Applied Clinical Informatics最新文献

{"title":"Engaging Stakeholders Using the Competency Matrix Model: A Framework for Current and Future Health Informaticists.","authors":"Elham Rastegari, Joy Doll, Jake Siedlik","doi":"10.1055/a-2496-8383","DOIUrl":"https://doi.org/10.1055/a-2496-8383","url":null,"abstract":"<p><strong>Objectives: </strong> This study aims to explore how health informaticists collaborate with multiple stakeholder groups, each possessing varying levels of comfort and competence with health technology and data. stakeholder engagement is highlighted as a crucial skill for health informaticists, necessitated by the differing competency levels among stakeholders.</p><p><strong>Methods: </strong> The Competency Matrix Model was identified as a strategic tool to address the challenges faced by health informaticists in navigating the complexities of health information technology utilization. This framework was used to evaluate and enhance the technological competencies of various stakeholders within the health care domain.</p><p><strong>Results: </strong> The application of the Competency Matrix Model provides health informaticists with a structured approach to improving stakeholders' technological competencies. This approach facilitates a better understanding and utilization of health information technologies, contributing to improved health care outcomes and operational efficiency.</p><p><strong>Conclusion: </strong> This work demonstrates the applicability of the Competency Matrix Model in the health care domain by health informaticists to enhance the technological competencies of various stakeholders. Through strategic stakeholder engagement and competency development, health informaticists can effectively address the challenges of technology utilization in health care, ensuring a positive impact on health care delivery.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"350-356"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051473","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 Resident Charge Capture with Disappearing Help Text in Note Templates.","authors":"Taylor B Martin, Douglas S Bell, Jeffrey A Gornbein, Paul J Lukac","doi":"10.1055/a-2477-1280","DOIUrl":"10.1055/a-2477-1280","url":null,"abstract":"<p><strong>Objective: </strong> This study aimed to assist residents in selecting the correct Current Procedural Terminology (CPT) code for evaluation and management (E/M) services through the addition of disappearing help text into a standardized note template.</p><p><strong>Methods: </strong> We created a disappearing text block that summarizes E/M requirements and embedded it into the note template used by residents at a pediatric urgent care clinic. An intervention cohort composed of postgraduate year 1 (PGY 1) residents was instructed to use this note template, while senior residents (PGY 2-3) were instructed to use an identical template that lacked the help text. We evaluated the incidence of CPT change by the attending physician for each visit as a proxy for improvement in resident billing practices. Logistic regression with a primary outcome of whether the encounter CPT code was changed was completed.</p><p><strong>Results: </strong> There were 2,869 encounters during the 255-day study period; the help text was used in 1,112 (38.8%) encounters. There was some crossover in note use; that is, PGY 1s used the note <i>without</i> help text and PGY 2s used the note <i>with</i> help text. Nevertheless, all residents who used the help text had a lower unadjusted rate of CPT change (22.1 vs. 30.6%, odds ratio [OR] = 0.64, <i>p</i> < 0.0001). This pattern persisted when stratified by trainee level-PGY 1 (22.6 vs. 45.3%, OR = 0.35, <i>p</i> < 0.0001) and PGY 2-3 (12.2 vs. 27.8%, <i>p</i> = 0.018). Adjusting for multiple factors, the use of help text was associated with a lower incidence of CPT change (OR = 0.28, 95% confidence interval [CI]: 0.19-0.44).</p><p><strong>Conclusion: </strong> Residents' use of the disappearing help text was associated with a large decrease in CPT code adjustment by attending physicians, which demonstrates its promise for improved E/M coding and other applications.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"267-274"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11945210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677588","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":"Ambulatory Medication Change Workflows' Effect on Communication to Pharmacies.","authors":"Samantha I Pitts, Bridgette Thomas, Yushi Yang, Allen R Chen","doi":"10.1055/a-2518-0194","DOIUrl":"10.1055/a-2518-0194","url":null,"abstract":"<p><strong>Background: </strong> When implemented in both electronic health records (EHRs) and pharmacy management software, CancelRx communicates medication discontinuation in the EHR to pharmacies, which has been demonstrated to reduce medication discrepancies at pharmacies and the risk of medication dispensing after e-prescription discontinuation. Provider workflows for making medication changes and the configuration of CancelRx will affect whether a medication change (e.g., dose adjustment) is communicated to a pharmacy.