Applied Clinical Informatics最新文献

{"title":"Consumer Involvement in the Co-Design of Diabetes Self-Management Smartphone Apps: A Scoping Review.","authors":"Christie L Martin, Caitlin J Bakker, Sayantani Sarkar, Rachael M Kang, Nick F H Reid, Ming-Yuan Chih, Scott Sittig, Grace Gao, Corey B Smith, Brad Morse, Katherine K Kim, Liliana Laranjo, Velma L Payne","doi":"10.1055/a-2564-7682","DOIUrl":"10.1055/a-2564-7682","url":null,"abstract":"<p><p>Consumer involvement in the co-design of diabetes self-management smartphone apps is vital. This scoping review explored how consumers are involved in the co-design processes and methods and approaches guiding this research.Our review was guided by Arksey and O'Malley's five-stage framework, PRISMA-ScR guidelines, and Witteman and colleagues' 11-item user-centered design (UCD-11) framework. We searched literature across five databases and examined types of consumer involvement in co-design and frequency of methods and approaches (i.e., co-design approaches, behavioral theories, and other frameworks), synthesizing findings in SPSS and Excel.Of the 14,206 initial items, 283 articles were included. Most studies were conducted in Asia (33.2%) and focused on type 2 diabetes (43.1%). All articles addressed at least one UCD principle, and prototype evaluation (UCD-3) was the most frequent (82.3%); 85.2% addressed iterative responsiveness (factor 2). Most articles (66.8%) did not report a particular method or approach; 20.5% used design-related approaches, with user-centered design being the most common (7.4%). Few articles (3.9%) utilized social cognitive theory.Overall, co-design activities were isolated by phase. Consumers were primarily involved in evaluating prototypes and had limited engagement in the early stages. Iterative responsiveness factor activities were underreported or limited in scope. The use of approaches, theories, and frameworks was inconsistent. Consumer involvement in the co-design of diabetes self-management apps is often limited to later phases, with minimal engagement during the critical preprototype phase. To enhance the relevance, effectiveness, and adoption of diabetes self-management apps, app designers should improve the reporting of co-design activities and engage consumers across all co-design phases.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 3","pages":"698-707"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12286709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144700133","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":"Implementation and Adoption of an Order-Based Surgical Case Request Tool across Subspecialty Clinics.","authors":"Andrew P Bain, Alyssa Low, Robert W Turer, Jonathan E Reeder, Brandon R Bruns, Derek Ngai, Christoph U Lehmann, Hongzhao Ji","doi":"10.1055/a-2564-7405","DOIUrl":"10.1055/a-2564-7405","url":null,"abstract":"<p><p>While computerized provider order entry (CPOE) has become standard for medication, laboratory, referral, and imaging ordering, use in surgical case requests has not been well-described. At a large county hospital, many surgical clinics used a variety of 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.We implemented an OBCR tool 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. We analyzed all cases requested via old or new workflows for 6 months after the go-live of the tool.From 2022 to 2023, managers created 7,226 operative case requests across 19 surgical clinics, 158 faculty surgeons, and 1,737 procedure combinations. Most cases (4,585, 63%) were created via OBCR. Clinic OBCR use ranged from 2 to 97% of created cases. With OBCR, case information was entered earlier, resulting in significantly increased time from case creation to scheduling, 12.0 versus 0.7 days, respectively (<i>p</i> < 0.001). Concordantly, mean time from creation to completion increased from 35.4 to 54.6 days (<i>p</i> < 0.001). Rates of \"voided cases\" decreased in the new workflow (1.9 vs. 4.5%, <i>p</i> < 0.001).Most surgical clinics at our institution adopted the OBCR tool, facilitating earlier operative case entry with lower void rates. This streamlined case request approach improves preoperative planning and reduces data entry redundancy. The OBCR system also enabled the 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":"689-697"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12286710/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.","authors":"Vincent Lattanze, Xinyue Lan, Drew Vander Leest, Jasper Sim, Melissa Fazzari, Xianhong Xie, Sunit P Jariwala","doi":"10.1055/a-2562-1100","DOIUrl":"10.1055/a-2562-1100","url":null,"abstract":"<p><p>Electronic health record (EHR) systems are essential for modern healthcare but contribute to a significant documentation burden, affecting physician workflow and well-being. While previous studies have identified differences in EHR usage across demographics, systematic methods for identifying high-burden physician groups remain limited. This study applies cluster analysis to uncover distinct EHR usage profiles and provide a framework to inform the development of targeted interventions.This study investigated two research questions: (1) Can cluster analysis effectively identify distinct physician EHR usage profiles? (2) How do these profiles vary across physician demographics and practice characteristics? We hypothesized that (1) EHR usage