Evidence map›Paper›PMID 22690967›Full record

ArticleAmerican journal of public health2012

Integrating clinical practice and public health surveillance using electronic medical record systems.

Michael Klompas, Jason McVetta, Ross Lazarus, Emma Eggleston, Gillian Haney, Benjamin A Kruskal, W Katherine Yih, Patricia Daly, Paul Oppedisano, Brianne Beagan and 5 more

Abstract read
In one paragraph

Article in American journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Blood Pressure in Young Adults in Iowa.Journal of clinical hypertension (Greenwich, Conn.) · 2025
    Observational
  5. Article
  6. Article
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  8. Observational
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  10. Review
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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

15 authors.

Michael KlompasHarvard Medical School, and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA. mklompas@partners.org
Jason McVetta
Ross Lazarus
Emma Eggleston
Gillian Haney
Benjamin A Kruskal
W Katherine Yih
Patricia Daly
Paul Oppedisano
Brianne Beagan
Michael Lee
Chaim Kirby
Dawn Heisey-Grove
Alfred DeMaria
Richard Platt

Funding

PHITPO CDC HHS 1P01HK00088PHITPO CDC HHS P01 HK000088
6 · The paper itself

Abstract

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. We describe a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Indexed as

AlgorithmsElectronic Health RecordsDelivery of Health Care, IntegratedDiabetes MellitusDisease NotificationHumansPopulation SurveillancePrimary Health CareUnited States

Identifiers

PMID22690967
PMCPMC3478075

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.