Challenges and recommendations for high quality research using electronic health records
Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagnoses and treatments. They thus reflect the tr...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2022.940330/full |
| _version_ | 1811284012688211968 |
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| author | K Honeyford K Honeyford P Expert P Expert E.E Mendelsohn B Post B Post A.A Faisal A.A Faisal A.A Faisal A.A Faisal B Glampson B Glampson E.K Mayer E.K Mayer E.K Mayer C.E Costelloe C.E Costelloe C.E Costelloe |
| author_facet | K Honeyford K Honeyford P Expert P Expert E.E Mendelsohn B Post B Post A.A Faisal A.A Faisal A.A Faisal A.A Faisal B Glampson B Glampson E.K Mayer E.K Mayer E.K Mayer C.E Costelloe C.E Costelloe C.E Costelloe |
| author_sort | K Honeyford |
| collection | DOAJ |
| description | Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagnoses and treatments. They thus reflect the true state of health systems. However, access and utilisation of EHR data for research presents specific challenges. We assert that using data from EHRs effectively is dependent on synergy between researchers, clinicians and health informaticians, and only this will allow state of the art methods to be used to answer urgent and vital questions for patient care. We propose that there needs to be a paradigm shift in the way this research is conducted - appreciating that the research process is iterative rather than linear. We also make specific recommendations for organisations, based on our experience of developing and using EHR data in trusted research environments. |
| first_indexed | 2024-04-13T02:22:15Z |
| format | Article |
| id | doaj.art-b41637bb5cb741afbb8e95f65f1b5c42 |
| institution | Directory Open Access Journal |
| issn | 2673-253X |
| language | English |
| last_indexed | 2024-04-13T02:22:15Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj.art-b41637bb5cb741afbb8e95f65f1b5c422022-12-22T03:06:55ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2022-08-01410.3389/fdgth.2022.940330940330Challenges and recommendations for high quality research using electronic health recordsK Honeyford0K Honeyford1P Expert2P Expert3E.E Mendelsohn4B Post5B Post6A.A Faisal7A.A Faisal8A.A Faisal9A.A Faisal10B Glampson11B Glampson12E.K Mayer13E.K Mayer14E.K Mayer15C.E Costelloe16C.E Costelloe17C.E Costelloe18Global Digital Health Unit, School of Public Health, Imperial College London, London, United KingdomHealth Informatics Team, Division of Clinical studies, Institute of Cancer Research, London, United KingdomGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United KingdomGlobal Business School for Health, University College London, London, United KingdomGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United KingdomDepartment of Computing, Imperial College London, London, United KingdomUKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United KingdomDepartment of Computing, Imperial College London, London, United KingdomUKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United KingdomChair in Digital Health, Faculty of Life Sciences, University of Bayreuth, Bayreuth, GermanyDepartment of Bioengineering, Imperial College London, London, United KingdomTranslational Data Analytics and Informatics in Healthcare, Department of Surgery & Cancer, Imperial College London, London, United KingdomImperial Clinical Analytics, Informatics and Evaluation (iCARE), NIHR Imperial BRC, Imperial College Healthcare NHS Trust, London, United KingdomUKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United KingdomTranslational Data Analytics and Informatics in Healthcare, Department of Surgery & Cancer, Imperial College London, London, United KingdomImperial Clinical Analytics, Informatics and Evaluation (iCARE), NIHR Imperial BRC, Imperial College Healthcare NHS Trust, London, United KingdomGlobal Digital Health Unit, School of Public Health, Imperial College London, London, United KingdomHealth Informatics Team, Division of Clinical studies, Institute of Cancer Research, London, United Kingdom0Health Informatics Team, Royal Marsden Hospital, London, United KingdomHarnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagnoses and treatments. They thus reflect the true state of health systems. However, access and utilisation of EHR data for research presents specific challenges. We assert that using data from EHRs effectively is dependent on synergy between researchers, clinicians and health informaticians, and only this will allow state of the art methods to be used to answer urgent and vital questions for patient care. We propose that there needs to be a paradigm shift in the way this research is conducted - appreciating that the research process is iterative rather than linear. We also make specific recommendations for organisations, based on our experience of developing and using EHR data in trusted research environments.https://www.frontiersin.org/articles/10.3389/fdgth.2022.940330/fullresearch ethicsdata qualityelectronic health recordstrusted research environmentdigital health, research protocol, real world data |
| spellingShingle | K Honeyford K Honeyford P Expert P Expert E.E Mendelsohn B Post B Post A.A Faisal A.A Faisal A.A Faisal A.A Faisal B Glampson B Glampson E.K Mayer E.K Mayer E.K Mayer C.E Costelloe C.E Costelloe C.E Costelloe Challenges and recommendations for high quality research using electronic health records Frontiers in Digital Health research ethics data quality electronic health records trusted research environment digital health, research protocol, real world data |
| title | Challenges and recommendations for high quality research using electronic health records |
| title_full | Challenges and recommendations for high quality research using electronic health records |
| title_fullStr | Challenges and recommendations for high quality research using electronic health records |
| title_full_unstemmed | Challenges and recommendations for high quality research using electronic health records |
| title_short | Challenges and recommendations for high quality research using electronic health records |
| title_sort | challenges and recommendations for high quality research using electronic health records |
| topic | research ethics data quality electronic health records trusted research environment digital health, research protocol, real world data |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2022.940330/full |
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