Evidence map›Paper›PMID 17068355›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA

Medication-related clinical decision support in computerized provider order entry systems: a review.

Gilad J Kuperman, Anne Bobb, Thomas H Payne, Anthony J Avery, Tejal K Gandhi, Gerard Burns, David C Classen, David W Bates

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 295 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
295citing papers in PubMed, 9 pooled it
–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

295 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  12. Adherence to drug-drug interaction alerts in high-risk patients: a trial of context-enhanced alerting.Journal of the American Medical Informatics Association : JAMIA · 2013
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  18. Evaluating NLP Approaches to Extract Drug Indications.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
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  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Gilad J KupermanQuality Informatics, NewYork-Presbyterian Hospital, 525 E. 68 Street, Box 298, New York, NY 10021, USA. gkuperman@nyp.org
Anne Bobb
Thomas H Payne
Anthony J Avery
Tejal K Gandhi
Gerard Burns
David C Classen
David W Bates

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While medications can improve patients' health, the process of prescribing them is complex and error prone, and medication errors cause many preventable injuries. Computer provider order entry (CPOE) with clinical decision support (CDS), can improve patient safety and lower medication-related costs. To realize the medication-related benefits of CDS within CPOE, one must overcome significant challenges. Healthcare organizations implementing CPOE must understand what classes of CDS their CPOE systems can support, assure that clinical knowledge underlying their CDS systems is reasonable, and appropriately represent electronic patient data. These issues often influence to what extent an institution will succeed with its CPOE implementation and achieve its desired goals. Medication-related decision support is probably best introduced into healthcare organizations in two stages, basic and advanced. Basic decision support includes drug-allergy checking, basic dosing guidance, formulary decision support, duplicate therapy checking, and drug-drug interaction checking. Advanced decision support includes dosing support for renal insufficiency and geriatric patients, guidance for medication-related laboratory testing, drug-pregnancy checking, and drug-disease contraindication checking. In this paper, the authors outline some of the challenges associated with both basic and advanced decision support and discuss how those challenges might be addressed. The authors conclude with summary recommendations for delivering effective medication-related clinical decision support addressed to healthcare organizations, application and knowledge base vendors, policy makers, and researchers.

Indexed as

Decision Support Systems, ClinicalDrug Therapy, Computer-AssistedMedical Order Entry SystemsContraindicationsFormularies as TopicHumansMedication ErrorsMedication Systems, HospitalPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID17068355
PMCPMC2215064

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.