Efficiency improvement in the operating room

Efficiency improvement in the operating room

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Available online at www.sciencedirect.com

1 2 3 4 5 6 journal homepage: www.JournalofSurgicalResearch.com 7 8 9 10 Research review 11 12 13 14 15 Q13 a,b 16 Meghan Smith,a,c and Alexander Langermana,c,* Q2 Abigail J. Fong, 17 Q3 18 Q4 a University of Chicago Operative Performance Research Institute b 19 Pritzker School of Medicine c 20 Department of Surgery, Section of OtolaryngologydHead and Neck Surgery 21 22 23 abstract Q12 a r t i c l e i n f o 24 25 Background: In the changing health care environment, health systems, hospitals, and Article history: 26 health care providers must focus on improving efficiency to meet an increasing demand for Received 23 August 2015 27 high-quality, low-cost health care. Much has been written about strategies and efforts to Received in revised form 28 improve efficiency in the perioperative periods, yet the time when the patient is in the 15 March 2016 29 operating roomdthe intraoperative perioddhas received less attention. Yet, this is the Accepted 20 April 2016 30 period in which surgeons may have the most influence. Available online xxx 31 32 Study Design: Systematically review published efforts to improve intraoperative efficiency; 33 assess the outcomes of these efforts, and propose standardized reporting of future studies. Keywords: 34 Results: A total of 39 studies were identified that met inclusion criteria. These divided Efficiency 35 naturally into small (single operative team), medium (multi-operative team), and large Operating room 36 (institutional) interventions. Most studies used time or money as their metric for efficiency, Surgery 37 though others were used as well. Intraoperative 38 Conclusions: There is substantial opportunity to enhance operating room efficiency during Lean 39 the intraoperative period. Surgeons may have a particular role in procedural efficiency, Six sigma 40 which has been relatively unstudied. Common themes were standardizing tasks, collecting Total quality improvement 41 and using actionable data, and maintaining effective team communication. Process mapping 42 ª 2016 Elsevier Inc. All rights reserved. 43 44 45 46 Introduction Most surgical dollars are spent in the OR,2 making this 47 48 a high-priority target for efficiency efforts. As the public 49 Hospitals and health systems must focus on improving effibecomes more aware of differences in health care 50 ciency to meet the increasing demands for high-quality, lowspending,3,4 hospitals may hold surgeons more responsible 51 for controlling variable OR costs.5,6 Beyond this, surgeons cost care. Although much has been written about the need 52 have additional incentives for OR efficiencydtime savings and strategies to improve efficiency of the preoperative and 53 may translate to an earlier finish or the opportunity to post and/or interoperative periods,1 the intraoperative peri54 perform more cases during the same block time. oddwhen the patient is in the operating room (OR)dhas 55 Because surgeons direct and perform surgical care on received less attention. Yet, the intraoperative period is the 56 behalf of their patients, they are in the ideal position to primary OR experience, the basis for procedure billing, and the 57 ensure that efficiency improvements do not threaten period of time over which surgeons may have the most 58 59 patient care. influence. 60 61 * Corresponding author. Department of Otolaryngology, Vanderbilt University, 7209 Medical Center East, South Tower, Nashville, TN 62 37232-8605. Tel.: þ1 615 322 9598; fax: þ1 615 936 2887. 63 E-mail address: [email protected] (A. Langerman). 64 0022-4804/$ e see front matter ª 2016 Elsevier Inc. All rights reserved. 65 http://dx.doi.org/10.1016/j.jss.2016.04.054

ScienceDirect

Efficiency improvement in the operating room

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To raise surgeon awareness of OR efficiency (as has been previously done for quality7), this article summarizes currently published studies of intraoperative efficacy improvement, examines the outcomes of these efforts, and proposes standardization of reporting future efforts in the surgical literature.

