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. 2021 Nov 28;111(1):77–89. doi: 10.1002/cpt.2480

Table 1.

Common sources, types, and examples of real‐world data

Source Type Subtype Examples
Administrative Third‐party payer claims Closed networks IBM MarketScan, IQVIA PharMetrics, Optum Clinformatics
Open networks IQVIA LAAD, DRG RWD, Symphony IDV
Government CMS FFS Medicare, Medicaid, VA/DOD
Hospital chargemaster Premier, Vizient, IQVIA CDM
Pharmacy Surescripts, IQVIA NDTI
Electronic health records Care setting Hospitals Cerner, Epic, Athena
Clinics IQVIA AEMR, Optum Panther, IBM Explorys
Long‐term care/Home health PointClickCare Lighthouse, Optima/Net Health
Disease Oncology Flatiron, Ontada, ConcertAI
Behavioral health Kareo, SimplePractice, Valant
Other Praxis, TSI Healthcare, Phillips
Patients Health surveys Private Kantar Health NHWS, Gallup National Health
Public NHANES, MEPS
Outcome measures Kantar Health, Evidation Health
Multidimensional PatientsLikeMe, Ciitizen
Consumer genetic testing 23andMe, Ancestry.com
Social determinants of health IQVIA/Experian, MarketScan HPM, Optum SES
Medical devices Glooko, Livongo
Mobile device biometrics Smartphones iPhone (HealthKit), Android (Google Fit)
Smart watches Apple Watch (HealthKit), Fitbit (Google Fit)
Diagnostics Laboratory testing Genetic testing Invitae, Neogenomics, Ambry Genetics
Other Quest, LabCorp
Clinicogenomics Oncology AACR GENIE, Optum Clinicogenomics
Population genomics NHGRI 1000 Genomes Project, NIH All of Us
Diagnostic imaging Life Image, Ambra Health
Other Disease registries Traditional CorEvitas, Target RWE
Other OM1, COTA Healthcare
Adverse event reports Regulatory FDA FAERS, FDA VAERS
Social media Twitter, Facebook
Mortality Public/Private CDC WONDER, ObituaryData.com
Tokenization HealthVerity, Datavant, Komodo

CDC, Centers for Disease Control and Prevention; FAERS, US Food and Drug Administration Adverse Event Reporting System, FDA, US Food and Drug Administration; NIH, National Institutes of Health; RWE, real‐world evidence.