{"title":"Project Management Digitalisation of the Clinical Research at the University Medical Centre: Good Practice of using REDCap as a Digitalisation Tool","authors":"Zdenko Garašević, Franc Strle, Martina Jaklič","doi":"10.1016/j.ijmedinf.2025.106028","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>The digital tool REDCap (Research Electronic Data Capture) was implemented at the University Medical Centre Ljubljana (UMCL) with the goal of digitalising and streamlining research processes. This study aimed to assess the efficiency and transparency of clinical research following the implementation of REDCap.</div></div><div><h3>Methods</h3><div>The implementation of REDCap for funded research began in 2021. It comprised four key steps: (I) the initial creation of Central Research Registry, followed by additional functionalities including (II) the establishment of the Central Database for ’Pre-Contract Activities’ for clinical trials; (III) the integration of Reporting on Research Progress directly into the Central Research Registry; and (IV) the development of a semi-automated Workflow for internal agreements.</div></div><div><h3>Results</h3><div>Between 2021 and 2023, UMCL established a Central Research Registry using REDCap, transitioning from paper-based to digital data collection for over 2,500 research projects. These projects included clinical trials, national and international studies, as well as academic research. In addition to serving as a registry, the central system provided comprehensive data management, streamlined communication, and enhanced collaboration among stakeholders in clinical trial research at UMCL. The implementation of REDCap significantly reduced administrative burden and shortened the time required to finalise clinical trial agreements from 202 to 147 days. It also improved coordination, transparency, and real-time monitoring of research activities, facilitating more efficient research execution. Additionally, the digitalisation of internal agreements processes between researchers and stakeholders within UMCL improved coordination and expedited research execution timelines. Furthermore, REDCap enabled real-time monitoring of research progress, further contributing to the efficiency and transparency of research activities.</div></div><div><h3>Conclusion</h3><div>The digitalisation of research processes using REDCap improved the organisation and execution of research, leading to greater efficiency and transparency, reduced administrative workload, and enhanced collaboration. This approach contributed to higher-quality research outcomes and ultimately benefited patient care.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"203 ","pages":"Article 106028"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S138650562500245X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
The digital tool REDCap (Research Electronic Data Capture) was implemented at the University Medical Centre Ljubljana (UMCL) with the goal of digitalising and streamlining research processes. This study aimed to assess the efficiency and transparency of clinical research following the implementation of REDCap.
Methods
The implementation of REDCap for funded research began in 2021. It comprised four key steps: (I) the initial creation of Central Research Registry, followed by additional functionalities including (II) the establishment of the Central Database for ’Pre-Contract Activities’ for clinical trials; (III) the integration of Reporting on Research Progress directly into the Central Research Registry; and (IV) the development of a semi-automated Workflow for internal agreements.
Results
Between 2021 and 2023, UMCL established a Central Research Registry using REDCap, transitioning from paper-based to digital data collection for over 2,500 research projects. These projects included clinical trials, national and international studies, as well as academic research. In addition to serving as a registry, the central system provided comprehensive data management, streamlined communication, and enhanced collaboration among stakeholders in clinical trial research at UMCL. The implementation of REDCap significantly reduced administrative burden and shortened the time required to finalise clinical trial agreements from 202 to 147 days. It also improved coordination, transparency, and real-time monitoring of research activities, facilitating more efficient research execution. Additionally, the digitalisation of internal agreements processes between researchers and stakeholders within UMCL improved coordination and expedited research execution timelines. Furthermore, REDCap enabled real-time monitoring of research progress, further contributing to the efficiency and transparency of research activities.
Conclusion
The digitalisation of research processes using REDCap improved the organisation and execution of research, leading to greater efficiency and transparency, reduced administrative workload, and enhanced collaboration. This approach contributed to higher-quality research outcomes and ultimately benefited patient care.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.