Evidence map›Paper›PMID 18029232›Full record

ReviewJournal of biomedical informatics2008

Grand challenges in clinical decision support.

Dean F Sittig, Adam Wright, Jerome A Osheroff, Blackford Middleton, Jonathan M Teich, Joan S Ash, Emily Campbell, David W Bates

2 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of biomedical informatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 223 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 7 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.

NCT02451670 nacompletednot on this mapstarted 2016, after this paper: background citation

Reducing Cardiovascular Risk in Adults With Serious Mental Illness Using an Electronic Medical Record-based Clinical Decision Support

TypeinterventionalSponsorHealthPartners InstituteRan2016 to 2018Enrolled10,347ConditionsChronic Disease, Mental Disorder, Health Behavior, Bipolar DisorderArmsPrioritized Clinical Decision Support
NCT03911687 nacompletednot on this mapstarted 2020, after this paper: background citation

Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System

TypeinterventionalSponsorColumbia UniversityRan2020 to 2022Enrolled60,893ConditionsHospital Acquired ConditionArmsCONCERN CDS system notification
3 · Its place in the literature

Who cites it

223 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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163 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.

Dean F SittigDepartment of Medical Informatics, Northwest Permanente, PC, Portland, OR, USA. dean.f.sittig@kp.org
Adam Wright
Jerome A Osheroff
Blackford Middleton
Jonathan M Teich
Joan S Ash
Emily Campbell
David W Bates

Funding

Unintended Consequences of Physician Order EntryR01LM006942 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI ASH, JOAN S. · 2000 to 2010
$4.0M
Clinical Decision Support in Community Hospitals: Barriers & FacilitatorsR56LM006942 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI ASH, JOAN S. · 2007 to 2007
$461k
NLM NIH HHS LM06942NLM NIH HHS R01 LM006942NLM NIH HHS R56 LM006942PHS HHS ASMMI0031
6 · The paper itself

Abstract

There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support capabilities for clinicians, patients and consumers. Using an iterative, consensus-building process we identified a rank-ordered list of the top 10 grand challenges in clinical decision support. This list was created to educate and inspire researchers, developers, funders, and policy-makers. The list of challenges in order of importance that they be solved if patients and organizations are to begin realizing the fullest benefits possible of these systems consists of: improve the human-computer interface; disseminate best practices in CDS design, development, and implementation; summarize patient-level information; prioritize and filter recommendations to the user; create an architecture for sharing executable CDS modules and services; combine recommendations for patients with co-morbidities; prioritize CDS content development and implementation; create internet-accessible clinical decision support repositories; use freetext information to drive clinical decision support; mine large clinical databases to create new CDS. Identification of solutions to these challenges is critical if clinical decision support is to achieve its potential and improve the quality, safety and efficiency of healthcare.

Indexed as

Decision Support TechniquesUser-Computer InterfaceDatabase Management SystemsDecision Support Systems, ClinicalInternationalityMedical Records Systems, Computerized

Identifiers

PMID18029232
PMCPMC2660274

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.