Value-Based Care

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Why Clinical Trials Fail to Reach Many Racial Groups: Gen Li, PhD
0:45
Why Clinical Trials Fail to Reach Many Racial Groups: Gen Li, PhD
13 hours ago
by
Sabrina McCrear(+1 more)
Why Digital Control Arms Will Revolutionize Clinical Trials: Gen Li, PhD
0:36
Why Digital Control Arms Will Revolutionize Clinical Trials: Gen Li, PhD
2 days ago
by
Sabrina McCrear(+1 more)
Why Breast Cancer Research Dominates Clinical Innovation: Gen Li, PhD
0:46
Why Breast Cancer Research Dominates Clinical Innovation: Gen Li, PhD
2 days ago
by
Sabrina McCrear(+1 more)
Dr Ryan Haumschild
1:28
Value-Based Care, Infrastructure Drive Access to Disease-Modifying Therapies: Ryan Haumschild, PharmD, MS, MBA, CPEL
24 days ago
by
Brooke McCormick(+1 more)

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Jason Bergsbaken, PharmD, MBA, BCOP, explains the value of pharmacist involvement in precision molecular tumor boards and end-of-life care discussions, highlighting their role in ensuring evidence-based therapy selection, patient-specific recommendations, and shared decision-making that aligns treatment with individual goals.

Clayton Irvine, PharmD, MBA, MS, discusses strategies to address payer-driven biosimilar and prior authorization challenges through integrated digital solutions, while advocating for flexible, regularly reviewed treatment pathways supported by molecular tumor boards and artificial intelligence to balance standardization with personalized, biomarker-driven oncology care.

In this second part of his interview with The American Journal of Managed Care®, Sanjay Doddamani, MD, MBA, a former senior advisor to CMMI and founder and CEO of Guidehealth, continues a dialogue on the future of value-based care and the promise—and limits—of AI-enabled innovation, reflecting on challenges like rising Medicare costs and patients’ growing financial burdens.

A meta-analysis showed that control group outcomes in psilocybin trials for depression were significantly weaker than those in selective serotonin reuptake inhibitor (SSRI) and esketamine trials, suggesting that psilocybin’s large observed treatment effects may be inflated by methodological factors such as functional unblinding and expectancy bias.

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