Evidence map›Paper›PMID 27830228›Full record

ReviewYearbook of medical informatics2016

Methods for Addressing Technology-induced Errors: The Current State.

E Borycki, J W Dexheimer, C Hullin Lucay Cossio, Y Gong, S Jensen, J Kaipio, S Kennebeck, E Kirkendall, A W Kushniruk, C Kuziemsky and 6 more

Open access · hybridAbstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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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

16 authors at 12 institutions in 9 countries.

E BoryckiElizabeth Borycki, Professor, School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada, E-mail: emb@uvic.ca.
J W Dexheimer
C Hullin Lucay Cossio
Y Gong
S Jensen
J Kaipio
S Kennebeck
E Kirkendall
A W Kushniruk
C Kuziemsky
R Marcilly
R Röhrig
K Saranto
Y Senathirajah
J Weber
H Takeda
Cincinnati Children's Hospital Medical Center · USUniversity of Victoria · CAAalto University · FICarl von Ossietzky Universität Oldenburg · DECentro de Estudios Científicos · CLGraduate School of Health Care Sciences, Jikei Institute · JPInserm · FRInstitute of Advanced Manufacturing Technology · CNSUNY Downstate Health Sciences University · USUniversité Clermont Auvergne · FRUniversity of Eastern Finland · FIUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objectives of this paper are to review and discuss the methods that are being used internationally to report on, mitigate, and eliminate technology-induced errors.

methodsThe IMIA Working Group for Health Informatics for Patient Safety worked together to review and synthesize some of the main methods and approaches associated with technology- induced error reporting, reduction, and mitigation. The work involved a review of the evidence-based literature as well as guideline publications specific to health informatics.

resultsThe paper presents a rich overview of current approaches, issues, and methods associated with: (1) safe HIT design, (2) safe HIT implementation, (3) reporting on technology-induced errors, (4) technology-induced error analysis, and (5) health information technology (HIT) risk management. The work is based on research from around the world.

conclusionsInternationally, researchers have been developing methods that can be used to identify, report on, mitigate, and eliminate technology-induced errors. Although there remain issues and challenges associated with the methodologies, they have been shown to improve the quality and safety of HIT. Since the first publications documenting technology-induced errors in healthcare in 2005, we have seen in a short 10 years researchers develop ways of identifying and addressing these types of errors. We have also seen organizations begin to use these approaches. Knowledge has been translated into practice in a short ten years whereas the norm for other research areas is of 20 years.

Indexed as

Electronic Health RecordsMedical InformaticsHealth Information SystemsHumansPatient SafetyRisk ManagementTechnology Assessment, Biomedicalhealth information technologypatient safetyrisk managementsafetyTechnology-induced error

Identifiers

PMID27830228
PMCPMC5171580
OpenAlexW2555099283

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.