ACI open最新文献

{"title":"Enhancing Secure Messaging in Electronic Health Records: Evaluating the Impact of Emoji Chat Reactions on the Volume of Interruptive Notifications","authors":"John Will, William Small, Eduardo Iturrate, Paul Testa, Jonah Feldman","doi":"10.1055/s-0044-1788621","DOIUrl":"https://doi.org/10.1055/s-0044-1788621","url":null,"abstract":"\u0000 Background Electronic health record secure messaging (EHRSM) is an increasingly utilized tool for communication among clinicians. However, there is concern about the growing quantity of disruptions it presents via interruptive notification.\u0000 Objectives The primary aim of this study is to assess whether introducing emoji reactions, which do not trigger push notifications in EHRSM, can alleviate the burden of interruptive notifications. The second aim is to use messaging notification metadata to identify subgroups that might benefit from targeted interventions to aid the adoption of this innovation.\u0000 Methods We implemented the emoji reaction feature into EHRSM across a large academic health system. We evaluated the volume of push notifications 11 weeks before (pre-emoji period) and after (post-emoji period) introducing emoji reactions in EHRSM. Notification metadata was categorized by user type, and users were stratified based on notification volume.\u0000 Results There were 1,387,506 fewer push notifications in the post-emoji period (a decrease of 4.7%). Subgroups of users with increasing mean daily push notifications in the pre-emoji period were associated with decreasing mean daily push notifications in the post-emoji period. Among the eight user subgroups, six experienced a significant reduction in interruptive notifications, with the pharmacy and “other” subgroups not observing a reduction. Users in the top quartile of notification volume saw the greatest reduction in burden across each user subgroup.\u0000 Conclusion Integrating emoji reactions into EHRSM across a large academic health system significantly reduced the burden of push notifications among EHRSM users. Utilizing messaging notification metadata allowed us to identify subgroups that require additional intervention.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141838996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Electronic Health Record Mortality Data to Promote Goals-of-Care Discussions in Seriously Ill Transferred Patients: A Pilot Study","authors":"N. Mahendraker, Esmeralda Gutierrez-Asis, Seho Park, Linda S. Williams, Titus Schleyer, Elizabeth Umberfield","doi":"10.1055/s-0044-1788652","DOIUrl":"https://doi.org/10.1055/s-0044-1788652","url":null,"abstract":"\u0000 Background Mortality prediction data may aid in identifying seriously ill transferred patients at high risk of dying and facilitate early goals-of-care discussions (GOCD); however, this is rarely evaluated. We recently developed a model for predicting 30-day inpatient mortality, which may be useful for promoting early GOCD.\u0000 Objectives Our objectives were to examine the effects of sharing model-generated mortality risk with hospitalists by assessing (1) if hospitalists agreed with the mortality risk prediction, (2) if they planned to conduct GOCD or consult palliative care within 72 hours of transfer, and (3) if the communication alert affected GOCD timing and other clinical outcomes. We also aimed to measure the association between both the model-generated and hospitalists' stratified risk assessments with patient mortality.\u0000 Methods This was a nonrandomized quasi-experimental pilot study with a historical control group. On the second day of hospitalization, the model-generated risk was communicated to the hospitalists. Hospitalists were asked to answer questions via a HIPAA (Health Insurance Portability and Accountability Act)-compliant mobile communication system, and clinical outcomes were extracted via chart review.\u0000 Results Eighty-four patients (42 in the control and 42 in the intervention group) were included in this study. Hospitalists agreed that all patients in the intervention group were at risk for inpatient mortality. Hospitalists were more likely to indicate a plan to conduct GOCD in the intervention group (n = 9) compared with the control group (n = 4, p < 0.001). In this subset of patients, GOCD was completed within 72 hours in 78% of intervention patients (n = 7) as compared with 50% in the control group (n = 2). The greater absolute value of the model-generated mortality risk was significantly associated with deaths (p = 0.01), similar to the hospitalists' prediction of the mortality risk (p = 0.02).