Evidence map›Paper›PMID 29126196›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2018

Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.

Kristen Miller, Danielle Mosby, Muge Capan, Rebecca Kowalski, Raj Ratwani, Yaman Noaiseh, Rachel Kraft, Sanford Schwartz, William S Weintraub, Ryan Arnold

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing 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.

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

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

  1. Pooled it
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  8. Trial
  9. Article
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  11. Review
  12. Promise and Caution: Mapping Opportunities for AI Decision Support in Emergency Medical Services.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
    Article
  13. Article
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  15. Review
  16. Article
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  18. Review
  19. A Discount Approach to Reducing Nursing Alert Burden.Applied clinical informatics · 2024
    Article
  20. Article

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

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

10 authors.

Kristen MillerNational Center for Human Factors in Healthcare, MedStar Health, Washington, DC, USA.
Danielle MosbyNational Center for Human Factors in Healthcare, MedStar Health, Washington, DC, USA.
Muge CapanValue Institute, Christiana Care Health System, Newark, DE, USA.
Rebecca KowalskiNational Center for Human Factors in Healthcare, MedStar Health, Washington, DC, USA.
Raj RatwaniNational Center for Human Factors in Healthcare, MedStar Health, Washington, DC, USA.
Yaman NoaisehCollege of Computing and Informatics, Drexel University, Philadelphia, PA, USA.
Rachel KraftValue Institute, Christiana Care Health System, Newark, DE, USA.
Sanford SchwartzHealth Care Management, University of Pennsylvania, Wharton, Philadelphia, PA, USA.
William S WeintraubMedStar Washington Hospital Center, MedStar Health, Washington, DC, USA.
Ryan ArnoldValue Institute, Christiana Care Health System, Newark, DE, USA.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Claudine T Jurkovitz · 2013 to 2026
$60.5M
Signaling Sepsis: Developing a framework to optimize alert designR01LM012300 · NLM · MEDSTAR HEALTH RESEARCH INSTITUTE · PI MILLER, KRISTEN ELIZABETH · 2016 to 2020
$1.4M
NIGMS NIH HHS U54 GM104941NLM NIH HHS R01 LM012300
6 · The paper itself

Abstract

Objective: Provider acceptance and associated patient outcomes are widely discussed in the evaluation of clinical decision support systems (CDSSs), but critical design criteria for tools have generally been overlooked. The objective of this work is to inform electronic health record alert optimization and clinical practice workflow by identifying, compiling, and reporting design recommendations for CDSS to support the efficient, effective, and timely delivery of high-quality care. Material and Methods: A narrative review was conducted from 2000 to 2016 in PubMed and The Journal of Human Factors and Ergonomics Society to identify papers that discussed/recommended design features of CDSSs that are associated with the success of these systems. Results: Fourteen papers were included as meeting the criteria and were found to have a total of 42 unique recommendations; 11 were classified as interface features, 10 as information features, and 21 as interaction features. Discussion: Features are defined and described, providing actionable guidance that can be applied to CDSS development and policy. To our knowledge, no reviews have been completed that discuss/recommend design features of CDSS at this scale, and thus we found that this was important for the body of literature. The recommendations identified in this narrative review will help to optimize design, organization, management, presentation, and utilization of information through presentation, content, and function. The designation of 3 categories (interface, information, and interaction) should be further evaluated to determine the critical importance of the categories. Future work will determine how to prioritize them with limited resources for designers and developers in order to maximize the clinical utility of CDSS. Conclusion: This review will expand the field of knowledge and provide a novel organization structure to identify key recommendations for CDSS.

Indexed as

Decision Support Systems, ClinicalMedical Records Systems, ComputerizedSoftware

Identifiers

PMID29126196
PMCPMC6018977

What Socratic 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 Socratic graph.