Explainer library
Health AI Definitions
Foundations and Scope • Clinical Systems • Governance, Evidence, and Infrastructure • Care Delivery and Operations
Plain-language explanations of the systems, terms, and categories shaping Health AI.
Definition groups
The library uses four practical groups to help readers understand scope, system roles, governance, evidence, and care delivery.
Foundations and Scope
Core concepts that define artificial intelligence, Health AI, Medical AI, Wellness AI, and the boundaries between related fields.
Clinical Systems
AI and machine learning used in or near clinical workflows, documentation, evidence review, monitoring, and care-facing systems.
Governance, Evidence, and Infrastructure
Evaluation, safety, governance, evidence, federated data, deployment, monitoring, accountability, and responsible system foundations.
Care Delivery and Operations
Systems supporting documentation, coordination, access, navigation, administration, workflow execution, and healthcare capacity.
Browse definitions
Select an explainer to review its definition, practical context, boundaries, related terms, and governance considerations.
What is Artificial Intelligence?
A practical explanation of AI systems, including models, data, pattern recognition, automation, and human oversight.
Read definition Foundations and ScopeWhat is Health AI?
The broad category of AI used across health, wellness, clinical care, operations, research, infrastructure, and patient support.
Read definition Foundations and ScopeWhat is Medical AI?
A practical explanation of AI used in medical contexts, including how it differs from broader Health AI.
Read definition Foundations and ScopeWhat is Wellness AI?
AI used in wellness, prevention, lifestyle support, habit formation, fitness, sleep, nutrition, and non-clinical health contexts.
Read definition Clinical SystemsWhat is Clinical AI?
AI used in or near clinical care settings, where outputs may support documentation, triage, monitoring, evidence review, or care workflows.
Read definition Clinical SystemsWhat is Clinical Machine Learning?
Machine learning methods used in clinical contexts, including model development, validation, deployment, monitoring, and risk.
Read definition Governance, Evidence, and InfrastructureWhat is Health AI Evaluation?
How AI health systems are tested, reviewed, monitored, and assessed against their intended use, setting, claims, and risk.
Read definition Governance, Evidence, and InfrastructureWhat is Health AI Safety?
The boundaries, safeguards, oversight, escalation rules, and monitoring used to reduce harm in Health AI systems.
Read definition Governance, Evidence, and InfrastructureWhat is Health AI Governance?
The controls, oversight, documentation, validation, accountability, and monitoring needed for responsible Health AI systems.
Read definition Governance, Evidence, and InfrastructureWhat is Evidence AI?
AI systems that help retrieve, organize, summarize, compare, or evaluate evidence in health, medicine, research, and policy.
Read definition Governance, Evidence, and InfrastructureWhat is Federated Health Data?
Distributed health data access for privacy-preserving analytics, research, evidence retrieval, and AI infrastructure.
Read definition Governance, Evidence, and InfrastructureWhat is Health AI Infrastructure?
The data, models, systems, controls, monitoring, and deployment layers supporting responsible AI in health settings.
Read definition Care Delivery and OperationsWhat is Operational AI in Healthcare?
AI used for healthcare operations, workflow support, access, administration, logistics, and system coordination.
Read definition Care Delivery and OperationsWhat is Care Navigation AI?
AI systems that help people find information, understand possible next steps, locate services, or connect with human support.
Read definition Care Delivery and OperationsWhat is Ambient Clinical Documentation?
AI-supported documentation systems that listen to, structure, summarize, or draft clinical notes from care encounters.
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