Applied Clinical Informatics最新文献

{"title":"Clinical Decision Support Leveraging Health Information Exchange improves Concordance with Patient's Resuscitation Orders and End-Of-Life Wishes.","authors":"Eesha Chakravartty, Jared Silberlust, Saul Blecker, Yunan Zhao, Fariza Alendy, Heather Menzer, Aamina Ahmed, Simon Jones, Meg Ferrauiola, Jonathan Saul Austrian","doi":"10.1055/a-2591-9040","DOIUrl":"https://doi.org/10.1055/a-2591-9040","url":null,"abstract":"<p><p>Objectives Improve concordance between patient end-of-life preferences and code status orders by incorporating data from a state registry with Clinical Decision Support (CDS) within the electronic health record (EHR) to preserve patient autonomy and ensure that patients receive care that aligns with their wishes. Methods Leveraging a Health Information exchange (HIE) interface between the New York State Medical Orders for Life-Sustaining Treatment (eMOLST) registry and the EHR of our academic health system, we developed a bundled CDS intervention that displays eMOLST information at the time of code status ordering and provides an in-line alert when providers enter a resuscitation order discordant with wishes documented in the eMOLST registry. To evaluate this intervention, we performed a segmented regression analysis of an interrupted times series to compare percentage of discordant orders before and after implementation among all hospitalizations for which an eMOLST was available. Results We identified a total of 3648 visits that had an eMOLST filed prior to inpatient admission and a code status order placed during admission. There was a statistically significant decrease of discordant resuscitation orders of -5.95% after the intervention went live, with a relative risk reduction of 25%, [95% CI: -9.95%, -1.94%, p=0.009] in the pre- and post-intervention period. Logistic regression model after adjusting for co-variates showed an average marginal effect of -5.12% after the intervention [CI =-9.75%, -0.50%, p=0.03]. Conclusions Our intervention resulted in a decrease in discordant resuscitation orders. This study demonstrates that accessibility to eMOLST data within the provider workflow supported by CDS can reduce discrepancies between patient end-of-life wishes and hospital code status orders.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144055133","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":"Effectiveness of mathematical and simulation models for Improving Quality of Care in Emergency Departments: A Systematic Literature Review.","authors":"Thamer Ahmed Almohaya, James Batchelor, Edilson Arruda","doi":"10.1055/a-2591-3930","DOIUrl":"https://doi.org/10.1055/a-2591-3930","url":null,"abstract":"<p><p>This systematic literature review aims to critically evaluate the use of mathematical and simulation models within emergency departments (EDs) and assess their potential to improve the quality of care. This review emphasises the critical need for quality enhancement in healthcare systems, specifically focusing on EDs. This review incorporates studies investigating the quality of care provided in ED settings, employing assorted mathematical and simulation models for adult populations. Based on the selected studies, a narrative approach was used to synthesise the findings, focusing on outcome classification, simulation, and modelling. There are six outcome dimensions: safety, effectiveness, patient-centeredness, timeliness, efficiency, and equity. This review analysed 112 studies, uncovering a distinct focus on a set of key performance measures within emergency department (ED) operations, accounting for 222 instances across these studies. Measures assessing timeliness were most frequent, occurring 111 times, indicating a strong emphasis on operational efficiency aspects such as waiting times and patient flow. A total of 75 examinations were conducted on efficiency-related measures, specifically focusing on identifying and addressing operational bottlenecks and optimising resource utilisation. On the other hand, safety, patient-centeredness, and effectiveness were not as commonly represented, with only three, four, and 29 instances, respectively. This review highlights the considerable potential of mathematical and simulation models to enhance ED operations, particularly regarding timeliness and efficiency. However, aspects such as patient safety, effectiveness, and patient-centredness were under-represented, while equity was absent across the studies, indicating a clear need for further research. These findings emphasise the importance of adopting a more thorough approach to evaluating and improving the quality of emergency care. Future research should also concentrate on refining data management practices, incorporating observational studies, and exploring various simulation tools to develop a more balanced and inclusive understanding of these models' applications.