Methods Key search terms were determined by background reading on health care and manufacturing efficiency.8-11 We queried PubMed in April 2015 via the following search: [“operating room” OR “surgery” OR “surgical”] AND [“Efficiency” OR “Lean” OR “Six Sigma” OR “parallel processing” OR “process mapping” OR “process map” OR “value stream mapping” OR “value stream map” OR “total quality improvement”]. We excluded nonrelevant search results and articles not in English and then manually screened the remaining abstracts and their references for appropriate articles. “Efficiency” is a widely used word in health care with multiple definitions8; for this study, we focused on efforts to produce improvements in time, costs, or their proxies. We defined our inclusion criteria as any article describing a method to improve intraoperative efficiency and reporting results of an outcome measure. We defined the intraoperative time period to be that when the patient is in the operating room, including anesthesia time but not patient transport or room changeover time (“interoperative” time). Articles solely reporting preoperative, postoperative, or interoperative efficiency were excluded as were articles solely regarding ontime starts, scheduling, ergonomics, cancellations, training, admissions, room change-overs, room airflow, quality measures, and work-life balance. Each author independently selected articles based on inclusion criteria, and disagreements were settled with consensus. References of included articles were scanned for additional articles. After this iterative process was exhausted, the resultant articles were surveyed and categorized by focus and methodology. Level of evidence was assigned as a group from these articles based on the Agency for Healthcare Research and Quality National Guideline Clearinghouse guidelines. Two authors (A.F. and A.L.) then abstracted results from these studies and grouped them into the categories presented in the results.

Results The initial search generated 26,798 results. Of these, 3602 remained after initial screening, and 182 articles and their references were screened individually for relevance. Of these, 37 studies were identified by all authors as meeting inclusion criteria; an additional eight articles were identified by at least one author, and of these, two were added based on consensus review for a total of 39 articles (Table). The PRISMA flowchart and the stratification for focus on intraoperative efficiency are summarized in Figure 1. For explanatory and supportive purposes, we also have cited an additional 49 review, analytical, and nonintervention descriptive articles in this article.

Of the 39 intervention articles, 29 (74%) used time as their metric for efficiency, 9 (23%) used financial measures, and 12 (31%) studies used other metrics such as tool reduction, case number, delays, and steps. Some studies used more than one metric and some included quality metrics as well. The most common factors studied were parallel processing (n ¼ 7), lean management (n ¼ 2), value stream/process mapping (n ¼ 5), checklists (n ¼ 2), OR redesign and environment (n ¼ 2), six sigma (n ¼ 2), and total quality management (n ¼ 2). Most articles focused on the OR space or the surgical team and did not examine efficiency of the operative procedure itself. Interventions were naturally partitioned into three categories based on scale: small (those that could be implemented in a single operating room potentially by a single surgeon or team); medium (those that require a surgical group or floor cooperation); and large (those that require major institutional buy-in, support and change). Common themes across these interventions were standardization, collecting and using actionable data, and maintaining effective communication.

Small-scale efficiency interventions “Small” interventions can be implemented relatively quickly and can be considered first-line approaches to improving OR efficiency. A single surgeon or small groups of surgeons might initiate these interventions, which include:

Surgical workflow redesign Attarian used interoperative and intraoperative workflow analysis to make multiple changes in staff behaviors and generate a case increase of 29% for total joint arthroplasties (from 2.35 to 3.04 average cases per OR per day12). Krasner standardized setup and introduced parallel task completion to reduce coronary bypass procedure time an average of 22 min (18%), anesthesia time 10 min (38%), and total OR time 67 min (21% of the initial average time of 314 min13). Such time savings may allow more cases to be completed if they are shorter (more revenue per OR day) or allow longer cases to be completed within standard shifts to avoid overtime (lower costs per OR day). Bender managed to accomplish both of these goals in a large academic medical center using a six sigma approach that included input from members of the surgical team and administration; cases increased by 9% and overtime decreased from 7% to 4%, resulting in a 14% decrease in personnel costs and a 19% increase in OR revenue.14 Three studies applied process-mapping surgical procedures, which outline every step of the case and expected team tasks to decrease staff uncertainty and encourage anticipatory preparation. Chalian reduced operative time by 12% in 21 head and neck cancer resection cases by designating intraoperative pathways and standardizing planned instrumentation.15 Casaletto reduced operative time by 20% and reduced the number of surgical steps from 66 to 37 in eight carpal tunnel decompression cases.16 Lee mapped the intraoperative process of deep inferior epigastric perforator flap breast reconstruction and instituted simultaneous flap harvest and breast resection (parallel processing, Fig. 2). This change resulted in an average case length reduction of 16% (8.2 to 6.9 h for unilateral and 12.8 to 10.6 h for bilateral reconstruction) and reduced operative costs by 5%-12%.17

