Applied Clinical Informatics最新文献

{"title":"\"It Attracts Your Eyes and Brain\": Refining Visualizations for Shared Decision-Making with Heart Failure Patients.","authors":"Sabrina Mangal, Maryam Hyder, Kate Zarzuela, William McDonald, Ruth M Masterson Creber, Ian M Kronish, Stefan Konigorski, Mathew S Maurer, Monika M Safford, Mark S Lachs, Parag Goyal","doi":"10.1055/a-2402-5832","DOIUrl":"10.1055/a-2402-5832","url":null,"abstract":"<p><strong>Background: </strong> N-of-1 trials have emerged as a personalized approach to patient-centered care, where patients can compare evidence-based treatments using their own data. However, little is known about optimal methods to present individual-level data from medication-related N-of-1 trials to patients to promote decision-making.</p><p><strong>Objectives: </strong> We conducted qualitative interviews with patients with heart failure with preserved ejection fraction undergoing N-of-1 trials to iterate, refine, and optimize a patient-facing data visualization tool for displaying the results of N-of-1 medication trials. The goal of optimizing this tool was to promote patients' understanding of their individual health information and to ultimately facilitate shared decision-making about continuing or discontinuing their medication.</p><p><strong>Methods: </strong> We conducted 32 semistructured qualitative interviews with 9 participants over the course of their participation in N-of-1 trials. The N-of-1 trials were conducted to facilitate a comparison of continuing versus discontinuing a β-blocker. Interviews were conducted in person or over the phone after each treatment period to evaluate participant perspectives on a data visualization tool prototype. Data were coded using directed content analysis by two independent reviewers and included a third reviewer to reach a consensus when needed. Major themes were extracted and iteratively incorporated into the patient-facing data visualization tool.</p><p><strong>Results: </strong> Nine participants provided feedback on how their data were displayed in the visualization tool. After qualitative analysis, three major themes emerged that informed our final interface. Participants preferred: (1) clearly stated individual symptom scores, (2) a reference image with labels to guide their interpretation of symptom information, and (3) qualitative language over numbers alone conveying the meaning of changes in their scores (e.g., better, worse).</p><p><strong>Conclusion: </strong> Feedback informed the design of a patient-facing data visualization tool for medication-related N-of-1 trials. Future work should include usability and comprehension testing of this interface on a larger scale.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"1013-1024"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142047367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing Generative Artificial Intelligence Competency among Students Enrolled in Doctoral Nursing Research Coursework.","authors":"Meghan Reading Turchioe, Sergey Kisselev, Liesbet Van Bulck, Suzanne Bakken","doi":"10.1055/a-2373-3151","DOIUrl":"10.1055/a-2373-3151","url":null,"abstract":"<p><strong>Background: </strong> Generative artificial intelligence (AI) tools may soon be integrated into health care practice and research. Nurses in leadership roles, many of whom are doctorally prepared, will need to determine whether and how to integrate them in a safe and useful way.</p><p><strong>Objective: </strong> This study aimed to develop and evaluate a brief intervention to increase PhD nursing students' knowledge of appropriate applications for using generative AI tools in health care.</p><p><strong>Methods: </strong> We created didactic lectures and laboratory-based activities to introduce generative AI to students enrolled in a nursing PhD data science and visualization course. Students were provided with a subscription to Chat Generative Pretrained Transformer (ChatGPT) 4.0, a general-purpose generative AI tool, for use in and outside the class. During the didactic portion, we described generative AI and its current and potential future applications in health care, including examples of appropriate and inappropriate applications. In the laboratory sessions, students were given three tasks representing different use cases of generative AI in health care practice and research (clinical decision support, patient decision support, and scientific communication) and asked to engage with ChatGPT on each. Students (<i>n</i> = 10) independently wrote a brief reflection for each task evaluating safety (accuracy, hallucinations) and usability (ease of use, usefulness, and intention to use in the future). Reflections were analyzed using directed content analysis.