Personalized Medicine and the Power of Electronic Health Records

Abul-Husn, Noura S.; Kenny, Eimear E.

doi:10.1016/j.cell.2019.02.039

Cited by 355Electronic Health Records SystemsArtificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Personalized Medicine and the Power of Electronic Health Records

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Abul-Husn, Noura S., Kenny, Eimear E.·2019·Cell

DOI 10.1016/j.cell.2019.02.039PMC PMC6921466

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Abstract

Personalized medicine has largely been enabled by the integration of genomic and other data with electronic health records (EHRs) in the United States and elsewhere. Increased EHR adoption across various clinical settings and the establishment of EHR-linked population-based biobanks provide unprecedented opportunities for the types of translational and implementation research that drive personalized medicine. We review advances in the digitization of health information and the proliferation of genomic research in health systems and provide insights into emerging paths for the widespread implementation of personalized medicine.

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Efforts to make clinical data in electronic health records and registries available for research mean biobanks increasingly provide access to demographic, clinical and lifestyle data from large, often multi-ethnic collections.
“Efforts to make clinical data embedded in electronic health records and registries available for research77,78 mean that biobanks increasingly provide access to a wide range of demographic, clinical and lifestyle data, captured in harmonized, systematic fashion from large, often multi-ethnic collections of individuals.”
From A brief history of human disease genetics (2020) · cites this paper as [78]

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Authors: Abul-Husn, N. S., & Kenny, E. E.
Affiliations: Icahn School of Medicine at Mount Sinai (US)
Corresponding author: Kenny, Eimear E.
ORCID: Kenny, Eimear E.
Venue: Cell
Publisher: Elsevier BV
Published: 2019-03
Volume: 177
Issue: 1
Pages: 58-69
ISSN: 0092-8674 (ISSN-L)
DOI: 10.1016/j.cell.2019.02.039
PMC: PMC6921466
OpenAlex: W2923757114
Cited by: 355
References: 120
Citations by year: 2026: 36 · 2025: 68 · 2024: 63 · 2023: 53 · 2022: 48 · 2021: 49 · 2020: 28 · 2019: 10
FWCI: 6.76
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 386 d)
Locations: Cell (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: Icahn School of Medicine
NHGRI
NHLBI
NIDDK (U01HG009080, R01DK110113, U01HG009610, R01HL104608)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords: personalized medicine, electronic health records, genomic data integration, population-based biobanks, translational research, implementation research
MeSH terms: Genetic Testing, Humans, United States, Genome, Human, Genomics, Precision Medicine, Electronic Health Records

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