AI

Transforming Healthcare Through Responsible AI

At Inception Health, we recognize artificial intelligence as a game-changing technology with the potential to address significant healthcare workforce challenges and transform care delivery. However, we firmly believe that responsible implementation is paramount. Our approach centers on continuous learning and careful evaluation to ensure AI solutions benefit patients, clinicians, and healthcare operations without introducing new risks.

Inception Intelligence: Our AI Ecosystem

Inception Intelligence is our internally developed AI ecosystem designed to provide secure large language model tools for clinicians and healthcare operators. Built with healthcare-specific needs in mind, it leverages four core capabilities:

2. Generative AI for Healthcare Context

   • Assists with communications, documentation, and strategic planning
   • Designed to superpower team members by streamlining complex tasks

4. Knowledge Management and Institutional Intelligence

   • Enterprise-wide knowledge base that consolidates institutional expertise
   • Helps staff quickly find relevant internal documentation and clinical guidelines

6. Seamless Digital Support with EHR Integration

   • Automates time-intensive workflows like writing patient letters and summarizing clinical notes
   • Introduces patient-context-aware LLM usage while maintaining clinician oversight

8. Experimental HIPAA-Compliant AI for Clinical Reasoning

   • Supports clinicians in complex decision-making with context-aware insights
   • Provides AI-driven coaching tools to assist providers in refining clinical reasoning

AI at Froedtert ThedaCare

Our AI implementation at Froedtert ThedaCare is guided by a comprehensive governance framework built on the principle of "First, do no harm." We've aligned our approach with the FAVE principles—Fairness, Accountability, Value, and Effectiveness—to ensure responsible AI adoption.

Our AI Strategy Pillars

• Risk-Based Governance: Every AI use case undergoes a thorough review process to ensure value and safety
• Central AI Registration & Lifecycle Review: All AI initiatives are documented and periodically reassessed
• Learning & Experimentation: As an academic health system, we actively test and refine AI-driven processes
• Enablement & Adoption: We prioritize making AI accessible and useful to our workforce
• Automation with Purpose: AI should streamline workflows without reinforcing inefficient processes

Real-World Implementation

Our governance framework has guided numerous AI decisions, including:

• Approved: AI-driven hospital census forecasting and LLM-based insights for surgical case length predictions
• Carefully Evaluated: Various LLM platforms to ensure operational readiness and proper workflow integration
• Prioritized Security: Exploring secure AI architectures that bring models to our data rather than sending sensitive information externally

Why Our Approach Matters

Healthcare AI implementation requires more than just advanced technology—it demands a thoughtful approach that considers clinical workflows, patient safety, and ethical implications. At Inception Health, we're building an AI ecosystem that:

• Empowers rather than replaces clinicians: AI serves as a co-pilot, enhancing human expertise
• Prioritizes security and compliance: All solutions are designed with HIPAA compliance and data privacy at their core
• Addresses real healthcare challenges: Our focus remains on solving meaningful problems that impact care delivery
• Evolves through continuous learning: We refine our approach based on outcomes and emerging best practices

Looking Ahead

While our initial focus is on documentation automation, clinical reasoning assistance, and knowledge management, we see immense potential in expanding patient-facing AI applications, including:

• Translating medical information into patient-friendly formats to improve health literacy
• Enhancing the after-visit journey with AI-powered guidance and education
• Integrating AI within Here Health, our digital-first clinical service

As we continue to develop and implement AI solutions, we remain committed to responsible innovation that measurably improves healthcare delivery while maintaining the human connection at the heart of medicine.