clusters would emerge based on workload intensity, after-hours documentation, and In Basket management patterns, and (2) would be significantly associated with physician experience, sex, and specialty.We analyzed outpatient EHR usage data from 323 physicians at an academic health system using Epic Signal, an analytical tool for Epic EHR. Using k-means clustering, we examined six metrics representing EHR workload (after-hours and extended-day activities) and In Basket efficiency (message handling and management patterns). We assessed cluster differences and conducted subgroup analyses by physician sex and specialty.Two distinct physician clusters emerged: one high-burden cluster, predominantly comprising experienced primary care physicians, and another lower-burden cluster, consisting mostly of younger specialists. Physicians in the high-burden cluster spent nearly three times as much time on after-hours documentation and In Basket management. While message response times remained similar, subgroup analyses revealed significant sex and specialty-based differences, particularly in the lower-burden cluster.Cluster analysis effectively identified distinct EHR usage patterns, highlighting disparities in workload by experience, sex, and specialty. This approach provides a scalable, data-driven method for health systems to identify at-risk groups and design targeted interventions to mitigate documentation burden and enhance EHR efficiency.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"640-651"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12266939/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664961","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":"A Case Study: Optimizing CDS for Pediatric Oncology Trials by Transitioning from Interruptive to Passive Alerts.","authors":"Renee Potashner, Natalie Meyer, Erica Patterson, Karim Jessa, Adam Paul Yan","doi":"10.1055/a-2555-2441","DOIUrl":"10.1055/a-2555-2441","url":null,"abstract":"<p><p>Many children with cancer are treated as part of interventional clinical trials. Ensuring that the correct chemotherapy treatment plan is used is paramount.The objectives of this report were to: (1) highlight the initial design of a clinical decision support (CDS) tool that was intended to help ensure the correct matching of research studies to research chemotherapy medications, (2) discuss the issues identified with the CDS tool, and (3) review the redesign of the tool that was done to overcome the issues identified.We previously utilized an interruptive alert developed by Epic Systems to identify mismatches between a patient's chemotherapy plan and research study. We identified an issue with the logic of the alert resulting in the alert firing inappropriately.We estimate that the chemotherapy-research plan alert fired when 93.4% of treatment plans were applied (17.3 alerts/provider/year). A high number of misfiring alerts were identified due to the inclusion of our institution name as both (1) a \"tag\" in the research protocol, and (2) an unallowed tag in the research study record. Since the tag was included in all protocols, but also unallowed in all research records the alert fired with the application of almost all treatment plans. We developed a new mechanism to provide CDS that did not involve an interruptive alert. Within the research study record, we manually associate compatible treatment plans to that study record, and then when an oncologist goes to order chemotherapy the system prioritizes the display of compatible treatment plans to the oncologist. The goal of the redesigned CDS approach is to eliminate interruptive alerts while ensuring the correct chemotherapy plan is selected.With end-user engagement and creative approaches to CDS design, interruptive alerts can be transitioned into passive and effective CDS tools.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"589-594"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12196561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617625","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":"AI in Health Care: The Leadership Role of Board-Certified Clinical Informaticists.","authors":"Keith E Morse, Natalie M Pageler, Nigam H Shah, Tanya Townsend, Christopher Sharp, Michael A Pfeffer","doi":"10.1055/a-2556-4698","DOIUrl":"10.1055/a-2556-4698","url":null,"abstract":"","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 3","pages":"612-613"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12221687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144555399","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":"An Interactive Voice Response System for Postoperative Care in Primary Total Joint Arthroplasty Patients: A Pilot Study.","authors":"José L Ayala-Ortiz, Matthew McCrosson, Roshan Jacob, Vinoth A Nagabooshanam, Tapan Mehta, Waleed Al-Hardan, Gerald McGwin, Sameer Naranje","doi":"10.1055/a-2539-1283","DOIUrl":"10.1055/a-2539-1283","url":null,"abstract":"<p><p>Effective postoperative care is crucial for the success of total joint arthroplasty (TJA) and prevention of unnecessary emergency department (ED) visits. We explore the feasibility and acceptability of utilizing an Interactive Voice Response System (IVRS) to enhance postoperative monitoring in primary TJA patients.This pilot study was conducted with 24 participants undergoing primary TJA randomly assigned to an