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144026549","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":"Special Topic Burnout: Improving Nurse Documentation Time via an Electronic Health Record Documentation Efficiency Tool.","authors":"John Will, Deborah Jacques, Denise Dauterman, Rachelle Torres, Glenn Doty, Kerry O'Brien, Lisa Groom","doi":"10.1055/a-2581-6172","DOIUrl":"https://doi.org/10.1055/a-2581-6172","url":null,"abstract":"<p><strong>Background: </strong>Nursing documentation burden is a growing point of concern in the United States healthcare system. Documentation in the electronic health record (EHR) is a contributor to perceptions of burden. Efficiency tools like flowsheet macros are one development intended to ease the burden of documentation.</p><p><strong>Objective: </strong>Evaluate if flowsheet macros, a documentation efficiency tool in the EHR that consolidates documentation into a single click, reduces the time spent in documentation activities and the EHR overall.</p><p><strong>Methods: </strong>Nurses in the health system were encouraged to create and utilize flowsheet macros for their documentation. Flowsheet documentation and time in system data for nurses' first and last shift in the evaluation period was extracted from the EHR. Linear regression with control variables was utilized to understand if utilization of flowsheet macros for documentation reduced the time spent in flowsheets or the EHR.</p><p><strong>Results: </strong>The results of linear regression showed a significant, negative relationship between flowsheet macros use and time in flowsheets (AOR = -0.291, CI = -0.342 - -0.240, p < 0.001). Flowsheet macros use and time in system also had a significant, negative relationship (AOR = -0.269, CI = -0.390 - -0.147, p = <0.001). Subgroups for department specialties showed time savings in flowsheet activities for medical surgical, critical care, and obstetrics units, however a significant relationship was not found in emergency and rehabilitation units.</p><p><strong>Conclusion: </strong>Utilization of flowsheet macros was associated with a decrease in the amount of time a nurse spends in both flowsheets and the EHR. Adoption and time savings varied by the department setting, suggesting flowsheet macros may not be applicable to all patient types or conditions. Future research should investigate if the time savings from this tool yield benefits in perceptions of nurse documentation burden.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144008645","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":"Special Issue on CDS Failures: Opportunities and challenges associated with the pilot implementation of CDS systems: A qualitative study.","authors":"Nicki Newton, Adeola Bamgboje-Ayodele, Rowena Forsyth, Lenert Bruce, Steven M McPhail, Tim Shaw, Sundresan Naicker, Amina Tariq, Melissa Therese Baysari","doi":"10.1055/a-2581-6236","DOIUrl":"https://doi.org/10.1055/a-2581-6236","url":null,"abstract":"<p><strong>Background: </strong>Despite their potential, Clinical Decision Support (CDS) systems often lack alignment with clinicians' needs and are underutilised in practice. Pilot implementations can help to improve the fit between systems and local needs by engaging users in real-world testing and refinement. Although pilot implementations of CDS have been reported, limited evidence has explored the factors contributing to pilot success.</p><p><strong>Objectives: </strong>This study aimed to explore the opportunities and challenges associated with the pilot implementation of a CDS system that ultimately did not progress to full-scale implementation.</p><p><strong>Methods: </strong>We conducted interviews with clinicians, health service managers, and vendors involved in the pilot implementation and use of a mobile application-based CDS and a dashboard-based CDS in two departments (Emergency and Patient Flow) of a rural Australian hospital. A semi-structured interview guide was developed using the Non-adoption, Abandonment, Sustainability, Scale-up, and Spread (NASSS) framework. Interviews were audio-recorded, transcribed, and thematically analysed.</p><p><strong>Results: </strong>Analysis revealed four major themes: system performance and design, implementation processes, organisational support and resources, and perceived benefits of the CDS. The pilot implementation allowed for greater user input into the iterative design of CDS in practice, particularly in the Emergency Department, where clinicians had both the capacity and willingness to engage. However, technical issues encountered early in the pilot deterred many users who did not re-engage even after issues were resolved. Although some users remained engaged, they became frustrated as organisational resource constraints meant that critical issues impacting the CDS's clinical utility went unresolved.