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      Developing a highly‐reliable learning health system

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          Abstract

          Multiple independent frameworks to support continuous improvement have been proposed to guide healthcare organizations. Two of the most visible are High‐reliability Health care, (Chassin et al., 2013) which is emphasized by The Joint Commission, and Learning Health Systems, (Institute of Medicine, 2011) highlighted by the National Academy of Medicine. We propose that organizations consider tightly linking these two models, creating a “Highly‐reliable Learning Health System.” We describe several efforts at our organization that has resulted from this combined model and have helped our organization weather the COVID‐19 pandemic. The organizational changes created using this framework will enable our health system to support a culture of quality across our teams and better fulfill our tripartite mission of high‐quality care, effective education of trainees, and dissemination of important innovations.

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          Rapid Response to COVID-19: Health Informatics Support for Outbreak Management in an Academic Health System

          ABSTRACT Objective To describe the implementation of technological support important for optimizing clinical management of the COVID-19 pandemic. Materials and Methods Our health system has confirmed prior and current cases of COVID-19. An Incident Command Center was established early in the crisis and helped identify electronic health record (EHR) based tools to support clinical care. Results We outline the design and implementation of EHR based rapid screening processes, laboratory testing, clinical decision support, reporting tools, and patient-facing technology related to COVID-19. Discussion The EHR is a useful tool to enable rapid deployment of standardized processes. UC San Diego Health built multiple COVID-19-specific tools to support outbreak management, including scripted triaging, electronic check-in, standard ordering and documentation, secure messaging, real-time data analytics, and telemedicine capabilities. Challenges included the need to frequently adjust build to meet rapidly evolving requirements, communication and adoption, and coordinating the needs of multiple stakeholders while maintaining high-quality, pre-pandemic medical care. Conclusion The EHR is an essential tool in supporting the clinical needs of a health system managing the COVID-19 pandemic.
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            High-Reliability Health Care: Getting There from Here

            Context Despite serious and widespread efforts to improve the quality of health care, many patients still suffer preventable harm every day. Hospitals find improvement difficult to sustain, and they suffer “project fatigue” because so many problems need attention. No hospitals or health systems have achieved consistent excellence throughout their institutions. High-reliability science is the study of organizations in industries like commercial aviation and nuclear power that operate under hazardous conditions while maintaining safety levels that are far better than those of health care. Adapting and applying the lessons of this science to health care offer the promise of enabling hospitals to reach levels of quality and safety that are comparable to those of the best high-reliability organizations. Methods We combined the Joint Commission's knowledge of health care organizations with knowledge from the published literature and from experts in high-reliability industries and leading safety scholars outside health care. We developed a conceptual and practical framework for assessing hospitals’ readiness for and progress toward high reliability. By iterative testing with hospital leaders, we refined the framework and, for each of its fourteen components, defined stages of maturity through which we believe hospitals must pass to reach high reliability. Findings We discovered that the ways that high-reliability organizations generate and maintain high levels of safety cannot be directly applied to today's hospitals. We defined a series of incremental changes that hospitals should undertake to progress toward high reliability. These changes involve the leadership's commitment to achieving zero patient harm, a fully functional culture of safety throughout the organization, and the widespread deployment of highly effective process improvement tools. Conclusions Hospitals can make substantial progress toward high reliability by undertaking several specific organizational change initiatives. Further research and practical experience will be necessary to determine the validity and effectiveness of this framework for high-reliability health care.
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              Resurgence of SARS-CoV-2 Infection in a Highly Vaccinated Health System Workforce

