ArticleClinical pharmacology and therapeutics2016
Integrating electronic health record genotype and phenotype datasets to transform patient care.
Article in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- MultimodalCirculation · 2026Article
- Mapping the Functional Landscape ofmedRxiv : the preprint server for health sciences · 2025Article
- Identifying Patients at Risk for Alcohol-Exposed Pregnancies: The Importance of Addressing Multiple Risk Factors.Substance use & addiction journal · 2025Article
- Development and validation of a race-agnostic computable phenotype for kidney health in adult hospitalized patients.PloS one · 2024Article
- Methods for Stratification and Validation Cohorts: A Scoping Review.Journal of personalized medicine · 2022Article
- Cognitive analysis of metabolomics data for systems biology.Nature protocols · 2021Article
- Preferences for Accessing Electronic Health Records for Research Purposes: Views of Parents Who Have a Child With a Known or Suspected Genetic Condition.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020Article
- Pharmacogenetics of alcohol use disorder treatments: an update.Expert opinion on drug metabolism & toxicology · 2019Review
- Precision oncology: lessons learned and challenges for the future.Cancer management and research · 2019Article
- Use of big data in drug development for precision medicine: an update.Expert review of precision medicine and drug development · 2019Article
- The use of electronic health records for psychiatric phenotyping and genomics.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018Review
- Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.Translational psychiatry · 2018Article
- Ethics and Epistemology in Big Data Research.Journal of bioethical inquiry · 2017Article
- The genetic epidemiology of substance use disorder: A review.Drug and alcohol dependence · 2017Review
- Phenome-wide association studies: a new method for functional genomics in humans.The Journal of physiology · 2017Review
- PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017Article
- 21st Century Cardio-Oncology: Identifying Cardiac Safety Signals in the Era of Personalized Medicine.JACC. Basic to translational science · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 mandates the development and implementation of electronic health record (EHR) systems across the country. While a primary goal is to improve the care of individual patients, EHRs are also key enabling resources for a vision of individualized (or personalized or precision) medicine: the aggregation of multiple EHRs within or across healthcare systems should allow discovery of patient subsets that have unusual and definable clinical trajectories that deviate importantly from the expected response in a "typical" patient. The spectrum of such personalized care can then extend from prevention to choice of medication to intensity or nature of follow-up.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.