Literature DB >> 28597362

A System-Wide Approach to Physician Efficiency and Utilization Rates for Non-Operating Room Anesthesia Sites.

Mitchell H Tsai1,2, Tinh T Huynh3, Max W Breidenstein3, Stephen E O'Donnell3, Jesse M Ehrenfeld4, Richard D Urman5.   

Abstract

There has been little in the development or application of operating room (OR) management metrics to non-operating room anesthesia (NORA) sites. This is in contrast to the well-developed management framework for the OR management. We hypothesized that by adopting the concept of physician efficiency, we could determine the applicability of this clinical productivity benchmark for physicians providing services for NORA cases at a tertiary care center. We conducted a retrospective data analysis of NORA sites at an academic, rural hospital, including both adult and pediatric patients. Using the time stamps from WiseOR® (Palo Alto, CA), we calculated site utilization and physician efficiency for each day. We defined scheduling efficiency (SE) as the number of staffed anesthesiologists divided by the number of staffed sites and stratified the data into three categories (SE < 1, SE = 1, and SE >1). The mean physician efficiency was 0.293 (95% CI, [0.281, 0.305]), and the mean site utilization was 0.328 (95% CI, [0.314, 0.343]). When days were stratified by scheduling efficiency (SE < 1, =1, or >1), we found differences between physician efficiency and site utilization. On days where scheduling efficiency was less than 1, that is, there are more sites than physicians, mean physician efficiency (95% CI, [0.326, 0.402]) was higher than mean site utilization (95% CI, [0.250, 0.296]). We demonstrate that scheduling efficiency vis-à-vis physician efficiency as an OR management metric diverge when anesthesiologists travel between NORA sites. When the opportunity to scale operational efficiencies is limited, increasing scheduling efficiency by incorporating different NORA sites into a "block" allocation on any given day may be the only suitable tactical alternative.

Entities:  

Keywords:  Billable hours; Efficiency; Non-operating room anesthesia; Utilization; scheduling

Mesh:

Year:  2017        PMID: 28597362     DOI: 10.1007/s10916-017-0754-z

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  30 in total

1.  Measurement of individual clinical productivity in an academic anesthesiology department.

Authors:  A E Abouleish; M H Zornow; R S Levy; J Abate; D S Prough
Journal:  Anesthesiology       Date:  2000-12       Impact factor: 7.892

2.  Operating room utilization alone is not an accurate metric for the allocation of operating room block time to individual surgeons with low caseloads.

Authors:  Franklin Dexter; Alex Macario; Rodney D Traub; David A Lubarsky
Journal:  Anesthesiology       Date:  2003-05       Impact factor: 7.892

3.  The impact on revenue of increasing patient volume at surgical suites with relatively high operating room utilization.

Authors:  F Dexter; A Macario; D A Lubarsky
Journal:  Anesth Analg       Date:  2001-05       Impact factor: 5.108

4.  Into the Wilderness?: The Growing Importance of Nonoperating Room Anesthesia Care in the United States.

Authors:  Amy C Lu; Samuel H Wald; Eric C Sun
Journal:  Anesth Analg       Date:  2017-04       Impact factor: 5.108

Review 5.  Practical considerations in the development of a nonoperating room anesthesia practice.

Authors:  Basavana Goudra; Adrian Alvarez; Preet Mohinder Singh
Journal:  Curr Opin Anaesthesiol       Date:  2016-08       Impact factor: 2.706

6.  Scheduling surgical cases into overflow block time- computer simulation of the effects of scheduling strategies on operating room labor costs.

Authors:  F Dexter; A Macario; L O'Neill
Journal:  Anesth Analg       Date:  2000-04       Impact factor: 5.108

7.  Stabilization of inpatient bed occupancy through control of admissions.

Authors:  J P Young
Journal:  Hospitals       Date:  1965-10-01

8.  An operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patients' preferences for surgical waiting time.

Authors:  F Dexter; A Macario; R D Traub; M Hopwood; D A Lubarsky
Journal:  Anesth Analg       Date:  1999-07       Impact factor: 5.108

9.  Growth of Nonoperating Room Anesthesia Care in the United States: A Contemporary Trends Analysis.

Authors:  Alexander Nagrebetsky; Rodney A Gabriel; Richard P Dutton; Richard D Urman
Journal:  Anesth Analg       Date:  2017-04       Impact factor: 5.108

10.  Changing allocations of operating room time from a system based on historical utilization to one where the aim is to schedule as many surgical cases as possible.

Authors:  Franklin Dexter; Alex Macario
Journal:  Anesth Analg       Date:  2002-05       Impact factor: 5.108

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  5 in total

1.  After-hour Versus Daytime Shifts in Non-Operating Room Anesthesia Environments: National Distribution of Case Volume, Patient Characteristics, and Procedures.

Authors:  Rodney A Gabriel; Brittany N Burton; Mitchell H Tsai; Jesse M Ehrenfeld; Richard P Dutton; Richard D Urman
Journal:  J Med Syst       Date:  2017-08-03       Impact factor: 4.460

2.  Analysis to Establish Differences in Efficiency Metrics Between Operating Room and Non-Operating Room Anesthesia Cases.

Authors:  Albert Wu; Joseph A Sanford; Mitchell H Tsai; Stephen E O'Donnell; Billy K Tran; Richard D Urman
Journal:  J Med Syst       Date:  2017-07-07       Impact factor: 4.460

Review 3.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
Journal:  J Cardiothorac Vasc Anesth       Date:  2017-11-04       Impact factor: 2.628

Review 4.  [Nonoperating room anesthesia].

Authors:  J Kramer; M Malsy; B Sinner; B M Graf
Journal:  Anaesthesist       Date:  2019-09       Impact factor: 1.041

Review 5.  Supporting efficiency improvement in public health systems: a rapid evidence synthesis.

Authors:  James Kenneth Walters; Anurag Sharma; Emma Malica; Reema Harrison
Journal:  BMC Health Serv Res       Date:  2022-03-03       Impact factor: 2.655

  5 in total

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