Evidence map›Paper›PMID 35234650›Full record

ArticleJMIR research protocols2022

Dashboards in Health Care Settings: Protocol for a Scoping Review.

Danielle Helminski, Jacob E Kurlander, Anjana Deep Renji, Jeremy B Sussman, Paul N Pfeiffer, Marisa L Conte, Oliver J Gadabu, Alex N Kokaly, Rebecca Goldberg, Allison Ranusch and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  12. From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.Medical journal of the Islamic Republic of Iran · 2025
    Article
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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

12 authors.

Danielle Helminski *Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-0373-8882
Jacob E Kurlander *Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-1798-060X
Anjana Deep RenjiDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-6837-7638
Jeremy B SussmanDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-2158-3618
Paul N PfeifferInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-1832-069X
Marisa L ConteDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-7377-163X
Oliver J GadabuDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-7960-5376
Alex N KokalyDepartment of Medicine, UCLA Health, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-0529-7371
Rebecca GoldbergUniversity of Michigan Medical School, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-9684-0335
Allison RanuschVeterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-6879-372X
Laura J DamschroderVeterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-3657-8459
Zach Landis-LewisDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-9117-9338

Funding

Using Intervention Mapping and the Multiphase Optimization Strategy to develop multilevel interventions to prevent upper GI bleedingK23DK118179 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KURLANDER, JACOB ELI · 2019 to 2023
$974k
Virtual Quality Improvement Training for VHA Teams: The Learn. Engage. Act. Process. (LEAP) ProgramI50HX003140 · VA · VETERANS HEALTH ADMINISTRATION · PI DAMSCHRODER, LAURA J. · 2020 to 2021
–
MIDAS: Maintaining Implementation through Dynamic AdaptationsI50HX003251 · VA · VETERANS HEALTH ADMINISTRATION · PI KURLANDER, JACOB ELI, PFEIFFER, PAUL NELSON · 2021 to 2021
–
HSRD VA I50 HX003140HSRD VA I50 HX003251NIDDK NIH HHS K23 DK118179
6 · The paper itself

Abstract

backgroundHealth care organizations increasingly depend on business intelligence tools, including "dashboards," to capture, analyze, and present data on performance metrics. Ideally, dashboards allow users to quickly visualize actionable data to inform and optimize clinical and organizational performance. In reality, dashboards are typically embedded in complex health care organizations with massive data streams and end users with distinct needs. Thus, designing effective dashboards is a challenging task and theoretical underpinnings of health care dashboards are poorly characterized; even the concept of the dashboard remains ill-defined. Researchers, informaticists, clinical managers, and health care administrators will benefit from a clearer understanding of how dashboards have been developed, implemented, and evaluated, and how the design, end user, and context influence their uptake and effectiveness.

objectiveThis scoping review first aims to survey the vast published literature of "dashboards" to describe where, why, and for whom they are used in health care settings, as well as how they are developed, implemented, and evaluated. Further, we will examine how dashboard design and content is informed by intended purpose and end users.

methodsIn July 2020, we searched MEDLINE, Embase, Web of Science, and the Cochrane Library for peer-reviewed literature using a targeted strategy developed with a research librarian and retrieved 5188 results. Following deduplication, 3306 studies were screened in duplicate for title and abstract. Any abstracts mentioning a health care dashboard were retrieved in full text and are undergoing duplicate review for eligibility. Articles will be included for data extraction and analysis if they describe the development, implementation, or evaluation of a dashboard that was successfully used in routine workflow. Articles will be excluded if they were published before 2015, the full text is unavailable, they are in a non-English language, or they describe dashboards used for public health tracking, in settings where direct patient care is not provided, or in undergraduate medical education. Any discrepancies in eligibility determination will be adjudicated by a third reviewer. We chose to focus on articles published after 2015 and those that describe dashboards that were successfully used in routine practice to identify the most recent and relevant literature to support future dashboard development in the rapidly evolving field of health care informatics.

resultsAll articles have undergone dual review for title and abstract, with a total of 2019 articles mentioning use of a health care dashboard retrieved in full text for further review. We are currently reviewing all full-text articles in duplicate. We aim to publish findings by mid-2022. Findings will be reported following guidance from the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist.

conclusionsThis scoping review will provide stakeholders with an overview of existing dashboard tools, highlighting the ways in which dashboards have been developed, implemented, and evaluated in different settings and for different end user groups, and identify potential research gaps. Findings will guide efforts to design and use dashboards in the health care sector more effectively. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34894.

Indexed as

CochraneCochrane librarydashboarddesigndevelopmentdigital healthend userevaluationhealth carehealth care sectorimplementationmedical informaticsmHealthquality improvementscoping reviewstakeholderuser need

Identifiers

PMID35234650
PMCPMC8928055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.