</p><p><strong>Conclusions: </strong>Successful CDS pilots depend on the readiness of organisations, departments, and users to engage in pilot activities. Pilot implementations should be pursued in settings where users have both the capacity and willingness to participate in iterative feedback processes and where organisations have sufficient resources to address emerging needs.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020528","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":"Mobile Admission Process and Administrative Turnaround Time for Hospitalization of Outpatients: A Retrospective Study.","authors":"Ho Sub Chung, Myeong Namgung, Sung Jin Bae, Yunhyung Choi, Dong Hoon Lee, Chan Woong Kim, Sunho Kim, Kwang Yul Jung","doi":"10.1055/a-2576-7110","DOIUrl":"https://doi.org/10.1055/a-2576-7110","url":null,"abstract":"<p><strong>Objectives: </strong>This study compared the time efficiency of the hospital admission process using personal mobile devices to traditional walk-in methods, thereby assessing the effectiveness of the mobile admission process.</p><p><strong>Methods: </strong>This retrospective study was conducted at Chung-Ang University Gwangmyeong Hospital in South Korea (August 2022-January 2023). Turnaround times for the walk-in and mobile admission processes were compared. Patients were divided into mobile and walk-in groups based on their admission process. Collected timestamp data were extracted by examining patients' electronic medical record log time or caregivers' electronic signatures on consent forms. Time intervals between timestamp data were calculated and compared.</p><p><strong>Results: </strong>We enrolled 4,344 patients to compare the turnaround time and demographics of the mobile (n = 1,336) and walk-in (n = 3,008) admission processes. The former had a significantly shorter mean turnaround time (13.4 min) than the latter (22.2 min). Female patients, younger patients, and those admitted to surgery departments were more likely to use the mobile process. Older patients were less likely to undergo mobile admissions. A linear regression analysis revealed that these factors significantly affected the usability of the mobile device admission process.</p><p><strong>Conclusions: </strong>Compared to the traditional walk-in admission process, the mobile admission process can reduce task completion time.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052994","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":"Special Topic Burnout: An AI-Powered Strategy for Managing Patient Messaging Load and Reducing Burnout.","authors":"Stephon N Proctor, Greg Lawton, Shikha Sinha","doi":"10.1055/a-2576-0579","DOIUrl":"https://doi.org/10.1055/a-2576-0579","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to evaluate the impact of using a large language model (LLM) for generating draft responses to patient messages in the electronic health record (EHR) system on clinicians and support staff workload and efficiency.</p><p><strong>Methods: </strong>We partnered with Epic Systems to implement OpenAI's ChatGPT 4.0 for responding to patient messages. A pilot study was conducted from August 2023 to July 2024 across 13 ambulatory specialties involving 323 participants, including clinicians and support staff. Data on draft utilization rates and message response times were collected and analyzed using statistical methods.</p><p><strong>Results: </strong>The overall mean generated draft utilization rate was 38%, with significant differences by role and specialty. Clinicians had a higher utilization rate (43%) than scheduling staff (33%). Draft message usage significantly reduced all users' message response time (13 seconds on average). Support staff experienced a more substantial and statistically significant time saving (23 seconds) compared to negligible time savings seen by clinicians (3 seconds). Variability in utilization rates and time savings was observed across different specialties.</p><p><strong>Conclusion: </strong>Implementing LLMs for drafting patient message replies can reduce response times and alleviate message burden. However, the effectiveness of AI-generated draft responses varies by clinical role and specialty, indicating the need for tailored implementations. Further development and personalization of AI (Artificial Intelligence) tools are recommended to maximize their utility and ensure safe and effective use in diverse clinical contexts.