Understanding the complexities of equity within the emergence and utilization of AI in academic medical centers.

This editorial discusses positions for academic medical centers to consider when designing and implementing artificial intelligence (AI) tools.

Improving the Mental Health of Surgical Teams Through Operating Room Design.

OBJECTIVE: In this study, we aim to develop and propose an evaluation method for analyzing the design of operating rooms (ORs) from the perspective of surgical teams' reported experiences and stress levels. BACKGROUND: Stress and burnout of surgical team members can lead to diminished performance and medical errors, which endangers the safety of both the patients and team members. The design and layout of the OR play a critical role in managing such stress. METHODS: To understand surgical teams' spatial needs related to their experiences and stress, we administered a survey and in-depth focus group discussions to three surgical teams from the same organization. The identified spatial needs were translated into functional scenarios and spatial metrics, essentially viewing the OR through the perspective of users. RESULTS: Our analysis revealed four integral sections-patient flow, room organization, access to facilities/medical equipment/support staff/team members, and staff well-being-identified as critical design factors associated with the experiences and stress levels of the surgical teams in the ORs. CONCLUSIONS: We expect this method to serve as a tool for evaluating the effect of the design of OR layouts on stress, thereby supporting the well-being and resiliency of surgical teams.

Human Factors Approach to Assess Physician Workload in Elective Plastic Surgery Breast Procedures.

Background: Human factors research involves the study of work system interactions, physician workload, cognitive effort, and performance. This pilot study incorporated a human factor approach and other surgery-based metrics to assess cognitive workload among plastic surgeons during elective plastic surgery breast procedures. Methods: In this prospective study of plastic surgery breast procedures over a 3-month period, surgeon and patient demographics and procedural details were collected. The lead surgeon assessed each procedure using a validated workload questionnaire (National Aeronautics and Space Administration Task Load Index [NASA-TLX]) that included 6 subscales (ie, mental, physical, temporal demand, performance, effort, and frustration), a question on distraction, and their expectation of procedural difficulty. Results: Fifty-seven cases were included in this study. Surgical duration had a positive correlation with increased mental demand (P < .001), physical demand (P < .001), and degree of distractions (P < .001). Free flap reconstruction, breast reduction, and transgender mastectomy had the highest average mental, physical demands, and perceived effort. Bilateral cases had significantly higher workload than unilateral ones (P = .002). NASA-TLX scores between immediate and delayed reconstructions were comparable, but delayed cases had higher degree of distractions (P = .04). There was a strong correlation between degree of distractions and increased mental workload (R = 0.68; P < .001), increased physical demand (P = 0.61; P < .001), and increased temporal demand (R = 0.78; P < .001). More difficult procedures were associated with greater procedural duration than those rated as difficult as expected or less difficult than expected (P = .02). Conclusions: These preliminary data demonstrated multiple factors that may influence and govern perceived physician workload and may provide insight for targeted quality improvement to plan procedures safely and effectively.

Microsurgical skills training course and impact on trainee confidence and workload.

INTRODUCTION: Our objective was to measure the impact of a basic microsurgery training course on trainees' confidence and workload in performing microsurgery. METHODS: A prospective study of participants in an accredited 5-day microsurgery course over a 3-month period. The confidence and workload of the participants were assessed after the first and final day. The workload was assessed using the validated NASA Task Load Index composed of 6 subscales scored on a 20-point visual analog scale (VAS). Confidence was assessed over 5 dimensions on a 5-point VAS for anastomosis performance, vessels preparation, knot tying, training effectiveness, and future practice of microsurgery. RESULTS: A total of 31 participants completed the study with 55% reporting some previous microsurgery experience. All confidence dimensions improved significantly after completing the course, regardless of prior experience (p<0.01). Those with prior experience started and finished the course at higher confidence levels in anastomosis performance and vessel preparation than the non-experienced group (p<0.05). Overall workload showed a downward trend (improvement) at the end of the course, but no significant changes in the experienced and non-experienced groups (p>0.05). Most participants scored above the 50% "sustainability threshold" for mental demand, both before (71%) and after the course (73%), however, perceived physical demand significantly reduced, p = 0.01. CONCLUSION: The microsurgery course teaches fundamental skills and principles; therefore, it has merit in those who will utilize these skills in their future practice. Although there is increased confidence in skill acquisition, the impact on perceived workload during a short 5-day basic microsurgery course did not significantly change.

Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology.

OBJECTIVE: To assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS. PARTICIPANTS AND METHODS: A series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation. Multiple logistic regression with backward elimination was used to assess the relationship between demographic variables, attitudes about RTLSs, and intention to use or actual use of an RTLS. RESULTS: Demographic variables were not associated with intention to use or actual use of the RTLS. Before implementation, poor perceptions about the technology's usefulness and lack of trust in how employers would use tracking data were associated with weaker intentions to use the RTLS. During and after implementation, attitudes about the technology's use, not issues related to autonomy and privacy, were associated with less use of the technology. CONCLUSION: Real-time location systems have the potential to assess patterns of health care delivery that could be modified to reduce costs and improve the quality of care. Successful implementation, however, may hinge on how staff weighs attitudes and concerns about their autonomy and personal privacy with organizational goals. With the large investments required for new technology, serious consideration should be given to address staff attitudes about privacy and technology in order to assure successful implementation.

Workload Differentiates Breast Surgical Procedures: NSM Associated with Higher Workload Demand than SSM.

BACKGROUND: Breast surgery has evolved with more focus on improving cosmetic outcomes, which requires increased operative time and technical complexity. Implications of these technical advances in surgery for the surgeon are unclear, but they may increase intraoperative demands, both mentally and physically. We prospectively evaluated mental and physical demand across breast surgery procedures, and compared surgeon ergonomic risk between nipple-sparing (NSM) and skin-sparing mastectomy (SSM) using subjective and objective measures. METHODS: From May 2017 to July 2017, breast surgeons completed modified NASA-Task Load Index (TLX) workload surveys after cases. From January 2018 to July 2018, surgeons completed workload surveys and wore inertial measurement units to evaluate their postures during NSM and SSM cases. Mean angles of surgical postures, ergonomic risk, survey items, and patient factors were analyzed. RESULTS: Procedural duration was moderately related to surgeon frustration, mental and physical demand, and fatigue (p < 0.001). NSMs were rated 23% more physically demanding (M = 13.3, SD = 4.3) and demanded 28% more effort (M = 14.4, SD = 4.6) than SSMs (M = 10.8, SD = 4.7; M = 11.8, SD = 5.0). Incision type was a contributing factor in workload and procedural difficulty. Left arm mean angle was significantly greater for NSM (M = 30.1 degrees, SD = 6.6) than SSMs (M = 18.2 degrees, SD = 4.3). A higher musculoskeletal disorder risk score for the trunk was significantly associated with higher surgeon physical workload (p = 0.02). CONCLUSION: Nipple-sparing mastectomy required the highest surgeon-reported workload of all breast procedures, including physical demand and effort. Objective measures identified the surgeons' left upper arm as being at the greatest risk for a work-related musculoskeletal disorder, specifically from performing NSMs.

NASA-TLX Assessment of Surgeon Workload Variation Across Specialties.

OBJECTIVE: With advancements in surgical equipment and procedures, human-system interactions in operating rooms affect surgeon workload and performance. Workload was measured across surgical specialties using surveys to identify potential predictors of high workload for future performance improvement. SUMMARY BACKGROUND DATA: Surgical instrumentation and technique advancements have implications for surgeon workload and human-systems interactions. To understand and improve the interaction of components in the work system, NASA-Task Load Index can measure workload across various fields. Baseline workload measurements provide a broad overview of the field and identify areas most in need of improvement. METHODS: Surgeons were administered a modified NASA-Task Load Index survey (0 = low, 20 = high) following each procedure. Patient and procedural factors were retrieved retrospectively. RESULTS: Thirty-four surgeons (41% female) completed 662 surgery surveys (M = 14.85, SD = 7.94), of which 506 (76%) have associated patient and procedural data. Mental demand (M = 7.7, SD = 5.56), physical demand (M = 7.0, SD = 5.66), and effort (M = 7.8, SD = 5.77) were the highest rated workload subscales. Surgeons reported difficulty levels higher than expected for 22% of procedures, during which workload was significantly higher (P < 0.05) and procedural durations were significantly longer (P > 0.001). Surgeons reported poorer perceived performance during cases with unexpectedly high difficulty (P < 0.001). CONCLUSIONS: When procedural difficulty is greater than expected, there are negative implications for mental and physical demand that result in poorer perceived performance. Investigations are underway to identify patient and surgical variables associated with unexpected difficulty and high workload. Future efforts will focus on re-engineering the surgical planning process and procedural environment to optimize workload and performance for improved surgical care.

