Ekipa Labs

Thinking Through AI

Explore our blog for insights from AI strategy and solution experts covering everything from consulting and use case translation to implementation roadmaps and real-world solution building.

Showing 1–9 of 15 articles match your filters

10 AI Governance Platforms for Healthcare Teams

Compare 10 AI governance platforms for healthcare teams, covering model lineage, monitoring, access controls, compliance, and selection criteria.

Securing AI Systems in Healthcare: Controls That Matter

Security controls for AI systems in regulated healthcare environments.

Ethical AI in Healthcare: Turning Principles into Checks

How to turn ethical AI principles into practical checks before and after go-live.

AI Governance in Healthcare: Models, Roles and Controls

AI governance in healthcare explained: central, federated and hybrid models, who owns what, lifecycle controls, and the NIST, FDA and ONC rules behind them.

AI Lifecycle Management in Healthcare: From Intake to Retirement

How to manage healthcare AI models from intake to retirement, with the controls and evidence at each stage.

Generative AI Risks in Healthcare and How to Manage Them

The main generative AI risks in healthcare and practical mitigations.

Healthcare AI Operating Models: Structures, Roles and How to Choose

Healthcare AI operating models compared: centralized, decentralized and hub and spoke, the roles each needs, funding, ownership after launch and how to choose.

Responsible AI in Clinical Practice: Five Practical Commitments

Five practical commitments for using AI responsibly in clinical care.

Healthcare Data Stewardship: Roles, Practices and AI Readiness

What healthcare data stewardship covers, the roles involved and why it matters for AI.

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