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Table e Intraoperative efficiency articles identified for this review. Scale of the intervention Small

Medium

Author

Method

Study design

Outcome

Attarian

Process redesign

Time interrupted cohort. Level of evidence II

Number of cases increased by 29%

Bender

Six sigma

Nonrandomized trial, 24,193 cases over 2 y; level of evidence II

Number of cases increased by 9%, overtime decreased by 3%, 19% increase in OR revenue

Casaletto

Process mapping/ redesign

Nonrandomized trial. Eight cases. Level of evidence II

Reduced operative time by 20% and reduced the number of surgical steps from 66 to 37 in eight carpal tunnel decompression cases

Cassera

Team familiarity

Cohort; 360 cases. Level of evidence III

Addition of 1 team member increased procedure time by predicted 15.4 min

Chalian

Pathway redesign

Nonrandomized trial; 21 cases. Level of evidence II

12% operative time decrease

Chin

Tool reduction

Cross-sectional study: 226 instrument trays, level of evidence II

Average instrument utilization rate found to be 27.8%, able to reduce instruments on trays by 57%

Engelmann Standardized breaks

Randomized controlled trial; 51 Frequent intraoperative breaks of 5 min every cases. Level of evidence I half hour did not increase operative time, and decreased adverse outcomes as well as surgeon cortisol levels.

Farrokhi

Lean methodology, 5s tool reduction

Nonrandomized controlled trial; 2766 cases. Level of evidence II

Reduction of surgical trays for minimally invasive spine surgery by 70% (197 tools to 58) and decrease operative time by 7 min

He

Team familiarity

Retrospective cohort; 1900 cases. Level of evidence III

Addition of one team member increased procedure time by predicted 34.7 min

Krasner

Parallel processing and standardization

Cohort; 549 cases. Level of evidence III

22-min surgical time saved; 10-min anesthesia time

Lain

IHI collaborative improvement, standardization, tool reduction, cycle time reduction

Cohort; 805 cardiac surgeries. Level of evidence III

26% cost reduction in coronary bypass DRG

Lee

Process mapping/ redesign

Nonrandomized controlled trial; 150 patients, 100 before intervention. Level of evidence II

Unilateral group cost decrease of 10.2% and decreases of 1.3 h; bilateral group time decreases of 2.2 h

Lunardini

Tool reduction

Cross-sectional study: 38 instrument trays, level of evidence II

42% of instruments unused, 41% removed from tray with projected savings of $41,000 per year

Morris

Root cost analysis, process mapping

Retrospective cohort; 419 cases. Decreased instruments by 23%, decreased in Level of evidence III OR non-operating time by 9 min (20%)

Ngu

Planning, streamlined supply chain and instrument trays, team building

Nonrandomized controlled Instrumentation reduced from 113 to 72; trial; one surgical team. Level of doubling surgical volume per time evidence II.

Nundy

Checklists

Nonrandomized controlled trial; 422 survey respondents. Level of evidence II

11% decrease in intraoperative delays, 15% decrease in communication breakdowns

Porta

Checklists (team assessment)

Cross-sectional survey; 11,342 cases. Level of evidence IV

9% decrease in mean delays, 39% decreased wasted time

Stockert

Tool reduction

Cross-sectional study: 49 procedures, 237 instrument trays, level of evidence II

Utilization rate for instruments was 13%-22%

Zheng

Team familiarity

Retrospective cohort; 587 cases. Addition of 1 team member increased Level of evidence III procedure time by predicted 7 min

Al-Hakim

Tracking delay

Cross-sectional study; 31 cases. Approximately 25% of the time observed was Level of evidence IV spent on preventable disruption and 60% of that preventable disruption was on nonvalue added activities (continued)

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Table e (continued ) Scale of the intervention

Large

Author

Method

Study design

Outcome

Doherty

Standardization of team

Retrospective cohort; 101 cases. Standardize personnel on the operative team reduce procedure time by 47.1 min Level of evidence III

Gitelis

Cost awareness

Non-randomized trial; 1014 10% decrease in disposable costs for cases (586 pre 428 post) level of laparoscopic cholecystectomy, an annual evidence II savings of $27,000

