ReviewGenome medicine2016
Integrating cancer genomic data into electronic health records.
Review in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Model Context Protocol: The unexpected catalyst of a bioinformatics interoperability revolution.PLoS computational biology · 2026Article
- Body Biofluids for Minimally-Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential.Advanced healthcare materials · 2026Review
- Genomics and multiomics in the age of precision medicine.Pediatric research · 2025Review
- Incorporating Structured and Unstructured Data Sources to Identify and Characterize Hereditary Cancer Testing Among Veterans With Metastatic Castration-Resistant Prostate Cancer.JCO clinical cancer informatics · 2025Article
- Natural Language Processing for Radiation Oncology: Personalizing Treatment Pathways.Pharmacogenomics and personalized medicine · 2024Review
- Chemo Markers as Biomarkers in Septic Shock: A Comprehensive Review of Their Utility and Clinical Applications.Cureus · 2023Review
- Creation of a structured molecular genomics report for Germany as a local adaption of HL7's Genomic Reporting Implementation Guide.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Challenges of Integrating APOL1 Genetic Test Results into the Electronic Health Record.Applied clinical informatics · 2023Article
- Liquid biopsy approaches to capture tumor evolution and clinical outcomes during cancer immunotherapy.Journal for immunotherapy of cancer · 2023Review
- Impact of integrating genomic data into the electronic health record on genetics care delivery.Genetics in medicine : official journal of the American College of Medical Genetics · 2022Article
- Effective and Efficient Delivery of Genome-Based Testing-What Conditions Are Necessary for Health System Readiness?Healthcare (Basel, Switzerland) · 2022Article
- The emerging role of real-world data in advanced breast cancer therapy: Recommendations for collaborative decision-making.Breast (Edinburgh, Scotland) · 2022Article
- The practice of genomic medicine: A delineation of the process and its governing principles.Frontiers in medicine · 2022Article
- A qualitative study of prevalent laboratory information systems and data communication patterns for genetic test reporting.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study.Journal of medical Internet research · 2021Review
- Patients dispensed medications with actionable pharmacogenomic biomarkers: rates and characteristics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Distribution of Genomic Testing Resources by Oncology Practice and Rurality: A Nationally Representative Study.JCO precision oncology · 2021Article
- Integrating Somatic and Germline Next-Generation Sequencing Into Routine Clinical Oncology Practice.JCO precision oncology · 2021Review
- Clinical Genomic Sequencing Reports in Electronic Health Record Systems Based on International Standards: Implementation Study.Journal of medical Internet research · 2020Article
- Clinical Genome Data Model (cGDM) provides Interactive Clinical Decision Support for Precision Medicine.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The rise of genomically targeted therapies and immunotherapy has revolutionized the practice of oncology in the last 10-15 years. At the same time, new technologies and the electronic health record (EHR) in particular have permeated the oncology clinic. Initially designed as billing and clinical documentation systems, EHR systems have not anticipated the complexity and variety of genomic information that needs to be reviewed, interpreted, and acted upon on a daily basis. Improved integration of cancer genomic data with EHR systems will help guide clinician decision making, support secondary uses, and ultimately improve patient care within oncology clinics. Some of the key factors relating to the challenge of integrating cancer genomic data into EHRs include: the bioinformatics pipelines that translate raw genomic data into meaningful, actionable results; the role of human curation in the interpretation of variant calls; and the need for consistent standards with regard to genomic and clinical data. Several emerging paradigms for integration are discussed in this review, including: non-standardized efforts between individual institutions and genomic testing laboratories; "middleware" products that portray genomic information, albeit outside of the clinical workflow; and application programming interfaces that have the potential to work within clinical workflow. The critical need for clinical-genomic knowledge bases, which can be independent or integrated into the aforementioned solutions, is also discussed.
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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.