</p><p><strong>Objective: </strong> This study aimed to assess the effect of CancelRx configuration and the EHR tools used in provider workflows for medication changes on notification to health system and external community pharmacies.</p><p><strong>Methods: </strong> We conducted a functionality analysis of prescriber workflows for documenting a medication change using \"change,\" \"reorder,\" \"adjust sig,\" \"discontinue,\" and \"taking differently.\" In the EHR test environment, we examined three outcomes of interest: communication of discontinuation of the old prescription (or cancellation); generation of a new prescription; and instructions to the patient.</p><p><strong>Results: </strong> \"Change\" was the only single-step function that communicated medication discontinuation to both health system and external community pharmacies with default settings, although \"discontinue\" followed by a new prescription had the same results. \"Reorder\" and \"adjust sig\" functions had different cancellation outcomes for internal and external community pharmacies. \"Adjust sig\" also had different prescribing outcomes for internal and external pharmacies and \"taking differently\" did not result in communication of discontinuation or a new prescription at either pharmacy type.</p><p><strong>Conclusion: </strong> Several workflows for dose changes did not communicate to external community pharmacies, resulting in different prescriptions at the health system and external community pharmacies. Health systems leaders should consider the implications of local EHR workflows and CancelRx configuration on communication of medication changes to pharmacies as part of CancelRx implementation. Multidisciplinary collaboration is needed to develop more effective strategies for communication of medication dose changes.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"472-476"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12094863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121268","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":"Assessing the Effect of a Mobile Application on Cancer Risk Health Literacy: A Cross-Sectional Study Design.","authors":"Philippe Westerlinck, Nathalie Maes, Philippe Coucke","doi":"10.1055/a-2516-1757","DOIUrl":"10.1055/a-2516-1757","url":null,"abstract":"<p><strong>Background: </strong> The \"cancer risk calculator\" mobile application aims to inform patients about their personal risks of cancer and the risk factors influencing said risks. The present analysis examines the responses to a questionnaire submitted by oncology patients treated with radiotherapy or their family members.</p><p><strong>Objective: </strong> The primary objective was to determine the effect of the app on the user's awareness and potential habit changes related to cancer risk. Further, the study aimed to discern any relationships between respondent characteristics and their questionnaire responses.</p><p><strong>Methods: </strong> A total of 162 patients were included in the analysis. Each patient's dataset comprised gender, date of birth, entry date, respondent type, type of cancer, and responses to 12 application-related questions. Statistical methods such as multiple regression models were employed to identify any effects of the respondent's characteristics on their responses. Statistical significance was set at <i>p</i> < 0.05.</p><p><strong>Results: </strong> Responding to the survey questions, 67.1% of respondents found the application useful, and 63.4% reported learning something new. More than half (52.5%) indicated a willingness to change their habits based on the information provided. Respondents also indicated that they were surprised by the number of risk factors shaping their risks and the large influence of some of these risk factors. Variables such as breast cancer diagnosis (<i>p</i> = 0.044) and age (<i>p</i> = 0.049) influenced specific question responses.</p><p><strong>Conclusion: </strong> The \"cancer risk calculator\" app appears to have a significant utility in educating its users about cancer risk and potentially influencing habit change.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"447-462"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12094864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014572","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":"Multisite Implementation of a Sexual Health Survey and Clinical Decision Support to Promote Adolescent Sexually Transmitted Infection Screening.","authors":"Sarah K Schmidt, Judith W Dexheimer, Joseph J Zorc, Chella A Palmer, T Charles Casper, Kristin S Stukus, Michelle L Pickett, Cynthia J Mollen, Cara L Elsholz, Andrea T Cruz, Erin M Augustine, Monika K Goyal, Jennifer L Reed","doi":"10.1055/a-2480-4628","DOIUrl":"10.1055/a-2480-4628","url":null,"abstract":"<p><strong>Background: </strong> Adolescents are at high risk for sexually transmitted infections (STIs) and frequently present to emergency departments (EDs) for care. Screening for STIs using confidential patient-reported outcomes represents an ideal use of electronic screening methodology.