Journal: American journal of hypertension

Article Title: Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States

doi: 10.1093/ajh/hpad081

Figure Lengend Snippet: Constructing hypertension e-phenotypes in AEMR-US. *The denominator for pregnancy: females aged 18–44 years (N = 2,876,436); All other items used the denominator noted as “100%”. Abbreviation: IQVIA AEMR OMOP, IQVIA Ambulatory Electronic Medical Record-US dataset, in Observational Medical Outcomes Partnership format.

Article Snippet: Abbreviation: IQVIA AEMR OMOP, IQVIA Ambulatory Electronic Medical Record-US dataset, in Observational Medical Outcomes Partnership format.

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Journal: AMIA Annual Symposium Proceedings

Article Title: Comparative Merits of Available Mortality Data Sources for Clinical Research

doi:

Figure Lengend Snippet: Commonly used commercially available real-world data sources

Article Snippet: Data source Type of data Optum© de-identified EHR Dataset (PANTHER) Integrated claims, EHR data Optum© de-Identified Clinformatics® Data Mart Claims, lab results, confinement data, provider data IBM® MarketScan® Commercial Claims and Encounters (CCAE) Commercial insurance claims IBM® MarketScan® Multi-State Medicaid Database (MDCD) Medicaid claims IBM® MarketScan® Medicare Supplemental Database (MDCR) Medicare claims IQVIA® Longitudinal Patient-Level Prescriptions (LRx) and Medical Claims (Dx) Pre-adjudicated claims IQVIA® Hospital Charge Data Master (CDM) Hospital charge data from short-term, acute care, and non-federal hospitals IQVIA® Real World Data Adjudicated Claims US (formerly known as PharMetrics Plus) Adjudicated claims IQVIA® Oncology EMR EMRs data from community-based, oncology practices IQVIA® Ambulatory Electronical Medical Records (AEMR) EMR data from over 70,000 physicians (50% primary care) Quest Diagnostics Lab data from over 2,200+ centers that perform 3,500 tests Cerner® HealthFacts Data Warehouse De-identified EHR data Open in a separate window Commonly used commercially available real-world data sources.

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Journal: The BMJ

Article Title: Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

doi: 10.1136/bmj.n1435

Figure Lengend Snippet: Characteristics of included populations, stratified by database. Values are numbers (percentages) unless stated otherwise

Article Snippet: The electronic health record databases were: IQVIA Australia Electronic Medical Records (IQVIA_AUSTRALIA); Integrated Primary Care Information (IPCI_NETHERLANDS), a primary care records database from the Netherlands ; IQVIA Longitudinal Patient Data France (IQVIA_FRANCE) ; IQVIA Disease Analyser Germany (IQVIA_GERMANY); Information System for Research in Primary Care (SIDIAP_H_SPAIN), a primary care records database that covers more than 80% of the population of Catalonia, Spain; Clinical Practice Research Datalink (CPRD_GOLD_UK), which consists of data collected from UK primary care for all ages ; Columbia University Irving Medical Center (CUMC_US), which covers more than 4.5 million people treated at the New York-Presbyterian Hospital/Columbia University Irving Medical Center in the US; and Optum De-Identified Electronic Health Record Dataset (OPTUM_EHR_US), which covers more than 103 million patients and more than 7000 hospitals and clinics across the US.

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Journal: The BMJ

Article Title: Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

doi: 10.1136/bmj.n1435

Figure Lengend Snippet: Age and sex stratified incidence rates for 15 adverse events of special interest by database. CCAE_US=IBM MarketScan Commercial Claims and Encounters Database, CPRD_GOLD_UK=Clinical Practice Research Datalink; CUMC_US=Columbia University Irving Medical Center; IPCI_NETHERLANDS=Integrated Primary Care Information; IQVIA_AUSTRALIA=IQVIA Australia Electronic Medical Records; IQVIA_FRANCE=IQVIA Longitudinal Patient Data France; IQVIA_GERMANY=IQVIA Disease Analyser Germany; JMDC_JAPAN=Japan Medical Data Center, MDCD_US=IBM MarketScan Multi-State Medicaid Database, MDCR_US=IBM MarketScan Medicare Supplemental and Coordination of Benefits Database; OPTUM_EHR_US=Optum De-Identified Electronic Health Record Dataset; OPTUM_SES_US=Optum De-Identified Clinformatics Data Mart Database-Socio-Economic Status; SIDIAP_H_SPAIN=Information System for Research in Primary Care-Hospitalization Linked Data

Article Snippet: The electronic health record databases were: IQVIA Australia Electronic Medical Records (IQVIA_AUSTRALIA); Integrated Primary Care Information (IPCI_NETHERLANDS), a primary care records database from the Netherlands ; IQVIA Longitudinal Patient Data France (IQVIA_FRANCE) ; IQVIA Disease Analyser Germany (IQVIA_GERMANY); Information System for Research in Primary Care (SIDIAP_H_SPAIN), a primary care records database that covers more than 80% of the population of Catalonia, Spain; Clinical Practice Research Datalink (CPRD_GOLD_UK), which consists of data collected from UK primary care for all ages ; Columbia University Irving Medical Center (CUMC_US), which covers more than 4.5 million people treated at the New York-Presbyterian Hospital/Columbia University Irving Medical Center in the US; and Optum De-Identified Electronic Health Record Dataset (OPTUM_EHR_US), which covers more than 103 million patients and more than 7000 hospitals and clinics across the US.

Techniques: