Development and implementation of an integrated mobile situational awareness iPhone application VigiVUTM at an academic medical center

Digital Preoperative Huddle Platform Use Leads to Decreased Surgical Cost

BACKGROUND AND OBJECTIVES

Communication has a well-established effect on improving outcomes. The current study evaluated the effect of multidisciplinary preoperative team communication using a digital huddle software platform on operating room costs.

METHODS

A digital huddle software platform was implemented in March 2022 for neurosurgical procedures performed at a single tertiary care center. Surgeons were encouraged, but not required, to participate. General linear models were used to test the association between participation and the difference in supply-related cost and case length, using intergroup comparison and historical controls.

RESULTS

A total of 29626 cases (performed by 97 surgeons), conducted between March 2021 and June 2023, were included in our analysis. Cases from participating neurosurgeons (12 surgeons, 4064 cases) were compared with cases from nonparticipating neurosurgeons (6 surgeons, 2452 cases), non-neurosurgery cases carried out by the same operating room staff (20 orthopedic spine surgeons, 6073 cases), and non-neurosurgery cases performed in a different operating room unit (59 surgeons, 21 996 cases). In aggregate, operating room (OR) costs increased by 7.3% (95% CI: 0.9-14.1, P = .025) in the postintervention period. In the same period, participation in the digital huddle platform was associated with an OR utilization and supply-related cost decrease of 16.3% (95% CI: 8.3%-23.6%, P < .001). Among neurosurgeons specifically, participation was associated with a supply-related cost decrease of 17.5% (95% CI: 6.0%-27.5%, P = .0037). There was no change in case length (median case length 171 minutes, change: +2.7% increase, 95% CI:-2.2%-7.9%, P = .28).

CONCLUSION

The implementation of a digital huddle software platform resulted in an OR utilization and supply cost decrease among participants during a period when the overall nonparticipating control cohort experienced an increase in cost.

Mobile Applications in Clinical and Perioperative Care for Anesthesia: Narrative Review

BACKGROUND

The increasing use of smartphones by providers and patients alike demonstrates that digital health utilizing mobile applications has the potential to transform perioperative care and education in anesthesia.

OBJECTIVE

This literature review describes the current scope of the use of mobile applications in anesthesiology.

METHODS

Literature was searched using PubMed, Scopus, and clinicaltrials.gov for articles published from January 1, 2010, through April 1, 2020. Only English language studies were included. Articles were included if they examined the use of a mobile health application in the setting of anesthesia or the perioperative (immediate preoperative, intraoperative, and postoperative) period. Studies were excluded if they explored video interventions or did not examine the feasibility or efficacy of the mobile app.

RESULTS

We included 29 articles, and three areas of clinical functionality were identified: patient-centered care (preoperative, intraoperative, and postoperative), systems-based improvement, and medical education. Several studies demonstrate the feasibility and reliability of mobile apps in these areas, but many are only tested for efficacy in simulated environments or with small patient samples.

CONCLUSIONS

Mobile health applications show promise in improving communication between anesthesiologists, improving workflow efficiency, enhancing medical education, and reducing hospital costs. However, there is a need for validation and improvement before full implementation by the provider, patients, and hospital systems. Future studies are needed to demonstrate meaningful health outcomes to create guidelines and recommendations specific to the application of mobile technology to health care.

Anesthesia in the modern world of apps and technology: Implications and impact on wellness

Recent decades have seen an unprecedented leap in digital innovation, with far-reaching implications in healthcare. Anesthesiologists have historically championed the adoption of new technologies. However, the rapid evolution of these technologies has outpaced attempts at studying their potential impact on healthcare providers' well-being. This document introduces several categories of workplace technologies commonly encountered by the anesthesiologist. We examine examples of novel technology and the impact of these digital interventions on the anesthesiologist's well-being. We also review popular personalized technology aimed at improving wellness and the impact on well-being examined. Finally, technology acceptance models are introduced to improve technology adoption, which, when appropriately applied, may minimize the negative impacts of technology on anesthesiologists' well-being. Incorporating quantitative, serial assessments of well-being as part of technology implementation are proposed as a future direction for examining the wellness impact of technology on anesthesiologists.

