{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T07:17:54Z","timestamp":1770275874099,"version":"3.49.0"},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:p>\n            Background\u2003Hospitals use antibiograms to guide optimal empiric antibiotic therapy, reduce inappropriate antibiotic usage, and identify areas requiring intervention by antimicrobial stewardship programs. Creating a hospital antibiogram is a time-consuming manual process that is typically performed annually.<\/jats:p><jats:p>\n            Objective\u2003We aimed to apply visual analytics software to electronic health record (EHR) data to build an automated, electronic antibiogram (\u201ce-antibiogram\u201d) that adheres to national guidelines and contains filters for patient characteristics, thereby providing access to detailed, clinically relevant, and up-to-date antibiotic susceptibility data.<\/jats:p><jats:p>\n            Methods\u2003We used visual analytics software to develop a secure, EHR-linked, condition- and patient-specific e-antibiogram that supplies susceptibility maps for organisms and antibiotics in a comprehensive report that is updated on a monthly basis. Antimicrobial susceptibility data were grouped into nine clinical scenarios according to the specimen source, hospital unit, and infection type. We implemented the e-antibiogram within the EHR system at Children's Hospital of Philadelphia, a tertiary pediatric hospital and analyzed e-antibiogram access sessions from March 2016 to March 2017.<\/jats:p><jats:p>\n            Results\u2003The e-antibiogram was implemented in the EHR with over 6,000 inpatient, 4,500 outpatient, and 3,900 emergency department isolates. The e-antibiogram provides access to rolling 12-month pathogen and susceptibility data that is updated on a monthly basis. E-antibiogram access sessions increased from an average of 261 sessions per month during the first 3 months of the study to 345 sessions per month during the final 3 months.<\/jats:p><jats:p>\n            Conclusion\u2003An e-antibiogram that was built and is updated using EHR data and adheres to national guidelines is a feasible replacement for an annual, static, manually compiled antibiogram. Future research will examine the impact of the e-antibiogram on antibiotic prescribing patterns.<\/jats:p>","DOI":"10.1055\/s-0037-1615787","type":"journal-article","created":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T23:43:52Z","timestamp":1516232632000},"page":"037-045","source":"Crossref","is-referenced-by-count":32,"title":["Design and Implementation of a Visual Analytics Electronic Antibiogram within an Electronic Health Record System at a Tertiary Pediatric Hospital"],"prefix":"10.1055","volume":"09","author":[{"given":"Allan","family":"Simpao","sequence":"additional","affiliation":[]},{"given":"Luis","family":"Ahumada","sequence":"additional","affiliation":[]},{"given":"Beatriz","family":"Larru Martinez","sequence":"additional","affiliation":[]},{"given":"Ana","family":"Cardenas","sequence":"additional","affiliation":[]},{"given":"Talene","family":"Metjian","sequence":"additional","affiliation":[]},{"given":"Kaede","family":"Sullivan","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"G\u00e1lvez","sequence":"additional","affiliation":[]},{"given":"Bimal","family":"Desai","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Rehman","sequence":"additional","affiliation":[]},{"given":"Jeffrey","family":"Gerber","sequence":"additional","affiliation":[]}],"member":"194","published-online":{"date-parts":[[2018,1,17]]},"container-title":["Applied Clinical Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0037-1615787.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T19:45:28Z","timestamp":1557171928000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0037-1615787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":0,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2018,1,3]]},"published-print":{"date-parts":[[2018,1]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0037-1615787","relation":{},"ISSN":["1869-0327"],"issn-type":[{"value":"1869-0327","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}