ArticleJournal of genetic counseling2025
The future of electronic health record-based research: Leveraging informatics in genetic counseling research.
Article in Journal of genetic counseling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Introduction to the Special Issue on Research Methods in Genetic Counseling: Diverse Methods, Shared Purpose.Journal of genetic counseling · 2026Article
- The future of electronic health record-based research: Leveraging informatics in genetic counseling research.Journal of genetic counseling · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As health care embraces learning health systems, data-oriented approaches provide a path for genetic counselors to actively contribute to improving clinical care through evidence-driven insights. The informatics-driven querying of electronic health record (EHR) data in genetic counseling has the potential to advance clinical practice, quality improvement, and research. This paper examines the opportunities and challenges associated with leveraging EHR data in genetic counseling, with a focus on practical, collaborative, and future-oriented applications. Quality improvement initiatives focused on identifying eligible patients for genetic services, assessing access and uptake patterns, and evaluating genetic testing outcomes serve as a natural gateway to research. Here, we demonstrate how genetic counseling professionals can use EHR data to conduct research that drives impactful changes in patient care and service delivery. By highlighting key applications and identifying areas for future exploration, this paper argues that EHR-based research represents not only a practical solution to current challenges but also the future of genetic counseling inquiry. This approach promises to unlock new opportunities to measure and enhance the effectiveness, equity, and accessibility of genetic counseling services.
Indexed as
Identifiers
What OpenQuestion holds
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.