The impact of mobile technology on teamwork and communication in hospitals: a systematic review

OBJECTIVES

Effective communication is critical to the safe delivery of care but is characterized by outdated technologies. Mobile technology has the potential to transform communication and teamwork but the evidence is currently uncertain. The objective of this systematic review was to summarize the quality and breadth of evidence for the impact of mobile technologies on communication and teamwork in hospitals.

MATERIALS AND METHODS

Electronic databases (MEDLINE, PsycINFO, EMBASE, CINAHL Plus, HMIC, Cochrane Library, and National Institute of Health Research Health Technology Assessment) were searched for English language publications reporting communication- or teamwork-related outcomes from mobile technologies in the hospital setting between 2007 and 2017.

RESULTS

We identified 38 publications originating from 30 studies. Only 11% were of high quality and none met best practice guidelines for mobile-technology-based trials. The studies reported a heterogenous range of quantitative, qualitative, and mixed-methods outcomes. There is a lack of high-quality evidence, but nonetheless mobile technology can lead to improvements in workflow, strengthen the quality and efficiency of communication, and enhance accessibility and interteam relationships.

DISCUSSION

This review describes the potential benefits that mobile technology can deliver and that mobile technology is ubiquitous among healthcare professionals. Crucially, it highlights the paucity of high-quality evidence for its effectiveness and identifies common barriers to widespread uptake. Limitations include the limited number of participants and a wide variability in methods and reported outcomes.

CONCLUSION

Evidence suggests that mobile technology has the potential to significantly improve communication and teamwork in hospital provided key organizational, technological, and security challenges are tackled and better evidence delivered.

An Interdisciplinary Review of Surgical Data Recording Technology Features and Legal Considerations

Surgical data recording technology has great promise to generate patient safety and quality data that can be utilized to potentially reduce medical errors. Variations of these systems aim to improve surgical technique, develop better training simulation, and promote adverse event investigation similar to the aims of black box technology utilized in other industries. However, many unknowns remain for surgical data recording utilization in operating rooms and clinical settings in the United States. This includes the need to appropriately design systems so they collect meaningful and useful data that can be discussed by surgical team members in an open and safe environment to optimize clinical care processes. In order to better understand the clinical and regulatory environment for surgical data recording systems, we conducted an interdisciplinary review to identify key technology approaches, and assess legal and regulatory implications associated with this potentially disruptive technology. We found technology ranging from audio and visual data, to systems utilizing mobile applications, and kinematic data capture. The data collected present legal questions over ownership of information and privacy, along with regulatory issues at the federal and state levels. The benefits of these data should be balanced with the need to develop appropriate policies and regulations that protect the interests of both clinicians and patients in order to encourage further innovation and better realize the potential of surgical data recording technology to improve clinical decision making and patient safety outcomes.

Development and Implementation of the Portable Operating Room Tracker App With Vital Signs Streaming Infrastructure: Operational Feasibility Study

Background

In the perioperative environment, a multidisciplinary clinical team continually observes and evaluates patient information. However, data availability may be restricted to certain locations, cognitive workload may be high, and team communication may be constrained by availability and priorities. We developed the remote Portable Operating Room Tracker app (the telePORT app) to improve information exchange and communication between anesthesia team members. The telePORT app combines a real-time feed of waveforms and vital signs from the operating rooms with messaging, help request, and reminder features.

Objective

The aim of this paper is to describe the development of the app and the back-end infrastructure required to extract monitoring data, facilitate data exchange and ensure privacy and safety, which includes results from clinical feasibility testing.

Methods

telePORT’s client user interface was developed using user-centered design principles and workflow observations. The server architecture involves network-based data extraction and data processing. Baseline user workload was assessed using step counters and communication logs. Clinical feasibility testing analyzed device usage over 11 months.

