Evidence map›Paper›PMID 26958221›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Analysis of empty responses from electronic resources in infobutton managers.

Jie Long, Nathan C Hulse, Cui Tao

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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie LongIntermountain Healthcare, Salt Lake City, UT.
Nathan C HulseIntermountain Healthcare, Salt Lake City, UT; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Cui TaoUniversity of Texas School of Biomedical Informatics, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infobuttons provide context-aware educational materials to both providers and patients and are becoming an important element in modern electronic health records (EHR) and patient health records (PHR). However, the content from different electronic resources (e-resource) as responses from infobutton manager has not been fully analyzed and evaluated. In this paper, we propose a method for automatically analyzing responses from infobutton manager. A tool is implemented to retrieve and analyze responses from infobutton manager. To test the tool, we extracted and sampled common and uncommon concepts from EHR usage data in Intermountain Healthcare's enterprise data warehouse. From the output of the tool, we evaluate infobutton performance by multiple categories, including against the most and less common used concepts, grouped by different modules in patient portal, by different e-resources, and by type of access (standardized Health Level Seven (HL7) vs not). Based on the results of our evaluation, we provide suggestions for further enhancements of infobuttons to the current implementation, including suggesting accessing priorities of e-resources and encouraging the use of the HL7 standard.

Indexed as

Electronic Health RecordsUser-Computer InterfaceData Interpretation, StatisticalHealth Level SevenInformation Storage and Retrieval

Identifiers

PMID26958221
PMCPMC4765673

What OpenQuestion holds

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Registered trials

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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.