Convergence of Implementation Science, Precision Medicine, and the Learning Health Care System: A New Model for Biomedical Research
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Real-world evidence is needed to understand treatment effectiveness in complex real-world patients whom clinicians encounter in daily practice.
“Subsequently, real-world evidence is needed to understand the treatment effectiveness in complex real-world patients whom clinicians encounter in their daily practice [11].”
From Effectiveness of a multidisciplinary rehabilitation program in real-world patients with chronic back pain: A pilot cohort data analysis (2021) · cites this paper as [11]
In the main text (page unavailable), the paper calls for studying how observational and clinical-trial data can improve outcomes in real-world practice settings, and says it matters whether a practice can be delivered in such settings. It does not specifically discuss assessing treatment effectiveness in complex patients encountered in daily practice. (LLM, conf=0.83)
Experimental — accuracy not yet measuredMany quality improvement methods from mental health care have shaped the field of implementation science.
“many of the quality improvement methods used in mental health care have influenced the growing field of implementation science 109”
From Measuring and improving the quality of mental health care: a global perspective (2018) · cites this paper as [109]
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Welcome to Implementation Science
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Self-citationA compilation of strategies for implementing clinical innovations in health and mental health
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- [2]Best care at lower cost: the path to continuously learning health care in America Committee on the Learning Health Care System in America Institute of Medicine http://www.nationalacademies.org/hmd/Reports/2012/Best-Care-at-Lower-Cost-The-Path-to-Continuously-Learning-Health-Care-in-America.aspx Accessed April 4, 2016 24901184
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“whom clinicians encounter in their daily practice [11].”
Background
- Authors
- Chambers, D. A., Feero, W. G., & Khoury, M. J.
- Affiliations
- National Cancer Institute (US)
- Maine-Dartmouth Family Medicine Residency (US)
- Centers for Disease Control and Prevention (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2016-05-10
- Volume
- 315
- Issue
- 18
- Pages
- 1941
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC5624312
- OpenAlex
- W2388329775
- Cited by
- 313
- References
- 4
- Citations by year
- 2026: 10 · 2025: 25 · 2024: 16 · 2023: 25 · 2022: 40 · 2021: 43 · 2020: 48 · 2019: 38 · 2018: 35 · 2017: 25 · 2016: 8
- FWCI
- 65.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 CA999999)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Keywords
- implementation science, precision medicine, learning healthcare systems, healthcare quality improvement
- MeSH terms
- Delivery of Health Care, Humans, Models, Theoretical, Biomedical Technology, Genomics, Biomedical Research, Cell Phone, Evidence-Based Practice, Precision Medicine, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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