Evidence map›Paper›PMID 28269860›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

Cognitive Errors in Reconciling Complex Medication Lists.

Jan Horsky, Harley Z Ramelson

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Process Mining and Ethnography Study of Medication Reconciliation Tasks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  3. Higher accuracy of complex medication reconciliation through improved design of electronic tools.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  4. In Search of Vital Signs: A Comparative Study of EHR Documentation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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

2 authors.

Jan HorskyBrigham &Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
Harley Z RamelsonBrigham &Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA; Partners HealthCare, Inc., Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discrepancies between multiple electronic versions of patient medication records contribute to adverse drug events. Regular reconciliation increases their accuracy but is often inadequately supported by EHRs. We evaluated two systems with conceptually different interface designs for their effectiveness in resolving discrepancies. Eleven clinicians reconciled a complex list of 16 medications using both EHRs in the same standardized scenario. Errors such as omissions to add or discontinue a drug or to update a dose were analyzed. Clinicians made three times as many errors working with an EHR with lists arranged in a single column than when using a system with side-by-side lists. Excessive cognitive effort and reliance on memory was likely a strong contributing factor for lower accuracy of reconciliation. As errors increase with task difficulty, evaluations of reconciliation tools need to focus on complex prescribing scenarios to accurately assess effectiveness, error rate and whether they reduce risk to patient safety.

Indexed as

Electronic Health RecordsMedication ReconciliationUser-Computer InterfaceCognitionDrug-Related Side Effects and Adverse ReactionsHumansMedication Errors

Identifiers

PMID28269860
PMCPMC5333269

What OpenQuestion holds

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Registered trials

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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.