Morris

Root cost analysis, process mapping

Retrospective cohort; 419 cases. Decreased instruments by 23%, decreased in Level of evidence III OR non-operating time by 9 min (20%)

Overdyke

Tracking delays, education intervention

Cross-sectional survey. 1881 cases. Level of evidence IV

Perkins

Timing auditing, tracking delays

Retrospective cohort; 180 cases. In OR to procedure start and turnover time Level of evidence III identified as weaknesses

Stepaniak

Consistent team and type of procedure

Randomized controlled trial; 94 Fixed teams and scheduling similar cases. Level of evidence I procedures sequentially reduces procedural time by an average of 10 min in the 94 hernia repair and laparoscopic cholecystectomies they observed

Stepaniak

Consistent team and type of procedure

Non-randomized control trial, 2 1387 bariatric procedures observed. Fixed medical centers 1387 cases, teams reduced procedure duration by 10.8% level of evidence II or 4-13 min

Xu

Team familiarity

Cohort study: 754 procedures, 223 teams, 8 surgeons. Level of evidence III

Surgical team familiarity accounted for 16 min decrease in operative time after 10 collaborations

Althausen

Specialized team

Retrospective review; 2076 cases. Level of evidence III

Specialized traumatologist decreased procedure time 20 min and cost about $600 versus general orthopedic surgeons

Friedman

Parallel processing

Nonrandomized trial; 66 case studies, 72 controls. Level of evidence level II

Saved on average 9.6 min in sedate, block, and prep time

Hanss

Parallel processing

Non-randomized trial; 335 cases. Level of evidence II

Nonoperative time decreased 11 min, one extra case possible per day with two ORs participating, with three ORs 2 extra cases possible

Harders

Parallel processing, multidisciplinary process redesign

Non-randomized trial; 239 cases, 23 surgeons. Level of evidence II

Decreased non-operative time by 23 min, decreased anesthesia time by 5 min

Kehoe

Supply chain management, lean

Case report; 1 hospital with 22 ORs. Level of evidence IV

Improved tray accuracy to over 99%

Rosenblatt

Supply chain management

Time interrupted cohort; 1318 (pre-intervention); 1367 cases (post-intervention). Level of evidence II

45% reduction in mean per case overage in comparable study periods

Small

Specialized OR

Randomized controlled trial; 1004 cases. Level of evidence I

7 min of operative time savings and a total savings of 19 min per procedure by using a specialized orthopedic OR

Smith

Parallel processing

Non-randomized controlled Non operative time decreased 36 min, trial. 608 historical controls, 905 operative time decreased 14 min post-intervention cases, level of evidence II

Stahl

Specialized OR; parallel processing

Case-control; 182 specialized Decreased procedure time by 14 min, and OR cases, 193 matched controls, total patient OR flow time by 29 min, this level of evidence II allowed for two additional cases per day

Torkkai

Parallel processing

Case-controlled; 57 cases preintervention, 77 cases postintervention. Level of evidence III

Non operative time decreased 45.6%, additional case was able to be added per day

Varu

Specialized OR

Case-controlled; 109 cases. Level of evidence III

Hybrid fixed-image fluoroscopy equipped ORs reduced contrast usage by 30 mL and operative time by 30 min on average in the 109 endovascular aneurysm repairs observed.

Reporting delays leads to less delays

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shown to help prevent mental fatigue. One study involving complex laparoscopic procedures found that in the 51 cases they studied, frequent intraoperative breaks of 5 min every half hour did not increase operative time and did decrease adverse outcomes and surgeon stress (as measured by cortisol levels18). No-handoff zones are time periods in a procedure in which the staff cannot change. In Lee’s study,17 the no-handoff zone started with the moment of flap harvest through the microvascular anastomosis (the flap ischemia time). Three studies each found that increased handoffs (as measured by team size) predicted increased operative time.19-21 These handoffs are primarily nurse-nurse (or nurse-tech) rather than surgeons. Studies examining surgeon handoffs are in conflict; He et al. found surgeon handoffs contributed to increased surgical time, whereas Cassera et al. found no effect.19,20 Regardless of the personnel who hand off, surgeons must determine the periods of the case during which handoffs will be most and least detrimental to case flow.