intervention group receiving IVRS calls (<i>n</i> = 12) or a control group (<i>n</i> = 12) receiving standard postoperative follow-up. Feasibility and acceptability were assessed through patient satisfaction and willingness to participate. Outcome measures included the Short Form 36 Health Survey Questionnaire, the Hip Disability and Osteoarthritis Outcome Score (HOOS), the Knee Injury and Osteoarthritis Outcome Score (KOOS), and pain assessments using the Visual Analog Scale.The IVRS group exhibited a 92.3% retention rate, with 100% completion of the 12-week study. IVRS calls triggered 10 notifications, addressing pain control and respiratory concerns, leading to timely interventions and preventing ED visits. The IVRS demonstrated an 81% (95% confidence interval, 77.1-86.0%) overall response rate, with high patient satisfaction (92% finding calls \"very useful\").This pilot study demonstrates the feasibility and acceptability of an IVRS-based postoperative follow-up system for TJA patients. Patients reported high satisfaction and expressed willingness to use the IVRS service again.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"526-537"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12158576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426209","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":"Relationship between Additional Required Nursing Documentation and Patient Outcomes: A Scoping Review.","authors":"Rachel Y Lee, Jennifer Thate, Jennifer Withall, Po-Yin Yen, Kenrick Cato, Sarah C Rossetti","doi":"10.1055/a-2561-3960","DOIUrl":"10.1055/a-2561-3960","url":null,"abstract":"<p><p>Although many aspects of nursing documentation are considered an essential part of clinical communication and care coordination, other types of nursing documentation have been implemented to meet compliance and secondary uses. Adding required documentation without carefully assessing its association with patient outcomes adds excessive documentation burden on nurses. There is a gap in the evidence of the association between additional required nursing documentation and improvements in patient outcomes.This study aimed to synthesize and describe the state of the evidence on the relationship between adding required electronic nursing documentation and improved patient outcomes in inpatient hospital settings.Databases were searched using relevant terms for original studies examining the effects of additional required nursing documentation. Two authors screened titles, abstracts, and full texts for eligibility criteria. PubMed, CINAHL (EBSCO), Web of Science, and Embase were searched for data from January 2011 to May 2023.A total of 47 studies were included. Of the studies reviewed, 57.4% (<i>n</i> = 27) focused only on process measures, primarily measuring documentation compliance, and 42.6% (<i>n</i> = 20) studies included patient outcome measures such as infection rates, length of stay, and falls. Of these studies 45% (<i>n</i> = 9) reported statistically significant relationship between required nursing documentation and improved patient outcomes. Overall quality of evidence was generally low, with 72% (<i>n</i> = 34) being quality improvement studies and only one study being a randomized controlled trial.The findings of this scoping review suggest an assumed, yet unverified, connection between added required nursing documentation and improved patient outcomes that is not substantiated by high-quality empirical evidence. The paucity of studies with significant findings-and the methodological weaknesses of those that report them-suggest the need for critical examination of documentation practices that are truly beneficial to patient outcomes versus those documentation practices that are excessively burdensome.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"628-639"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664960","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 Burden of a Highly Targeted Alert.","authors":"Tatyan Clarke, Tyler Kotarski, Marc Tobias","doi":"10.1055/a-2573-8067","DOIUrl":"10.1055/a-2573-8067","url":null,"abstract":"<p><p>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, an alert's burden is often assessed by evaluating the total number of times it is seen by end-users, which can overlook the true impact of highly interruptive workflows. This study demonstrates how an alert burden metric was employed to pinpoint an ineffective and burdensome alert, ultimately leading to its deactivation.This study aimed to evaluate the effectiveness of a burden metric in identifying high-impact, low-value alerts and prioritizing improvement efforts for a CDS governance team.A clinical informatics team employed Phrase Health's \"Phrase Burden Index\" (PBI) to assess alert burden and identify areas requiring intervention within the alert library.The team used the PBI to identify a breast cancer survivorship alert that fired 3,550 times in 2023, with the desired alert action chosen in only 0.00056% of alert firings. An investigation identified that this alert targeted a single clinician over the span of several years, and the CDS governance team promptly decommissioned the alert.