Surgeon Workload in Colorectal Surgery: Perceived Drivers of Procedural Difficulty.

BACKGROUND: To understand how surgeon expectation of case difficulty relates to workload for colon and rectal procedures and to identify possible surgeon-perceived drivers contributing to case difficulty. MATERIALS AND METHODS: For 3 mo, surgeons were asked to complete a modified NASA-Task Load Index (NASA-TLX) questionnaire following each surgical case. Questions included items on distractions, fatigue, procedural difficulty, and expectation plus the validated NASA-TLX items. All but expectation were rated on a 20-point scale (0 = low, 20 = high). Expectation was rated on a 3-point scale (i.e., more difficult than expected, as expected, less difficult than expected). Surgeons also reported perceived drivers contributing to case ease or difficulty. Patient and procedural data were analyzed for procedures with completed surveys. RESULTS: Seven surgeons (three female) rated 122 procedures over the research period using a modified NASA-TLX survey. Mean surgeon-perceived workload was highest for effort (mean [M] = 10.83, standard deviation [SD] = 5.66) followed by mental demand (M = 10.18, SD = 5.17), and physical demand (M = 9.19, SD = 5.60). Procedural difficulty varied significantly by procedure type (P < 0.001). Thirty-five percent of cases were considered more difficult than expected. Surgeon-perceived workload and most subscales differed significantly according to expectation level. There was no significant difference in patient factors by expectation level. Surgeons most frequently reported patient anatomy, body habitus, and operative team characteristics as drivers to difficulty and ease of cases. CONCLUSIONS: Procedural difficulty significantly differed across procedure type. More than one-third of cases were more difficult than expected, during which surgeons attributed this to operative team characteristics as well as issues in patient anatomy and body habitus.

NASA-Task Load Index Differentiates Surgical Approach: Opportunities for Improvement in Colon and Rectal Surgery.

OBJECTIVE: Surgeon workload, or human "cost" of performing a procedure, is not well understood in light of emerging surgical technologies. This pilot study quantified surgeon workload for colorectal procedures and identified patient, surgeon, and procedural factors impacting workload. SUMMARY BACKGROUND DATA: Innovative technologies and procedures in surgery have generally been promoted for the advancement of patient care. The resulting surgeon workload is poorly studied with little knowledge of the contributing factors impacting workload. METHODS: Surgeons completed NASA-Task Load Index (NASA-TLX) questionnaires to self-assess workload following abdominopelvic colon and rectal procedures. Corresponding patient data were retrieved from the medical record. Descriptive statistics, correlations, and ANOVA were performed to compare surgeon and patient factors, procedure type, and surgical approach on workload overall and by subscales. RESULTS: Seven attending surgeons rated 238 surgeries, of which 218 (92%) had corresponding patient data. Surgeon experience and patient demographics had inconsistent effects on workload. A statistically significant 3-way interaction was identified among disease process, procedure type, and surgical approach on workload (F(9, 146) = 2.17, P = 0.027), but was limited to open procedures for neoplasia and inflammatory bowel disease patients. Proctectomy and colectomy procedures compared across open, laparoscopic, and robotic approaches showed significant differences in overall workload and subscales, where the robotic procedures required significantly less mental demand, physical demand, and effort, than open or laparoscopic (P < 0.05). CONCLUSIONS: Patient characteristics, disease process, and surgical experience had inconsistent effects on surgeon workload. Major differences in workload were identified for procedure type and surgical approach, where robotic procedures required less mental demand, physical demand, and effort.

