Journal article : Review
Optimizing the use of electronic medical records for large scale research in psychiatry
- Abstract:
- The explosion and abundance of digital data could facilitate large scale research for psychiatry and mental health. Research using so-called “real world data” – such as electronic medical/health records – can be resource-efficient, facilitate rapid hypothesis generation and testing, complement existing evidence (e.g. from trials and evidence-synthesis) and may enable a route to translate evidence into clinically effective, outcomes-driven care for patient populations that may be under-represented. However, the interpretation and processing of real world data sources is complex because the clinically important ‘signal’ is often contained in both structured and unstructured (narrative or “free-text”) data. Techniques for extracting meaningful information (signal) from unstructured text exist and have advanced the re-use of routinely collected clinical data but these techniques require cautious evaluation. In this paper, we survey the opportunities, risks and progress made in the use of electronic medical record (real world) data for psychiatric research.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 661.0KB, Terms of use)
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- Publisher copy:
- 10.1038/s41398-024-02911-1
Authors
- Publisher:
- Springer Nature
- Journal:
- Translational Psychiatry More from this journal
- Volume:
- 14
- Article number:
- 232
- Publication date:
- 2024-06-01
- Acceptance date:
- 2024-04-15
- DOI:
- EISSN:
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2158-3188
- Language:
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English
- Subtype:
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Review
- Pubs id:
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1991182
- Local pid:
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pubs:1991182
- Deposit date:
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2024-04-18
Terms of use
- Copyright holder:
- Newby et al.
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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