Speaker Profile

VP, Chief Data & Insights Officer, Anthem

Ashok Chennuru is a veteran Anthem employee with 20 years + experience.  He currently serves as the Chief Data and Analytics Officer. In this role he over oversees enterprise data management, AI & Digital Strategy, technical delivery of all capabilities in Provider Collaboration/Enablement & Analytics, Clinical and Member Management analytics, technical delivery of Commercial and Government Risk Adjustment initiatives, Medicare revenue Management including STARS, and Clinical quality Management(HEDIS), program integrity (Fraud, Waste and Abuse) for Commercial and Government markets, technical delivery of Employer Analytics, Health Information Technology strategy, and technical delivery and Architecture for Anthem around its Provider Data Strategy including the integration and operational uses to feed the data in the Common Data Foundation to the consuming platforms to support directories, claims payment provider portal and Consumer facing solutions. Prior to joining Anthem, Ashok led the Information Business Intelligence team in Liberty Mutual and focused on delivering analytics to key business areas like Actuarial & Finance.  Preceding Liberty Mutual, Ashok worked in software giants SAP and Oracle as a software development engineer focused on analytics products. Ashok holds a Master’s degree (MS) in Computer Science from University of Missouri and BS in Computer Science and Engineering from Madurai University in India.

 Session Abstract – PMWC 2022 Silicon Valley

The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.


  • Data Sharing Application: Needs, Advancements, and Challenges
    - Russ Cucina, UCSF
  • Trustless Data Sharing; Expected Effects on Healthcare Industry
    Session Chair: Riddhiman Das, TripleBlind
    - John Halamka, Mayo Clinic
  • Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data
    Session Chair: John F. Kalafut, Asher Orion Group
    - Joel Sevinsky, Theiagen Genomics
    - Ittai Dayan, Rhino Health
    - Russ Cucina, UCSF
    - Sharmila Majumdar, UCSF
    - Ashok Chennuru, Anthem
  • Sustainable Data Systems via FAIR Data Principles
    Session Chair: Alex Sherman, MGH
    - Wade Davis, Karius
  • Multi-Factor Data Science to Inform Clinical Research
    Session Chair: Charlotte Nelson, MATE Bioservices
    - Gundolf Schenk, UCSF
  • Translational AI: Innovation to Clinical Implementation and Reimbursement
    Session Chair: John J. Sninsky, Translational Consultant
    - Katy Wack, PathAI
    - Steve Anderson, LabCorp
    - Nigam Shah, Stanford
    - Rachael A Callcut, UCD
  • Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development
    Session Chair: Patrice P Denefle, Centogene
    - Purvesh Khatri, Stanford
    - Marina Sirota, UCSF
  • AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
    Session Chair: Robert Hauser, Vidence
    - Alan Kaplan, LLNL
    - Peter Yu, Hartford Healthcare
    - Amir Bahmani, Stanford
    - Andrew Le, Buoy Health
  • PMWC 2022 Showcase
    - Kelly Hall, InheRET, Inc.