Preliminary Investigation of Civilian Clinician Perspectives & Just-in-Time Guidance for Tourniquet Use to "Stop the Bleed".

OBJECTIVE: The American College of Surgeons (ACS) encourages clinicians to provide training to laypeople on tourniquet application. It is unclear whether clinicians are confident in their abilities and equipped with adequate knowledge, skills, and resources. This study aimed to determine surgical trainee knowledge and attitudes regarding tourniquet application and compare the effectiveness of instructions. METHODS: Thirty surgical trainees performed a tourniquet application simulation using a Combat Application Tourniquet and one of the three instructions sets developed by ACS, Department of Homeland Security, and the tourniquet manufacturer. Participants reported tourniquet knowledge, attitudes, and confidence and discussed the instructions. One instruction set was updated and compared to the original set with 20 new trainees. RESULTS: Participants with ACS instructions passed the greatest number of steps (p < 0.01) and completed the task significantly faster compared to those with manufacturer instructions (p < 0.01). Participants (80%) reported favorable views toward tourniquets but 30-60% did not align with to ACS tourniquet guidelines. Focus group participants suggested revisions to the ACS instructions. Comparing the original and revised version of these instructions resulted in no significant improvements. CONCLUSIONS: ACS instructions provide guidance; however, improvements to tourniquet instruction are needed for success in controlling exsanguinating hemorrhage.

Characteristics of team briefings in gynecological surgery.

Preoperative briefings have been proven beneficial for improving team performance in the operating room. However, there has been minimal research regarding team briefings in specific surgical domains. As part of a larger project to develop a briefing structure for gynecological surgery, the study aimed to better understand the current state of pre-operative team briefings in one department of an academic hospital. Twenty-four team briefings were observed and video recorded. Communication was analyzed and social network metrics were created based on the team member verbal interactions. Introductions occurred in only 25% of the briefings. Network analysis revealed that average team briefings exhibited a hierarchical structure of communication, with the surgeon speaking the most frequently. The average network for resident-led briefings displayed a non-hierarchical structure with all team members communicating with the resident. Briefings conducted without a standardized protocol can produce variable communication between the role leading and the team members present.

A pilot study of non-routine events in gynecological surgery: Type, impact, and effect.

OBJECTIVE: Quantifying non-routine events (NREs) assists with identify underlying sociotechnical factors that could lead to adverse events. NREs are considered any event that is unusual or atypical during surgical procedures. This study aimed to use prospective observations to characterize the occurrence of non-routine events in gynecological surgeries. METHODS: Observational data were collected prospectively within one surgical gynecology department over a five month period. Researchers captured NREs in real time using a validated tablet PC-based tool according to the NRE type, impact, whom was affected, and duration. Researchers also noted what surgical approach (i.e. open, laparoscopic, robotic) was used. RESULTS: Across 45 surgical cases, 554 non-routine events (M = 12.31 NREs per case, SD = 9.81) were identified. The majority of non-routine events were external interruptions (40.3%), teamwork (26.7%), or equipment (21.3%). The circulating nurse was most frequently affected by NREs (43.2%) followed by the entire surgical team (13.7%). There was no statistically significant difference in non-routine events based on surgical approach. CONCLUSION: Non-routine events are prevalent in the gynecological surgical setting. Identifying the sociotechnical factors that influence non-routine events are important in determining interventions that will combat the associated risks. Interventions focusing on teamwork, managing external interruptions, and coordinating equipment may have the greatest impact to reduce or eliminate NREs in gynecological surgeries.

Interruptions Experienced by Emergency Nurses: Implications for Subjective and Objective Measures of Workload.