\u0000 Conclusion Communicating model-generated mortality risk to hospitalists is a promising approach to promote timely GOCD.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dealing with Diversity in Digital Psychological Interventions for Young People: A Structured Review","authors":"Farzad Jahedi, Paul W. Fay Henman, Jillian C. Ryan","doi":"10.1055/s-0044-1788563","DOIUrl":"https://doi.org/10.1055/s-0044-1788563","url":null,"abstract":"In recent years, despite significant progress in digital psychological interventions (DPIs), the prevalence of psychological issues among young adults remains a concern. While research on the feasibility and effectiveness of DPIs is extensive, there's a growing recognition of the need for a sociotechnical approach to enhance user engagement. This review aims to highlight the importance of integrating diversity, especially sociodemographic characteristics, into DPI design and implementation.The review meticulously examined literature from six academic databases focused on DPIs tailored for users aged 12 to 26, spanning the period between 2009 and 2019. The data extraction process specifically targeted biosocial factors such as gender and ethnicity, as well as sociocultural elements like remoteness and labor force status among users. Among the initial pool of 879 articles, a refined selection of 25 underwent detailed analysis. Intriguingly, 14 of these studies did not treat sociodemographic factors as independent variables, leaving only 11 that did. Notably, gender and ethnicity emerged as the most frequently studied factors, with remoteness and labor force considerations receiving comparatively less attention.Despite the acknowledged importance of user engagement in DPI effectiveness, the review highlights a critical gap: insufficient consideration of young adults' sociodemographic characteristics in intervention design and implementation. Therefore, the findings strongly support further mixed-method studies to fully understand the complex social factors influencing user engagement with DPIs. Closing this gap will undoubtedly refine and optimize DPIs to better meet the diverse needs of young adults dealing with psychological challenges.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141696377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking Patient Encounters across Primary and Ancillary Electronic Health Record Systems: A Comparison of Two Approaches.","authors":"Marcos A Davila, Evan T Sholle, Xiaobo Fuld, Mark L Israel, Curtis L Cole, Thomas R Campion","doi":"10.1055/s-0044-1782679","DOIUrl":"10.1055/s-0044-1782679","url":null,"abstract":"<p><strong>Background: </strong>To achieve scientific goals, researchers often require integration of data from a primary electronic health record (EHR) system and one or more ancillary EHR systems used during the same patient care encounter. Although studies have demonstrated approaches for linking patient identity records across different EHR systems, little is known about linking patient encounter records across primary and ancillary EHR systems.</p><p><strong>Objectives: </strong>We compared a patients-first approach versus an encounters-first approach for linking patient encounter records across multiple EHR systems.</p><p><strong>Methods: </strong>We conducted a retrospective observational study of 348,904 patients with 533,283 encounters from 2010 to 2020 across our institution's primary EHR system and an ancillary EHR system used in perioperative settings. For the patients-first approach and the encounters-first approach, we measured the number of patient and encounter links created as well as runtime.</p><p><strong>Results: </strong>While the patients-first approach linked 43% of patients and 49% of encounters, the encounters-first approach linked 98% of patients and 100% of encounters. The encounters-first approach was 20 times faster than the patients-first approach for linking patients and 33% slower for linking encounters.</p><p><strong>Conclusion: </strong>Findings suggest that common patient and encounter identifiers shared among EHR systems via automated interfaces may be clinically useful but not \"research-ready\" and thus require an encounters-first linkage approach to enable secondary use for scientific purposes. Based on our search, this study is among the first to demonstrate approaches for linking patient encounters across multiple EHR systems. Enterprise data warehouse for research efforts elsewhere may benefit from an encounters-first approach.