Real-World Data: Sources and Solutions

About this Book

The Encyclopaedia of Real-World Data

Real-World Data: Sources and Solutions is the most comprehensive professional reference ever assembled on RWD — covering every major data type, every significant global data ecosystem, and a complete set of practical appraisal frameworks, all in a single, authoritative volume.

Part I lays the conceptual groundwork: what makes data "real-world," the dimensions of data quality, the role of metadata and ontologies, and the principles of data linkage and integration. Part II provides an encyclopaedic review of every major RWD type — electronic health records, claims and billing data, disease registries, biobanks and genomic data, wearables and sensor data, patient-reported outcomes, social determinants of health, and environmental and geospatial data.

Part III is unique in the RWE literature: a systematic tour of global RWD ecosystems across North America, Europe, Asia-Pacific, the Middle East and Africa, and Latin America — covering the major networks, databases, regulatory frameworks, and data governance challenges in each region.

Part IV delivers the practical toolkit: a structured RWD source selection framework, data quality assessment templates, a vendor evaluation checklist, governance and contracting guidance, and a comprehensive global RWD directory.

Who This Book Is For

RWE practitioners

Data scientists

RWD consultants

Pharma teams

Regulatory scientists

HTA specialists

Data custodians

Health informaticists

USD 69.90

Price in other countries may vary · Hardcover

🕐 Publication: December 2026

Format9×11 Hardcover

Pages380–500

PublisherTBC

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Contents

What You Will Learn

Part I · 60–80 pages

Principles of Real-World Data

What Makes Data "Real-World"? — definitions, strengths, limitations, lifecycle
Data Quality and Fitness for Purpose — dimensions, missing data, quality frameworks
Metadata, Ontologies, and Standards — SNOMED, ICD, LOINC, FHIR, OMOP
Data Linkage and Integration — deterministic, probabilistic, privacy-preserving

Part II · 120–150 pages

Types of Real-World Data

Electronic Health Records — EHR networks, ETL, study designs
Claims and Billing Data — coding systems, strengths, use cases
Disease Registries — governance, quality, regulatory use
Biobanks and Genomic Data — pharmacogenomics, precision medicine
Wearables and Sensor Data — digital biomarkers, validation
Patient-Reported Outcomes — PROMs, PREMs, collection methods
Social Determinants of Health — neighbourhood indices, equity studies
Environmental and Geospatial Data — GIS, exposure modelling

Part III · 120–150 pages

Global RWD Ecosystems

North America — PCORnet, TriNetX, Medicare/Medicaid, IQVIA, Optum, Canada
Europe — UK, France, Nordics, DARWIN EU, GDPR, cross-border initiatives
Asia-Pacific — Japan NDB, Korea HIRA, China, Australia MBS/PBS
Middle East & Africa — Gulf EHR initiatives, Israel, Africa digital health
Latin America — Brazil, Mexico, Argentina, regional interoperability

Part IV · 80–100 pages

Appraisal Tools and Practical Frameworks

RWD Source Selection Framework — research question mapping, feasibility, decision matrix
Data Quality Assessment Templates — domain checks, scoring systems, worked examples
RWD Vendor Evaluation Checklist — credentials, provenance, governance, pricing
RWD Contracting and Governance — DUAs, privacy, cross-border transfer
Global RWD Directory — EHR networks, claims, registries, biobanks, digital sources

Real-World Data:Sources and Solutions

The Encyclopaedia of Real-World Data

What You Will Learn

Other Books in the Series

Real-World Data:
Sources and Solutions