ArticleJournal of the American Medical Informatics Association : JAMIA2023
Framework of the Centralized Interactive Phenomics Resource (CIPHER) standard for electronic health data-based phenomics knowledgebase.
Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review to Summarize and Critically Appraise Existing Phenotype Libraries Using Electronic Health Records.Pharmacoepidemiology and drug safety · 2026Pooled it
- Increasing value in the Veterans Affairs Healthcare System (VA) with precision health: a continuing landmark collaboration with the Department of Energy.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Osteoarthritis case identification in the million veteran program cohort: Comparison of diagnostic codes versus clinical notes.Osteoarthritis and cartilage open · 2026Article
- Evaluating the feasibility of the CIPHER metadata framework towards building a conceptual phenotype standard.JAMIA open · 2026Article
- AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.Journal of medical Internet research · 2026Article
- Dynamically predicting renal failure after development of diabetes across biobanks.PLOS digital health · 2026Article
- PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Article
- Regional Differences in Dementia Incidence Among US Veterans.JAMA neurology · 2025Article
- Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review.Journal of medical Internet research · 2025Review
- Review
- Artificial intelligence approaches for phenotyping heart failure in U.S. Veterans Health Administration electronic health record.ESC heart failure · 2024Article
- Creating a next-generation phenotype library: the health data research UK Phenotype Library.JAMIA open · 2024Article
- A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness.Journal of biomedical informatics · 2024Article
- Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran Program.bioRxiv : the preprint server for biology · 2024Article
- Centralized Interactive Phenomics Resource: an integrated online phenomics knowledgebase for health data users.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning.Scientific reports · 2024Article
- Rates of ICD-10 Code U09.9 Documentation and Clinical Characteristics of VA Patients With Post-COVID-19 Condition.JAMA network open · 2023Article
- Estimated Effects of Comorbidities on Risk of All-cause Dementia in Patients with Mild Cognitive Impairment.Sage open agingArticle
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs (VA) has developed a standard for phenotype metadata collection which is currently used in the VA phenomics knowledgebase library, CIPHER (Centralized Interactive Phenomics Resource), to capture over 5000 phenotypes. The CIPHER standard improves upon existing phenotype library metadata collection by capturing the context of algorithm development, phenotyping method used, and approach to validation. While the standard was iteratively developed with VA phenomics experts, it is applicable to the capture of phenotypes across healthcare systems. We describe the framework of the CIPHER standard for phenotype metadata collection, the rationale for its development, and its current application to the largest healthcare system in the United States.
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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.