Evidence map›Paper›PMID 21519832›Full record

ArticleHuman genetics2011

Electronic medical records and personalized medicine.

Mark A Hoffman, Marc S Williams

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Clinical decision support for genetically guided personalized medicine: a systematic review.Journal of the American Medical Informatics Association : JAMIA
    Pooled it
  2. Review
  3. Article
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  5. Article
  6. Article
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  8. Article
  9. A proposed approach to accelerate evidence generation for genomic-based technologies in the context of a learning health system.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Review
  10. Integrating pharmacogenomics into electronic health records with clinical decision support.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2016
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Perspectives on what is needed to implement genomic medicine.Molecular genetics & genomic medicine · 2015
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mark A HoffmanResearch Solutions, Cerner Corporation, Kansas City, MO 64117, USA.
Marc S Williams

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

If the dream of personalized medicine is to be realized, tremendous amounts of data specific to each individual must be captured, synthesized and presented to clinicians at the time this information is needed to make care decisions for the patient. This can only be accomplished through the use of sophisticated electronic medical record (EMR) systems that are designed to support this function. This article will define two important aspects of a fully functional EMR the ability to: present patients or clinicians with high quality context specific information at the point of care (so-called "just-in time" education) and to combine clinically relevant information from disparate sources in order to guide the clinician to the optimized intervention for a given patient (clinical decision support). Personalized medicine examples are used to illustrate these concepts. As implemented most EMR systems are not being used to assimilate the information needed to provide personalized medicine. A description of necessary enhancements to currently available systems that will be needed to create a "personalized medicine enabled" EMR is provided.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsPrecision MedicineFamily HealthGenetic TestingHumansLogistic Models

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.