INTRODUCTION: This study aimed to describe interruptions experienced by emergency nurses and establish convergence validity of 1 objective workload measure by linking interruption characteristics to objective and subjective measures of workload. METHODS: Interruptions were captured in real time across 8- or 12-hour shifts using a previously validated Workflow Interruptions Tool (WIT). Data collected on each interruption included type, priority, and location where the interruption occurred. At mid- and end-shift, the Surgery Task Load Index (SURG-TLX) and the Rapid Cognitive Assessment Tool (RCAT) were administered to participating nurses to measure workload subjectively and objectively. RESULTS: Thirty-eight emergency nurse shifts were observed. A total of 3,229 interruptions were recorded across 372.5 clinical hours and 38 shifts (means [M] = 85.0 interruptions per shift, standard deviation [SD] = 34.9; M = 8.7 interruptions per hour, SD = 3.36). The median duration per interruption was 13.0 seconds. A moderate positive association was identified between the number of interruptions experienced during a shift and the increased overall SURG-TLX workload reported at end-shift, r(36) = 0.323, P = 0.048. Also, a moderate positive association was identified between increased reaction times during the RCAT task and increased mental demand experienced at end of shift, r(36) = 0.460, P < 0.001. DISCUSSION: This study observed interruptions throughout the entirety of a nursing shift and found that the majority of interruptions caused by the environment were low priority. Targeting interventions to reduce low-priority and environmental interruptions may aid in alleviating the impact of interruptions on clinical staff and patient care. Furthermore, results demonstrate that the frequency of interruptions was perceived to increase the nursing staff workload overall.

Physician, Interrupted: Workflow Interruptions and Patient Care in the Emergency Department.

BACKGROUND: It is unclear how workflow interruptions impact emergency physicians at the point of care. OBJECTIVES: Our study aimed to evaluate interruption characteristics experienced by academic emergency physicians. METHODS: This prospective, observational study collected interruptions during attending physician shifts. An interruption is defined as any break in performance of a human activity that briefly requires attention. One observer captured interruptions using a validated tablet PC-based tool that time stamped and categorized the data. Data collected included: 1) type, 2) priority of interruption to original task, and 3) physical location of the interruption. A Kruskal-Wallis H test compared interruption priority and duration. A chi-squared analysis examined the priority of interruptions in and outside of the patient rooms. RESULTS: A total of 2355 interruptions were identified across 210 clinical hours and 28 shifts (means = 84.1 interruptions per shift, standard deviation = 14.5; means = 11.21 interruptions per hour, standard deviation = 4.45). Physicians experienced face-to-face physician interruptions most frequently (26.0%), followed by face-to-face nurse communication (21.7%), and environment (20.8%). There was a statistically significant difference in interruption duration based on the interruption priority, χ2(2) = 643.98, p < 0.001, where durations increased as priority increased. Whereas medium/normal interruptions accounted for 53.6% of the total interruptions, 53% of the interruptions that occurred in the patient room (n = 162/308) were considered low priority (χ2 [2, n = 2355] = 78.43, p < 0.001). CONCLUSIONS: Our study examined interruptions over entire provider shifts and identified patient rooms as high risk for low-priority interruptions. Targeting provider-centered interventions to patient rooms may aid in mitigating the impacts of interruptions on patient safety and enhancing clinical care.

Intelligent Emergency Department: Validation of Sociometers to Study Workload.

Sociometers are wearable sensors that continuously measure body movements, interactions, and speech. The purpose of this study is to test sociometers in a smart environment in a live clinical setting, to assess their reliability in capturing and quantifying data. The long-term goal of this work is to create an intelligent emergency department that captures real-time human interactions using sociometers to sense current system dynamics, predict future state, and continuously learn to enable the highest levels of emergency care delivery. Ten actors wore the devices during five simulated scenarios in the emergency care wards at a large non-profit medical institution. For each scenario, actors recited prewritten or structured dialogue while independent variables, e.g., distance, angle, obstructions, speech behavior, were independently controlled. Data streams from the sociometers were compared to gold standard video and audio data captured by two ward and hallway cameras. Sociometers distinguished body movement differences in mean angular velocity between individuals sitting, standing, walking intermittently, and walking continuously. Face-to-face (F2F) interactions were not detected when individuals were offset by 30°, 60°, and 180° angles. Under ideal F2F conditions, interactions were detected 50 % of the time (4/8 actor pairs). Proximity between individuals was detected for 13/15 actor pairs. Devices underestimated the mean duration of speech by 30-44 s, but were effective at distinguishing the dominant speaker. The results inform engineers to refine sociometers and provide health system researchers a tool for quantifying the dynamics and behaviors in complex and unpredictable healthcare environments such as emergency care.

