{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T08:38:29Z","timestamp":1769243909090,"version":"3.49.0"},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2019,5]]},"abstract":"<jats:p>\n            Background\u2003Discrepancies 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.<\/jats:p><jats:p>\n            Methods\u2003Visual 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.<\/jats:p><jats:p>\n            Results\u2003The 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.<\/jats:p><jats:p>\n            Conclusion\u2003We 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.<\/jats:p>","DOI":"10.1055\/s-0039-1693688","type":"journal-article","created":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T22:55:29Z","timestamp":1564613729000},"page":"543-551","source":"Crossref","is-referenced-by-count":15,"title":["Quality Initiative Using Theory of Change and Visual Analytics to Improve Controlled Substance Documentation Discrepancies in the Operating Room"],"prefix":"10.1055","volume":"10","author":[{"given":"Jenny E.","family":"Dolan","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hannah","family":"Lonsdale","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis M.","family":"Ahumada","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amish","family":"Patel","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jibin","family":"Samuel","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Jalali","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacquelin","family":"Peck","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mount Sinai Medical Center of Florida, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JoAnn C.","family":"DeRosa","sequence":"additional","affiliation":[{"name":"Clinical and Translational Research Organization, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Rehman","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna M.","family":"Varughese","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Allison M.","family":"Fernandez","sequence":"additional","affiliation":[{"name":"Department of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2019,7,31]]},"container-title":["Applied Clinical Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0039-1693688.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,31]],"date-time":"2019-07-31T22:55:29Z","timestamp":1564613729000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0039-1693688"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2019,5,29]]},"published-print":{"date-parts":[[2019,5]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0039-1693688","relation":{},"ISSN":["1869-0327"],"issn-type":[{"value":"1869-0327","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}