Evidence map›Paper›PMID 24696396›Full record

ReviewJournal of medical systems2014

A review of analytics and clinical informatics in health care.

Allan F Simpao, Luis M Ahumada, Jorge A Gálvez, Mohamed A Rehman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical systems, 2014. 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. Review
  2. Review
  3. Article
  4. Centralized and Federated Models for the Analysis of Clinical Data.Annual review of biomedical data science · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Clinician collaboration to improve clinical decision support: the Clickbusters initiative.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Allan F SimpaoDepartment of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, 34th Street and Civic Center Blvd., Suite 9329, Philadelphia, PA, 19104-4399, USA, simpaoa@email.chop.edu.
Luis M Ahumada
Jorge A Gálvez
Mohamed A Rehman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Federal investment in health information technology has incentivized the adoption of electronic health record systems by physicians and health care organizations; the result has been a massive rise in the collection of patient data in electronic form (i.e. "Big Data"). Health care systems have leveraged Big Data for quality and performance improvements using analytics-the systematic use of data combined with quantitative as well as qualitative analysis to make decisions. Analytics have been utilized in various aspects of health care including predictive risk assessment, clinical decision support, home health monitoring, finance, and resource allocation. Visual analytics is one example of an analytics technique with an array of health care and research applications that are well described in the literature. The proliferation of Big Data and analytics in health care has spawned a growing demand for clinical informatics professionals who can bridge the gap between the medical and information sciences.

Indexed as

User-Computer InterfaceElectronic Health RecordsHumansMedical Informatics

Identifiers

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.