Quality Initiative Using Theory of Change and Visual Analytics to Improve Controlled Substance Documentation Discrepancies in the Operating Room

Jenny E. Dolan, Hannah Lonsdale, Luis M. Ahumada, Amish Patel, Jibin Samuel, Ali Jalali, Jacquelin Peck, Joann C. Derosa, Mohamed Rehman, Anna M. Varughese, Allison M. Fernandez

Research output: Contribution to journalArticle

Abstract

Background ?Discrepancies in controlled substance documentation are common and can lead to legal and regulatory repercussions. We introduced a visual analytics dashboard to assist in a quality improvement project to reduce the discrepancies in controlled substance documentation in the operating room (OR) of our free-standing pediatric hospital. Methods ?Visual analytics were applied to collected documentation discrepancy audit data and were used to track progress of the project, to motivate the OR team, and in analyzing where further improvements could be made. This was part of a seven-step improvement plan based on the Theory of Change with a logic model framework approach. Results ?The introduction of the visual analytics dashboard contributed a 24% improvement in controlled substance documentation discrepancy. The project overall reduced documentation errors by 71% over the studied period. Conclusion ?We used visual analytics to simultaneously analyze, monitor, and interpret vast amounts of data and present them in an appealing format. In conjunction with quality-improvement principles, this led to a significant improvement in controlled substance documentation discrepancies.

Original languageEnglish (US)
Pages (from-to)543-551
Number of pages9
JournalApplied clinical informatics
Volume10
Issue number3
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

Keywords

  • anesthesia
  • clinical informatics
  • medication documentation discrepancies
  • quality improvement
  • visual analytics

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Health Information Management

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