Results

telePORT was more commonly used for help requests (approximately 4.5/day) than messaging between team members (approximately 1/day). Passive operating room monitoring was frequently utilized (34% of screen visits). Intermittent loss of wireless connectivity was a major barrier to adoption (decline of 0.3%/day).

Conclusions

The underlying server infrastructure was repurposed for real-time streaming of vital signs and their collection for research and quality improvement. Day-to-day activities of the anesthesia team can be supported by a mobile app that integrates real-time data from all operating rooms.

Assessing operating room turnover time via the use of mobile application

BACKGROUND

Improving operating room (OR) utilization is crucial to hospitals. This study examines the effectiveness of a mobile application co-developed with hospital staff to track OR turnover time (TOT).

METHODS

An Android-based app, named ORTimer, was used by staff in two OR units (GI-Lab and D-Core) of Greenville Memorial Hospital (GMH) in South Carolina. The staff used the app to record milestones and note delay reasons (if applicable). A total of 1,782 turnover observations from the GI-Lab and 694 turnover observations from the D-Core were collected for the study. Using data collected from the app and additional information from GMH's electronic medical record system, a two-sample proportionality test was conducted to test the hypothesis that the use of the app improved OR turnover performance (i.e., the TOT is equal to or less than the allotted time).

RESULTS

The result of the hypothesis test indicates that a higher percentage of observations in the GI-Lab and D-Core met their turnover target time when the ORTimer app was used. Additionally, multiple regression analysis was used to identify significant factors that contribute to prolonged OR TOT and to estimate their impacts.

CONCLUSIONS

The app serves as both a visual management tool as well as a TOT data collection tool. By identifying barriers to the on-time completion of the turnaround, the app allows for continuous improvement of the turnover process.

A Perioperative Systems Design to Improve Intraoperative Glucose Monitoring Is Associated with a Reduction in Surgical Site Infections in a Diabetic Patient Population

BACKGROUND

Diabetic patients receiving insulin should have periodic intraoperative glucose measurement. The authors conducted a care redesign effort to improve intraoperative glucose monitoring.

METHODS

With approval from Vanderbilt University Human Research Protection Program (Nashville, Tennessee), the authors created an automatic system to identify diabetic patients, detect insulin administration, check for recent glucose measurement, and remind clinicians to check intraoperative glucose. Interrupted time series and propensity score matching were used to quantify pre- and postintervention impact on outcomes. Chi-square/likelihood ratio tests were used to compare surgical site infections at patient follow-up.

RESULTS

The authors analyzed 15,895 cases (3,994 preintervention and 11,901 postintervention; similar patient characteristics between groups). Intraoperative glucose monitoring rose from 61.6 to 87.3% in cases after intervention (P = 0.0001). Recovery room entry hyperglycemia (fraction of initial postoperative glucose readings greater than 250) fell from 11.0 to 7.2% after intervention (P = 0.0019), while hypoglycemia (fraction of initial postoperative glucose readings less than 75) was unchanged (0.6 vs. 0.9%; P = 0.2155). Eighty-seven percent of patients had follow-up care. After intervention the unadjusted surgical site infection rate fell from 1.5 to 1.0% (P = 0.0061), a 55.4% relative risk reduction. Interrupted time series analysis confirmed a statistically significant surgical site infection rate reduction (P = 0.01). Propensity score matching to adjust for confounders generated a cohort of 7,604 well-matched patients and confirmed a statistically significant surgical site infection rate reduction (P = 0.02).

CONCLUSIONS

Anesthesiologists add healthcare value by improving perioperative systems. The authors leveraged the one-time cost of programming to improve reliability of intraoperative glucose management and observed improved glucose monitoring, increased insulin administration, reduced recovery room hyperglycemia, and fewer surgical site infections. Their analysis is limited by its applied quasiexperimental design.