              To the Editor: In December 2020, the University of California San Diego Health (UCSDH) workforce experienced a dramatic increase in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Vaccination with mRNA vaccines began in mid-December 2020; by March, 76% of the workforce had been fully vaccinated, and by July, the percentage had risen to 87%. Infections had decreased dramatically by early February 2021. 1 Between March and June, fewer than 30 health care workers tested positive each month. However, coincident with the end of California’s mask mandate on June 15 and the rapid dominance of the B.1.617.2 (delta) variant that first emerged in mid-April and accounted for over 95% of UCSDH isolates by the end of July (Figure 1), infections increased rapidly, including cases among fully vaccinated persons. Institutional review board approval was obtained for use of administrative data on vaccinations and case-investigation data to examine mRNA SARS CoV-2 vaccine effectiveness. UCSDH has a low threshold for SARS-CoV-2 testing, which is triggered by the presence of at least one symptom during daily screening or by an identified exposure, regardless of vaccination status. From March 1 to July 31, 2021, a total of 227 UCSDH health care workers tested positive for SARS-CoV-2 by reverse-transcriptase–quantitative polymerase-chain-reaction (RT-qPCR) assay of nasal swabs; 130 of the 227 workers (57.3%) were fully vaccinated. Symptoms were present in 109 of the 130 fully vaccinated workers (83.8%) and in 80 of the 90 unvaccinated workers (88.9%). (The remaining 7 workers were only partially vaccinated.) No deaths were reported in either group; one unvaccinated person was hospitalized for SARS-CoV-2–related symptoms. Vaccine effectiveness was calculated for each month from March through July; the case definition was a positive PCR test and one or more symptoms among persons with no previous Covid-19 infection (see the Supplementary Appendix). Vaccine effectiveness exceeded 90% from March through June but fell to 65.5% (95% confidence interval [CI], 48.9 to 76.9) in July (Table 1). July case rates were analyzed according to the month in which workers with Covid-19 completed the vaccination series; in workers completing vaccination in January or February, the attack rate was 6.7 per 1000 persons (95% CI, 5.9 to 7.8), whereas the attack rate was 3.7 per 1000 persons (95% CI, 2.5 to 5.7) among those who completed vaccination during the period from March through May. Among unvaccinated persons, the July attack rate was 16.4 per 1000 persons (95% CI, 11.8 to 22.9). The SARS CoV-2 mRNA vaccines, BNT162b2 (Pfizer–BioNTech) and mRNA-1273 (Moderna), have previously shown efficacy rates of 95% and 94.1%, 2 respectively, in their initial clinical trials, and for the BNT162b2 vaccine, sustained, albeit slightly decreased effectiveness (84%) 4 months after the second dose. 3 In England, where an extended dosing interval of up to 12 weeks was used, Lopez Bernal et al. reported a preserved vaccine effectiveness of 88% against symptomatic disease associated with the delta variant. 4 As observed by others in populations that received mRNA vaccines according to standard Emergency Use Authorization intervals, 5 our data suggest that vaccine effectiveness against any symptomatic disease is considerably lower against the delta variant and may wane over time since vaccination. The dramatic change in vaccine effectiveness from June to July is likely to be due to both the emergence of the delta variant and waning immunity over time, compounded by the end of masking requirements in California and the resulting greater risk of exposure in the community. Our findings underline the importance of rapidly reinstating nonpharmaceutical interventions, such as indoor masking and intensive testing strategies, in addition to continued efforts to increase vaccinations, as strategies to prevent avoidable illness and deaths and to avoid mass disruptions to society during the spread of this formidable variant. Furthermore, if our findings on waning immunity are verified in other settings, booster doses may be indicated.
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                Author and article information

                Contributors
                clonghurst@health.ucsd.edu
                Journal
                Learn Health Syst
                Learn Health Syst
                10.1002/(ISSN)2379-6146
                LRH2
                Learning Health Systems
                John Wiley and Sons Inc. (Hoboken )
                2379-6146
                27 October 2022
                July 2023
                : 7
                : 3 ( doiID: 10.1002/lrh2.v7.3 )
                : e10351
                Affiliations
                [ 1 ] Department of Medicine UC San Diego Health San Diego California USA
                [ 2 ] Department of Biomedical Informatics UC San Diego Health San Diego California USA
                [ 3 ] Office of the Chief Medical Officer UC San Diego Health San Diego California USA
                [ 4 ] Office of the Vice Chancellor UC San Diego Health San Diego California USA
                [ 5 ] Office of the President and CEO Sanford Burnham Prebys Medical Discovery Institute La Jolla California USA
                Author notes
                [*] [* ] Correspondence

                Christopher A. Longhurst, UC San Diego School of Medicine, 9560 Towne Centre Drive, #8935 San Diego, CA 92121, USA.

                Email: clonghurst@ 123456health.ucsd.edu

                Author information
                https://orcid.org/0000-0003-3158-5681
                https://orcid.org/0000-0003-4908-6856
                Article
                LRH210351
                10.1002/lrh2.10351
                10336486
                37448457
                80f57639-04bd-4159-958f-cfd6de73144e
                © 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 11 October 2022
                : 20 July 2022
                : 16 October 2022
                Page count
                Figures: 2, Tables: 0, Pages: 4, Words: 2162
                Categories
                Commentary
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                Custom metadata
                2.0
                July 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.1 mode:remove_FC converted:12.07.2023

                clinical informatics,high reliability,learning health system

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