Honeyford, K;
Expert, P;
Mendelsohn, EE;
Post, B;
Faisal, AA;
Glampson, B;
Mayer, EK;
(2022)
Challenges and recommendations for high quality research using electronic health records.
Frontiers in Digital Health
, 4
, Article 940330. 10.3389/fdgth.2022.940330.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Challenges and recommendations for high quality research using electronic health records |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fdgth.2022.940330 |
| Publisher version: | https://doi.org/10.3389/fdgth.2022.940330 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10155097 |
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