Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review
Abstract Background This study aims to understand how secondary use of health records can be done for prediction, detection, treatment recommendations, and related tasks in clinical decision support systems. Methods Articles mentioning the secondary use of EHRs for clinical utility, specifically in...
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BMC
2025-05-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-025-03021-8 |
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| author | Dipendra Pant Øystein Nytrø Bennett L. Leventhal Carolyn Clausen Kaban Koochakpour Line Stien Odd Sverre Westbye Roman Koposov Thomas Brox Røst Thomas Frodl Norbert Skokauskas |
| author_facet | Dipendra Pant Øystein Nytrø Bennett L. Leventhal Carolyn Clausen Kaban Koochakpour Line Stien Odd Sverre Westbye Roman Koposov Thomas Brox Røst Thomas Frodl Norbert Skokauskas |
| author_sort | Dipendra Pant |
| collection | DOAJ |
| description | Abstract Background This study aims to understand how secondary use of health records can be done for prediction, detection, treatment recommendations, and related tasks in clinical decision support systems. Methods Articles mentioning the secondary use of EHRs for clinical utility, specifically in prediction, detection, treatment recommendations, and related tasks in decision support were reviewed. We extracted study details, methods, tools, technologies, utility, and performance. Results We found that secondary uses of EHRs are primarily retrospective, mostly conducted using records from hospital EHRs, EHR data networks, and warehouses. EHRs vary in type and quality, making it critical to ensure their completeness and quality for clinical utility. Widely used methods include machine learning, statistics, simulation, and analytics. Secondary use of health records can be applied in any area of medicine. The selection of data, cohorts, tools, technology, and methods depends on the specific clinical utility. Conclusion The process for secondary use of health records should include three key steps: 1. Validation of the quality of EHRs, 2. Use of methods, tools, and technologies with proactive training, and 3. Multidimensional assessment of the results and their usefulness. Trial Registration : PROSPERO registration number CRD42023409582 |
| format | Article |
| id | doaj-art-34753f41eeac4ef1800b4bc41c131bbd |
| institution | DOAJ |
| issn | 1472-6947 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj-art-34753f41eeac4ef1800b4bc41c131bbd2025-08-20T03:07:51ZengBMCBMC Medical Informatics and Decision Making1472-69472025-05-0125111310.1186/s12911-025-03021-8Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic reviewDipendra Pant0Øystein Nytrø1Bennett L. Leventhal2Carolyn Clausen3Kaban Koochakpour4Line Stien5Odd Sverre Westbye6Roman Koposov7Thomas Brox Røst8Thomas Frodl9Norbert Skokauskas10Department of Computer Science, Norwegian University of Science and TechnologyDepartment of Computer Science, UiT The Arctic University of NorwayThe University of ChicagoRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and TechnologyDepartment of Computer Science, Norwegian University of Science and TechnologyRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and TechnologyRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and TechnologyRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU North), UiT The Arctic University of NorwayDepartment of Computer Science, Norwegian University of Science and TechnologyRWTH University of AachenRegional Centre for Child and Youth Mental Health and Child Welfare (RKBU Central Norway), Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and TechnologyAbstract Background This study aims to understand how secondary use of health records can be done for prediction, detection, treatment recommendations, and related tasks in clinical decision support systems. Methods Articles mentioning the secondary use of EHRs for clinical utility, specifically in prediction, detection, treatment recommendations, and related tasks in decision support were reviewed. We extracted study details, methods, tools, technologies, utility, and performance. Results We found that secondary uses of EHRs are primarily retrospective, mostly conducted using records from hospital EHRs, EHR data networks, and warehouses. EHRs vary in type and quality, making it critical to ensure their completeness and quality for clinical utility. Widely used methods include machine learning, statistics, simulation, and analytics. Secondary use of health records can be applied in any area of medicine. The selection of data, cohorts, tools, technology, and methods depends on the specific clinical utility. Conclusion The process for secondary use of health records should include three key steps: 1. Validation of the quality of EHRs, 2. Use of methods, tools, and technologies with proactive training, and 3. Multidimensional assessment of the results and their usefulness. Trial Registration : PROSPERO registration number CRD42023409582https://doi.org/10.1186/s12911-025-03021-8Secondary useElectronic health recordClinical decision supportSystematic review |
| spellingShingle | Dipendra Pant Øystein Nytrø Bennett L. Leventhal Carolyn Clausen Kaban Koochakpour Line Stien Odd Sverre Westbye Roman Koposov Thomas Brox Røst Thomas Frodl Norbert Skokauskas Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review BMC Medical Informatics and Decision Making Secondary use Electronic health record Clinical decision support Systematic review |
| title | Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review |
| title_full | Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review |
| title_fullStr | Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review |
| title_full_unstemmed | Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review |
| title_short | Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review |
| title_sort | secondary use of health records for prediction detection and treatment planning in the clinical decision support system a systematic review |
| topic | Secondary use Electronic health record Clinical decision support Systematic review |
| url | https://doi.org/10.1186/s12911-025-03021-8 |
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