</p><p><strong>Results: </strong> Students were able to identify the strengths and limitations of ChatGPT in completing all three tasks and developed opinions on whether they would feel comfortable using ChatGPT for similar tasks in the future. All of them reported increasing their self-rated competency in generative AI by one to two points on a five-point rating scale.</p><p><strong>Conclusion: </strong> This brief educational intervention supported doctoral nursing students in understanding the appropriate uses of ChatGPT, which may support their ability to appraise and use these tools in their future work.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"842-851"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141761944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pedagogical Principles in Implementing a Data Visualization Project in an Undergraduate Public Health Informatics Course.","authors":"John Robert Bautista","doi":"10.1055/a-2385-1544","DOIUrl":"10.1055/a-2385-1544","url":null,"abstract":"<p><strong>Background: </strong> The Applied Public Health Informatics Competency Model lists \"data analysis, visualization, and reporting\" as one of the eight competencies when teaching public health informatics. Thus, public health informatics students need to develop knowledge and skills in visualizing public health data. Unfortunately, there is limited work that discusses pedagogical principles that could guide the implementation of pedagogical activities related to data visualization in public health informatics.</p><p><strong>Objective: </strong> This study aimed to introduce, discuss, and reflect on pedagogical principles that were implemented for a data visualization project in an undergraduate public health informatics course.</p><p><strong>Methods: </strong> A reflective teaching approach was used to guide the discussion and reflection on how pedagogical principles were implemented for a data visualization project in an undergraduate public health informatics course. The generic implementation framework (i.e., preimplementation, implementation, and postimplementation) was used to organize the discussion of the course's implementation.</p><p><strong>Results: </strong>Four pedagogical principles were implemented as part of a data visualization project in an undergraduate public health informatics course: scaffolding (i.e., outputs built on top of each other), constructivism (i.e., students apply knowledge and work in teams to create a dashboard), critical consciousness (i.e., embedding social determinants of health (SDOH) in their dashboard), and equity and inclusion (i.e., using a free data visualization software that is easy to use for beginners and is used by public health institutions). Postimplementation reflection revealed areas of improvement, such as enhancing group advising, adding more SDOH variables in the dashboard, and plans for scalability.</p><p><strong>Conclusion: </strong> A data visualization project in an undergraduate public health informatics course could benefit from implementing multiple pedagogical principles. Overall, creating dashboards can be a learning tool to enhance data visualization skills among undergraduate public health informatics students. Dashboards can also emphasize the impact of health disparities and inequities in public health by incorporating the principles of SDOH.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"889-897"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141976952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitasking during Medication Management in a Nursing Home: A Time Motion Study.","authors":"Yu Jin Kang, Christine A Mueller, Joseph E Gaugler, Karen A Monsen","doi":"10.1055/a-2379-7206","DOIUrl":"10.1055/a-2379-7206","url":null,"abstract":"<p><strong>Background: </strong> Multitasking, defined as performing two or more interventions simultaneously, increases the cognitive burden of clinicians. This may, in turn, lead to higher risk of medication and procedural errors. Time motion study (TMS) data for nurses in nursing homes revealed an extensive amount of multitasking while managing medications. Further investigation of multitasked nursing interventions will provide a foundation for optimizing medication management workflows.</p><p><strong>Objectives: </strong> Using a continuous observational TMS method, this study aimed to describe pairs of multitasked nursing interventions associated with medication management interventions, including preparing and administering medications, assessing medication effects, instructing on medications, and documenting medication administration.</p><p><strong>Methods: </strong> An external nurse observer used 57 predefined Omaha System nursing interventions embedded within TimeCaT (version 3.9), TMS data recording software to collect observation data in a single nursing home. A total of 120 hours of time-stamped observation data from nine nurses were downloaded from TimeCaT and analyzed using descriptive and inferential statistics.