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EPIC Systems Corporation electronic medical record epic platform
Electronic Medical Record Epic Platform, supplied by EPIC Systems Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/electronic medical record epic platform/product/EPIC Systems Corporation
Average 90 stars, based on 1 article reviews
electronic medical record epic platform - by Bioz Stars, 2026-05
90/100 stars

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EPIC Systems Corporation electronic medical record epic platform
Electronic Medical Record Epic Platform, supplied by EPIC Systems Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/electronic medical record epic platform/product/EPIC Systems Corporation
Average 90 stars, based on 1 article reviews
electronic medical record epic platform - by Bioz Stars, 2026-05
90/100 stars
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Cerner Corporation electronic medical record platform epic
Article selection process. The diagram shows the number of articles at each stage of selection for each of the 3 databases: MEDLINE (Medical Literature Analysis and Retrieval System Online), IEEE Xplore (Institute of Electrical and <t>Electronics</t> Engineers Xplore), and Google Scholar.
Electronic Medical Record Platform Epic, supplied by Cerner Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/electronic medical record platform epic/product/Cerner Corporation
Average 90 stars, based on 1 article reviews
electronic medical record platform epic - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

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Article selection process. The diagram shows the number of articles at each stage of selection for each of the 3 databases: MEDLINE (Medical Literature Analysis and Retrieval System Online), IEEE Xplore (Institute of Electrical and Electronics Engineers Xplore), and Google Scholar.

Journal: JMIR Formative Research

Article Title: What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions

doi: 10.2196/17687

Figure Lengend Snippet: Article selection process. The diagram shows the number of articles at each stage of selection for each of the 3 databases: MEDLINE (Medical Literature Analysis and Retrieval System Online), IEEE Xplore (Institute of Electrical and Electronics Engineers Xplore), and Google Scholar.

Article Snippet: On the basis of our analysis, we highlight the following guiding principles for small- to medium-sized institutions planning to implement an IDR: Commercial electronic medical record platforms such as Epic, Cerner, Meditech, and Allscripts are dominant in large institutions.

Techniques: Selection

Common data types across IDRs. Columns show the main types of data collected in the selected IDRs. Gray-filled cells denote feature presence, with colors classifying the IDRs based on the examined architectures. Only 19 IDR articles contained enough information in their articles to be included in this figure. BRP: biorepository portal; BTRIS: biomedical translational research information system; CARPEM: cancer research for personalized medicine; CLB-IT: Léon Bérard Cancer Center Information Technology; DW4TR: Data Warehouse for Translational Research; EHR: electronic health record; HEGP: Hôpital Européen Georges Pompidou; HERON: health care enterprise repository for ontological narration; HSSC: Health Science, South Carolina; IDRs: integrated data repositories; Mayo Clinic-TRC: Mayo Clinic – Translational Research Center; METEOR: Methodist Environment for Translational Enhancement and Outcome Research; MIDH: Maternal and Infant Data Hub; MOSAIC: models and simulation techniques for discovering diabetes-related factors; Onco-i2b2; PHIS+: Pediatric Health Information System+; STARR: STAnford Research Repository; VUMC-BioVU: Vanderbilt University Medical Center–BioVU; VUMC-SD: Vanderbilt University Medical Center–Synthetic Derivative.

Journal: JMIR Formative Research

Article Title: What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions

doi: 10.2196/17687

Figure Lengend Snippet: Common data types across IDRs. Columns show the main types of data collected in the selected IDRs. Gray-filled cells denote feature presence, with colors classifying the IDRs based on the examined architectures. Only 19 IDR articles contained enough information in their articles to be included in this figure. BRP: biorepository portal; BTRIS: biomedical translational research information system; CARPEM: cancer research for personalized medicine; CLB-IT: Léon Bérard Cancer Center Information Technology; DW4TR: Data Warehouse for Translational Research; EHR: electronic health record; HEGP: Hôpital Européen Georges Pompidou; HERON: health care enterprise repository for ontological narration; HSSC: Health Science, South Carolina; IDRs: integrated data repositories; Mayo Clinic-TRC: Mayo Clinic – Translational Research Center; METEOR: Methodist Environment for Translational Enhancement and Outcome Research; MIDH: Maternal and Infant Data Hub; MOSAIC: models and simulation techniques for discovering diabetes-related factors; Onco-i2b2; PHIS+: Pediatric Health Information System+; STARR: STAnford Research Repository; VUMC-BioVU: Vanderbilt University Medical Center–BioVU; VUMC-SD: Vanderbilt University Medical Center–Synthetic Derivative.

Article Snippet: On the basis of our analysis, we highlight the following guiding principles for small- to medium-sized institutions planning to implement an IDR: Commercial electronic medical record platforms such as Epic, Cerner, Meditech, and Allscripts are dominant in large institutions.

Techniques: Clinical Proteomics