Implementation of radio-frequency identification technology to optimize medication inventory management in the intraoperative setting.
Purpose Manual restocking and tracking of noncontrolled medications in anesthesia workstations (AWSs) is complicated and time intensive, provides several opportunities for error, and lacks perpetual inventory transparency regarding expiration and lot number. This pre-post study assessed the impact o...
| Publicado en: | American Journal of Health-System Pharmacy Vol. 80; no. 6; pp. 384 - 390 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
3/15/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162272297&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162272297 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10792082 1X3 jtl: American Journal of Health-System Pharmacy issn: 10792082 maglogo: N pubinfo: dt: 3/15/2023 vid: 80 iid: 6 pid: 622 pub: Oxford University Press / USA artinfo: ui: 162272297 162272297 162272297 10.1093/ajhp/zxac367 162272297 ppf: 384 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Implementation of radio-frequency identification technology to optimize medication inventory management in the intraoperative setting. aug: au: Wilke, Carlie Bowden, Ashley Sanders, Tom Nickman, Nancy A Ashmead, Payson affil: University of Wisconsin Health Pharmacy Services , Madison, WI , USA sug: subj: Intraoperative Care Radio Frequency Identification Utilization Technology Inventories Pharmacy Service Human Pretest-Posttest Design Descriptive Statistics Data Analysis Software Workflow Patient Safety Costs and Cost Analysis ab: Purpose Manual restocking and tracking of noncontrolled medications in anesthesia workstations (AWSs) is complicated and time intensive, provides several opportunities for error, and lacks perpetual inventory transparency regarding expiration and lot number. This pre-post study assessed the impact of radio-frequency identification (RFID) technology on restocking of noncontrolled medications in AWSs in relation to workflow, improved patient safety due to reduced restocking errors, and restocking accuracy and efficiency, as well as the estimated costs of on-site medication RFID tagging versus purchase of pretagged products. Summary Pre- and postimplementation process steps were mapped. Randomized AWS tray audits were conducted to assess patient safety, and AWS tray restocking efficiency was measured through stopwatch studies. Time and costs associated with purchase of manufacturer RFID tagged medications versus manually tagging medications on-site were estimated. Pre-post comparisons were completed using descriptive statistics. Prior to implementation, manual AWS restocking took a mean (SD) of 37.9 (24.7) seconds (range, 4.6-135.9 seconds), compared to 145.9 (50.6) seconds (range, 43.4-314.3 seconds) after implementation. The automated workflow took technicians an average of 108 seconds (1.8 minutes) longer than the baseline time. However, restocking errors were reduced by 64.7% and outdated and missing medications eliminated. Manually applying tags to packages containing 25 vials took a mean (SD) of 174.8 (19.8) seconds (range, 131-218 seconds) for smaller vials, compared to 128.1 (21.6) seconds (range, 102-166 seconds) for larger vials. Manual tag application was also more expensive than purchasing of pretagged vials. Conclusion Automated RFID technology for AWS restocking decreased restocking errors but increased the length of time to complete the restocking process. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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