</p><p><strong>Results: </strong> The majority (74%) of medication management interventions were multitasked, resulting in 2,003 pairs of multitasked interventions. Of the 57 Omaha System nursing interventions, 35 were involved in these multitasking pairs. When nurses multitasked, the average duration of medication preparation was longer (non-multitasked: 81 seconds; multitasked: 162 seconds, <i>p</i> < 0.05), while the average duration of medication administration record documentation was shorter (non-multitasked: 93 seconds; multitasked: 66 seconds, <i>p</i> < 0.05).</p><p><strong>Conclusion: </strong> The findings reveal the complexity of medication management in nursing homes with numerous and diverse multitasking pairs. Findings provide a platform for in-depth study of medication management multitasking in the clinical context, and inform future efforts to create clinical and informatics solutions to optimize medication management workflow. This method may be also applied to examine medication management and multitasking in other clinical settings.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"877-888"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11498965/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141894703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health Information Technology Documentation and Referrals for Intimate Partner Violence and Sexual Assault.","authors":"Joshua E Richardson, Jaclyn Houston-Kolnik, Stefany Ramos, Devin Oxner, Paige Presler-Jur","doi":"10.1055/a-2381-3487","DOIUrl":"10.1055/a-2381-3487","url":null,"abstract":"<p><strong>Background: </strong> Hospital settings provide a unique opportunity to screen for intimate partner violence (IPV) and sexual assault (SA) yet often lack health information technology (IT) solutions for generating reliable and valid medicolegal documentation via forensic reports.</p><p><strong>Objectives: </strong> The objective of the project was to evaluate a pilot, technology \"tool\" for documenting cases of IPV and SA that could support forensic nurse examiners and related stakeholders in generating high-quality documentation and coordinating victim support services.</p><p><strong>Methods: </strong> The tool was a digital health intervention implemented for use among forensic nurse examiners, law enforcement, victim support organizations, and more within four counties of California. We conducted a mixed-methods pilot study that captured data around the adoption, use, and impact of having access to the newly implemented tool.</p><p><strong>Results: </strong> The tool successfully went live in all four pilot counties at different time points with different proportions of use by county and form type: exams, referrals, addenda, risk assessments, and other. Participants were motivated to use the tool out of a perceived need for data handling functionalities that went beyond traditional manual (paper) means. Key functionalities included body mapping, data quality controls within validated forms, attaching addenda to already existing case reports, and the means to distribute data to external recipients. Further study and development are needed on functions to incorporate into body maps and forms and understanding the information needs of law enforcement and victim support organizations.</p><p><strong>Conclusion: </strong> Our evaluation demonstrated the feasibility and acceptability of a health IT tool to support forensic nurse documentation of IPV and SA and direct information to multiple legal and support-related stakeholders. Areas of future development include integrating IPV- and SA-related data standards for digitized forms, enhancements to the body mapping feature, and understanding the needs of those who receive digital data from forensic nurse examiners within the tool.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"852-859"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141898722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nudging towards Sleep-Friendly Health Care: A Multifaceted Approach on Reducing Unnecessary Overnight Interventions.","authors":"Sullafa Kadura, Lauren Eisner, Samia H Lopa, Alexander Poulakis, Hannah Mesmer, Nicole Willnow, Wilfred R Pigeon","doi":"10.1055/a-2404-2344","DOIUrl":"10.1055/a-2404-2344","url":null,"abstract":"<p><strong>Background: </strong> Choice architecture refers to the design of decision environments, which can influence decision-making in health care. Nudges are subtle adjustments in these environments that guide decisions toward desired outcomes. For example, computerized provider order entry within electronic health records (EHRs) recommends frequencies for interventions such as nursing assessments and medication administrations, but these can link to around-the-clock schedules without clinical necessity.</p><p><strong>Objectives: </strong> This study aimed to evaluate an intervention to promote sleep-friendly practices by optimizing choice architecture and employing targeted nudges on inpatient order frequencies.