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ehr united states  (IQVIA Inc)
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ehr/emr plugin module 601  (EPIC Systems Corporation)
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ehr/emr  (Allen Press Inc)
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emr/ehr  (EPIC Systems Corporation)
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ehr - emr  (Optum Inc)
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Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="250" height="auto" />
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us ambulatory electronic medical record (emr  (IQVIA Inc)
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Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="250" height="auto" />
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emr nextgen ehr  (NextGen Sciences)
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Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="250" height="auto" />
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Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="250" height="auto" />
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overview of emr/ehr markets  (Accenture Technology Labs)
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Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="250" height="auto" />
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Image Search Results


Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 <xref ref-type= a ." width="100%" height="100%">

Journal: International Journal of Surgery Protocols

Article Title: Research protocol for an observational health data analysis to assess the applicability of randomized controlled trials focusing on newly diagnosed metastatic prostate cancer using real-world data: PIONEER IMI’s “big data for better outcomes” program

doi: 10.1097/SP9.0000000000000024

Figure Lengend Snippet: Data sources formatted to the OMOP CDM with prostate cancer patients to be included in the PIONEER Study-a-thon as of April 2021 a .

Article Snippet: Optum de-identified Electronic Health Record Dataset , USA , EMR , Optum EHR - EMR, US , 96 million , -2006 , EHR/Privately Insured , Optum© de-identified Electronic Health Record Dataset represents Humedica’s Electronic Health Record data a medical records database. The medical record data includes clinical information, inclusive of prescriptions as prescribed and administered, lab results, vital signs, body measurements, diagnoses, procedures, and information derived from clinical Notes using natural language processing (NLP)..

Techniques: Derivative Assay, Biomarker Discovery, Medications, Selection, Software