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812760","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":"Special Issue on CDS Failures: The Burden of a Highly Targeted Alert.","authors":"Tatyan Clarke, Tyler Kotarski, Marc Tobias","doi":"10.1055/a-2573-8067","DOIUrl":"https://doi.org/10.1055/a-2573-8067","url":null,"abstract":"<p><strong>Background: </strong>Interruptive alerts in clinical decision support (CDS) systems are intended to guide clinicians in making informed decisions and adhering to best practices. However, these alerts can often become a source of frustration, contributing to alert fatigue and clinician burnout. Traditionally, alert burden is often assessed by evaluating total firing counts, which can overlook the true impact of highly interruptive workflows. This study demonstrates how an alert burden metric was used to uncover an ineffective alert for decommissioning.</p><p><strong>Objectives: </strong>To evaluate the effectiveness of a burden metric in identifying high-impact, low-value alerts and prioritizing improvement efforts for a CDS governance team.</p><p><strong>Methods: </strong>A clinical informatics team employed XXX to assess alert burden and identify areas requiring intervention within the alert library.</p><p><strong>Results: </strong>The team used the XXX to identify a breast cancer survivorship alert that fired 3,550 times in 2023, with an acceptance rate of just 0.00056%. Investigation identified that this alert targeted a single clinician over the span of several years and the CDS governance team promptly decommissioned the alert.</p><p><strong>Conclusion: </strong>This case highlights the value of continuous CDS monitoring, effective governance, and advanced analytics to identify and mitigate alert fatigue. Insights from this failure provide guidance for enhancing future CDS design, evaluation, and clinician engagement.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781567","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":"Primary Care Providers Acceptance of Generative AI Responses to Patient Portal Messages.","authors":"Amarpreet Kaur, Alex Budko, Katrina Liu, Bryan D Steitz, Kevin B Johnson","doi":"10.1055/a-2565-9155","DOIUrl":"https://doi.org/10.1055/a-2565-9155","url":null,"abstract":"<p><strong>Background: </strong>Patient portals bridge patient and provider communications but exacerbate physician and nursing burnout. Large language models (LLMs) can generate message responses that are viewed favorably by healthcare professionals; however, these studies have not included diverse message types or new prompt-engineering strategies. Our goal is to investigate and compare the quality and precision GPT-generated message responses versus real doctor responses across the spectrum of message types within a patient portal.</p><p><strong>Methods: </strong>We used prompt engineering techniques to craft synthetic provider responses tailored to adult primary care patients. We enrolled a sample of primary care providers in a cross-sectional study to compare authentic with synthetic patient portal message responses, generated by GPT-3.5-turbo, July 2023 version (GPT). The survey assessed each response's empathy, relevance, medical accuracy, and readability on a scale from 0 to 5. Respondents were asked to identify responses that were GPT-generated vs. provider-generated. Mean scores for all metrics were computed for subsequent analysis.</p><p><strong>Results: </strong>A total of 49 health care providers participated in the survey (59% completion rate), comprising 16 physicians and 32 advanced practice providers (APPs). In comparison to responses generated by real doctors, GPT-generated responses scored statistically significantly higher than doctors in two of the four parameters: empathy (p<0.05) and readability (p<0.05). However, no statistically significant difference was observed for relevance and accuracy (p > 0.05). Although readability scores were significantly different, the absolute difference was small, and the clinical significance of this finding remains uncertain.</p><p><strong>Conclusion: </strong>Our findings affirm the potential of GPT-generated message responses to achieve comparable levels of empathy, relevance, and readability to those found in typical responses crafted by healthcare providers. Additional studies should be done within provider workflows and with careful evaluation of patient attitudes and concerns related to the ethics as well as the quality of generated responses in all settings.