</p><p><strong>Methods: </strong> We employed a quasi-experimental interrupted time series analysis of a multifaceted, multiphase intervention to reduce overnight interventions in a hospital system. Our intervention featured EHR modifications to optimize the scheduling of vital sign checks, neurological checks, and medication administrations. Additionally, we used targeted secure messaging reminders and education on an inpatient neurology unit (INU) to supplement the initiative.</p><p><strong>Results: </strong> Significant increases in sleep-friendly medication orders were observed at the academic medical center (AMC) and community hospital affiliate (CHA), particularly for acetaminophen and heparin at the AMC. This led to a reduction in overnight medication administrations, with the most substantial impact observed with heparin at all locations (CHA: 18%, AMC: 10%, INU: 10%, <i>p</i> < 0.05). Sleep-friendly vital sign orders increased significantly at all sites (AMC: 6.7%, CHA: 4.3%, INU: 14%, <i>p</i> < 0.05), and sleep-friendly neuro check orders increased significantly at the AMC (8.1%, <i>p</i> < 0.05). There was also a significant immediate reduction in overnight neurological checks performed at the AMC.</p><p><strong>Discussion: </strong> Tailoring EHR modifications and employing multifaceted nudging strategies emerged as promising approaches for reducing unnecessary overnight interventions. The observed shifts in sleep-friendly ordering translated into decreases in overnight interventions.</p><p><strong>Conclusion: </strong> Multifaceted nudges can effectively influence clinician decision-making and patient care. The varied impacts across nudge types and settings emphasizes the importance of thoughtful nudge design and understanding local workflows.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"1025-1039"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Headache to Handled: Advanced In-Basket Management System in Primary Care Clinics Reduces Provider Workload Burden and Self-Reported Burnout.","authors":"LaPortia Smith, Wendy Kirk, Monica M Bennett, Kenneth Youens, Jason Ramm","doi":"10.1055/s-0044-1789575","DOIUrl":"https://doi.org/10.1055/s-0044-1789575","url":null,"abstract":"<p><strong>Background: </strong> The electronic health record (EHR) has been associated with provider burnout, exacerbated by increasing In-Basket burden.</p><p><strong>Objectives: </strong> We sought to study the impact of implementing a team-based approach to In-Basket management on a series of primary care ambulatory sites.</p><p><strong>Methods: </strong> We performed a workflow analysis of the transition to the Advanced In-Basket Management (AIM) nurse team triage for six family medicine clinic locations in a large health system. We abstracted and analyzed associated provider workflow metrics from our EHR. We conducted a postintervention provider survey on satisfaction with the AIM project and provider burnout.</p><p><strong>Results: </strong> The AIM project was implemented in six family medicine clinics after provider townhalls and workgroup development. A nurse team curriculum was created using the principles of \"maturing the message\" before sending it to a provider and \"only handle it once\" to improve response efficiency. Provider workload metrics abstracted from the EHR demonstrated 12.2 fewer In-Basket messages per provider per day (<i>p</i> < 0.05), 6.3 fewer minutes per provider per day worked outside scheduled hours (<i>p</i> < 0.05), 3.5 fewer minutes spent in the In-Basket per provider per day (<i>p</i> < 0.05), but 13.7 more seconds spent per completed message per provider (<i>p</i> = 0.017), likely attributable to increased message complexity. Sixty-four percent of providers reported no burnout symptoms in a postintervention survey, 56% agreed that the AIM project reduced their burnout, and approximately 70% of providers agreed that the AIM project was acceptable and appropriate for their clinic.</p><p><strong>Conclusion: </strong> The AIM project demonstrates team-based nurse In-Basket triage is possible to implement across multiple primary care sites, is an acceptable intervention for providers, can reduce provider workload burden and self-reported provider burnout.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"15 5","pages":"869-876"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11498967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142511078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Leaders in Informatics, Quality, and Systems (LInQS) Fellowship.","authors":"Heather Hallman, Jonathan Pell, P Michael Ho, Brian Montague, Lisa Schilling, Amber Sieja, Karen Ream, Tyler Anstett","doi":"10.1055/s-0044-1790550","DOIUrl":"10.1055/s-0044-1790550","url":null,"abstract":"<p><strong>Background: </strong> Leaders in Informatics, Quality, and Systems (LInQS) is a non-ACGME (Accreditation Council for Graduate Medical Education)-accredited 2-year training program developed to enhance training in the fields of health care delivery, quality improvement (QI), clinical informatics, and leadership.