Evidence map›Paper›PMID 27830246›Full record

ArticleYearbook of medical informatics2016

The Unintended Consequences of Health Information Technology Revisited.

E Coiera, J Ash, M Berg

Open access · bronzeAbstract read
In one paragraph

Article 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 48 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 6 pooled it
21.8field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 6 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
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  5. Conversational agents in healthcare: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
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  7. Engaging hospital patients in the medication reconciliation process using tablet computers.Journal of the American Medical Informatics Association : JAMIA · 2018
    Trial
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  20. Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022
    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

3 authors at 3 institutions in 3 countries.

E CoieraEnrico Coiera, Australian Institute of Health Innovation, Macquarie University, Australia, E-mail: enrico.coiera@mq.edu.au.
J Ash
M Berg
KPMG (United Kingdom) · GBMacquarie University · AUOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe introduction of health information technology into clinical settings is associated with unintended negative consequences, some with the potential to lead to error and patient harm. As adoption rates soar, the impact of these hazards will increase.

objectiveOver the last decade, unintended consequences have received great attention in the medical informatics literature, and this paper seeks to identify the major themes that have emerged.

resultsRich typologies of the causes of unintended consequences have been developed, along with a number of explanatory frameworks based on socio-technical systems theory. We however still have only limited data on the frequency and impact of these events, as most studies rely on data sets from incident reporting or patient chart reviews, rather than undertaking detailed observational studies. Such data are increasingly needed as more organizations implement health information technologies. When outcome studies have been done in different organizations, they reveal different outcomes for identical systems. From a theoretical perspective, recent advances in the emerging discipline of implementation science have much to offer in explaining the origin, and variability, of unintended consequences.

conclusionThe dynamic nature of health care service organizations, and the rapid development and adoption of health information technologies means that unintended consequences are unlikely to disappear, and we therefore must commit to developing robust systems to detect and manage them.

Indexed as

Medical InformaticsUser-Computer InterfaceCognitionElectronic Health RecordsHumansRisk Managementcomputer provider order entryelectronic health recordserrorhuman-computer interactionincident reportingSafety

Identifiers

PMID27830246
PMCPMC5171576
OpenAlexW2554844626

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.