ArticleJournal of the American Medical Informatics Association : JAMIA2013
An adaptable architecture for patient cohort identification from diverse data sources.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Employing computers for the recruitment into clinical trials: a comprehensive systematic review.Journal of medical Internet research · 2014Pooled it
- An ontology-based approach for harmonization and cross-cohort query of Alzheimer's disease data resources.BMC medical informatics and decision making · 2023Article
- Evaluation of Three Feasibility Tools for Identifying Patient Data and Biospecimen Availability: Comparative Usability Study.JMIR medical informatics · 2021Article
- Integrating terminologies into standard SQL: a new approach for research on routine data.Journal of biomedical semantics · 2019Article
- Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
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- X-search: an open access interface for cross-cohort exploration of the National Sleep Research Resource.BMC medical informatics and decision making · 2018Article
- Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches.JMIR medical informatics · 2018Article
- Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned.BMC medical research methodology · 2017Article
- Real-Time Enrollment Dashboard For Multisite Clinical Trials.Contemporary clinical trials communications · 2015Article
- Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system.BMC medical research methodology · 2015Article
- User Satisfaction Evaluation of the EHR4CR Query Builder: A Multisite Patient Count Cohort System.BioMed research international · 2015Article
- Article
- Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.Journal of the American Medical Informatics Association : JAMIA · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe define and validate an architecture for systems that identify patient cohorts for clinical trials from multiple heterogeneous data sources. This architecture has an explicit query model capable of supporting temporal reasoning and expressing eligibility criteria independently of the representation of the data used to evaluate them.
methodThe architecture has the key feature that queries defined according to the query model are both pre and post-processed and this is used to address both structural and semantic heterogeneity. The process of extracting the relevant clinical facts is separated from the process of reasoning about them. A specific instance of the query model is then defined and implemented.
resultsWe show that the specific instance of the query model has wide applicability. We then describe how it is used to access three diverse data warehouses to determine patient counts. DISCUSSION: Although the proposed architecture requires greater effort to implement the query model than would be the case for using just SQL and accessing a data-based management system directly, this effort is justified because it supports both temporal reasoning and heterogeneous data sources. The query model only needs to be implemented once no matter how many data sources are accessed. Each additional source requires only the implementation of a lightweight adaptor.
conclusionsThe architecture has been used to implement a specific query model that can express complex eligibility criteria and access three diverse data warehouses thus demonstrating the feasibility of this approach in dealing with temporal reasoning and data heterogeneity.
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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.