Evidence map›Paper›PMID 17600107›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Implementing Single Source: the STARBRITE proof-of-concept study.

Rebecca Kush, Liora Alschuler, Roberto Ruggeri, Sally Cassells, Nitin Gupta, Landen Bain, Karen Claise, Monica Shah, Meredith Nahm

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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Collaborative Program to Evaluate Real World Data for Use in Clinical Studies and Regulatory Decision Making.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  6. Article
  7. Article
  8. La Revue de medecine interne · 2020
    Article
  9. Evaluating the Coverage of the HL7AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  10. Integrating Medication Alert Data into a Clinical Data Repository to Enable Retrospective Study of Drug Interaction Alerts in Clinical Practice.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  11. A SOA-Based Platform to Support Clinical Data Sharing.Journal of healthcare engineering · 2017
    Article
  12. Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  13. Review
  14. Article
  15. Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    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

9 authors.

Rebecca KushThe Clinical Data Interchange Standards Consortium, Austin, TX, USA.
Liora Alschuler
Roberto Ruggeri
Sally Cassells
Nitin Gupta
Landen Bain
Karen Claise
Monica Shah
Meredith Nahm

Funding

Pilot Project for the DTMI CRA ProgramUL1RR024128 · NCRR · DUKE UNIVERSITY · PI CALIFF, ROBERT M · 2006 to 2010
$48.1M
NCRR NIH HHS UL1 RR024128
6 · The paper itself

Abstract

objectiveInefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow.

designWe developed and used a point-of-care electronic data capture system to record data during patient visits. The standards-based system was used for clinical research and to generate the clinic note for the medical record. The system worked in parallel with data collection procedures already in place for an ongoing multicenter clinical trial. Our system was iteratively designed after analyzing case report forms and clinic notes, and observing clinic workflow patterns and business procedures. Existing data standards from CDISC and HL7 were used for database insertion and clinical document exchange.

resultsOur system was successfully integrated into the clinic environment and used in two live test cases without disrupting existing workflow. Analyses performed during system design yielded detailed information on practical issues affecting implementation of systems that automatically extract, store, and reuse healthcare data.

conclusionAlthough subject to the limitations of a small feasibility study, our study demonstrates that electronic patient data can be reused for prospective multicenter clinical research and patient care, and demonstrates a need for further development of therapeutic area standards that can facilitate researcher use of healthcare data.

Indexed as

Medical Records Systems, ComputerizedPoint-of-Care SystemsClinical Trials as TopicComputer SystemsData CollectionFeasibility StudiesForms and Records ControlHospital Information SystemsHumansSoftwareUser-Computer Interface

Identifiers

PMID17600107
PMCPMC1975790

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.