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Study to assess the impact of analytics software on operating room controlled substance management and drug diversion.
Carollo, Dominic S; Mullet, Andrew P; Hays, Amanda J; Fitzgibbons, Stacey A; Nelkin, Heather D; Raymond, Alexandre P.
Affiliation
  • Carollo DS; Ochsner Clinic Foundation, New Orleans, LA, and The University of Queensland Medical School-Ochsner Clinical School, New Orleans, LA, USA.
  • Mullet AP; Ochsner Clinic Foundation, New Orleans, LA, USA.
  • Hays AJ; Becton, Dickinson and Company, San Diego, CA, USA.
  • Fitzgibbons SA; Becton, Dickinson and Company, San Diego, CA, USA.
  • Nelkin HD; Becton, Dickinson and Company, San Diego, CA, USA.
  • Raymond AP; Ochsner Clinic Foundation, New Orleans, LA, USA.
Am J Health Syst Pharm ; 81(11): e322-e328, 2024 May 24.
Article in En | MEDLINE | ID: mdl-38456350
ABSTRACT

PURPOSE:

This study investigated the impact of an advanced analytics software solution in the operating room (OR) on tracking and evaluating controlled substance discrepancies. The authors hypothesized that the software would increase identification of these discrepancies and improve the efficiency of the preexisting manual process.

METHODS:

In this evaluation comparing data from before to after implementation of the software, data were collected using the preexisting manual process for 50 days before implementation, followed by a 25-day period for acclimation to the new software, and ending with a 49-day postimplementation review period. Data collected included the total number of medication discrepancies, time required for discrepancy review and reconciliation by an OR analyst, types of discrepancies, and number of discrepancies leading to provider audits.

RESULTS:

Before implementation of the analytics software, there were 7,635 OR cases with a total of 674 charting discrepancies (8.83 discrepancies per 100 total OR cases) discovered across 439 OR cases. After implementation, there were 7,454 OR cases with a total of 930 charting discrepancies (12.48 discrepancies per 100 total OR cases; P < 0.0001) discovered across 680 OR cases. While discrepancies increased by 38%, the median review time for the OR analyst per case decreased (P < 0.0001) and the percentage of incidents resolved by the OR analyst increased by 14% while the number of cases requiring additional documentation by the provider decreased by 10%.

CONCLUSION:

Implementation of advanced analytics software in the OR significantly increased the number of controlled substance charting discrepancies identified compared to the preimplementation review process while increasing the efficiency of the OR analyst.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Operating Rooms / Software / Controlled Substances / Prescription Drug Diversion Limits: Humans Language: En Journal: Am J Health Syst Pharm Journal subject: FARMACIA / HOSPITAIS Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Operating Rooms / Software / Controlled Substances / Prescription Drug Diversion Limits: Humans Language: En Journal: Am J Health Syst Pharm Journal subject: FARMACIA / HOSPITAIS Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom