Evidence map›Paper›PMID 23758310›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2013

Computer-facilitated review of electronic medical records reliably identifies emergency department interventions in older adults.

Kevin J Biese, Cory R Forbach, Richard P Medlin, Timothy F Platts-Mills, Matthew J Scholer, Brenda McCall, Frances S Shofer, Michael LaMantia, Cherri Hobgood, J S Kizer and 2 more

Abstract readComparative Study
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2013. 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. Article
  2. Article
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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

12 authors.

Kevin J BieseDepartment of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. kbiese@med.unc.edu
Cory R Forbach
Richard P Medlin
Timothy F Platts-Mills
Matthew J Scholer
Brenda McCall
Frances S Shofer
Michael LaMantia
Cherri Hobgood
J S Kizer
Jan Busby-Whitehead
Charles B Cairns

Funding

PREDOCTORAL/POSTDOCTORAL TRAINING HLTH CARE AGING REST32AG000272 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DILWORTH-ANDERSON, PEGGYE · 2001 to 2013
$2.3M
NIA NIH HHS T32 AG000272
6 · The paper itself

Abstract

objectivesAn estimated 14% to 25% of all scientific studies in peer-reviewed emergency medicine (EM) journals are medical records reviews. The majority of the chart reviews in these studies are performed manually, a process that is both time-consuming and error-prone. Computer-based text search engines have the potential to enhance chart reviews of electronic emergency department (ED) medical records. The authors compared the efficiency and accuracy of a computer-facilitated medical record review of ED clinical records of geriatric patients with a traditional manual review of the same data and describe the process by which this computer-facilitated review was completed.

methodsClinical data from consecutive ED patients age 65 years or older were collected retrospectively by manual and computer-facilitated medical record review. The frequency of three significant ED interventions in older adults was determined using each method. Performance characteristics of each search method, including sensitivity and positive predictive value, were determined, and the overall sensitivities of the two search methods were compared using McNemar's test.

resultsFor 665 patient visits, there were 49 (7.4%) Foley catheters placed, 36 (5.4%) sedative medications administered, and 15 (2.3%) patients who received positive pressure ventilation. The computer-facilitated review identified more of the targeted procedures (99 of 100, 99%), compared to manual review (74 of 100 procedures, 74%; p < 0.0001).

conclusionsA practical, non-resource-intensive, computer-facilitated free-text medical record review was completed and was more efficient and accurate than manually reviewing ED records.

Indexed as

Medical AuditNumerical Analysis, Computer-AssistedAgedAged, 80 and overEfficiency, OrganizationalElectronic Health RecordsEmergency Service, HospitalFemaleHumansMaleReproducibility of ResultsRetrospective Studies

Identifiers

PMID23758310
PMCPMC5936073

What OpenQuestion holds

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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.