Standardizing instruments and supplies Standardizing and reducing supplies and durable instruments have benefits outside and inside the OR by reducing operative costs, setup time, counting time, and turnover time. Farrokhi applied lean methodology to reduce surgical trays for minimally invasive spine surgery by 70% (197 tools to 58) and decrease operative time by 7 min.22 Lunardini held an “instrument fair” to discuss utilization of spine instruments, ultimately leading to a reduction of 41% and an estimated savings of $41,000 per y.23 Multiple other studies have reduced instruments by 19%-57%, leading to less clutter in the operating room, improved setup time, and reduced reprocessing costs.24-26 Our own study found that across multiple specialties, the utilization rate of instruments was 13%-22%,27 suggesting ample room for improvement.

Team huddles Before and after each case, surgeons can use team huddles to improve efficiency. By reviewing the OR plan, goals, anticipated flow, and supply needs with the surgical team at the onset of the case, 11 surgeons at Johns Hopkins University reduced unexpected surgical delays from 36% to 25% in over 400 cases.28 Porta assessed the team’s performance after a case to understand intraoperative delays. This added no operative time and led to a 9% decrease in average delay and a 39% decrease in wasted OR time.29 Makary published a tutorial on these postoperative debriefings and suggested their use in identifying trouble areas.30 Fig. 1 e PRISMA diagram of literature search: (NB: The numbers listed for each exclusion type in “exclusion by inclusion criteria” add up to greater than total of 147 because some articles were excluded for multiple reasons.).

Medium-scale interventions

In addition to parallel processing, Lee’s process map included planned breaks and “no-handoff zones.” Planned breaks create a moment of rest during long cases and have been

Checklists

“Medium” interventions require a whole OR floor or group to participate to see benefits. Data are collected across multiple practitioners and teams to identify outliers in need of improvement. These interventions require more staff buy-in to implement.

The most widespread use of checklists in the OR today tends to focus on immediate preprocedural and postprocedural

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Fig. 2 e Parallel processing: (A) induction and room turnover occur simultaneously and (B) two portions of a procedure occur simultaneously, (diagram design by Tomoko Ichikawa and Marcie Cooperman, IIT Institute of Design).

checks31-34 but extending them throughout the procedure is possible. Buzink piloted the Pro/cheQ, an interactive surgical workflow tool that displays checklists for each step of a

laparoscopic cholecystectomy and found a 65% decrease in risk-sensitive events in 15 observed cases.32 Over time, however, they had difficulties with staff engagement; in their article,

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Fig. 3 e Dynamic operational map (DOM): This simplified diagram demonstrates the relational coordination of surgical team members and the discreet steps of an operation. Contingencies are diagrammed as diverging branches and decision nodes as converging branches. This method can be used as a framework for examining workflow in complex operations. Tools needed, scheduled breaks, and no-handoff zones can be added based on case requirements. Data on value added, cost, time, and inefficiencies can be organized based on these discreet steps. (Diagram design by Tomoko Ichikawa and Marcie Cooperman, IIT Institute of Design).

they address the need to embed such checklists in the OR routine for a sustainable benefit. Russ reported on the development and validation of an observer-administered checklist (“METEOR”) that assesses completion of key efficiency-related OR tasks during each stage of general surgical procedures.35 Although this was a research tool, it highlights key intraoperative tasks that could be targeted with a checklist.

16-min reduction in operative time after 10 team collaborations.38 Similarly, Doherty reduced average procedure time by 47.1 min by standardizing the nursing staff over 49 complex head and neck cases,39 and Morris found working with familiar teams resulted in an average 20% (9 min) reduction in nonoperative in-room time per case.26

Data tracking Teaming When surgeons regularly work with the same teams, cases run more efficiently due to nurses’ familiarity with tools and nomenclature, knowledge of preferences, and ability to anticipate needs. Stepaniak maintained fixed teams and scheduled similar procedures sequentially to reduce procedural time by an average of 10 min per case over 94 hernia repairs and laparoscopic cholecystectomies36 and in a separate study found that fixed teams and similar schedules reduced bariatric surgery duration by 10.8% or 4-13 min.37 Xu examined 754 cases of bilateral reduction mammoplasty procedures and found that surgical team familiarity with one another accounted for about

