Evidence map›Paper›PMID 25954386›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

Applications of health information exchange information to public health practice.

Patrick Kierkegaard, Rainu Kaushal, Joshua R Vest

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Linking the health data system in the U.S.: Challenges to the benefits.International journal of nursing sciences · 2017
    Review
  7. Review
  8. Article
  9. 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

3 authors.

Patrick KierkegaardDepartment of Computer Science, University of Copenhagen, Denmark.
Rainu KaushalCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY ; Department of Healthcare Policy and Research, Weill Cornell Medical College, New York NY ; Department of Medicine, Weill Cornell Medical College, New York, NY ; Department of Pediatrics, Weill Cornell Medical College, New York, NY ; NewYork-Presbyterian Hospital, New York, NY.
Joshua R VestCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY ; Department of Healthcare Policy and Research, Weill Cornell Medical College, New York NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased information availability, timeliness, and comprehensiveness through health information exchange (HIE) can support public health practice. The potential benefits to disease monitoring, disaster response, and other public health activities served as an important justification for the US' investments in HIE. After several years of HIE implementation and funding, we sought to determine if any of the anticipated benefits of exchange participation were accruing to state and local public health practitioners participating in five different exchanges. Using qualitative interviews and template analyses, we identified public health efforts and activities that were improved by participation in HIE. HIE supported public health activities consistent with expectations in the literature. However, no single department realized all the potential benefits of HIE identified. These findings suggest ways to improve HIE usage in public health.

Indexed as

Health Information ExchangePublic Health PracticeHealth Information SystemsInterviews as TopicUnited States

Identifiers

PMID25954386
PMCPMC4419901

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.