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711826","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":"Implementation and Adoption of an Order-Based Surgical Case Request Tool Across Subspecialty Clinics.","authors":"Andrew Patrick Bain, Alyssa Low, Robert W Turer, Jonathan E Reeder, Brandon R Bruns, Derek Ngai, Christoph Ulrich Lehmann, Hongzhao Ji","doi":"10.1055/a-2564-7405","DOIUrl":"https://doi.org/10.1055/a-2564-7405","url":null,"abstract":"<p><p>Introduction While computerized provider order entry (CPOE) has become standard for medication, laboratory, referral, and imaging ordering, use in surgical case requests is not well described. Our many surgical clinics used varying workflows for case requests, leading to data duplication and data storage outside of the electronic health record (EHR). We hypothesized that a provider-entered order-based case request (OBCR) tool would improve data entry efficiency and provide a more comprehensive EHR audit trail. Methods An OBCR tool was implemented across surgical clinics at a large safety-net hospital system. The existing workflow, whereby clinic managers created operative cases within the EHR after provider communication, remained available. All cases requested via both old and new workflows for six months after the tool went live were analyzed. Results From 2022-2023, managers created 7,226 operative cases across 19 surgical clinics, 158 faculty surgeons, and 1,737 procedure combinations. 4,585 cases (63%) were created via OBCR. Clinic OBCR use ranged from 2% to 97% of cases created. With OBCR, mean time from case creation to scheduling increased significantly, 12.0 vs 0.7 days respectively (p<0.001). Concordantly, mean time from creation to completion increased from 35.4 to 54.6 days (p<0.001). Rates of \"voided cases\" decreased in the new workflow (1.9% vs 4.5%, p<0.001). Conclusions Most surgical clinics at our institution adopted the OBCR tool, facilitating earlier operative case entry with lower void rates than traditional workflows and improving preoperative planning. OBCR system also enabled data collection needed for robust reporting and identification of clinics in need of support or workflow optimization.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701873","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":"Special Topic on Reducing Technology Related Stress and Burnout: Digital Compassion Fatigue as an Emerging Phenomenon for Registered Nurses Experiencing Techno-stress.","authors":"Matthew Byrne","doi":"10.1055/a-2564-8809","DOIUrl":"https://doi.org/10.1055/a-2564-8809","url":null,"abstract":"<p><strong>Background: </strong>Registered nurses increasingly work in remote care and digital interaction roles, offering flexibility and expansion of their scope of practice. These roles may expose nurses to digital compassion fatigue, a phenomenon proposed to be characterized by the negative psychological and emotional impact of caring for patients remotely through the use technology.</p><p><strong>Objectives: </strong>The first objective of this work is to propose the phenomenon of \"digital compassion fatigue\" as a potentially further evolved and differentiated form of \"compassion fatigue.\" The second objective is to produce a comparative analysis of attributes, antecedents, and consequences through literature reviews.</p><p><strong>Methods: </strong>An evolutionary concept analysis approach was selected as a guide for this concept exploration and evaluation. Concept analysis has been used to identify, explore, and clarify concepts, particularly given the dynamic nature of technology and practice. The process of conducting a concept analysis includes consideration of diverse and multi-disciplinary perspectives. As a result, those in caring, educational, and/or support service roles (e.g., social work, counseling, teaching) for which distance suffering and techno-stress could feasibly be present were also included. Healthcare-specific often included nurses in the sample, but may not have differentiated their specific insights or data points in the results.</p><p><strong>Results: </strong>The concept analysis explored the attributes, antecedents, and consequences of digital compassion fatigue, differentiating it from its evolutionary parent, compassion fatigue. Key antecedents included techno-stress, distant suffering, and the unique challenges of delivering care remotely and digital interactions. A major confounding variable was the COVID-19 pandemic which may have heightened or introduced new technology related stressors or highlighted the existence of digital compassion fatigue.</p><p><strong>Conclusions: </strong>Further defining and understanding digital compassion fatigue is crucial for developing effective strategies to support nurses who may experience it or who are at risk.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701876","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}