It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine
Robertson, Alan J., Mallett, Andrew J., Stark, Zornitza, and Sullivan, Clair (2024) It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine. JMIR Bioinformatics and Biotechnology, 5. e55632.
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Abstract
Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.
| Item ID: | 87533 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 2563-3570 |
| Keywords: | decision-making, diagnosis, digital health, DNA, electronic health records, electronic medical records, genetics, genomic, genomic data, genomics, precision medicine, risk reduction, supports, timeliness |
| Copyright Information: | Articles are distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published by JMIR Publications, is properly cited. The complete bibliographic information (authors, title, journal, volume/issue, and article ID), a link to the original publication (URL), and this copyright and license information (“Licensed under Creative Commons Attribution cc-by 4.0”) must be included. |
| Date Deposited: | 03 Dec 2025 00:27 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310509 Genomics @ 70% 42 HEALTH SCIENCES > 4203 Health services and systems > 420302 Digital health @ 30% |
| SEO Codes: | 20 HEALTH > 2003 Provision of health and support services > 200399 Provision of health and support services not elsewhere classified @ 100% |
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