Surgical never events and contributing human factors.

INTRODUCTION: We report the first prospective analysis of human factors elements contributing to invasive procedural never events by using a validated Human Factors Analysis and Classification System (HFACS). METHODS: From August 2009 to August 2014, operative and invasive procedural "Never Events" (retained foreign object, wrong site/side procedure, wrong implant, wrong procedure) underwent systematic causation analysis promptly after the event. Contributing human factors were categorized using the 4 levels of error causation described by Reason and 161 HFACS subcategories (nano-codes). RESULTS: During the study, approximately 1.5 million procedures were performed, during which 69 never events were identified. A total of 628 contributing human factors nano-codes were identified. Action-based errors (n = 260) and preconditions to actions (n = 296) accounted for the majority of the nano-codes across all 4 types of events, with individual cognitive factors contributing one half of the nano-codes. The most common action nano-codes were confirmation bias (n = 36) and failed to understand (n = 36). The most common precondition nano-codes were channeled attention on a single issue (n = 33) and inadequate communication (n = 30). CONCLUSION: Targeting quality and interventions in system improvement addressing cognitive factors and team resource management as well as perceptual biases may decrease errors and further improve patient safety. These results delineate targets to further decrease never events from our health care system.

A human factors subsystems approach to trauma care.

IMPORTANCE: A physician-centered approach to systems design is fundamental to ameliorating the causes of many errors, inefficiencies, and reliability problems. OBJECTIVE: To use human factors engineering to redesign the trauma process based on previously identified impediments to care related to coordination problems, communication failures, and equipment issues. DESIGN, SETTING, AND PARTICIPANTS: This study used an interrupted time series design to collect historically controlled data via prospective direct observation by trained observers. We studied patients from a level I trauma center from August 1 through October 31, 2011, and August 1 through October 31, 2012. INTERVENTIONS: A range of potential solutions based on previous observations, trauma team engagement, and iterative cycles identified the most promising subsystem interventions (headsets, equipment storage, medication packs, whiteboard, prebriefing, and teamwork training). Five of the 6 subsystem interventions were successfully deployed. Communication headsets were found to be unsuitable in simulation. MAIN OUTCOMES AND MEASURES: The primary outcome measure was flow disruptions, with treatment time and length of stay as secondary outcome measures. RESULTS: A total of 86 patients were observed before the intervention and 120 after the intervention. Flow disruptions increased if the patient had undergone computed tomography (CT) (F1200 = 20.0, P < .001) and had been to the operating room (F1200 = 63.1, P < .001), with an interaction among the intervention, trauma level, and CT (F1200 = 6.50, P = .01). For total treatment time, there was an effect of the intervention (F1200 = 21.7, P < .001), whether the patient had undergone CT (F1200 = 43.0, P < .001), and whether the patient had been to the operating room (F1200 = 85.8, P < .001), with an interaction among the intervention, trauma level, and CT (F1200 = 15.1, P < .001), reflecting a 20- to 30-minute reduction in time in the emergency department. Length of stay was reduced significantly for patients with major mortality risk (P = .01) from a median of 8 to 5 days. CONCLUSIONS AND RELEVANCE: Deployment of complex subsystem interventions based on detailed human factors engineering and a systems analysis of the provision of trauma care resulted in reduced flow disruptions, treatment time, and length of stay.

Flow disruptions during trauma care.

