The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems.
Optimization of operating room (OR) resources and costs require accurate estimations of procedure times. In some institutions, surgeons are asked to predict their surgical control time (SCT), which typically constitutes the majority of the total procedure time. Here, we examine differences in predic...
| Publicado en: | Journal of Medical Systems Vol. 40; no. 4; pp. 1 - 7 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2016
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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=115925298&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925298 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Apr2016 vid: 40 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925298 115925298 115925298 10.1007/s10916-016-0457-x 115925298 ppf: 1 ppct: 6 formats: fmt: @attributes: type: P tig: atl: The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems. aug: au: Wu, Albert Brovman, Ethan Whang, Edward Ehrenfeld, Jesse Urman, Richard affil: Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston 02115 USA sug: subj: Time Factors Surgery, Operative Statistics and Numerical Data Specialties, Medical Operating Rooms Organizational Efficiency Statistics and Numerical Data Human Academic Medical Centers Two-Tailed Test T-Tests Descriptive Statistics One-Way Analysis of Variance Massachusetts Retrospective Design Record Review Inferential Statistics Post Hoc Analysis ab: Optimization of operating room (OR) resources and costs require accurate estimations of procedure times. In some institutions, surgeons are asked to predict their surgical control time (SCT), which typically constitutes the majority of the total procedure time. Here, we examine differences in predicted versus actual SCT and variations by specialty. Data included all scheduled surgical procedures at one academic institution from October 2008 - September 2014. Exclusion criteria consisted of missing values for SCT as well as estimated SCTs that fell outside of 5 standard deviations of any given procedure's mean. Differences in estimation were calculated by subtracting estimated SCT from actual SCT and compared against a null hypothesis of 0 with a two-tailed t-test. Differences between specialties were examined using analysis of variance and Games-Howell tests. Between 2008 and 2014, 119,410 scheduled procedures were performed. After exclusion, 116,599 cases were analyzed. On average, SCT was overestimated by 12.9 min ( p < 0.0001). Overestimations persisted when divided by specialty ( p < 0.0001). With thoracic surgery as a control, all other specialties except for cardiac surgery had overestimations of SCT. The greatest time differences were seen in dental (37.6 min, p < 0.0001), cardiology (33.0 min, p < 0.0001), and neurosurgery (29.7 min, p < 0.0001). Overall, SCTs are overestimated at this institution across many specialties. Depending on the methodology by which a hospital chooses to allocate OR time, SCT estimations could potentially be reduced in certain specialties to allow for better allocation of OR resources. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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