| Page 38 | Kisaco Research

Industry benchmarks to measure the impact of payment integrity currently don't exist, making it challenging to optimize performance and areas of opportunity. Standards are extremely complicated due to varied member populations and an inconsistent approach to calculating metrics.
In this groundbreaking panel discussion, learn how a Working Group of payer and vendor SMEs have been collaborating over the last six months to develop a standard approach to calculating savings PMPM across LOB and audit programs. This session will share standard definitions and calculations, so attendees can understand how to calculate and compare their savings PMPM.

Learning Objectives:

  • Learn about standard definitions and calculations for savings PMPM that apply to any type of plan, across LOB, region, and program audit
  • Understand how to develop savings PMPM metrics that are comparable to a standard industry range
  • Provide feedback on the approach to ensure benchmarks are applicable to your organization
  • Access resources and expert guidance to support development of benchmarks 
Payment Integrity

Curated meetings based on your RCM/PI painpoints and investments -30 minutes each -3 meetings per registered individual -All those not scheduled to take meetings will be encouraged to take part in interactive sessions, competitions and activities in the exhibition room.

Medical Cost Containment

Take a break to grab a drink, enjoy a snack, and connect with presenters after their sessions. Don’t miss the interactive sessions and competitions happening in the exhibition room during this time!

Medical Cost Containment

Discover how to turn price transparency from a regulatory requirement into a strategic advantage across revenue cycle management and payment integrity. This session will explore how hospitals and health plans can leverage pricing data to drive smarter audits, reduce payment disputes, and strengthen compliance, all while improving patient trust and financial outcomes.

Learning Objectives:

  • Understand how both hospitals and health plans can integrate pricing data into payment integrity processes to proactively identify discrepancies, minimize denials, and resolve disputes more efficiently.
  • Learn best practices for aligning data sources, contract terms, and audit strategies between health plans and hospitals to ensure ongoing compliance with price transparency regulations and avoid penalties
Medical Cost Containment
 

Mark Buehrer

PE Founder & CEO
heartfoods

Mark Buehrer

PE Founder & CEO
heartfoods

Mark Buehrer

PE Founder & CEO
heartfoods
 

Priya Kesavan

Principal, Azure AI Systems Strategy
Microsoft

Priya Kesavan is an AI Strategy Principal at Microsoft. In her current role, she leads the development of long-term strategies and roadmaps for Microsoft's in-house AI hardware systems. In the past, Priya held several leadership positions in product management for SoC and systems development at Intel and Cisco. Driven by a passion for harnessing AI to address complex real-world challenges and improve user experiences, she is a strong advocate for "AI for good." Priya is also committed to empowering women in technology and AI, spearheading initiatives to foster their growth and advancement.

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Priya Kesavan

Principal, Azure AI Systems Strategy
Microsoft

Priya Kesavan

Principal, Azure AI Systems Strategy
Microsoft

Priya Kesavan is an AI Strategy Principal at Microsoft. In her current role, she leads the development of long-term strategies and roadmaps for Microsoft's in-house AI hardware systems. In the past, Priya held several leadership positions in product management for SoC and systems development at Intel and Cisco. Driven by a passion for harnessing AI to address complex real-world challenges and improve user experiences, she is a strong advocate for "AI for good." Priya is also committed to empowering women in technology and AI, spearheading initiatives to foster their growth and advancement. She holds a degree in Computer Engineering from Madras University.

 

 

Ashwin Gumaste

Principal Architect Azure Network Hardware
Microsoft

Ashwin Gumaste is an AI Architect at Microsoft. He specializes in building AI systems, scaling networks, and model estimation. Before joining Microsoft, Ashwin held key roles at Infinera, Cisco, and Fujitsu, as well as academic positions at IIT Bombay and MIT. Earlier in his career at IIT Bombay, he designed, developed, and successfully commercialized carrier Ethernet switch routers, earning India's highest science and technology honor, the Bhatnagar Prize.

Read full bio

Ashwin Gumaste

Principal Architect Azure Network Hardware
Microsoft

Ashwin Gumaste

Principal Architect Azure Network Hardware
Microsoft

Ashwin Gumaste is an AI Architect at Microsoft. He specializes in building AI systems, scaling networks, and model estimation. Before joining Microsoft, Ashwin held key roles at Infinera, Cisco, and Fujitsu, as well as academic positions at IIT Bombay and MIT. Earlier in his career at IIT Bombay, he designed, developed, and successfully commercialized carrier Ethernet switch routers, earning India's highest science and technology honor, the Bhatnagar Prize. A distinguished fellow of the Indian National Academy of Engineering and the National Academy of Sciences in India, Ashwin has made significant contributions to AI and network engineering. He has authored three books, published 215 peer-reviewed papers, and holds 28 granted patents.

 

 

Apala Guha

Principal AI Architect
Microsoft

Apala Guha is Principal AI Architect at Microsoft. In her current role, she studies AI model architectures and analyzes their behavior and performance on GPUs. With these insights, she co-designs SoCs, systems and compilers for Azure AI. In the past, she was part of AI hardware development at Tenstorrent and Lightmatter. She has a PhD in Computer Engineering from University of Virginia and has held several academic research positions on accelerator compilers.

Read full bio

Apala Guha

Principal AI Architect
Microsoft

Apala Guha

Principal AI Architect
Microsoft

Apala Guha is Principal AI Architect at Microsoft. In her current role, she studies AI model architectures and analyzes their behavior and performance on GPUs. With these insights, she co-designs SoCs, systems and compilers for Azure AI. In the past, she was part of AI hardware development at Tenstorrent and Lightmatter. She has a PhD in Computer Engineering from University of Virginia and has held several academic research positions on accelerator compilers.