</p><p><strong>Methods: </strong> This single-institution 2-year longitudinal training program grounded in QI and informed by leadership and clinical informatics includes didactics, coaching, and mentorship, all centered around individualized QI projects. The program has been available to sub-specialty fellows, advanced practice providers, and physicians.</p><p><strong>Results: </strong> From 2019 to 2023, 32 fellows have been accepted into the program with 13 graduates and 16 currently enrolled. Fellows have been predominately female, physicians, and from multiple specialties but predominantly hospital medicine. Fellows' evaluations of the fellowship are highly positive, rating the didactics and mentorship aspects of the curriculum most favorably. Most fellows' projects utilized informatics solutions including clinical decision support tools to increase quality of care, improve patient outcomes, and reduce costs of care resulting in manuscript publications, national presentations, and a national specialty society award. Since matriculation, 50% of fellows received certification as Epic Physician Builders and 34% received leadership positions in clinical informatics, quality, and education.</p><p><strong>Conclusion: </strong> Our experience supports the need to provide health care providers more expansive training in the areas of QI, clinical informatics, and leadership for improving health care delivery. Additional in-depth knowledge and experience in these fields may produce and benefit leaders in these fields.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"15 5","pages":"914-920"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11524752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Informaticist or Informatician? A Literary Perspective.","authors":"Andrew P Bain, Samuel A McDonald, Christoph U Lehmann, Robert W Turer","doi":"10.1055/s-0044-1790553","DOIUrl":"10.1055/s-0044-1790553","url":null,"abstract":"","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"15 5","pages":"939-941"},"PeriodicalIF":2.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142591744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication Challenges Experienced by Clinicians and Patients During Teleconsultation. Scoping Review.","authors":"Takashi Sota, Tim Jackson, Eleanor Yang, Annie Ys Lau","doi":"10.1055/a-2425-8626","DOIUrl":"https://doi.org/10.1055/a-2425-8626","url":null,"abstract":"<p><p>Background As teleconsultations continue to rise in popularity due to their convenience and accessibility, it's crucial to identify and address the challenges they present in order to improve the patient experience, enhance outcomes, and ensure the quality of care. To identify communication challenges that clinicians and patients experience during teleconsultation, a scoping review was conducted. Methods Studies were obtained from four databases (Ovid [MEDLINE], Ovid [Embase], CINAHL and Scopus). Gray literatures were not included. Studies focused on communication challenges between clinicians and their patients during teleconsultation in the context of COVID-19 and published from January 2000 to December 2022 were collected. Screening process was conducted by 2 independent reviewers. Data extraction was performed using a standardized form to capture study characteristics and communication challenges. Extracted data were analyzed to identify the communication challenges during teleconsultation, adherent to PRISMA-ScR. Results A total of 893 studies were collected from 4 databases and 26 studies were selected based on inclusion/exclusion criteria. Of these 26 eligible studies, 12 (46%) were from the US, 3 studies (12%) were from Australia, 2 (8%) were from the UK and Canada. These studies included 12 (46%) qualitative studies, 6 (23%) quantitative studies, 6 (23%) review articles, and 2 (8%) case reports. Eight factors contributing to communication challenges between clinicians and patients during teleconsultations were identified: technical issues, difficulties in developing rapport, lack of non-verbal communication, lack of physical examination, language barrier, spatial issues, clinician preparation, and difficulties in assessing patients' health literacy. Conclusion Eight factors were identified contributing to communication challenges during teleconsultation in the context of COVID-19. These findings highlight the need for addressing communication challenges to ensure effective teleconsultations. With the rise of teleconsultation in routine healthcare delivery, further research is warranted to confirm these findings, and to explore ways to overcome communication challenges during teleconsultation.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}