</p><p><strong>Objectives: </strong> The objectives of this study were to implement a patient-facing, confidential electronic survey to assess adolescent risk for STIs and consent for testing with integrated provider-facing electronic clinical decision support (CDS) across six geographically dispersed pediatric EDs and evaluate implementation based on survey and CDS usage metrics.</p><p><strong>Methods: </strong> A pilot site provided code for the electronic survey, data query, and CDS templates to six EDs. Institutions identified necessary information technology (IT) personnel, completed the local build, and made modifications to suit individual site workflow variations with all sites successfully deploying the electronic survey with electronic health record (EHR)-embedded CDS.</p><p><strong>Results: </strong> Out of 79,780 eligible adolescents, 6,165 adolescents completed the confidential health survey between April 12, 2021 and September 25, 2022. The CDS was triggered indicating the patient was at risk or consented to STI testing across all six sites 2,058 times. The average percentage of time the CDS was acknowledged by a provider was 81.6% (range 45.7-97.6%). The median number of providers who acknowledged each instance of the CDS was 2.0. STI testing was ordered from the CDS on average 47.3% of the time. CDS acknowledged selection of \"other\" and \"[testing] already ordered\" was the most frequent indication STI testing was not ordered from the CDS.</p><p><strong>Conclusion: </strong> Successful deployment of patient-facing screeners with integrated electronic CDS across multiple healthcare institutions is feasible. A combination of different types of IT and informatics expertise with local knowledge of clinical workflows is essential to success.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"283-294"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11964718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142689158","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":"Application of an Externally Developed Algorithm to Identify Research Cases and Controls from EHR Data: Trials and Triumphs.","authors":"Nelly Estefanie Garduno-Rapp, Simone Herzberg, Henry H Ong, Cindy Kao, Christoph U Lehmann, Srushti Gangireddy, Nitin B Jain, Ayush Giri","doi":"10.1055/a-2524-5216","DOIUrl":"10.1055/a-2524-5216","url":null,"abstract":"<p><p>The use of electronic health records (EHRs) in research demands robust and interoperable systems. By linking biorepositories to EHR algorithms, researchers can efficiently identify cases and controls for large observational studies (e.g., genome-wide association studies). This is critical for ensuring efficient and cost-effective research. However, the lack of standardized metadata and algorithms across different EHRs complicates their sharing and application. Our study presents an example of a successful implementation and validation process.This study aimed to implement and validate a rule-based algorithm from a tertiary medical center in Tennessee to classify cases and controls from a research study on rotator cuff tear (RCT) nested within a tertiary medical center in North Texas and to assess the algorithm's performance.We applied a phenotypic algorithm (designed and validated in a tertiary medical center in Tennessee) using EHR data from 492 patients enrolled in a case-control study recruited from a tertiary medical center in North Texas. The algorithm leveraged the international classification of diseases and current procedural terminology codes to identify case and control status for degenerative RCT. A manual review was conducted to compare the algorithm's classification with a previously recorded gold standard documented by clinical researchers.Initially the algorithm identified 398 (80.9%) patients correctly as cases or controls. After fine-tuning and correcting errors in our gold standard dataset, we calculated a sensitivity of 0.94 and a specificity of 0.76. The implementation of the algorithm presented challenges due to the variability in coding practices between medical centers. To enhance performance, we refined the algorithm's data dictionary by incorporating additional codes. The process highlighted the need for meticulous code verification and standardization in multi-center studies.Sharing case-control algorithms boosts EHR research. Our rule-based algorithm improved multi-site patient identification and revealed 12 data entry errors, helping validate our results.