About the Webinar

Life science organizations need data-driven strategies to succeed in the competitive and dynamic business landscape. So, Real World Data (RWD) from traditional structured and unstructured sources such as claims and electronic health records and non-traditional sources such as sensors, wearables, and medical devices have assumed increased importance. Extracting value from these RWD sources enables Real World Evidence (RWE) that can support key decisions across product development, market access, and patient and provider engagement. Collectively these efforts optimize patient outcomes from therapy.

With the growing quantity and variety of RWD, the importance of curating and enriching this data continues to increase as well. To leverage expansive RWD, it must be comprehensive, complete, reliable, normalized, and accessible to key stakeholders within a life sciences organization.

Timely data curation and enrichment are preconditions for delivering personalized solutions to meet patient demands and demonstrate the full value of their portfolios. Though the heavy lifting of performing these data processing functions is critical for life science organizations' success, it has not received adequate focus up until now. In this webinar, you will learn:

You will learn

  • How to harness the value of RWD in enabling RWE across the Life Sciences value chain.
  • How to ingest, govern, normalize, and standardize data from multiple traditional and non-traditional data sources and make it appropriately accessible in time within your organization
  • How data curation supports your mission as a life sciences organization.
  • How access to enriched data supports Artificial Intelligence & Machine Learning and how it contributes to improving patient outcomes.

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About the Webinar

Life science organizations need data-driven strategies to succeed in the competitive and dynamic business landscape. So, Real World Data (RWD) from traditional structured and unstructured sources such as claims and electronic health records and non-traditional sources such as sensors, wearables, and medical devices have assumed increased importance. Extracting value from these RWD sources enables Real World Evidence (RWE) that can support key decisions across product development, market access, and patient and provider engagement. Collectively these efforts optimize patient outcomes from therapy.

With the growing quantity and variety of RWD, the importance of curating and enriching this data continues to increase as well. To leverage expansive RWD, it must be comprehensive, complete, reliable, normalized, and accessible to key stakeholders within a life sciences organization.

Timely data curation and enrichment are preconditions for delivering personalized solutions to meet patient demands and demonstrate the full value of their portfolios. Though the heavy lifting of performing these data processing functions is critical for life science organizations' success, it has not received adequate focus up until now. In this webinar, you will learn:

You will learn

  • How to harness the value of RWD in enabling RWE across the Life Sciences value chain.
  • How to ingest, govern, normalize, and standardize data from multiple traditional and non-traditional data sources and make it appropriately accessible in time within your organization
  • How data curation supports your mission as a life sciences organization.
  • How access to enriched data supports Artificial Intelligence & Machine Learning and how it contributes to improving patient outcomes.

About the Presenters

David Nace MD
David Nace MD
Chief Medical Officer at Innovaccer, Former VP & CMO at Aetna, & Former VP at McKesson

Dr. David Nace is a physician executive with over 20 years of senior management experience in large healthcare systems, payer health plans, leading healthcare providers, and health information technology organizations. With his strong collaborative and cross-functional leadership skills, he has demonstrated excellence in business development, client relationships, communication and presentation skills, executive presence, and an ability to mentor, lead, and educate. Dr. Nace’s areas of interest include clinical integration, accountable and value-based care, patient-centered medical home, population health, and the application of technology in healthcare innovation. He is passionate about new models of care delivery, collaboration across markets and industries, disruptive innovation, and patient centered care.

Adam Sinensky
Adam Sinensky
Senior Director, Group Product Manager - Life Sciences at Innovaccer

Adam has 15+ years experience in the healthcare industry across management consulting for the Life Sciences industry as well as product and operations roles for healthcare IT organizations across Provider, Payer and Life Sciences. In his current role as Group Product Manager, Life Sciences, for Innovaccer, Adam leads the overall product strategy and product execution for Innovaccer's Life Sciences market solutions.

Kelly H. Zou, PhD, PStat, FASA
Kelly H. Zou, PhD, PStat, FASA
Head of Medical Analytics and Real World Evidence at Viatris

Kelly H. Zou, Ph.D., PStat®, FASA is Head of Medical Analytics and Real World Evidence, Viatris. Previously, she was Vice President, Head of Medical Analytics & Insights, R&D and Medical, Upjohn, a legacy division of Pfizer, now a division of Viatris. She is an elected Fellow of the American Statistical Association (ASA) and an Accredited Professional Statistician. Previously, she was Senior Director, Global Real World Evidence Center of Excellence, as well as Senior Director, Statistical Center for Outcomes, Real World & Aggregate Data at Pfizer Inc. She was Associate Professor at Harvard Medical School, as well as Director of Biostatistics at its affiliated teaching hospitals. She was Associate Director of Rates at Barclays Capital. She received a PhD degree in Statistics from the University of Rochester. She completed her Postdoctoral Fellowship at Harvard Medical School. Her research interests include health policy, real world evidence, and artificial intelligence, with over 140 professional articles and 4 books. Shas served as Chair, Committee of Presidents of Statistical Societies Awards; Chair and Secretary, ASA Health Care Policy Statistics Section; Chair and Vice Chair, ASA Statistical Partnerships among Academe, Industry, and Government Committee; Chair-Elect, ASA Text Mining Interest Group. She was featured as an Outstanding Woman in Data Analytics by Forbes, an Inspirational Women in Statistics & Data Science by Wiley and the Royal Statistical Society, and an Accomplished Woman in Statistics and Data Science by the ASA.