Perioperative Handoff Enhancement Opportunities Through Technology and Artificial Intelligence: A Narrative Review.

BACKGROUND: Perioperative handoffs occur as patients progress through preoperative, intraoperative, and postoperative phases of care. These may occur between clinicians from the same or different role groups, between different care units, for brief breaks during the course of a surgery, or at shift or service changes. Perioperative handoffs occur during a period of increased vulnerability, as teams must convey critical information at a time of high cognitive load, with many potential distractions. METHODS: A search of MEDLINE was conducted for biomedical literature pertaining to perioperative handoffs and technology, electronic tools, and artificial intelligence. The reference lists of identified articles were reviewed, and additional citations were included if relevant. These articles were abstracted to summarize the current literature, and to frame the opportunity for enhanced opportunities to improve perioperative handoffs through technology and artificial intelligence. RESULTS: Several efforts to date have incorporated electronic tools to improve perioperative handoffs but have been limited by imprecision in selecting handoff elements, increased task burden for clinicians, interrupted workflows, physical barriers, and lack of institutional support for their implementation. At the same time, artificial intelligence (AI) and machine learning (ML) are being applied across healthcare, but their use in and integration into handoff workflows have not yet been studied. Use of existing technology including mobile applications, barcode scanners, and radio-frequency identification (RFID) tags to advance perioperative safety has only begun and similarly has not been applied to handoffs. CONCLUSION: In this narrative review, we synthesize prior research on electronic tools for perioperative handoffs, limitations of current tools and barriers to their implementation, and the use of AI and ML in perioperative care. We then discuss potential opportunities to further integrate healthcare technologies and apply AI-derived solutions in the concept of a "smart handoff" with the aim of reducing harm from handoffs and improving patient safety.

Measurement of Information Transfer During Simulated Sequential Complete Shift-to-Shift Intraoperative Handoffs.

Objective: To determine information transfer during simulated shift-to-shift intraoperative anesthesia handoffs and the benefits of using a handoff tool. Patients and Methods: Anesthesiology residents and faculty participating in simulation-based education in a simulation center on April 6 and 20, 2017, and April 11 and 25, 2019. We used a fixed clinical scenario to compare information transfer in multiple sequential simulated handoff chains conducted from memory or guided by an electronic medical record generated tool. For each handoff, 25 informational elements were assessed on a discrete 0-2 scale generating a possible information retention score of 50. Time to handoff completion and number of clarifications requested by the receiver were also determined. Results: We assessed 32 handoff chains with up to 4 handoffs per chain. When both groups were combined, the mean information retention score was 31 of 50 (P<.001) for the first clinician and declined by an average of 4 points per handoff (P<.001). The handoff tool improved information retention by almost 7 points (P=.002), but did not affect the rate of information degradation (P=.38). Handoff time remained constant for the intervention group (P=.67), but declined by 2 minutes/handoff (P<.001) in the control group, which required 7 more clarifications/handoff (P=.003). In the control group, 7 of 16 (44%) handoff chains contained one or more information retention scores below the lowest score of the entire intervention group (P=.007). Conclusion: Clinical handoffs are accompanied by degradation of information that is only partially reduced by use of a handoff tool, which appears to prevent extremes of information degradation.

A Collaborative Partnership between the Multicenter Handoff Collaborative and an Electronic Health Record Vendor.

OBJECTIVES: The operating room is a specialized, complex environment with many factors that can impede effective communication during transitions of care between anesthesia clinicians. We postulated that an efficient, accessible, standardized tool for intraoperative handoffs built into standard workflow would improve communication and handoff safety. Most institutions now use an electronic health record (EHR) system for patient care and have independently designed intraoperative handoff tools, but these home-grown tools are not scalable to other organizations and lack vendor-supported features. The goal of this project was to create a standardized, intraoperative handoff tool supported by EHR functionality. METHODS: The Multicenter Handoff Collaborative, with support from the Anesthesia Patient Safety Foundation, created a working group of frontline anesthesia experts to collaborate with a development team from the EHR vendor (Epic Systems) to design a standardized intraoperative handoff tool. Over 2 years, the working group identified the critical elements for the tool and software usability, and the EHR team designed a standardized intraoperative handoff tool that is accessible to any institution using this EHR. RESULTS: The first iteration of the intraoperative handoff tool was released in August 2019, with a second version in February 2020. The tool is standardized but customizable by individual institutions. CONCLUSION: We demonstrate that work on complex health care processes critical to patient safety, such as handoffs, can be performed on a national scale through cross-industry collaboration. Frontline experts can partner with health care industry vendors to design, build, and release a product on an accelerated timeline.

Handoffs and transitions in critical care-understanding scalability: study protocol for a multicenter stepped wedge type 2 hybrid effectiveness-implementation trial.

BACKGROUND: The implementation of evidence-based practices in critical care faces specific challenges, including intense time pressure and patient acuity. These challenges result in evidence-to-practice gaps that diminish the impact of proven-effective interventions for patients requiring intensive care unit support. Research is needed to understand and address implementation determinants in critical care settings. METHODS: The Handoffs and Transitions in Critical Care-Understanding Scalability (HATRICC-US) study is a Type 2 hybrid effectiveness-implementation trial of standardized operating room (OR) to intensive care unit (ICU) handoffs. This mixed methods study will use a stepped wedge design with randomized roll out to test the effectiveness of a customized protocol for structuring communication between clinicians in the OR and the ICU. The study will be conducted in twelve ICUs (10 adult, 2 pediatric) based in five United States academic health systems. Contextual inquiry incorporating implementation science, systems engineering, and human factors engineering approaches will guide both protocol customization and identification of protocol implementation determinants. Implementation mapping will be used to select appropriate implementation strategies for each setting. Human-centered design will be used to create a digital toolkit for dissemination of study findings. The primary implementation outcome will be fidelity to the customized handoff protocol (unit of analysis: handoff). The primary effectiveness outcome will be a composite measure of new-onset organ failure cases (unit of analysis: ICU). DISCUSSION: The HATRICC-US study will customize, implement, and evaluate standardized procedures for OR to ICU handoffs in a heterogenous group of United States academic medical center intensive care units. Findings from this study have the potential to improve postsurgical communication, decrease adverse clinical outcomes, and inform the implementation of other evidence-based practices in critical care settings. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04571749 . Date of registration: October 1, 2020.

Engaging the Front Line: Tapping into Hospital-Wide Quality and Safety Initiatives.

Healthcare increasingly is moving from volume- to value-based care, with an emphasis on linking a larger percentage of payments to the quality of care provided. There is a renewed interest in designing a focused, strategic approach to quality and safety education and engagement of trainees in hospital-wide quality, safety, and patient experience initiatives. Hospitals, trainees, and patients benefit as a result of engaging frontline learners in these activities. Hospitals can leverage the intelligence from the front line to contribute to improved hospital safety, increased employee and patient engagement, and better identification of vulnerable areas of safety risks. Trainees benefit from increased engagement by acquiring fundamentals in quality and safety; are able to satisfy Clinical Learning Environment Review recommendations; have an opportunity to practice a number of skill sets (leadership, communication, collaboration); and complete quality and safety hands-on projects. Patients benefit from a more engaged work force, safer environment for their healthcare, and an improved overall experience. In this article, the current state of the Johns Hopkins Department of Anesthesiology and Critical Care Medicine's efforts to engage its front line in quality, safety, and patient experience initiatives that are in evolutionary phases of implementation is presented. Evolutionary concepts relate to the Johns Hopkins Health System and the aim of its training program to continuously improve and innovate.