Visualizing Central Line-Associated Blood Stream Infection (CLABSI) Outcome Data to Health Care Consumers and Practitioners for Decision Making – Evaluation Study

Authors

  • Yair Rajwan Visual Science Informatics

DOI:

https://doi.org/10.5210/ojphi.v5i2.4364

Abstract

The purpose of this study was to evaluate information visualization of publicly-reported central line-associated blood stream infection (CLABSI) outcome data for decision making by diverse target audiences—health care consumers and practitioners. We describe the challenges in publicly reporting of healthcare-associated infections (HAIs) data and the interpretation of an evaluation metric. Several options for visualization of CLABSI data were designed and evaluated employing exploratory working group, two confirmatory focus groups’ observations, and experts’ committee validation of the final designs. Survey-data collection and evaluation criteria results, collected from the two focus groups, are presented and are used to develop the final recommendations for how to visualize publicly report CLABSI data from Maryland acute care hospitals. Both health care consumer and practitioner’s perspectives are highlighted and categorized based on the visualizations’ dimensions framework. Finally, a recommended format for visualizing CLABSI outcome data based on the evaluation study is summarized.

Author Biography

Yair Rajwan, Visual Science Informatics

Dr. Yair G. Rajwan is the director of analytics visualization research and development at Visual Science Informatics. He was a postdoctoral research Fellow of the National Library of Medicine (2011) in the Division of Health Sciences Informatics at the Johns Hopkins University School of Medicine. He received his MSc (1995) and DSc (2000) in computer science from the George Washington University School of Engineering and Applied Science in Washington, DC. He received his MSc (2012) in Health Sciences Informatics from the Johns Hopkins University School of Medicine in Baltimore, MD. Dr. Rajwan provides ?big data? analytics capabilities and information visualization techniques enabling better engagement effectiveness, better decision-making collaboration, and better insights perspective on outcomes and impact. He use a variety of proven processes and easy-to-use tools helping understand your content competitive advantage, craft memorable visual storytelling, run continues improvement of visual communication outreach campaigns, and evaluate your visual intervention on outcomes.

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Published

2013-06-18

How to Cite

Rajwan, Y. (2013). Visualizing Central Line-Associated Blood Stream Infection (CLABSI) Outcome Data to Health Care Consumers and Practitioners for Decision Making – Evaluation Study. Online Journal of Public Health Informatics, 5(2). https://doi.org/10.5210/ojphi.v5i2.4364

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Section

Original Articles