Electronically Mediated Time-out Initiative to Reduce the Incidence of Wrong Surgery

Background

“Wrong surgery” is defined as wrong site, wrong operation, or wrong patient, with estimated incidence up to 1 per 5,000 cases. Responding to national attention on wrong surgery, our objective was to create a care redesign intervention to minimize the rate of wrong surgery.

Methods

The authors created an electronic system using existing intraoperative electronic documentation to present a time-out checklist on large in-room displays. Time-out was dynamically interposed as a forced-function documentation step between “patient-in-operating room” and “incision.” Time to complete documentation was obtained from audit logs. The authors measured the postimplementation wrong surgery rate and used Bayesian methods to compare the pre- and postimplementation rates at our institution. Previous probabilities were selected using wrong surgery rate estimates from the observed performance reported in the literature to generate previous probabilities (4.24 wrong surgeries per 100,000 cases).

Results

No documentation times exceeded 5 min; 97% of documentation tasks were completed within 2 min. The authors performed 243,939 operations over 5 yr using the system, with zero wrong surgeries, compared with 253,838 operations over 6 yr with two wrong surgeries before implementation. Bayesian analysis suggests an 84% probability that the postimplementation wrong rate is lower than baseline. However, given the rarity of wrong surgery in our sample, there is substantial uncertainty. The total system-development cost was $34,000, roughly half the published cost of one weighted median settlement for wrong surgery.

Conclusion

Implementation of a forced-completion electronically mediated time-out process before incision is feasible, but it is unclear whether true performance improvements occur.

Data, Big Data, and Metadata in Anesthesiology

The last decade has seen an explosion in the growth of digital data. Since 2005, the total amount of digital data created or replicated on all platforms and devices has been doubling every 2 years, from an estimated 132 exabytes (132 billion gigabytes) in 2005 to 4.4 zettabytes (4.4 trillion gigabytes) in 2013, and a projected 44 zettabytes (44 trillion gigabytes) in 2020. This growth has been driven in large part by the rise of social media along with more powerful and connected mobile devices, with an estimated 75% of information in the digital universe generated by individuals rather than entities. Transactions and communications including payments, instant messages, Web searches, social media updates, and online posts are all becoming part of a vast pool of data that live "in the cloud" on clusters of servers located in remote data centers. The amount of accumulating data has become so large that it has given rise to the term Big Data. In many ways, Big Data is just a buzzword, a phrase that is often misunderstood and misused to describe any sort of data, no matter the size or complexity. However, there is truth to the assertion that some data sets truly require new management and analysis techniques.

Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports

In this review article, we address issues related to using data from anesthesia information management systems (AIMS) to deliver near real-time alerts via AIMS workstation popups and/or alphanumeric pagers and post hoc reports via e-mail. We focus on reports and alerts for influencing the behavior of anesthesia providers (i.e., anesthesiologists, anesthesia residents, and nurse anesthetists). Multiple studies have shown that anesthesia clinical decision support (CDS) improves adherence to protocols and increases financial performance through facilitation of billing, regulatory, and compliance documentation; however, improved clinical outcomes have not been demonstrated. We inform developers and users of feedback systems about the multitude of concerns to consider during development and implementation of CDS to increase its effectiveness and to mitigate its potentially disruptive aspects. We discuss the timing and modalities used to deliver messages, implications of outlier-only versus individualized feedback, the need to consider possible unintended consequences of such feedback, regulations, sustainability, and portability among systems. We discuss statistical issues related to the appropriate evaluation of CDS efficacy. We provide a systematic review of the published literature (indexed in PubMed) of anesthesia CDS and offer 2 case studies of CDS interventions using AIMS data from our own institution illustrating the salient points. Because of the considerable expense and complexity of maintaining near real-time CDS systems, as compared with providing individual reports via e-mail after the fact, we suggest that if the same goal can be accomplished via delayed reporting versus immediate feedback, the former approach is preferable. Nevertheless, some processes require near real-time alerts to produce the desired improvement. Post hoc e-mail reporting from enterprise-wide electronic health record systems is straightforward and can be accomplished using system-independent pathways (e.g., via built-in e-mail support provided by the relational database management system). However, for some of these enterprise-wide systems, near real-time data access, necessary for CDS that generates concurrent alerts, has been challenging to implement.

