translation of knowledge into better health outcomes.Project Narrative Phrase Health is a clinical decision support (CDS) analytics company that empowers health systems to efficiently incorporate evidence into high value clinical care through incremental, data-driven improvements of CDS. In Phase 1, we developed a CDS process evaluation tool (Quality Decisions) that helps quality improvement advocates determine if CDS is leading to improved outcomes and convert insights into action. We are evaluating the implementation effectiveness of Quality Decisions at 3 diverse health systems.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

4 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $4,926,402. 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

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.