Evidence map›Paper›PMID 18999078›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Early experiences in evolving an enterprise-wide information model for laboratory and clinical observations.

Elizabeth S Chen, Li Zhou, Vipul Kashyap, Molly Schaeffer, Patricia C Dykes, Howard S Goldberg

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Multi-source development of an integrated model for family health history.Journal of the American Medical Informatics Association : JAMIA · 2015
    Article
  2. A multi-site content analysis of social history information in clinical notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  3. An OWL meta-ontology for representing the Clinical Element Model.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  4. Towards Semantic-Web Based Representation and Harmonization of Standard Meta-data Models for Clinical Studies.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2011
    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

6 authors.

Elizabeth S ChenClinical Informatics Research & Development, Partners HealthCare System, Wellesley, MA, USA.
Li Zhou
Vipul Kashyap
Molly Schaeffer
Patricia C Dykes
Howard S Goldberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As Electronic Healthcare Records become more prevalent, there is an increasing need to ensure unambiguous data capture, interpretation, and exchange within and across heterogeneous applications. To address this need, a common, uniform, and comprehensive approach for representing clinical information is essential. At Partners HealthCare System, we are investigating the development and implementation of enterprise-wide information models to specify the representation of clinical information to support semantic interoperability. This paper summarizes our early experiences in: (1) defining a process for information model development, (2) reviewing and comparing existing healthcare information models, (3) identifying requirements for representation of laboratory and clinical observations, and (4) exploring linkages to existing terminology and data standards. These initial findings provide insight to the various challenges ahead and guidance on next steps for adoption of information models at our organization.

Indexed as

Databases, FactualSystems IntegrationAutomation, LaboratoryDecision Support Systems, ClinicalInformation Storage and RetrievalMassachusettsMedical InformaticsMedical Records Systems, ComputerizedPilot Projects

Identifiers

PMID18999078
PMCPMC2656065

What OpenQuestion holds

Textmetadata
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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.