Evidence map›Paper›PMID 27026616›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Analysis of clinical decision support system malfunctions: a case series and survey.

Adam Wright, Thu-Trang T Hickman, Dustin McEvoy, Skye Aaron, Angela Ai, Jan Marie Andersen, Salman Hussain, Rachel Ramoni, Julie Fiskio, Dean F Sittig and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
44.4field-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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 128 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Development and application of desiderata for automated clinical ordering.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. A scoping review of rule-based clinical decision support malfunctions.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  12. Article
  13. Clinical decision support malfunctions related to medication routes: a case series.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Clinician collaboration to improve clinical decision support: the Clickbusters initiative.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  18. Review
  19. Article
  20. Review

2 more citing papers are in PubMed but not listed here.

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

11 authors at 5 institutions in 1 country.

Adam WrightBrigham & Women's Hospital, Boston, MA, USA awright@bwh.harvard.edu.
Thu-Trang T HickmanBrigham & Women's Hospital, Boston, MA, USA.
Dustin McEvoyPartners HealthCare, Boston, MA, USA.
Skye AaronBrigham & Women's Hospital, Boston, MA, USA.
Angela AiBrigham & Women's Hospital, Boston, MA, USA.
Jan Marie AndersenBrigham & Women's Hospital, Boston, MA, USA.
Salman HussainBrigham & Women's Hospital, Boston, MA, USA.
Rachel RamoniHarvard Medical School, Boston, MA, USA.
Julie FiskioBrigham & Women's Hospital, Boston, MA, USA.
Dean F SittigUniversity of Texas Health Science Center, Houston, TX, USA.
David W BatesBrigham & Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USMass General Brigham · USDartmouth Institute for Health Policy and Clinical Practice · USThe University of Texas Health Science Center at Houston · US

Funding

Improving clinical decision support reliability using anomaly detection methodsR01LM011966 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WRIGHT, ADAM T · 2014 to 2017
$2.4M
NLM NIH HHS R01 LM011966
6 · The paper itself

Abstract

objectiveTo illustrate ways in which clinical decision support systems (CDSSs) malfunction and identify patterns of such malfunctions. MATERIALS AND

methodsWe identified and investigated several CDSS malfunctions at Brigham and Women's Hospital and present them as a case series. We also conducted a preliminary survey of Chief Medical Information Officers to assess the frequency of such malfunctions.

resultsWe identified four CDSS malfunctions at Brigham and Women's Hospital: (1) an alert for monitoring thyroid function in patients receiving amiodarone stopped working when an internal identifier for amiodarone was changed in another system; (2) an alert for lead screening for children stopped working when the rule was inadvertently edited; (3) a software upgrade of the electronic health record software caused numerous spurious alerts to fire; and (4) a malfunction in an external drug classification system caused an alert to inappropriately suggest antiplatelet drugs, such as aspirin, for patients already taking one. We found that 93% of the Chief Medical Information Officers who responded to our survey had experienced at least one CDSS malfunction, and two-thirds experienced malfunctions at least annually. DISCUSSION: CDSS malfunctions are widespread and often persist for long periods. The failure of alerts to fire is particularly difficult to detect. A range of causes, including changes in codes and fields, software upgrades, inadvertent disabling or editing of rules, and malfunctions of external systems commonly contribute to CDSS malfunctions, and current approaches for preventing and detecting such malfunctions are inadequate.

conclusionCDSS malfunctions occur commonly and often go undetected. Better methods are needed to prevent and detect these malfunctions.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsMonitoring, PhysiologicAmiodaroneBostonChild, PreschoolEquipment FailureHospitals, SpecialHumansLead PoisoningMedical ErrorsMedical Order Entry SystemsOrganizational Case StudiesSoftwareAmiodaroneanomaly detectionclinical decision supportelectronic health recordsmachine learningsafety

Identifiers

PMID27026616
PMCPMC5070518
OpenAlexW2330482840

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.