Implementation of radio-frequency identification technology to optimize medication inventory management in the intraoperative setting.

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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 However, restocking errors were reduced by 64.7% and outdated and missing medications eliminated.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.