Evidence map›Paper›PMID 26958303›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

An Assessment of Family History Information Captured in an Electronic Health Record.

Fernanda Polubriaginof, Nicholas P Tatonetti, David K Vawdrey

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

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  10. Returning integrated genomic risk and clinical recommendations: The eMERGE study.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
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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

3 authors.

Fernanda PolubriaginofDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
David K VawdreyNewYork-Presbyterian Hospital, New York, NY, USA; Department of Biomedical Informatics, Columbia University, New York, NY, USA.

Funding

Drug Effect Discovery Through Data Mining and Integrative Chemical BiologyR01GM107145 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TATONETTI, NICHOLAS P · 2014 to 2018
$2.5M
NIGMS NIH HHS R01 GM107145
6 · The paper itself

Abstract

Family history is considered a core element of clinical care. In this study we assessed the quality of family history data captured in an established commercial electronic health record (EHR) at a large academic medical center. Because the EHR had no centralized location to store family history information, it was collected as part of clinical notes in structured or free-text format. We analyzed differences between 10,000 free-text and 9,121 structured family history observations. Each observation was classified according to disease presence/absence and family member affected (e.g., father, mother, etc.). The structured notes did not collect a complete family history as defined by standards endorsed by the U.S. Agency for Healthcare Research and Quality; the free-text notes contained more information than the structured notes, but still not enough to be considered "complete." Several barriers remain for collecting complete, useful family history data in electronic health records.

Indexed as

Electronic Health RecordsMedical History TakingFamilyHumansReference Standards

Identifiers

PMID26958303
PMCPMC4765557

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.