Ron’s virtual/webinar topics for 2026
Reclaiming the Joy of Medicine: Quantifying the ROI of Ambient Intelligence
Addresses the escalating crisis of clinician burnout by showcasing a revolutionary approach: Ambient Intelligence. It delves into how AI reduces 'pajama time' and restores vital work-life balance.
Key Takeaways
- Link between ambient AI and reduced burnout.
- How to quantify financial and human ROI.
- Real-world system deployment case studies.
- Mechanisms reducing documentation by up to 40%.
- Insights into clinician retention and morale.
The Documentation Detox: How Ambient Intelligence Is Finally Giving Clinicians Their Evenings Back
Explores AI-powered tools revolutionizing clinical workflows, moving beyond simple transcription to contextually understand patient encounters.
Key Takeaways
- How AI provides true documentation support.
- Case studies on documentation time reduction.
- Impact on burnout and job satisfaction.
- Coding accuracy and revenue integrity.
- The future of human-AI collaboration.
The Dawn of the AI Agent: Moving from Scribes to Autonomous Workflows
Shifting from assisting tools to autonomous AI agents capable of planning, reasoning, and acting within governed frameworks.
Key Takeaways
- Difference between AI scribes and agents.
- Automating complex administrative cycles.
- Architecture and governance for agents.
- Reducing burden of prior authorizations.
- Identifying agentic AI solutions.
Robotic Process Automation (RPA) in Revenue Cycle Warfare
Uses 'digital soldiers'—RPA bots—to fight denials, underpayments, and administrative inefficiencies in the revenue cycle.
Key Takeaways
- Strategic RPA application in revenue cycles.
- Use cases for denials and authorizations.
- Reducing administrative burden.
- ROI of RPA in revenue integrity.
- Building an automation strategy.
Shadow IT's Responsible Sibling: Giving Researchers a Local LLM Sandbox
Solving the 'Shadow AI' challenge by providing a secure, local environment for LLM experimentation with de-identified data.
Key Takeaways
- Risks and challenges of Shadow AI.
- Local LLM Sandbox concept for innovation.
- Deploying pre-trained models on workstations.
- Interacting with data without security incidents.
- Fostering innovation with IT governance.
Sovereign AI: The New Economics of Medical Research
A paradigm shift to Sovereign AI where organizations gain complete control over their hardware, models, and data privacy.
Key Takeaways
- Economic imperatives driving Sovereign AI.
- CAPEX vs OPEX in AI infrastructure.
- Building secure local AI capabilities.
- Governance for controlled infrastructure.
- Protecting IP from third-party visibility.
Interoperability Is a Compliance Myth: Building Data Highways
Focuses on practical strategies for moving information beyond compliance checkboxes to achieve genuine data liquidity.
Key Takeaways
- Why traditional interoperability falls short.
- Practical strategies for data highways.
- API-first approaches and data liquidity.
- Overcoming the 'referral black hole'.
- Moving from compliance to transformation.
Ethical AI Governance in Clinical Decision Support
A framework for building bias-resistant systems that ensure equitable and transparent patient outcomes.
Key Takeaways
- Ethical challenges of AI in CDS.
- Building bias-resistant AI systems.
- Strategies for vetting AI algorithms.
- Oversight and accountability frameworks.
- Policies that foster trust and prevent harm.