DataTerminology.comNEW
Health-related data from patient care, clinical trials, or health systems used for analysis, decisions, and evidence generation.
DESCRIPTION
Clinical data encompasses EHRs, lab results, imaging, trial datasets, and patient-reported outcomes. It supports research, quality improvement, and regulatory submissions. Standards like HL7 FHIR enable interoperable exchange, while privacy laws (e.g., HIPAA, GDPR) constrain use. Data quality, provenance, and consent are critical to trustworthy insights. De-identification and governance frameworks protect individuals and enable responsible reuse.
ALTERNATIVE DEFINITIONS
Wikipedia
Clinical data are a type of medical data that are obtained from patient care and clinical trials.
Positions clinical data as medical data originating in care and trials.
European Union (MDR 2017/745)
‘clinical data’ means information concerning safety or performance that is generated from the use of a device and is sourced from clinical investigation(s), clinical experience, or other sources.
Regulatory definition tailored to medical devices’ safety and performance.
RELATED TERMS
Electronic Health Record Clinical Trials HL7 FHIR Real-World Evidence Patient-Reported Outcomes Claims Data HIPAA Data Quality Medical Coding Data Privacy
COMPETING TERMS
Synthetic Health Data Administrative Claims Data
RELATIONS
- Broader: Data
KNOWLEDGE AREAS
Domain & Business Context Data Privacy & Compliance Data Management Data Governance Data Quality Data Modeling
TARGET AUDIENCE
Data Privacy Officer Data Governance Manager Information Analyst Data Steward Data Scientist Chief Information Security Officer
EXTERNAL SOURCES
- Wikipedia - Clinical data
- HL7 - FHIR overview for clinical data exchange
- U.S. FDA - RWE with clinical data sources
TOP QUESTIONS
What types of Clinical Data are most common?
Electronic health records, lab and imaging results, clinical trial data, claims, and patient-reported outcomes are prevalent sources.
Category: Overview
How is Clinical Data governed?
Governance includes consent management, data-use agreements, de-identification, lineage, and quality oversight under HIPAA/GDPR.
Category: Governance
What standards enable Clinical Data interoperability?
HL7 FHIR, DICOM, LOINC, and SNOMED CT facilitate consistent exchange and interpretation.
Category: Requirements
What are common mistakes with Clinical Data?
Ignoring context, mixing care and trial data without metadata, and insufficient de-identification lead to misuse and privacy risks.
Category: Mistakes
What are risks when using Clinical Data for AI?
Bias, leakage, and re-identification risks require careful design, auditing, and privacy-preserving techniques.
Category: Risks
How do you improve Clinical Data quality?
Apply validation rules, standardized coding, deduplication, and provenance tracking; engage data stewards.
Category: BestPractices
Why is Clinical Data critical for Real-World Evidence?
It provides observational insights into treatment effectiveness and safety beyond controlled trials.
Category: Relevancy
How should organizations start with Clinical Data analytics?
Establish governance, choose standards (FHIR), build a data catalog, and pilot with clear outcomes.
Category: HowTo
What is a common misunderstanding about Clinical Data?
Assuming EHR data are clean and complete; in reality, they are noisy and require rigorous curation.
Category: Misunderstanding