Detailed taxonomy and coding of data can help guide organizational leaders and healthcare providers at all levels to identify key gaps in knowledge, skill, and protocols that may contribute to unfavorable outcomes.

In this study, Candello’s Moira Quinn and Penny Greenberg explore how the Candello database is assisting organizations in making data-driven decisions to improve their patient safety programs.

 

Medical errors and improper care of patients are estimated to contribute to as many as 250,000 deaths each year (Anderson & Abrahamson, 2017). In order to improve patient safety and reduce vulnerabilities across healthcare organizations, it is critical to gain insight into how, why, and where these incidents occur. An examination of available data can help guide organizational leaders and healthcare providers at all levels to identify key gaps in knowledge, skill, and protocols that may contribute to unfavorable outcomes.

This study highlights the variety of ways in which Candello’s malpractice database can be utilized to examine patient safety issues and improve outcomes while minimizing risk. These analyses can be applied to a wide range of focus areas, from specific provider specialties, to patient type, to care settings and more. Review of the data provides insights that can be used to generate guidelines and recommendations for changes.

Read the full text of this study published in the peer-review journal, Journal of Healthcare Management Standards.

 

datasafety 420x280How Data Can Drive Initiatives to Improve Patient Safety and Reduce Risk.

Quinn, M. & Greenberg, P. (2022). How Data Can Drive Initiatives to Improve Patient Safety and Reduce Risk. Journal of Healthcare Management Standards. (JHMS), 2(1), 1-12.

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