Perkins et al. tracked their operating room times for 180 pediatric otolaryngology cases to look for efficiency intervention targets. By comparing granular results on timing for each component of patient throughput (i.e., patient in-room to procedure start, procedure time, procedure end to room-out, and turnover time) to published benchmarks, they were able to focus their efficiency efforts only on the components that were prolonged.40 Overdyke et al. tracked specific interoperative and intraoperative delays to identify the most common sources of inefficiency for total quality improvement.41 They found decreased delays after their interventions, many of which

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Fig. 4 e Framework for OR efficiency innovations. (Diagram design by Tomoko Ichikawa and Marcie Cooperman, IIT Institute of Design). *Jimmerson details a common technique for this called “value stream mapping”.80 **Sensors are becoming ubiquitous in health care settings. In the OR, this commonly includes radiofrequency identification tracking of patients, supplies, and personnel but could also be envisioned to include computer vision, audio, and wearables that track

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involved simply notifying the right people of their performance. Al-Hakim and Gong found by tracking delays in the OR that about 25% of intraoperative delay time was spent on preventable disruption and 60% of those disruptions were for unnecessary activities or those that should have been performed before the procedure.42

Awareness of costs Gitelis found that educating surgeons about the price of disposable tools resulted in a 10% decrease in disposable costs for laparoscopic cholecystectomy for an annual savings of $27,000.43 Our own institutional experience has been even more significant, with a decrease in >$500,000 in annual costs of disposable instruments due to a cost-awareness campaign across just four surgical specialties.

Large-scale interventions “Large” interventions require institutional cooperation and major investment to implement. These include reorganizing supply-chain management, creating designated teams for specialized tasks, and redesigning the OR space itself.

Supply chain management Supplies are a voluminous and costly component of surgical work; hospitals may spend 50% of OR budgets on supplies,44 and this has prompted several studies aimed at reducing supply-related costs and delays. Intraoperatively ensuring that the right items are available and that unnecessary items remain unopened has the potential to reduce OR equipment delays, decrease labor costs to pull and restock unused items, and improve doctors’ and nurses’ focus on clinical care.44-47 To reduce the presence of unnecessary items, the surgical team can estimate instrument needs from past cases46 and can track wasted (opened-but-unused) supplies.48 Using this information to revise pick lists and standardize OR setups led Rosenblatt to decrease wasted material costs by 45% in 1367 postintervention cases.49 Tracking supplies with barcodes or radiofrequency identification (RFID) enhances the speed and accuracy of data collection for efficiency interventions by linking supplies with specific patients and providers and generating actual utilization data.50-55 This tracking technology can continuously monitor supplies and deliver case carts “just-in-time” to reduce operative waiting time as well as holding costs related to excess inventory.44 Such tracking software can also be used on durable instruments, to maintain tray accuracy and eliminate delays due to missing instruments56 and on personnel, to drive insights on workflow.57

Specialization Some groups have implemented specialized personnel, programs, instruments, and ORs to improve efficiency.58-61 Such interventions are only possible at medical centers with justifiable volume but have the potential to greatly

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improve time and cost savings. Small reduced operative time by 7 min and total room time by 19 min per procedure by using a specialized 6-room orthopedic OR unit with dedicated teams.58 Althausen examined the effect of a specialized traumatologist for surgical fracture care compared to a general orthopedic surgeon at a level II trauma center. In the 2076 cases, they studied, the outcomes were comparable, but the truamatologist’s procedures were shorterdby approximately 20 min (P ¼ 0.0001)dand demanded fewer labor, supply, and implant costs.60

