Jenny E Dolan1, Hannah Lonsdale1, Luis M Ahumada2, Amish Patel1, Jibin Samuel1, Ali Jalali2, Jacquelin Peck3, JoAnn C DeRosa4, Mohamed Rehman1, Anna M Varughese1, Allison M Fernandez1. 1. Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States. 2. Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States. 3. Department of Anesthesiology, Mount Sinai Medical Center of Florida, Florida, United States. 4. Clinical and Translational Research Organization, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
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. Georg Thieme Verlag KG Stuttgart · New York.
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. Georg Thieme Verlag KG Stuttgart · New York.
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