The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities
Open accessAbstract
This era of groundbreaking scientific developments in high-resolution, high-throughput technologies is allowing the cost-effective collection and analysis of huge, disparate datasets on individual health. Proper data mining and translation of the vast datasets into clinically actionable knowledge will require the application of clinical bioinformatics. These developments have triggered multiple national initiatives in precision medicine-a data-driven approach centering on the individual. However, clinical implementation of precision medicine poses numerous challenges. Foremost, precision medicine needs to be contrasted with the powerful and widely used practice of evidence-based medicine, which is informed by meta-analyses or group-centered studies from which mean recommendations are derived. This "one size fits all" approach can provide inadequate solutions for outliers. Such outliers, which are far from an oddity as all of us fall into this category for some traits, can be better managed using precision medicine. Here, we argue that it is necessary and possible to bridge between precision medicine and evidence-based medicine. This will require worldwide and responsible data sharing, as well as regularly updated training programs. We also discuss the challenges and opportunities for achieving clinical utility in precision medicine. We project that, through collection, analyses and sharing of standardized medically relevant data globally, evidence-based precision medicine will shift progressively from therapy to prevention, thus leading eventually to improved, clinician-to-patient communication, citizen-centered healthcare and sustained well-being.
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Cites
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Cited by
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
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BackgroundFrom promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251
Precision medicine and suicide: an opportunity for digital health
Barrigon, M. L., Courtet, P., Oquendo, M., & Baca-García, E. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1119-8 · Cited by 36
Metadata
- Authors
- Beckmann, J. S., & Lew, D.
- Venue
- Genome Medicine
- Published
- 2016-12
- Volume
- 8
- Issue
- 1
- Pages
- 134-134
- ISSN
- 1756-994X (ISSN-L)
- OpenAlex
- W2563025099
- Cited by
- 258
- References
- 103
- FWCI
- 7.87
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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