</p>","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141065965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing Health Care Professionals' Perceptions of Frequent Drug–Drug Interaction Alerts","authors":"Yasmine Biady, Teresa Lee, Lily Pham, A. Patanwala, Simon Poon, A. Ritchie, Rosemary Burke, Jonathan Penm","doi":"10.1055/s-0044-1782534","DOIUrl":"https://doi.org/10.1055/s-0044-1782534","url":null,"abstract":"\u0000 Background Drug–drug interactions (DDIs) remain a highly prevalent issue for patients in both community and hospital settings. Electronic medication management systems have implemented DDI alerts to mitigate DDI-related harm from occurring.\u0000 Objectives The primary aim of this study was to explore factors that influence health care professionals' (hospital doctors, hospital pharmacists, general practitioners, and community pharmacists) perceptions and action taken by them in response to DDI alerts.\u0000 Methods A qualitative study was conducted using semi-structured interviews between early January and late February 2021. The top 20 most frequently triggered DDI alerts previously identified were used as examples of alert prompts shown to participants.\u0000 Results A total of 20 participants were recruited. General practitioners (n = 4) were most likely to consider DDI alerts to be clinically relevant and important, and hospital doctors (n = 4) were most likely to consider these alerts not being clinically relevant nor important. Three main factors were identified to influence health care professionals' perceptions of DDI alerts, which included clinical relevance, visual presentation, and content of alerts.\u0000 Conclusion Health care professionals' perceptions of DDI alerts are influenced by multiple factors and considerations are required to create tailored alerts for users and their clinical contexts. Improvement in DDI alerts should be a priority to improve patient medication safety and health outcomes.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"User-centered Design and Formative Evaluation of a Web Application to Collect and Visualize Real-time Clinician Well-being Levels","authors":"Derek Shu, Catherine T. Xu, Somya Pandey, Virginia Walls, Kristen Tenney, Abby Georgilis, Lisa Melink, Danny T.Y. Wu, Jennifer Molano","doi":"10.1055/s-0044-1779698","DOIUrl":"https://doi.org/10.1055/s-0044-1779698","url":null,"abstract":"\u0000 Background Clinician burnout is increasingly prevalent in the health care workplace. Hospital leadership needs an informatics tool to measure clinicians' well-being levels and provide empirical evidence to improve their work environment.\u0000 Objectives This study aimed to (1) design and implement a web-based application to collect and visualize clinicians' well-being levels and (2) conduct formative usability evaluation.\u0000 Methods Clinician and staff well-being champions guided the development of the Well-being Check application. User-centered design and Agile principles were used for incremental development of the app. The app included a customizable survey and an interactive visualization. The survey consisted of six standard, two optional, and three additional questions. The interactive visualization included various charts and word clouds with filters for drill-down analysis. The evaluation was done primarily with the rehabilitation (REHAB) team using data-centered approaches through historical survey data and qualitative coding of the free-text explanations and user-centered approaches through the System Usability Scale (SUS).\u0000 Results The evaluation showed that the app appropriately accommodated historical survey data from the REHAB team, enabling the comparison between self-assessed and perceived team well-being levels, and summarized key drivers based on the qualitative coding of the free-text explanations. Responses from the 23 REHAB team members showed an above-average score (SUS: 80.22), indicating high usability of the app.\u0000 Conclusion The Well-being Check app was developed in a user-centered manner and evaluated to demonstrate its effectiveness and usability. Future work includes iterative refinement of the app and designing a pre-poststudy using the app to measure the change in clinicians' well-being levels for quality improvement intervention.