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Related Experiment Video

Updated: Sep 20, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Dashboard Design to Identify and Balance Competing Risk of Multiple Hospital-Acquired Conditions.

Mary Beth Flynn Makic1, Kathleen R Stevens2, R Mark Gritz3

  • 1University of Colorado, College of Nursing, Aurora, Colorado, United States.

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|June 8, 2022
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Summary

This study developed a dashboard to help clinicians manage competing risks of hospital-acquired conditions (HACs), like CAUTIs and HAPIs, by visualizing potential trade-offs in prevention strategies.

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Area of Science:

  • Healthcare quality improvement
  • Patient safety research
  • Clinical decision support systems

Background:

  • Hospital-acquired conditions (HACs) are a significant patient safety concern.
  • Current prevention strategies often address single HACs, potentially overlooking competing risks.
  • Common HACs include catheter-associated urinary tract infections (CAUTIs), hospital-acquired pressure injury (HAPI), and falls.

Purpose of the Study:

  • To design an empirical framework for identifying, assessing, and quantifying risks of multiple HACs (MHACs).
  • To evaluate a dashboard prototype for managing competing risks associated with single-HAC interventions.

Main Methods:

  • Developed a predictive model using a multisite database to quantify competing HAC risks.
  • Designed and qualitatively tested a high-fidelity dashboard prototype (MHAC Competing Risk Dashboard).
  • Employed participatory design with think-aloud methods and interviews with 25 clinicians.

Main Results:

  • Clinicians preferred a visual dashboard with color-coded gauges (green, yellow, red) to depict MHAC risk.
  • The dashboard illustrated competing risks when removing indwelling urinary catheters to prevent CAUTI, considering impacts on HAPI and falls.
  • Clinicians found the dashboard useful for guiding decisions but did not want mandatory EHR alerts.

Conclusions:

  • A visual dashboard can enhance clinical decision-making for managing MHACs.
  • Clinicians favor intuitive visual cues over mandatory alerts for integrated tools.
  • Further research is needed to refine MHAC understanding and decision-support tools.