Evidence map›Paper›PMID 26335982›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Does integrating nonurgent, clinically significant radiology alerts within the electronic health record impact closed-loop communication and follow-up?

Stacy D O'Connor, Anuj K Dalal, V Anik Sahni, Ronilda Lacson, Ramin Khorasani

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Stacy D O'ConnorCenter for Evidence Based Imaging, Brookline, Massachusetts, USA Department of Radiology Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA sdoconnor@partners.org.
Anuj K DalalCenter for Evidence Based Imaging, Brookline, Massachusetts, USA Department of Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
V Anik SahniCenter for Evidence Based Imaging, Brookline, Massachusetts, USA Department of Radiology Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ronilda LacsonCenter for Evidence Based Imaging, Brookline, Massachusetts, USA.
Ramin KhorasaniCenter for Evidence Based Imaging, Brookline, Massachusetts, USA Department of Radiology Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NLM NIH HHS T15 LM007092NLM NIH HHS T15LM007092
6 · The paper itself

Abstract

objectiveTo assess whether integrating critical result management software--Alert Notification of Critical Results (ANCR)--with an electronic health record (EHR)-based results management application impacts closed-loop communication and follow-up of nonurgent, clinically significant radiology results by primary care providers (PCPs). MATERIALS AND

methodsThis institutional review board-approved study was conducted at a large academic medical center. Postintervention, PCPs could acknowledge nonurgent, clinically significant ANCR-generated alerts ("alerts") within ANCR or the EHR. Primary outcome was the proportion of alerts acknowledged via EHR over a 24-month postintervention. Chart abstractions for a random sample of alerts 12 months preintervention and 24 months postintervention were reviewed, and the follow-up rate of actionable alerts (eg, performing follow-up imaging, administering antibiotics) was estimated. Pre- and postintervention rates were compared using the Fisher exact test. Postintervention follow-up rate was compared for EHR-acknowledged alerts vs ANCR.

resultsFive thousand nine hundred and thirty-one alerts were acknowledged by 171 PCPs, with 100% acknowledgement (consistent with expected ANCR functionality). PCPs acknowledged 16% (688 of 4428) of postintervention alerts in the EHR, with the remaining in ANCR. Follow-up was documented for 85 of 90 (94%; 95% CI, 88%-98%) preintervention and 79 of 84 (94%; 95% CI, 87%-97%) postintervention alerts (P > .99). Postintervention, 11 of 14 (79%; 95% CI, 52%-92%) alerts were acknowledged via EHR and 68 of 70 (97%; 95% CI, 90%-99%) in ANCR had follow-up (P = .03).

conclusionsIntegrating ANCR and EHR provides an additional workflow for acknowledging nonurgent, clinically significant results without significant change in rates of closed-loop communication or follow-up of alerts.

Indexed as

Electronic Health RecordsRadiologyReminder SystemsSoftwareTeach-Back CommunicationAcademic Medical CentersAftercareContinuity of Patient CareHumansMonitoring, PhysiologicPhysicians, Primary CareSystems Integrationelectronic health recordshospital communication systemsradiology information systemssoftwaresoftware design

Identifiers

PMID26335982
PMCPMC5009922

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.