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140516992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Will the Doctor \"See\" You Now? The Development and Implementation of a Targeted Telemedicine System for Primary Care.","authors":"Jeremy A Epstein,&nbsp;Zoljargal Lkhagvajav,&nbsp;Tempest Young,&nbsp;Amanda Bertram,&nbsp;Hsin-Chieh Yeh,&nbsp;Casey Overby Taylor","doi":"10.1055/s-0043-1776038","DOIUrl":"https://doi.org/10.1055/s-0043-1776038","url":null,"abstract":"<p><strong>Objectives: </strong>The coronavirus disease 2019 (COVID-19) pandemic led to a rapid adoption of telehealth. For underserved populations lacking internet access, telemedicine was accomplished by phone rather than an audio-video connection. The latter is presumed a more effective form and better approximation of an in-person visit. We sought to provide a telehealth platform to overcome barriers for underserved groups to hold video visits with their health care providers and evaluate differences between the two telehealth modalities as assessed by physicians and patients.</p><p><strong>Methods: </strong>We designed a simplified tablet solution for video visits and piloted its use among patients who otherwise would have been completing audio-only visits. Patients consented to participation and were randomized in a 1:1 fashion to continue with their scheduled phone visit (control) versus being shipped a tablet to facilitate a video visit (intervention). Participants and providers completed communication and satisfaction surveys.</p><p><strong>Results: </strong>Tablet and connectivity design features included removal of all functions but for the telemedicine program, LTE always-on wireless internet connectivity, absence of external equipment (cords chargers and keyboard), and no registration with a digital portal. In total, 18 patients were enrolled. Intervention patients with video-enabled devices compared to control patients agreed more strongly that they were satisfied with their visits (4.75/5 vs. 3.75/5, <i>p</i> = 0.02).</p><p><strong>Conclusion: </strong>The delivered simplified tablet solution for video visits holds promise to improve access to video visits for underserved groups. Strategies to facilitate patient acceptance of devices are needed to expand the scope and potential impact of this effort.</p>","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comparison of Resident Procedure Logs to Data Generated from an Electronic Health Record","authors":"Moira E. Smith, Timothy A. Layng","doi":"10.1055/s-0043-1776895","DOIUrl":"https://doi.org/10.1055/s-0043-1776895","url":null,"abstract":"Abstract Background Emergency medicine (EM) residents are required to report procedural competency, often in a database separate from the electronic health record (EHR), in a redundant and time-consuming manner. We hypothesize that, if documented in an appropriate manner, procedural reports generated from an EHR reliably exceed those required by the Accreditation Council for Graduate Medical Education (ACGME) as well as those self-reported by EM residents. Objectives (1) To compare the number of medical resuscitations recorded in the EHR to the number documented by residents in a separate database. (2) To compare the number of medical resuscitations recorded in the EHR to the ACGME requirement for graduation. Methods Self-reported numbers of adult medical resuscitation by each resident of the previous three graduating classes of one EM program were compared with those generated from the EHR (Epic Systems, Verona, Wisconsin). There is no discrete documentation of medical resuscitations in the EHR. The ACGME describes a resuscitation as “…patient care for which prolonged physician attention is needed,” and thus, a surrogate was determined to be any patient for which the attending physician documented critical care time. Results Data generated from the EHR reliably exceeded reported (mean [M] = 165.78, standard deviation [SD] = 45.97) and required (M = 188.09, SD = 30.93) numbers for adult medical resuscitations for 100% of the residents of the past three graduating classes (n = 32). Conclusion In an accredited EM residency program that utilizes a modern EHR with a validated reporting functionality, residents should not need to redundantly log the number of adult medical resuscitations performed. Each resident in this study performed significantly more adult medical resuscitations than they logged and more than required by the ACGME, and thus, the time spent documenting these in a separate database was superfluous. Furthermore, this process increases resident awareness of proper documentation and data stewardship, two skills certain to prevail throughout their careers as modern EM physicians.