Adaptation and Pilot Implementation of ePNa Clinical Decision Support for Utah Urgent Care Clinics
NCT04606849 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 4000
Last updated 2024-08-26
Summary
We plan to adapt an innovative, validated emergency department (ED) CDS tool based on consensus guidelines for pneumonia care (ePNa) to function in urgent care clinics (Instacares at Intermountain) and combine it seamlessly with Stanford's CheXED artificial intelligence model using an interoperable platform currently under development by Care Transformation Information Services at Intermountain. We will then deploy it to one of two groups of Instacares (randomly selected) using the CFIR framework for Implementation Science best practice.
Conditions
Interventions
- OTHER
-
Physician Survey
Our questionnaire includes questions on respondent demographics and Likert-style questions about respondent experiences with ePNa. We will validate our modified questionnaire by calculating component loadings and Cronbach Alphas (i.e., internal consistency) of Likert questions loading onto the same components.
- DEVICE
-
ePNa-CheXED
ePNa-CheXED will incorporate Stanford University's artificial intelligence CheXED model to provide electronic classification of chest images in \<1 second for elements of pneumonia diagnosis and treatment (radiographic pneumonia, single vs multiple lobes, and pleural effusion).
Sponsors & Collaborators
- collaborator OTHER
-
Intermountain Health Care, Inc.
lead OTHER
Principal Investigators
-
Nathan Dean, MD · Intermountain Health Care, Inc.
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 12 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-11-12
- Primary Completion
- 2024-09-30
- Completion
- 2024-09-30
Countries
- United States
Study Locations
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