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Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention

Srijesa Khasnabish1, Zoe Burns1, Madeline Couch1

  • 1Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Journal of the American Medical Informatics Association : JAMIA
|November 8, 2019
PubMed
Summary
This summary is machine-generated.

Developing effective data visualization reports for fall prevention programs significantly improved usability. Enhancing reports based on nurse feedback and data visualization principles led to better adherence monitoring in clinical settings.

Keywords:
data visualizationevidence-basedfall preventionhealth-ITUESusability

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Area of Science:

  • Implementation Science
  • Health Informatics
  • Data Visualization

Background:

  • Effective monitoring of evidence-based programs is crucial for patient safety.
  • Data visualization (DV) principles can enhance the clarity and utility of clinical reports.
  • Nurse feedback is vital for optimizing healthcare tools.

Purpose of the Study:

  • To develop and evaluate an effective data visualization report for tracking adherence to a fall prevention program.
  • To improve the usability of clinical reports by incorporating DV principles and end-user feedback.

Main Methods:

  • Applied data visualization literature and nurse interviews to revise an initial report.
  • Assessed report usability using a customized Health Information Technology Usability Evaluation Scale (Health-ITUES).
  • Compared usability scores of the original and revised reports using statistical analysis (Mann Whitney U Test).

Main Results:

  • The revised report demonstrated significantly higher usability scores (mean 4.29) compared to the original report (mean 3.86).
  • Nurse feedback highlighted the need for simplified and meaningful data presentation.
  • The usability improvements were statistically significant (P < 0.001).

Conclusions:

  • Incorporating data visualization best practices and clinician feedback enhances report usability.
  • Optimized reports can improve adherence monitoring for evidence-based fall prevention programs.
  • Lessons learned can guide the development of effective clinical reports in implementation science.