ArticleJournal of biomedical informatics2012
Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project.
Article in Journal of biomedical informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.
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Who cites it
89 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Repurposing Clinical Decision Support System Data to Measure Dosing Errors and Clinician-Level Quality of Care.Journal of medical systems · 2020Article
- Knowledge Graph-Enabled Cancer Data Analytics.IEEE journal of biomedical and health informatics · 2020Article
- Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.JCO clinical cancer informatics · 2020Article
- Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology.Sensors (Basel, Switzerland) · 2019Article
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- Merging heterogeneous clinical data to enable knowledge discovery.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2019Article
- Classification, Ontology, and Precision Medicine.The New England journal of medicine · 2018Review
- An Informatics Approach to Facilitate Clinical Management of Patients With Retrievable Inferior Vena Cava Filters.AJR. American journal of roentgenology · 2018Observational
- Modeling asynchronous event sequences with RNNs.Journal of biomedical informatics · 2018Article
- High-fidelity phenotyping: richness and freedom from bias.Journal of the American Medical Informatics Association : JAMIA · 2018Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic health record (EHR) for secondary purposes, such as care process and outcomes improvement, biomedical research and epidemiologic monitoring of the nation's health. One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation's many health care organizations and providers. The SHARPn team is developing open source services and components to support the ubiquitous exchange, sharing and reuse or 'liquidity' of operational clinical data stored in electronic health records. One year into the design and development of the SHARPn framework, we demonstrated end to end data flow and a prototype SHARPn platform, using thousands of patient electronic records sourced from two large healthcare organizations: Mayo Clinic and Intermountain Healthcare. The platform was deployed to (1) receive source EHR data in several formats, (2) generate structured data from EHR narrative text, and (3) normalize the EHR data using common detailed clinical models and Consolidated Health Informatics standard terminologies, which were (4) accessed by a phenotyping service using normalized data specifications. The architecture of this prototype SHARPn platform is presented. The EHR data throughput demonstration showed success in normalizing native EHR data, both structured and narrative, from two independent organizations and EHR systems. Based on the demonstration, observed challenges for standardization of EHR data for interoperable secondary use are discussed.
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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.