Evidence map›Paper›PMID 24551426›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Enabling cross-platform clinical decision support through Web-based decision support in commercial electronic health record systems: proposal and evaluation of initial prototype implementations.

Mingyuan Zhang, Ferdinand T Velasco, R Clayton Musser, Kensaku Kawamoto

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016
    Review
  5. Article
  6. Article
  7. 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.

Mingyuan ZhangUniversity of Utah, Salt Lake City, UT;
Ferdinand T VelascoTexas Health Resources, Arlington, TX;
R Clayton MusserDuke University Health System, Durham, NC.
Kensaku KawamotoUniversity of Utah, Salt Lake City, UT;

Funding

Enabling Personalized Medicine through Clincal Decision SupportK01HG004645 · NHGRI · DUKE UNIVERSITY · PI KAWAMOTO, KENSAKU · 2008 to 2010
$559k
NHGRI NIH HHS K01 HG004645NHGRI NIH HHS K01HG004645
6 · The paper itself

Abstract

Enabling clinical decision support (CDS) across multiple electronic health record (EHR) systems has been a desired but largely unattained aim of clinical informatics, especially in commercial EHR systems. A potential opportunity for enabling such scalable CDS is to leverage vendor-supported, Web-based CDS development platforms along with vendor-supported application programming interfaces (APIs). Here, we propose a potential staged approach for enabling such scalable CDS, starting with the use of custom EHR APIs and moving towards standardized EHR APIs to facilitate interoperability. We analyzed three commercial EHR systems for their capabilities to support the proposed approach, and we implemented prototypes in all three systems. Based on these analyses and prototype implementations, we conclude that the approach proposed is feasible, already supported by several major commercial EHR vendors, and potentially capable of enabling cross-platform CDS at scale.

Indexed as

Decision Support Systems, ClinicalMedical Records Systems, ComputerizedCommerceFeasibility StudiesHumansInternetRisk AssessmentSoftwareSystems Integration

Identifiers

PMID24551426
PMCPMC3900165

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.