Evidence map›Paper›PMID 25593568›Full record

ArticlePerspectives in health information managemen2014

Can utilizing a computerized provider order entry (CPOE) system prevent hospital medical errors and adverse drug events?

Krista Charles, Margaret Cannon, Robert Hall, Alberto Coustasse

Open access · greenAbstract read
In one paragraph

Article in Perspectives in health information managemen, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Combining text mining with clinical decision support in clinical practice: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  4. Article
  5. Effect of Computerized Physician Order Entry and Clinical Decision Support System on Adverse Drug Events Prevention in the Emergency Department: A Systematic Review.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Neural Networks for Clinical Order Decision Support.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Chemotherapy e-prescribing: opportunities and challenges.Integrated pharmacy research & practice · 2015
    Review
  18. Article
  19. 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 at 2 institutions in 1 country.

Krista CharlesKrista Charles, MS, is an alumni of the Healthcare Program of the College of Business at Marshall University, Graduate College, in South Charleston, West Virginia.
Margaret CannonMargaret Cannon, MS, is an alumni of the Healthcare Program of the College of Business at Marshall University, Graduate College, in South Charleston, West Virginia.
Robert HallRobert Hall, MS, is an alumni of the Healthcare Program of the College of Business at Marshall University, Graduate College, in South Charleston, West Virginia.
Alberto CoustasseAlberto Coustasse, DrPH, MD, MBA MPH, is an associate professor of the Healthcare Program of the College of Business at Marshall University, Graduate College, in South Charleston, West Virginia.
College of Charleston · USMarshall University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computerized provider order entry (CPOE) systems allow physicians to prescribe patient services electronically. In hospitals, CPOE essentially eliminates the need for handwritten paper orders and achieves cost savings through increased efficiency. The purpose of this research study was to examine the benefits of and barriers to CPOE adoption in hospitals to determine the effects on medical errors and adverse drug events (ADEs) and examine cost and savings associated with the implementation of this newly mandated technology. This study followed a methodology using the basic principles of a systematic review and referenced 50 sources. CPOE systems in hospitals were found to be capable of reducing medical errors and ADEs, especially when CPOE systems are bundled with clinical decision support systems designed to alert physicians and other healthcare providers of pending lab or medical errors. However, CPOE systems face major barriers associated with adoption in a hospital system, mainly high implementation costs and physicians' resistance to change.

Indexed as

HospitalsCosts and Cost AnalysisDecision Support Systems, ClinicalDrug-Related Side Effects and Adverse ReactionsHumansMedical ErrorsMedical Order Entry SystemsMedication ErrorsSystems IntegrationUnited Statesadverse drug eventscomputerized provider order entrycosthospitalsmeaningful usemedical errors

Identifiers

PMID25593568
PMCPMC4272436
OpenAlexW286123107

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.