Evidence map›Paper›PMID 19550167›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2009

Commentary: Informatics in biomedicine and health care.

Robert A Greenes, Edward H Shortliffe

Abstract readComment
PubMed Publisher
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biomedical informatics and translational medicine.Journal of translational medicine · 2010
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Robert A GreenesBiomedical Informatics, Arizona State University, Phoenix, Arizona 85004, USA. greenes@asu.edu
Edward H Shortliffe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last two decades, biomedical informatics (BMI) has become a critical component in biomedical research and health care delivery, as evidenced by two recent phenomena. One, as discussed in the article by Bernstam and colleagues in this issue, has been the introduction of Clinical and Translational Science Awards. Perhaps even more important has been the recent, arguably long overdue, emphasis on deployment of health information technology (IT) nationally. BMI utilizes IT and computer science as tools and methods for improving data acquisition, data management, data analysis, and knowledge generation, but it is driven by a focus on applications based in deep understanding of the science and practice, problems, interactions, culture, and milieu of biomedicine and health. Building from Bernstam and colleagues' distinction between BMI and other IT disciplines, the authors discuss the evolving role of BMI professionals as individuals uniquely positioned to work within the human and organizational context and culture in which the IT is being applied. The focus is not on the IT but on the combination--the interactions of IT systems, human beings, and organizations aimed at achieving a particular purpose. There has never been a time when the need for individuals well trained in BMI--those who understand the complexities of the human, social, and organizational milieu of biomedicine and health--has been more critical than it is now, as the nation seeks to develop a national infrastructure for biomedicine and health care, and as these fields seek to broadly deploy IT wisely and appropriately.

Indexed as

Education, MedicalFaculty, MedicalMedical Informatics ApplicationsMedical Informatics ComputingBiomedical ResearchCareer ChoiceComputer SecurityDatabase Management SystemsData CollectionEfficiencyHealth Services AccessibilityHumansInterdisciplinary CommunicationMedical Records Systems, ComputerizedUnited States

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.