Evidence map›Paper›PMID 26017230›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Assessing information system readiness for mitigating malpractice risk through simulation: results of a multi-site study.

Adam Wright, Francine L Maloney, Matthew Wien, Lipika Samal, Srinivas Emani, Gianna Zuccotti

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Adam WrightPartners HealthCare, Boston, MA, USA Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA awright5@partners.org.
Francine L MaloneyBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Matthew WienBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lipika SamalBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Srinivas EmaniPartners HealthCare, Boston, MA, USA.
Gianna ZuccottiPartners HealthCare, Boston, MA, USA Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA CRICO/Risk Management Foundation, Cambridge, MA, USA.

Funding

Health Information Technology for Chronic Kidney Disease ManagementK23DK097187 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMAL, LIPIKA · 2013 to 2017
$920k
NIDDK NIH HHS K23 DK097187
6 · The paper itself

Abstract

objectiveTo develop and test an instrument for assessing a healthcare organization's ability to mitigate malpractice risk through clinical decision support (CDS). MATERIALS AND

methodsBased on a previously collected malpractice data set, we identified common types of CDS and the number and cost of malpractice cases that might have been prevented through this CDS. We then designed clinical vignettes and questions that test an organization's CDS capabilities through simulation. Seven healthcare organizations completed the simulation.

resultsAll seven organizations successfully completed the self-assessment. The proportion of potentially preventable indemnity loss for which CDS was available ranged from 16.5% to 73.2%. DISCUSSION: There is a wide range in organizational ability to mitigate malpractice risk through CDS, with many organizations' electronic health records only being able to prevent a small portion of malpractice events seen in a real-world dataset.

conclusionThe simulation approach to assessing malpractice risk mitigation through CDS was effective. Organizations should consider using malpractice claims experience to facilitate prioritizing CDS development.

Indexed as

Computer SimulationDecision Support Systems, ClinicalElectronic Health RecordsMalpracticeDecision Making, Computer-AssistedRiskSoftwareUser-Computer Interfaceclinical decision support systemselectronic health recordshealth information technology

Identifiers

PMID26017230
PMCPMC6283077

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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.