Evidence map›Paper›PMID 27301748›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Health information exchange policies of 11 diverse health systems and the associated impact on volume of exchange.

N Lance Downing, Julia Adler-Milstein, Jonathan P Palma, Steven Lane, Matthew Eisenberg, Christopher Sharp, Northern California HIE Collaborative, Christopher A Longhurst

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Findings from 2017 on Health Information ManagementYearbook of medical informatics · 2018
    Pooled it
  2. Article
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  8. Observational
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  10. Review
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  14. Sociotechnical Analysis of Health Information Exchange Consent Processes in an HIV Clinic.The Journal of the Association of Nurses in AIDS Care : JANAC
    Observational
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

8 authors.

N Lance DowningDepartment of Medicine, Stanford University School of Medicine LDowning@stanford.edu.
Julia Adler-MilsteinSchool of Information and School of Public Health, University of Michigan.
Jonathan P PalmaDepartment of Medicine, Stanford University School of Medicine.
Steven LanePalo Alto Medical Foundation/Sutter Health, Palo Alto, CA.
Matthew EisenbergDepartment of Medicine, Stanford University School of Medicine.
Christopher SharpDepartment of Medicine, Stanford University School of Medicine.
Northern California HIE Collaborative
Christopher A LonghurstUC San Diego Health System.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProvider organizations increasingly have the ability to exchange patient health information electronically. Organizational health information exchange (HIE) policy decisions can impact the extent to which external information is readily available to providers, but this relationship has not been well studied.

objectiveOur objective was to examine the relationship between electronic exchange of patient health information across organizations and organizational HIE policy decisions. We focused on 2 key decisions: whether to automatically search for information from other organizations and whether to require HIE-specific patient consent.

methodsWe conducted a retrospective time series analysis of the effect of automatic querying and the patient consent requirement on the monthly volume of clinical summaries exchanged. We could not assess degree of use or usefulness of summaries, organizational decision-making processes, or generalizability to other vendors.

resultsBetween 2013 and 2015, clinical summary exchange volume increased by 1349% across 11 organizations. Nine of the 11 systems were set up to enable auto-querying, and auto-querying was associated with a significant increase in the monthly rate of exchange (P = .006 for change in trend). Seven of the 11 organizations did not require patient consent specifically for HIE, and these organizations experienced a greater increase in volume of exchange over time compared to organizations that required consent.

conclusionsAutomatic querying and limited consent requirements are organizational HIE policy decisions that impact the volume of exchange, and ultimately the information available to providers to support optimal care. Future efforts to ensure effective HIE may need to explicitly address these factors.

Indexed as

Health Facility AdministrationOrganizational PolicyCaliforniaElectronic Health RecordsHealth Information ExchangeHumansInformed ConsentRetrospective StudiesEHRelectronic health recordHIEhigh value care

Identifiers

PMID27301748
PMCPMC7654085

What OpenQuestion holds

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LicenceCC BY
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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.