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"314-326"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11945218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042671","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":"Initial Real-World Pilot of the MedMorph Reference Architecture: Hepatitis C Surveillance and Research.","authors":"Maria Michaels, Nathan E Botts, Susan Hassell, Russell Mardon, Eric Chung Ren Pan, Mike Flanigan, Chirine Chehab, Sara Liu, Angelica Bocour, Mark Alexander, Angel Aponte, Nicola D Thompson","doi":"10.1055/a-2441-6100","DOIUrl":"10.1055/a-2441-6100","url":null,"abstract":"<p><strong>Objectives: </strong> This study aimed to demonstrate real-world use of the Making Electronic Data More Available for Research and Public Health (MedMorph) Reference Architecture (RA) for automated exchange of hepatitis C-related data for public health surveillance and research using Fast Healthcare Interoperability Resources (FHIR).</p><p><strong>Methods: </strong> Pilot participants included a public health authority (PHA), research organization (RO), clinical sites, and electronic health record (EHR) vendors. The RA was tested for hepatitis C public health surveillance and research data exchange. A mixed methods evaluation used multiple data sources to assess impact of the RA compared with usual methods.</p><p><strong>Results: </strong> After implementation of the RA components, there was no burden on clinical staff to report data for public health surveillance or research purposes. Data were successfully transferred and passed from EHR to PHA and RO, which revealed the value of receiving clinical data in addition to laboratory data via electronic laboratory reporting for the PHA and limitations in the Bulk FHIR standard.</p><p><strong>Conclusion: </strong> Initial results indicate potential for long-term reduction of level of effort of reporting while improving the availability and completeness of clinical data for public health surveillance and research. Using a FHIR-based approach that aligns with regulatory health information technology certification requirements and existing infrastructure may reduce implementation burden. The MedMorph approach can enhance public health surveillance and research, resulting in improved data completeness and reduced reporting burden through automated data exchange using industry standards. MedMorph will continue to inform Centers for Disease Control and Prevention's Public Health Data Strategy, which provides the agency's direction for data modernization.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"234-244"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617630","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":"Academic Detailing to Enhance Adoption of Clinical Decision Support for Patients at Risk of Opioid Overdose.","authors":"Sarah Hussain, Harold Lehmann, Megan E Buresh, Timothy M Niessen, Michael I Fingerhood, Nazeer Ahmed, Kelly Cavallio, Andrew Maslen, Amy M Knight","doi":"10.1055/a-2508-7086","DOIUrl":"https://doi.org/10.1055/a-2508-7086","url":null,"abstract":"<p><strong>Background: </strong> Not all patients at risk for opioid overdose are prescribed naloxone when discharged from the emergency department or hospital. Clinical decision support (CDS) can be used to promote clinical best practices, such as naloxone prescribing; however, it may be ignored due to knowledge deficiencies or alert fatigue.</p><p><strong>Objectives: </strong> Assess the effect of academic detailing on responses to a CDS alert recommending a naloxone prescription for patients at risk of opioid overdose.</p><p><strong>Methods: </strong> A pre/postquality improvement study of 2,161 active providers at a 400-bed academic medical center. The first intervention was an educational email to all providers. The second intervention was individual emails to 150 providers who infrequently ordered naloxone in response to the alert. The main outcome measure was prescription-to-alert ratios, defined as the number of naloxone prescriptions signed in response to the alert divided by the number of times the alert fired.</p><p><strong>Results: </strong> The first academic detailing intervention resulted in a prescription-to-alert ratio increase from 32.6 to 51.7%, a 19.1% absolute increase when comparing the approximately 8 months before and after the email was sent (95% confidence interval [CI]: 16.3-21.9%, <i>p</i> < 0.001). The second intervention resulted in an increased prescription-to-alert ratio from 9.3 to 50.6%, an absolute increase of 41.3% when comparing the nearly 8 months before and after the emails were sent (95% CI: 36.9-45.7%, <i>p</i> < 0.001). Improvements were seen across all services and all provider roles, particularly for advanced practice providers, and were sustained for 8 months.