Adaptation and Pilot Implementation of ePNa Clinical Decision Support for Utah Urgent Care Clinics

Conditions

• Pneumonia

Eligibility Criteria

Sex

ALL

Age

12 Years - N/A

Healthy Volunteers

Accepted

Interventions

• Physician Survey — OTHER
  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.
• ePNa-CheXED — DEVICE
  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).

Study Details

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.

Key Dates

Start date

Nov 12, 2020

Status verified

Aug 2024

Primary completion

Sep 30, 2024

Completion

Sep 30, 2024

Study Design

Enrollment

4,000 participants (estimated)

Allocation

NON_RANDOMIZED

Intervention model

PARALLEL

Primary purpose

HEALTH_SERVICES_RESEARCH

Arms

• Other: Physician Survey
  A modified version of a previously validated REDCap questionnaire will be administered to Instacare clinicians in the cluster where ePNa-CheXED was deployed via email at 6 months after ePNa-CheXED implementation. Our questionnaire includes questions on respondent demographics and Likert-style questions about respondents' 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
• Other: Adapt ePNa-CheXED for InstaCares
  Adapt ePNa-CheXED for Instacares and after in silico testing, pilot it among "super user" clinicians during Instacare shifts and assess its usability. ePNa needs adaptation for more limited patient data available in Instacare clinics, calibration of severity measures for lower observed mortality, and a chest imaging prompt in patients with pneumonia signs and symptoms. 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).

Primary Outcome Measure

ePNa utilization and impact on the UCC clinical environment [ Time Frame: through study completion, year 3 of the study ]

Central Contacts

• Valerie Aston
  801-507-4606
  [email protected]
• Carlos Barbagelata, MS
  801-507-4607
  [email protected]

Locations (12)

Find similar trials in American Fork, UT

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