Evidence map›Paper›PMID 31407781›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Putting the "why" in "EHR": capturing and coding clinical cognition.

James J Cimino

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  18. Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout?Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  19. Formal representation of patients' care context data: the path to improving the electronic health record.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  20. Review
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

1 author.

James J CiminoInformatics Institute, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Funding

UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
Improving Patient Reported Outcome Data for Research through Seamless Integration of the PROMIS Toolkit into EHR WorkflowsU01TR001806 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI STARREN, JUSTIN B. · 2016 to 2019
$6.3M
NCATS NIH HHS U01 TR001806NCATS NIH HHS UL1 TR001417
6 · The paper itself

Abstract

Complaints about electronic health records, including information overload, note bloat, and alert fatigue, are frequent topics of discussion. Despite substantial effort by researchers and industry, complaints continue noting serious adverse effects on patient safety and clinician quality of life. I believe solutions are possible if we can add information to the record that explains the "why" of a patient's care, such as relationships between symptoms, physical findings, diagnostic results, differential diagnoses, therapeutic plans, and goals. While this information may be present in clinical notes, I propose that we modify electronic health records to support explicit representation of this information using formal structure and controlled vocabularies. Such information could foster development of more situation-aware tools for data retrieval and synthesis. Informatics research is needed to understand what should be represented, how to capture it, and how to benefit those providing the information so that their workload is reduced.

Indexed as

Artificial IntelligenceElectronic Health RecordsUser-Computer InterfaceClinical CodingCognitionHumansInformation Storage and RetrievalVocabulary, ControlledWorkloadartificial intelligenceclinical decision supportelectronic health recordsknowledge representationlearning health system

Identifiers

PMID31407781
PMCPMC6798564

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.