Evidence map›Paper›PMID 38558013›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2024

Genetically guided precision medicine clinical decision support tools: a systematic review.

Darren Johnson, Guilherme Del Fiol, Kensaku Kawamoto, Katrina M Romagnoli, Nathan Sanders, Grace Isaacson, Elden Jenkins, Marc S Williams

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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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

8 authors.

Darren JohnsonDepartment of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States.ORCID 0000-0001-9954-6799
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States.ORCID 0000-0003-4282-9338
Katrina M RomagnoliDepartment of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States.
Nathan SandersSchool of Medicine, Geisinger Health Systems, Danville, PA 17822, United States.
Grace IsaacsonFamily Medicine, Penn Highlands Healthcare, DuBois, PA 16830, United States.
Elden JenkinsSchool of Medicine, Noorda College of Osteopathic Medicine, Provo, UT 84606, United States.
Marc S WilliamsDepartment of Genomic Health, Geisinger Health Systems, Danville, PA 17822, United States.

Funding

Real-time genetic diagnosis at the point of careR01HG011799 · NHGRI · GEISINGER CLINIC · PI WILLIAMS, MARC S. · 2021 to 2025
$4.6M
NHGRI NIH HHS R01 HG011799NHGRI NIH HHS R01HG011799
6 · The paper itself

Abstract

objectivesPatient care using genetics presents complex challenges. Clinical decision support (CDS) tools are a potential solution because they provide patient-specific risk assessments and/or recommendations at the point of care. This systematic review evaluated the literature on CDS systems which have been implemented to support genetically guided precision medicine (GPM). MATERIALS AND

methodsA comprehensive search was conducted in MEDLINE and Embase, encompassing January 1, 2011-March 14, 2023. The review included primary English peer-reviewed research articles studying humans, focused on the use of computers to guide clinical decision-making and delivering genetically guided, patient-specific assessments, and/or recommendations to healthcare providers and/or patients.

resultsThe search yielded 3832 unique articles. After screening, 41 articles were identified that met the inclusion criteria. Alerts and reminders were the most common form of CDS used. About 27 systems were integrated with the electronic health record; 2 of those used standards-based approaches for genomic data transfer. Three studies used a framework to analyze the implementation strategy. DISCUSSION: Findings include limited use of standards-based approaches for genomic data transfer, system evaluations that do not employ formal frameworks, and inconsistencies in the methodologies used to assess genetic CDS systems and their impact on patient outcomes.

conclusionWe recommend that future research on CDS system implementation for genetically GPM should focus on implementing more CDS systems, utilization of standards-based approaches, user-centered design, exploration of alternative forms of CDS interventions, and use of formal frameworks to systematically evaluate genetic CDS systems and their effects on patient care.

Indexed as

Decision Support Systems, ClinicalPrecision MedicineElectronic Health RecordsGenomicsHumansclinical decision support systemselectronic health recordgeneticsgenomicspersonalized medicine

Identifiers

PMID38558013
PMCPMC11031215

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.