Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation
Abstract Background Patients with atrial fibrillation are at risk for various complications, including thromboembolic events. This study involves developing and evaluating a Clinical Decision Support System (CDSS) to select appropriate anticoagulant drug, considering comorbidities, laboratory data,...
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BMC
2025-03-01
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| Series: | BMC Cardiovascular Disorders |
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| Online Access: | https://doi.org/10.1186/s12872-025-04615-w |
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| author | Ramin Ansari Sorayya Rezayi Ali Asghar Safaei Reza Mollazadeh Eisa Rezaei Mahboobeh Khabaz Mafinejad Soha Namazi Keyhan Mohammadi |
| author_facet | Ramin Ansari Sorayya Rezayi Ali Asghar Safaei Reza Mollazadeh Eisa Rezaei Mahboobeh Khabaz Mafinejad Soha Namazi Keyhan Mohammadi |
| author_sort | Ramin Ansari |
| collection | DOAJ |
| description | Abstract Background Patients with atrial fibrillation are at risk for various complications, including thromboembolic events. This study involves developing and evaluating a Clinical Decision Support System (CDSS) to select appropriate anticoagulant drug, considering comorbidities, laboratory data, and concurrent medications. The system is based on a streamlined interpretation of the most recent globally accepted clinical guidelines. Methods Primarily a semi-structured interview regarding the challenges in the field of thromboprophylaxis for AF and clinical pharmacists and cardiologists’ needs in practice was conducted. Then the required data were extracted from the latest guidelines and confirmed by the expert panel. Using Microsoft Visio software each scenario and its corresponding rules were modeled. Dart programming language, the Flutter framework, and the Visual Studio editor were used to develop the application. Finally, the uMARS questionnaire was used to evaluate the application quality. Results The selection of the anticoagulants was reported to be the most challenging domain by 78.6% of the participants in the interview. According to the designed algorithms, the application was developed using Asp.net with the Microsoft SQL Server database platform. This CDSS is called ACAFiB-APP, which stands for Anticoagulant in AF Application. The user goes through various calculators and obtains the required data, moreover, the user will choose one or more comorbidities/clinical scenarios. Finally, ACAFiB-APP will represent the proper anticoagulant options with dosing and related considerations. All of the sections in the uMARS questionnaire received acceptable scores. Conclusions The CDSS will facilitate the informed selection of anticoagulants for complicated AF cases by considering the patient clinical scenario. Clinical trial number Not applicable. |
| format | Article |
| id | doaj-art-5e57b0c54aec40c0bdafec4162f95a70 |
| institution | DOAJ |
| issn | 1471-2261 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cardiovascular Disorders |
| spelling | doaj-art-5e57b0c54aec40c0bdafec4162f95a702025-08-20T02:59:19ZengBMCBMC Cardiovascular Disorders1471-22612025-03-0125111710.1186/s12872-025-04615-wDesign and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillationRamin Ansari0Sorayya Rezayi1Ali Asghar Safaei2Reza Mollazadeh3Eisa Rezaei4Mahboobeh Khabaz Mafinejad5Soha Namazi6Keyhan Mohammadi7Department of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical SciencesDepartment of Health Information Management, School of Management and Medical Informatics, Tabriz University of Medical SciencesDepartment of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares UniversityDepartment of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical SciencesDepartment of Medical Education, Virtual University of Medical SciencesDepartment of Medical Education, Health Professions Education Research Center, Education Development Center, School of Medicine, Tehran University of Medical SciencesDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical SciencesDepartment of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical SciencesAbstract Background Patients with atrial fibrillation are at risk for various complications, including thromboembolic events. This study involves developing and evaluating a Clinical Decision Support System (CDSS) to select appropriate anticoagulant drug, considering comorbidities, laboratory data, and concurrent medications. The system is based on a streamlined interpretation of the most recent globally accepted clinical guidelines. Methods Primarily a semi-structured interview regarding the challenges in the field of thromboprophylaxis for AF and clinical pharmacists and cardiologists’ needs in practice was conducted. Then the required data were extracted from the latest guidelines and confirmed by the expert panel. Using Microsoft Visio software each scenario and its corresponding rules were modeled. Dart programming language, the Flutter framework, and the Visual Studio editor were used to develop the application. Finally, the uMARS questionnaire was used to evaluate the application quality. Results The selection of the anticoagulants was reported to be the most challenging domain by 78.6% of the participants in the interview. According to the designed algorithms, the application was developed using Asp.net with the Microsoft SQL Server database platform. This CDSS is called ACAFiB-APP, which stands for Anticoagulant in AF Application. The user goes through various calculators and obtains the required data, moreover, the user will choose one or more comorbidities/clinical scenarios. Finally, ACAFiB-APP will represent the proper anticoagulant options with dosing and related considerations. All of the sections in the uMARS questionnaire received acceptable scores. Conclusions The CDSS will facilitate the informed selection of anticoagulants for complicated AF cases by considering the patient clinical scenario. Clinical trial number Not applicable.https://doi.org/10.1186/s12872-025-04615-wAtrial fibrillationAnticoagulantClinical decision support systemDigital health |
| spellingShingle | Ramin Ansari Sorayya Rezayi Ali Asghar Safaei Reza Mollazadeh Eisa Rezaei Mahboobeh Khabaz Mafinejad Soha Namazi Keyhan Mohammadi Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation BMC Cardiovascular Disorders Atrial fibrillation Anticoagulant Clinical decision support system Digital health |
| title | Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| title_full | Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| title_fullStr | Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| title_full_unstemmed | Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| title_short | Design and Evaluation of ACAFiB-APP, a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| title_sort | design and evaluation of acafib app a clinical decision support system for anticoagulant considerations in patients with atrial fibrillation |
| topic | Atrial fibrillation Anticoagulant Clinical decision support system Digital health |
| url | https://doi.org/10.1186/s12872-025-04615-w |
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