Space redesign and parallel processing Perhaps, the largest approach to improving efficiency is to physically redesign the OR. Massachusetts General Hospital built its OR of the Future (ORF) to study the effect of space interventions on efficiency.62 In the ORF induction and earlyrecovery rooms adjoin to improve patient flow; monitors and sensors help with easy reconfiguration. To improve throughput, specialized gurneys double as patient beds, thereby eliminating transfers. Although ORF requires an additional staff member, the workflow redesign generated enough capacity to perform two additional procedures daily.62,63 The capacity increase was due to reductions in nonoperative time by about 30 min per case by parallel processing OR turnover with patient recovery and the next patient’s induction (Fig. 2). Multiple studies have examined the effect of parallel processing on efficiency in the OR and found a savings of 5-36 min from in-room anesthesia or nonoperative time. Freidman saved an average 9.6 min in sedation, blocking, and prep time,64 Smith saved an average 36 min of nonoperative time (a 50% savings),65 and Harders saved 23 min of non-operative time and 5 min in anesthesia time.66 Importantly, this time reduction does not seem to affect anesthesia quality and may actually allow for a less hurried induction while still saving overall time.67 These time savings result in real additional capacity (which can translate to revenue increase). Torkki and Hanss each found that a separate induction room allowed an additional case to be added to a normal surgical day.68,69 Hanss also showed that this effect was more powerful when more ORs participated in parallel processing (going from two to three participating ORs resulted in an increase from one to two additional surgical procedures being possible in a standard day with the same procedural mix).68 The number of additional personnel needed to run these parallel induction rooms was 1.569 to 2.68 The benefits of additional capacity are balanced against the combined upfront capital investment in space redesign and ongoing costs of additional personnel. Marjamaa found that infrastructure costs can be avoided by performing parallel induction techniques within existing space70 and also that efficiency savings hold even in scenarios with centralized induction areas.71

= elements such as instrument use, economy of motion, or stress. ***Interventions may affect certain parts of the procedure more than others. Defining these discreet elements is important. See Fig. 3. ****Although patient is anesthetized but surgical team is not actively operating due to a disruption or delay. 5.4.0 DTD  YJSRE13772_proof  12 May 2016  2:38 pm  ce

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However, saving a few minutes of OR time may not always 1171 translate to additional cases.72 Using a mathematical model 1172 based on cases in the ORF and normal ORs, Sokal found that 1173 parallel processing would save enough time for additional 1174 procedures in only 26% of potential surgeon-case combina1175 1176 Q5 tions.73 Furthermore, they noted that without increased PACU 1177 space, increased OR turnover can lead to shifting the bottle1178 neck in efficiency.73 1179 In addition to parallel processing, whereby tasks are 1180 moved outside the OR, space redesign can also introduce new 1181 functions into the OR. “Hybrid rooms” can include fluoros1182 copy, magnetic resonance imaging, and computed tomogra1183 phy imaging capabilities to reduce wait time and eliminate the 1184 need for patient transportation during procedures.74-77 For 1185 instance, Varu found fixed-image fluoroscopyeequipped ORs 1186 reduced operative time by an average 30 min in 109 endo1187 1188 vascular aneurysm repairs.77 1189 1190 1191 1192 Discussion 1193 1194 Although much of the money spent in surgical care occurs in 1195 the OR,2,78 few published studies focus on this portion of the 1196 workflow. It may be that the preoperative, postoperative, and 1197 interoperative periods are more standardized, easier to track, 1198 1199 and represent the “low hanging fruit” for efficiency improve1200 ment. Surgery is highly human and must respond to patients’ 1201 anatomy, physiology, and pathology. This variability is a 1202 roadblock to efficiency improvement and highlights the need 1203 for more surgeons to get involved in efficiency interventions; 1204 surgeons have firsthand insight into the effect that any 1205 intervention has on the care of individual patients. 1206 The timepoints, cost methodology, and outcomes mea1207 sures were inconsistent across the studies in this review, and 1208 most reports lacked details that would facilitate replication in 1209 other centers. Nicolay found similar deficiencies in studies on 1210 1211 quality improvement in the OR.7 Nevertheless, articles cited in 1212 this review give important clues as to how manufacturing 1213 techniques can be useful tools for the OR. 1214 Standardization has long been an approach to improving 1215 workflow in manufacturing because it improves consistency 1216 and speed with repetition. Although patients may vary, the 1217 major steps of a given procedure are usually consistent and 1218 outlining even these can help team efficiency and reveal im1219 mediate opportunities for time savings.12-17 Designating “no1220 handoff zones”17 can further improve the continuity of care 1221 1222 and eliminate time spent transferring information between 1223 surgeons and staff during critical moments. Efficiency and 1224 safety checks could also be introduced for key moments of a 1225 procedure (rather than only at the bookends), enhancing team 1226 awareness and ushering in a paradigm shift in surgical 1227 quality. 1228 Instrument reduction is another way for surgeons to get 1229 immediate efficiency improvements22-26dnurses will need 1230 less time to prepare a room, and necessary instruments can be 1231 more evident when the OR table is less cluttered. When 1232 reduction is applied across service lines, institutions 1233 1234 can realize reduced labor-replacement and instrument1235 replacement costs.

