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Operative Time Accuracy in the Era of Electronic Health Records: Addressing the Elephant in the Room.
Elsaqa, Mohamed; El Tayeb, Marawan M; Yano, Stephanie; Papaconstantinou, Harry T.
Afiliação
  • Elsaqa M; Baylor Scott & White Medical Center, Temple, Texas and Alexandria University Faculty of Medicine, Alexandria, Egypt.
  • El Tayeb MM; Baylor Scott & White Health, Temple, Texas.
  • Yano S; Baylor Scott & White Health, Temple, Texas.
  • Papaconstantinou HT; Baylor Scott & White Health, Temple, Texas.
J Healthc Manag ; 69(2): 132-139, 2024.
Article em En | MEDLINE | ID: mdl-38467026
ABSTRACT
GOAL Accurate prediction of operating room (OR) time is critical for effective utilization of resources, optimal staffing, and reduced costs. Currently, electronic health record (EHR) systems aid OR scheduling by predicting OR time for a specific surgeon and operation. On many occasions, the predicted OR time is subject to manipulation by surgeons during scheduling. We aimed to address the use of the EHR for OR scheduling and the impact of manipulations on OR time accuracy.

METHODS:

Between April and August 2022, a pilot study was performed in our tertiary center where surgeons in multiple surgical specialties were encouraged toward nonmanipulation for predicted OR time during scheduling. The OR time accuracy within 5 months before trial (Group 1) and within the trial period (Group 2) were compared. Accurate cases were defined as cases with total length (wheels-in to wheels-out) within ±30 min or ±20% of the scheduled duration if the scheduled time is ≥ or <150 min, respectively. The study included single and multiple Current Procedural Terminology code procedures, while procedures involving multiple surgical specialties (combo cases) were excluded. PRINCIPAL

FINDINGS:

The study included a total of 8,821 operations, 4,243 (Group 1) and 4,578 (Group 2), (p < .001). The percentage of manipulation dropped from 19.8% (Group 1) to 7.6% (Group 2), (p < .001), while scheduling accuracy rose from 41.7% (Group 1) to 47.9% (Group 2), (p = .0001) with a significant reduction of underscheduling percentage (38.7% vs. 31.7%, p = .0001) and without a significant difference in the percentage of overscheduled cases (15% vs. 17%, p = .22). Inaccurate OR hours were reduced by 18% during the trial period (2,383 hr vs. 1,954 hr). PRACTICAL APPLICATIONS The utilization of EHR systems for predicting OR time and reducing manipulation by surgeons helps improve OR scheduling accuracy and utilization of OR resources.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Admissão e Escalonamento de Pessoal / Registros Eletrônicos de Saúde Limite: Humans Idioma: En Revista: J Healthc Manag Assunto da revista: HOSPITAIS / SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Egito

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Admissão e Escalonamento de Pessoal / Registros Eletrônicos de Saúde Limite: Humans Idioma: En Revista: J Healthc Manag Assunto da revista: HOSPITAIS / SERVICOS DE SAUDE Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Egito