Elective change of surgeon during the OR day has an operationally negligible impact on turnover time

STUDY OBJECTIVE

To compare turnover times for a series of elective cases with surgeons following themselves with turnover times for a series of previously scheduled elective procedures for which the succeeding surgeon differed from the preceding surgeon.

DESIGN

Retrospective cohort study.

SETTING

University-affiliated teaching hospital.

MEASUREMENTS

The operating room (OR) statistical database was accessed to gather 32 months of turnover data from a large academic institution. Turnover time data for the same-surgeon and surgeon-swap groups were batched by month to minimize autocorrelation and achieve data normalization. Two-way analysis of variance (ANOVA) using the monthly batched data was performed with surgeon swapping and changes in procedure category as variables of turnover time. Similar analyses were performed using individual surgical services, hourly time intervals during the surgical day, and turnover frequency per OR as additional covariates to surgeon swapping.

MAIN RESULTS

The mean (95% confidence interval [CI]) same-surgeon turnover time was 43.6 (43.2 - 44.0) minutes versus 51.0 (50.5 - 51.6) minutes for a planned surgeon swap (P < 0.0001). This resulted in a difference (95% CI) of 7.4 (6.8 - 8.1) minutes. The exact increase in turnover time was dependent on surgical service, change in subsequent procedure type, time of day when the turnover occurred, and turnover frequency.

CONCLUSIONS

The investigated institution averages 2.5 cases per OR per day. The cumulative additional turnover time (far less than one hour per OR per day) for switching surgeons definitely does not allow the addition of another elective procedure if the difference could be eliminated. A flexible scheduling policy allowing surgeon swapping rather than requiring full blocks incurs minimal additional staffed time during the OR day while allowing the schedule to be filled with available elective cases.

Communication latencies of Apple push notification messages relevant for delivery of time-critical information to anesthesia providers

BACKGROUND

Tablet computers and smart phones have gained popularity in anesthesia departments for educational and patient care purposes. VigiVU(™) is an iOS application developed at Vanderbilt University for remote viewing of perioperative information, including text message notifications delivered via the Apple Push Notification (APN) service. In this study, we assessed the reliability of the APN service.

METHODS

Custom software was written to send a message every minute to iOS devices (iPad(®), iPod Touch(®), and iPhone(®)) via wireless local area network (WLAN) and cellular pathways 24 hours a day over a 4-month period. Transmission and receipt times were recorded and batched by days, with latencies calculated as their differences. The mean, SEM, and the exact 95% upper confidence limits for the percent of days with ≥1 prolonged (>100 seconds) latency were calculated. Acceptable performance was defined as mean latency <30 seconds and ≤0.5% of latencies >100 seconds. Testing conditions included fixed locations of devices in high signal strength locations.

RESULTS

Mean latencies were <1 second for iPad and iPod devices (WLAN), and <4 seconds for iPhone (cellular). Among >173,000 iPad and iPod latencies, none were >100 seconds. For iPhone latencies, 0.03% ± 0.01% were >100 seconds. The 95% upper confidence limits of days with ≥1 prolonged latency were 42% (iPhone) and 5% to 8% (iPad, iPod).

CONCLUSIONS

The APN service was reliable for all studied devices over WLAN and cellular pathways, and performance was better than third party paging systems using Internet connections previously investigated using the same criteria. However, since our study was a best-case assessment, testing is required at individual sites considering use of this technology for critical messaging. Furthermore, since the APN service may fail due to Internet or service provider disruptions, a backup paging system is recommended if the APN service were to be used for critical messaging.