Working with the same team leads to efficiency benefits26,36-39 and may possibly supersede many other workflow efforts. However, working with the same, experienced team is not always possible, and enhancing performance in the setting of inconsistent teams is an important area for future research. Potential avenues include using team-based communication techniques such as scripting (standardized verbal exchanges79) and implementation of intraoperative checklists and team huddles to better acclimate novices. A good first step for a surgeon looking to improve the efficiency of his or her own OR might be to map the standard workflow and contingences of their procedures (Fig. 3). This can allow areas of inefficiency or special scenarios requiring tight team coordination to be identified.80 It is possible (and perhaps desirable) for surgeons to adopt “standard operating procedures” for routine cases that are consistent across different practitioners and institutions. This would allow for greater consistency of operations and planning for the entire operative team and can help control for potential confounding variables when comparing surgical teams or comparing surgery to other interventions.81 Whatever intervention is created, there are common elements throughout all of them: 1) Data is Paramount. All efficiency improvement efforts must begin with a data plan that includes the metrics to be collected, the means of collecting them, and the definition of success.15,66,82 Time savings may not directly relate to cost savings83 nor patient outcomes, so data plans should consider the relative impact of each of these metrics on the success of a proposed intervention. 2) Communication drives the operating room. Teamwork is the cornerstone of successful surgery, and the voices of all team members (surgeons, nurses, staff, and anesthesiologists) should be heard when planning interventions to ensure that all opportunities are considered.84,85 This also engenders ownership and buy-in of team members in proposed solutions.86 3) The OR is not an Island. Although we intentionally focused on intraoperative efficiencies, the overall patient-care pathway and distal patient-care outcomes should be tracked.87 Money and time saved in the OR that leads to longer hospital stays and poor outcomes is a fools’ economy88 and is antithetical to surgical improvement. Figure 4 outlines the steps for designing and implementing an OR efficiency intervention, as well as the key reporting measures for future publications. As more studies of OR efficiency are conducted, ensuring complete and standardized reporting can allow for cross-study comparisons, metaanalyses, and more reliable inference from data produced by multiple institutions.

Limitations Data used to assess efficiency do not tell the whole story. A simultaneous focus on improving or maintaining the quality of care must occur in any health care efficiency intervention. Our choice to focus only on the intraoperative period means that we have excluded many successful

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workflow-improvement solutions. We refer the reader to other sources for this information.7,78 We have also likely not captured all of the innovative intraoperative workflow solutions that have been introduced and tested. Publication bias limits reporting of unsuccessful efforts or replications of previously successful interventions. OR administrators, who drive many of these interventions, may not have the same incentive to publish as physicians or nurses. Some institutions may also consider workflow innovations to confer a competitive advantage in a marketplace of dwindling reimbursement. Others, such as the Cleveland Clinic58,88 and the Center for Integration of Medicine & Integrative Technology at the Massachusetts General Hospital,62 have been transparent about their innovations. Our hope is that by shedding light on and describing standards for intraoperative efficiency research, more individuals and institutions will be encouraged to share their experiences.

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Conclusion Approaches to improving intraoperative efficiency can occur on many levels based on the required level of resources and institutional support. Data transparency and communication are critical to intraoperative improvements, and any intervention should be conducted in the context of overall patient care. Intraoperative efficiency is an emerging science that must balance workflow standardization with individual patient care, and surgeons must therefore play a central role in developing future efficiency innovations.

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Acknowledgment The authors wish to thank Tomoko Ichikawa and Marcie Cooperman, both of the Illinois Institute of Technology Institute of Design, Chicago, IL, for preparation of Figures 2-4. Author contributions: All authors contributed to the design, research, analysis, and writing of this work.

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Financial disclosures The authors have no disclosures.

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