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. 2022 Jun 16;22(2):23. doi: 10.5334/ijic.5543

Table 1.

Data types for big data analytics in healthcare by data generation point.


DATA GENERATION POINTS DATA TYPES EXAMPLES ON TYPICAL DATA CONTENT

Transactions/billing with different payer organizations Administrative data Patient demographics, plan types, type of provider, location, …

Medical claims In-/outpatient visits, diagnosis/procedure coding, referrals, …

Pharmaceutical claims Drug codes, dosages, prescription dates, manufacturer, …

Ancillary claims Medical equipment, physiotherapy, home health assistance, …

Clinical/diagnostic processes of different provider organizations (e.g., health, social, aged or disability care) Institutional data Educational background, work experience, working times, …

EMR/EHR data Vital signs, medical history, disease conditions, lab results, …

Medical imaging X-ray, magnetic resonance, computed tomography, ultrasonography, …

Biomarker “-omics”: genomics, proteomics, metabolomics, lipidomics, …

Registries Structured collection of disease/population specific measures

Patient- or people-generated Smart sensor/device data Biometric data, physical activity, gait/sleep patterns, location, …

Web usage data Social media posts, internet search logs, health forum activity, …

Health-related research Clinical trial data Study size, clinically defined parameters and outcomes, …

Drug surveillance data Adverse drug effects, population size, regional uptake/variation, …

(Health) Survey data Patient-reported outcome measures (PROMs), health literacy, …

Health-related systems Socio-economic/community-based data Income, deprivation, education, living situation, marital status, …

Environmental/spatial data Air/noise pollution, temperature, neighbourhood characteristics, …