Evidence map›Paper›PMID 17213499›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Integrating incident reporting into an electronic patient record system.

Guy Haller, Paul S Myles, Johannes Stoelwinder, Mark Langley, Hugh Anderson, John McNeil

Abstract readEvaluation Study
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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Interventions to increase clinical incident reporting in health care.The Cochrane database of systematic reviews · 2012
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Development of a validation algorithm for 'present on admission' flagging.BMC medical informatics and decision making · 2009
    Article
  7. Article
  8. Article
  9. Article
  10. Using electronic medical records to enhance detection and reporting of vaccine adverse events.Journal of the American Medical Informatics Association : JAMIA
    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.

Guy HallerDepartment of Anesthesia & Perioperative Medicine Alfred Hospital, Melbourne, Australia. Guy.Haller@hcuge.ch
Paul S Myles
Johannes Stoelwinder
Mark Langley
Hugh Anderson
John McNeil

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developments in information technology offer new opportunities to design electronic patient record systems (EPR) which integrate a broad range of functions such as clinical decision support, order entry, or electronic alerts. It has been recently suggested that EPR could support new applications for disease surveillance and patient safety. We describe the integration of a voluntary incident reporting system into an EPR used in operating theatres, to allow the reporting of accidents and preventable complications. We assessed system's reliability and users' acceptance. During the 4-years observation period (2002-2006), 48,983 interventional procedures were performed. Clinicians documented 85.1% of procedures on the incident reporting form. Agreement between chart review and electronically reported incidents was 80.6%. The integration of an incident reporting system into an EPR is reliable and well supported by health care professionals.

Indexed as

AdultAgedAttitude of Health PersonnelHospital Information SystemsHumansMedical Records Systems, ComputerizedMiddle AgedOperating RoomsRisk ManagementSystems Integration

Identifiers

PMID17213499
PMCPMC2213474

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.