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":"732-735"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12310297/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of the TrendBurden Survey: Assessing Perceived Documentation Burden among Health Professionals in the United States.","authors":"Elizabeth A Sloss, Ayomide Owoyemi, Anup Kumar Mishra, Kathleen Sidwell, Shanawaz Abdul, Gigi Dawood, Matthew R Allen, Davis Austria, Zachary Pope, Faraaz Chekeni, Sarah Corley, Aaron Grigg, Vince Hartman, Kevin B Johnson, Deborah R Levy, Kyle Marshall, Judy Murphy, Barry Newman, Toni Phillips, Kevin D Smith, James Szymanski, Sarah Rossetti","doi":"10.1055/a-2562-0910","DOIUrl":"10.1055/a-2562-0910","url":null,"abstract":"<p><p>Documentation burden contributes to health professional burnout and negatively impacts health professional well-being and patient care quality. Yet, there is a gap in the literature regarding an effective measure to assess the perceived documentation burden of health professionals in a wide range of care settings over time.We developed and administered a pulse survey to trend, with subsequent administrations, the perceived documentation burden of health professionals in all care settings in the United States over time.A multimethods approach was used which included conducting a scoping review of the literature to identify and then curate a set of potential survey items based on scoping review results. Next, a modified Delphi approach was used with clinical informatics experts for consensus-driven item selection and pulse survey development. Finally, we administered the pulse survey nationally using snowball sampling through professional listservs and networks of organizations.The scoping review helped to identify constructs and items to include on the pulse survey. After four iterations of the modified Delphi approach, consensus was reached on five final items for the pulse survey, labeled \"TrendBurden.\" The first administration of \"TrendBurden\" was completed by 1,253 healthcare professionals in April 2024. Most respondents (73.26%) disagreed that the time and effort spent documenting patient care is appropriate, with 77.42% reporting finishing work later or needing to work from home due to excessive documentation tasks. Seventy-four point three-eight percent agreed that the effort or time required to complete documentation tasks impedes patient care, and less than one-third (31.76%) agreed that the EHR is easy to use.The \"TrendBurden\" Pulse Survey was developed through a scoping review of the literature and expert consensus. The resulting five-question pulse survey was administered nationally and provided insight into current perceptions of documentation burden among healthcare professionals.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 3","pages":"662-675"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12266938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144650995","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":"Optimizing Wound Culture Ordering in Electronic Health Records: A Case Report.","authors":"John J Hanna, Jenny L Weon, Kathryn Kelton, Ellis Haskell, Mary J Ramirez, Bonnie Greene, Marcus Kouma, Donald F Storey, Shelby D Melton, Toby Gray, William Scott, Rafael Ortiz-Colberg, David Truong, James Blaine, Richard J Medford, Christoph U Lehmann, Bishnu Devkota, Jeffrey Hastings","doi":"10.1055/a-2546-5868","DOIUrl":"10.1055/a-2546-5868","url":null,"abstract":"<p><p>At a large quaternary health system, tissue specimens were frequently sent to the microbiology laboratory with an incorrect wound culture order meant for swab specimens due to poor electronic health record (EHR) menu design. Wound cultures were also requested in chronic wound cases with a low index of suspicion for acute infection.This study aimed to present a case report on specific changes to the design of the electronic test menu that resulted in higher numbers of appropriate ordering practices.\"Wound Culture\" test was renamed to \"Wound Swab Culture\" to distinguish it from tissue specimens, and \"Tissue Culture\" was added as a new available quick order in the microbiology menu alongside the existing wound culture quick order. In addition, a diagnostic questionnaire was added to \"Wound Swab Culture\" quick orders that inquired about the presence of pus/exudate and erythema and if the wound was a surgical wound to guide and assess the appropriateness of the culture order.The number of tissue specimens erroneously submitted with a wound culture order decreased from 6.6% in July 2022 (preintervention) to 0% in July 2023 (postintervention). The diagnostic questionnaire was utilized in 27.5% of wound culture orders. In 6 out of 98 orders (6.1%), the wound was not surgical, and there was an absence of pus/exudate and erythema (<i>p</i> = 0.038). Conversely, 92 out of 98 orders (93.9%) had at least one \"Yes\" response. The total numbers of tests 6 months before and after the test menu design interventions showed that tissue culture orders increased from 228 prior to the intervention to 349 postintervention. Wound culture orders decreased from 575 to 460 (<i>p</i> < 0.0001).Our case report underscores how targeted EHR optimization can be associated with more appropriate microbiology test ordering practices for potential wound infections.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"569-574"},"PeriodicalIF":2.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12176505/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525014","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}