Evidence map›Paper›PMID 11861625›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

AMIA advocates national health information system in fight against national health threats.

Paul C Tang, AMIA Public Policy Committee

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. A comparative study of the proposed models for the components of the national health information system.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2014
    Article
  3. Article
  4. Article
  5. Article
  6. Benchmarking information needs and use in the Tennessee public health community.Journal of the Medical Library Association : JMLA · 2003
    Article
  7. Article
  8. Data standards in clinical research: gaps, overlaps, challenges and future directions.Journal of the American Medical Informatics Association : JAMIA
    Article
  9. Integrating incident reporting into an electronic patient record system.Journal of the American Medical Informatics Association : JAMIA
    Article
  10. Medical informatics and preparedness.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Paul C TangPalo Alto Medical Foundation, Palo Alto, California 94301, USA. tang@smi.stanford.edu
AMIA Public Policy Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To protect public health and national safety, AMIA recommends that the federal government dedicate technologic resources and medical informatics expertise to create a national health information infrastructure (NHII). An NHII provides the underlying information utility that connects local health providers and health officials through high-speed networks to national data systems necessary to detect and track global threats to public health. AMIA strongly recommends the accelerated development and wide-scale deployment of electronic public health surveillance systems, computer-based patient records, and disaster-response information technologies. Such efforts hold the greatest potential to protect our citizens from disaster and to deliver the best health care if disaster strikes.

Indexed as

Disaster PlanningHumansInformation SystemsMedical Records Systems, ComputerizedOrganizational PolicyPatient Identification SystemsPopulation SurveillanceSocieties, MedicalUnited States

Identifiers

PMID11861625
PMCPMC344567

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.