</p><p><strong>Conclusion: </strong> Academic detailing can be used to augment responses to CDS for patients with opioid dependence. Further study is needed to see if this effect can be replicated with CDS for other high priority conditions, and whether academic detailing with one alert might improve responses to other alerts as well, potentially decreasing alert fatigue.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"393-401"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058289/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989223","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 Elements of Style for Interruptive Electronic Health Record Alerts.","authors":"Jessica J Pourian, Catherine Blebea, Charumathi R Subramanian, Andrew Auerbach, Raman Khanna","doi":"10.1055/a-2508-7039","DOIUrl":"10.1055/a-2508-7039","url":null,"abstract":"<p><strong>Background: </strong> The proliferation of electronic health record (EHR) alerts has led to widespread alert fatigue and clinician burnout, undermining the effectiveness of clinical decision support and compromising patient safety.</p><p><strong>Objectives: </strong> We introduce a comprehensive style guide for designing interruptive alerts (IAs) in EHR systems to improve clinician engagement and reduce alert fatigue that has been approved by our institutional alert governance committees. This style guide addresses critical aspects of IAs, including format, typography, color coding, title brevity, patient identification, and introductory text. It also outlines the use of typographic emphasis, response options, default actions, and opt-out mechanisms, emphasizing the need for clear, concise, and actionable alerts that consider clinician workflow and cognitive burden.</p><p><strong>Discussion: </strong> A standardized style guide for IAs can enhance clinician experience and clinical outcomes by reducing alert fatigue. Incorporating feedback and continuous evaluation of alert effectiveness is essential for maintaining relevance and supporting patient care within a dynamic clinical environment.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":" ","pages":"402-408"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058297/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142910736","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":"Comprehensive Course on Clinical Study Data Management for Medical Informatics Students.","authors":"Yevgeniia Ignatenko, Natalia Ortmann, Sebastian Lutz, Frank Kramer","doi":"10.1055/a-2461-2956","DOIUrl":"10.1055/a-2461-2956","url":null,"abstract":"<p><strong>Background: </strong> Effective data management is critical in medical informatics research, ensuring the success and integrity of clinical studies. However, students often lack comprehensive training in this area, highlighting the need for tailored educational programs.</p><p><strong>Objectives: </strong> This study aims to introduce a proposed course focused on data management for medical informatics students. The objectives include providing students with a robust understanding of data management principles, particularly emphasizing technical measures within clinical studies regarding data quality, interoperability, and extract, transform, and load pipelines.</p><p><strong>Methods: </strong> The course design involves a multidimensional approach, covering various aspects of research data management. It comprises each step involved in setting up a clinical trial, based on a real study adapted for educational purposes and presented in a longitudinal stepwise design. An anonymous survey was conducted among the students to evaluate and further develop the course content.</p><p><strong>Results: </strong> Initial feedback from students participating in the pilot course has been positive, with 62.5% of responses evaluating this course as \"very good.\" Students reported an improved understanding of data management principles and expressed appreciation for the practical exercises. Topics include theoretical concepts, practical applications, and hands-on exercises. Lectures, exercises, and interactive sessions are utilized to engage students and enhance learning outcomes. The course structure facilitated active participation and knowledge retention among students.</p><p><strong>Conclusion: </strong> The proposed course bridges a gap in the education of medical informatics students between theory and practice, equipping them with technical skills, medical knowledge, and data analytics. The course aims to prepare future professionals to address the complex data challenges inherent in clinical studies, improving clinical research processes for higher-quality evidence. The positive feedback from students underscores the effectiveness, successful implementation of the course, and relevance of such a course in shaping the next generation of medical informatics professionals.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"245-251"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903106/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617629","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}