Evidence map›Paper›PMID 28339629›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Orders on file but no labs drawn: investigation of machine and human errors caused by an interface idiosyncrasy.

Richard Schreiber, Dean F Sittig, Joan Ash, Adam Wright

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. A scoping review of rule-based clinical decision support malfunctions.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  2. Article
  3. Nurse workarounds in the electronic health record: An integrative review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  4. Smashing the strict hierarchy: three cases of clinical decision support malfunctions involving carvedilol.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  5. Adherence to recommended electronic health record safety practices across eight health care organizations.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  6. Unintended adverse consequences of a clinical decision support system: two cases.Journal of the American Medical Informatics Association : JAMIA · 2018
    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.

Richard SchreiberHoly Spirit-A Geisinger Affiliate, Camp Hill, PA, USA.
Dean F SittigUniversity of Texas Health Science Center at Houston's School of Biomedical Informatics and the UT-Memorial Hermann Center for Healthcare Quality & Safety, Houston, TX, USA.
Joan AshDepartment of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, OR, USA.
Adam WrightBrigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Partners HealthCare, Boston, MA, USA.

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

In this report, we describe 2 instances in which expert use of an electronic health record (EHR) system interfaced to an external clinical laboratory information system led to unintended consequences wherein 2 patients failed to have laboratory tests drawn in a timely manner. In both events, user actions combined with the lack of an acknowledgment message describing the order cancellation from the external clinical system were the root causes. In 1 case, rapid, near-simultaneous order entry was the culprit; in the second, astute order management by a clinician, unaware of the lack of proper 2-way interface messaging from the external clinical system, led to the confusion. Although testing had shown that the laboratory system would cancel duplicate laboratory orders, it was thought that duplicate alerting in the new order entry system would prevent such events.

Indexed as

Clinical Laboratory TechniquesHealth Information InteroperabilityMedical ErrorsClinical Laboratory Information SystemsHumansMedical Order Entry SystemsMedical Records Systems, ComputerizedOrganizational Case StudiesUser-Computer Interfaceclinical decision supportCPOEmedical order entry systemsuser computer interfaces

Identifiers

PMID28339629
PMCPMC6080845

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.