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135857711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient, Caregiver, and Clinician Experience with a Technologically Enabled Pillbox: A Qualitative Study","authors":"Evan Michael Shannon, Stephanie K. Mueller, Jeffrey L. Schnipper","doi":"10.1055/s-0043-1775970","DOIUrl":"https://doi.org/10.1055/s-0043-1775970","url":null,"abstract":"Abstract Objectives As part of a study to assess whether a technologically enabled pillbox prescribed to patients at hospital discharge can improve medication safety, we sought to assess participant experiences with the intervention. Methods We conducted a series of semi-structured phone interviews with patients, patient caregivers, and inpatient and outpatient clinicians who participated in the Smart Pillbox Transition Study. We developed an interview guide using the Systems Engineering Initiative for Patient Safety (SEIPS) framework, which included the a priori domains of (1) barriers to implementation, (2) facilitators of the intervention, and (3) general feedback regarding experience with the intervention. Within these domains, we employed SEIPS-informed themes of environment and organization, logistics and tasks, personnel and patients, and technology and tools. Interviews were conducted between May 2018 and January 2019. We used content analysis to interpret findings. Results We interviewed 6 patients, 2 caregivers, and 5 inpatient and 2 outpatient clinicians. Patient-endorsed barriers in the theme of technology and tools included signal issues, inappropriate alarms, and portability. Barriers in the theme of logistics and tasks included coordination with pharmacists in the event of a prescription change. Barriers mentioned by clinicians included patients who were poor fits for the intervention (theme: personnel and patients) and competing demands at discharge (theme: logistics and tasks). Facilitators that were frequently mentioned by patients and caregivers in the theme of technology and tools included useful alarms and ease of use. Clinicians stated that communication with pharmacy and study staff helped facilitate the intervention (theme: personnel and patients). Conclusion We identified several key barriers and facilitators from patients, caregivers, and clinicians to successful implementation of this intervention. Reconciling these sometimes contrasting viewpoints will be crucial if the Smart Pillbox or similar health information technology interventions are to be adopted as tools to improve medication safety during care transitions.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135851611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Directly Integrating Health Information Exchange (HIE) Data with the Electronic Health Record Increases HIE Use by Emergency Department Clinicians","authors":"Rebecca L. Rivera, Heidi Hosler, Jeong Hoon Jang, Jason T. Schaffer, John Price, Joshua R. Vest, Titus K. Schleyer","doi":"10.1055/s-0043-1772583","DOIUrl":"https://doi.org/10.1055/s-0043-1772583","url":null,"abstract":"Abstract Objectives This article (1) develops a Fast Healthcare Interoperability Resources app, Health Dart, that integrates information from Indiana's community health information exchange (HIE), the Indiana Network for Patient Care (INPC), directly with Cerner, an electronic health record (EHR), and (2) evaluates the effect of Health Dart's implementation on HIE use. Methods Health Dart was implemented in 14 Indiana University Health emergency departments (EDs) using a stepped-wedge study design. We analyzed rates of INPC use in 286,175 ED encounters between October 1, 2019 and December 31, 2020. Logistic regression was used to model the probability of INPC use given the implementation context, such as user interface (UI) enhancements and the coronavirus disease 2019 pandemic. Results INPC use increased by 131% across all encounters (from 3.6 to 8.3%; p < 0.001) after Health Dart implementation. INPC use increased by 144% (from 3.6 to 8.8%; p < 0.001) more than 2 months postimplementation. After UI enhancements, postimplementation INPC use increased by 123% (from 3.5 to 7.8%) compared to 181% (from 3.6 to 10.1%; p < 0.001) in postimplementation encounters that occurred before UI enhancements. During the pandemic, postimplementation INPC use increased by 135% (from 3.4 to 8.0%; p < 0.001) compared to 178% (from 3.6 to 10%; p < 0.001) in postimplementation encounters that occurred before the pandemic. Statistical significance was determined using 95% confidence intervals (α = 0.05). Conclusion Direct integration of HIE information into an EHR substantially increased frequency of HIE use, but the effect was weakened by the UI enhancements and pandemic. HIE information integrated into EHRs in the form of problem-oriented dashboards can potentially make information retrieval more efficient and effective for clinicians.","PeriodicalId":72041,"journal":{"name":"ACI open","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135812158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}