{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:21:22Z","timestamp":1759335682242,"version":"3.37.3"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2020,4,26]],"date-time":"2020-04-26T00:00:00Z","timestamp":1587859200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Johns Hopkins Health System"},{"DOI":"10.13039\/100000030","name":"Centers for Disease Control and Prevention","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000030","name":"CDC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000133","name":"Agency for Healthcare Research and Quality","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000133","name":"AHRQ","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000030","name":"CDC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000133","name":"AHRQ","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica of Chile"},{"DOI":"10.13039\/100000030","name":"CDC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation, National Institutes of Health"},{"DOI":"10.13039\/100000030","name":"CDC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000133","name":"AHRQ","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>Timely availability of intravenous infusion pumps is critical for high-quality care delivery. Pumps are shared among hospital units, often without central management of their distribution. This study seeks to characterize unit-to-unit pump sharing and its impact on shortages, and to evaluate a system-control tool that balances inventory across all care areas, enabling increased availability of pumps.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>A retrospective study of 3832 pumps moving in a network of 5292 radiofrequency and infrared sensors from January to November 2017 at The Johns Hopkins Hospital in Baltimore, Maryland. We used network analysis to determine whether pump inventory in one unit was associated with inventory fluctuations in others. We used a quasi-experimental design and segmented regressions to evaluate the effect of the system-control tool on enabling safe inventory levels in all care areas.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We found 93 care areas connected through 67,111 pump transactions and 4 discernible clusters of pump sharing. Up to 17% (95% confidence interval, 7%-27%) of a unit\u2019s pump inventory was explained by the inventory of other units within its cluster. The network analysis supported design and deployment of a hospital-wide inventory balancing system, which resulted in a 44% (95% confidence interval, 36%-53%) increase in the number of care areas above safe inventory levels.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Network phenomena are essential inputs to hospital equipment fleet management. Consequently, benefits of improved inventory management in strategic unit(s) are capable of spreading safer inventory levels throughout the hospital.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa033","type":"journal-article","created":{"date-parts":[[2020,3,11]],"date-time":"2020-03-11T12:37:25Z","timestamp":1583930245000},"page":"884-892","source":"Crossref","is-referenced-by-count":8,"title":["Where is my infusion pump? Harnessing network dynamics for improved hospital equipment fleet management"],"prefix":"10.1093","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3236-2471","authenticated-orcid":false,"given":"Diego A","family":"Martinez","sequence":"first","affiliation":[{"name":"Department of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, USA"},{"name":"Department of Health Sciences Informatics, Johns Hopkins University, Baltimore, Maryland, USA"},{"name":"Department of Operations, Johns Hopkins Health System, Baltimore, Maryland, USA"}]},{"given":"Jiarui","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Operations, Johns Hopkins Health System, Baltimore, Maryland, USA"},{"name":"Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, USA"}]},{"given":"Jimi B","family":"Oke","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA"},{"name":"Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Massachusetts, USA"}]},{"given":"Andrew S","family":"Jarrell","sequence":"additional","affiliation":[{"name":"Department of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, USA"}]},{"given":"Felipe","family":"Feijoo","sequence":"additional","affiliation":[{"name":"Escuela de Ingenier\u00eda Industrial, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso, Chile"}]},{"given":"Jeffrey","family":"Appelbaum","sequence":"additional","affiliation":[{"name":"Department of Operations, Johns Hopkins Health System, Baltimore, Maryland, USA"}]},{"given":"Eili","family":"Klein","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, USA"},{"name":"Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA"},{"name":"Center for Disease Dynamics, Economics and Policy, Washington, DC, USA"}]},{"given":"Sean","family":"Barnes","sequence":"additional","affiliation":[{"name":"Department of Decision, Operations and Information Technologies, University of Maryland, College Park, Maryland, USA"}]},{"given":"Scott R","family":"Levin","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, USA"},{"name":"Department of Health Sciences Informatics, Johns Hopkins University, Baltimore, Maryland, USA"}]},{"name":"for the AHRQ Patient Safety Learning Laboratory Program and the CDC MinD Healthcare Program","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2020,4,26]]},"reference":[{"issue":"4","key":"2020110613085341400_ocaa033-B1","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1067\/mem.2001.112253","article-title":"Critical pediatric equipment availability in Canadian hospital emergency 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