Ep 32 | Exploring AI Patient Care and Clinical Decision Making with Carole Tremonti

In this episode of the Only Healthcare Podcast, host Randy Vogenberg, PhD, is joined by Carole Tremonti of ConcertAI to recap insights from the Clinical Pathways Congress in Boston and discuss the Predictable Cost of Care initiative. Carole shares how the congress reflected stronger engagement, broader perspectives, and deeper integration across clinical pathways, oncology operations, and the business of cancer care.

The discussion highlights how pathways have evolved over the past five years through improved data capture and workflow automation, enabling population-level learning alongside more personalized treatment decisions. Carole also explains where AI can add near-term value in pathways by incorporating comorbidities, social determinants of health, and real-world evidence to help guide patients toward treatments they can sustain.

The episode concludes with an overview of the Predictable Cost of Care model, an effort to move beyond drug cost alone by estimating predictable treatment-related costs across six-month and one-year timeframes. Carole outlines key challenges, including variability in side effect management and the lack of shared standards, and shares next steps to validate the model with real data. The conversation closes on how this work could support better planning, clearer patient conversations, and reduced prior authorization friction through greater predictability and transparency.

Key Topics Discussed

• Clinical Pathways Congress highlights and cross-functional alignment
• Pathway evolution through improved workflows and data capture
• Where AI adds practical value in oncology pathways
• Why predictable cost matters more than retrospective total cost
• What the Predictable Cost of Care model includes and excludes
• Six-month and one-year cost windows for fair regimen comparison
• Challenges in standardizing side effect management costs
• Who benefits from the model across the healthcare ecosystem
• Next steps and long-term potential for evidence-based decisions

Chapters
00:00 Welcome and guest introduction
03:00 Congress recap and key takeaways
07:00 Pathway evolution: data and workflow
12:00 AI in pathways and real-world decision support
18:00 Why predictable cost of care needed
22:00 Predictable Cost of Care model overview
29:00 Model inputs and time horizons
40:00 Side effect cost challenges
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