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

doi:10.1055/s-0039-1693688

Applied Clinical Informatics, Inhaltsverzeichnis

Appl Clin Inform 2019; 10(03): 543-551
DOI: 10.1055/s-0039-1693688

Special Topic: Visual Analytics in Healthcare

Georg Thieme Verlag KG Stuttgart · New York

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

Jenny E. Dolan

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Hannah Lonsdale

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Luis M. Ahumada

²Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Amish Patel

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Jibin Samuel

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Ali Jalali

²Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Jacquelin Peck

³Department of Anesthesiology, Mount Sinai Medical Center of Florida, Florida, United States

,

JoAnn C. DeRosa

⁴Clinical and Translational Research Organization, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Mohamed Rehman

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Anna M. Varughese

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

,

Allison M. Fernandez

¹Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States

› Institutsangaben

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.

Keywords

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

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