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Updated: May 26, 2026

Workflow and Framework for Collecting and Implementing Point-of-Care Ultrasound Data in the Management of Heart Failure Patients

Workflow and Framework for Collecting and Implementing Point-of-Care Ultrasound Data in the Management of Heart Failure Patients

Published on: July 12, 2024

Development of a workflow integration survey (WIS) for implementing computerized clinical decision support.

Mindy Flanagan¹, Nicole Arbuckle, Jason J Saleem

¹Indiana University (IU) Center for Health Services & Outcomes Research, Regenstrief Institute, Inc., Indianapolis, IN, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|December 24, 2011

Summary

This study developed and validated a new survey to measure how well computerized clinical decision support (CDS) integrates into clinical workflows. This tool helps assess CDS adoption and usage by evaluating key workflow integration factors.

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Area of Science:

Health Informatics
Human-Computer Interaction
Sociotechnical Systems Theory

Background:

Successful integration of computerized clinical decision support (CDS) into clinical workflows is crucial for its adoption and effective use.
Existing metrics for assessing the workflow integration of CDS are not well-established, hindering evaluation and improvement efforts.

Purpose of the Study:

To develop and validate a survey instrument for assessing the degree of workflow integration of computerized clinical decision support (CDS).
To provide a standardized tool for researchers and practitioners to measure CDS workflow integration.

Main Methods:

Qualitative data collection through direct observation, interviews, and focus groups across four clinical sites.
Thematic analysis of qualitative data guided by sociotechnical systems theory to identify key workflow integration themes.
Development and validation of a 12-item survey scale based on identified themes, including a simulation study with healthcare providers.

Main Results:

Consistent themes related to workflow integration, including navigation, functionality, usability, and workload, were identified across study sites.
A brief, 12-item scale for assessing CDS workflow integration was successfully developed and validated.
The validated survey provides a novel tool for measuring CDS integration into clinical practice.

Conclusions:

The developed survey is a valuable and potentially the first tool specifically designed to measure the workflow integration of computerized clinical decision support (CDS).
This validated instrument can aid in evaluating and optimizing the integration of CDS systems to enhance their usability and impact in healthcare settings.