BACKGROUND: Flow disruptions (FDs) are deviations from the progression of care that compromise safety or efficiency. The frequency and specific causes of FDs remain poorly documented in trauma care. We undertook this study to identify and quantify the rate of FDs during various phases of trauma care. METHODS: Seven trained observers studied a Level I trauma center over 2 months. Observers recorded details on FDs using a validated Tablet-PC data collection tool during various phases of care-trauma bay, imaging, operating room (OR)-and recorded work-system variables including breakdowns in communication and coordination, environmental distractions, equipment issues, and patient factors. RESULTS: Researchers observed 86 trauma cases including 72 low-level and 14 high-level activations. Altogether, 1,759 FDs were recorded (20.4/case). High-level trauma comprised a significantly higher number (p = 0.0003) and rate of FDs (p = 0.0158) than low-level trauma. Across the three phases of trauma care, there was a significant effect on FD number (p < 0.0001) and FD rate (p = 0.0005), with the highest in the OR, followed by computed tomography. The highest rates of FD per case and per hour were related to breakdowns in coordination. CONCLUSIONS: This study is the largest direct observational study of the trauma process conducted to date. Complexities associated with the critical patient who arrives in the trauma bay lead to a high prevalence of disruptions related to breakdowns in coordination, communication, equipment issues, and environmental factors. Prospective observation allows individual hospitals to identify and analyze these systemic deficiencies. Appropriate interventions can then be evaluated to streamline the care provided to trauma patients.

Barriers to trauma patient care associated with CT scanning.

BACKGROUND: Trauma care is often delivered to unstable patients with incomplete medical histories, under time pressure, and with a need for multidisciplinary collaboration. Trauma patient flow through radiology is particularly prone to deviations from optimal care. A better understanding of this process could reduce errors and improve quality, flow, and patient outcomes. STUDY DESIGN: Disruptions to the flow of trauma care during trauma activations were observed over a 10-week period at a level I trauma center. Using a validated data collection tool, the type, nature, and impact of disruptions to the care process were recorded. Two physicians unaffiliated with the study conducted a post hoc, blinded review of the flow disruptions and assigned a clinical impact score to each. RESULTS: There were 581 flow disruptions observed during the radiologic care of 76 trauma patients. An average of 30.5 minutes (95% CI, 27-34; median, 29; interquartile range, 20-38) was spent in the CT scanner, with a mean of 14.5 flow disruptions per hour (95% CI, 11.8-17.2). Coordination problems (34%), communication failures (19%), interruptions (13%), patient-related factors (12%), and equipment issues (8%) were the most frequent disruption types. Flow disruptions with the highest clinical impact were generally related to patient movements while in the scanner, problems with ordering systems, equipment unavailability, and ineffective teamwork. CONCLUSIONS: Although flow disruptions cannot be eliminated completely, specific targeted interventions are available to address the issues identified.

Flow disruptions in trauma care handoffs.

BACKGROUND: Effective handoffs of care are critical for maintaining patient safety and avoiding communication problems. Using the flow disruption observation technique, we examined transitions of care along the trauma pathway. We hypothesized that more transitions would lead to more disruptions, and that different pathways would have different numbers of disruptions. METHODS: We trained observers to identify flow disruptions, and then followed 181 patients from arrival in the emergency department (ED) to the completion of care using a specially formatted PC tablet. We mapped each patient's journey and recorded and classified flow disruptions during transition periods into seven categories. RESULTS: Mapping the transitions of care shows that approximately four of five patients were assessed in the ED, transferred to imaging for further diagnostics, and then returned to the ED. There was a mean of 2.2 ± 0.09 transitions per patient, a mean of 0.66 ± 0.15 flow disruptions per patient, and 0.31 ± 0.07 flow disruptions per transition. Most of these (53%) were related to coordination problems. Although disruptions did not rise with more transitions, patients who went directly to the operating room or needed direct admission to intensive care unit were significantly more likely (P=0.0028) to experience flow disruptions than those who took other, less expedited pathways. CONCLUSIONS: Transitions in trauma care are vulnerable to systems problems and human errors. Coordination problems predominate as the cause. Sicker, time-pressured, and more at-risk patients are more likely to experience problems. Safety practices used in motor racing and other industries might be applied to address these problems.