ISPOR Educational Webinar: Leveraging Data Science and Innovative Digital Technologies to Optimize Real World Evidence Generation

By June 1, 2018News

ISPOR will be offering a new, complimentary educational webinar on June 12th, Leveraging Data Science and Innovative Digital Technologies to Optimize Real World Evidence Generation. The webinar is open to all – ISPOR members and non-members – so please join us and forward to colleagues who could benefit.

Real world evidence is playing an increasingly important role in HEOR and healthcare decision-making. However, the diverse nature and sheer volume of real world data presents a number of challenges to healthcare and life sciences organizations aspiring to leverage real world evidence to, respectively, improve patient clinical outcomes, and demonstrate the safety and value of pharmaceutical products.

Whether it’s structured, multi-structured, or unstructured, today’s real world data presents a barrier to insight because it is derived from a wide-variety of sources – including electronic health records, genomics data, sensors, wearable devices, etc. – and stored across disconnected silos that make it difficult to integrate and transform this disparate information for analysis and insights. In this webinar, we’ll discuss how data science and digital data technologies are empowering organizations to overcome these obstacles while transforming the way real world evidence is generated and used.

Presented by:

Jyotsna Mehta, Founder, KEVA Health, (Knowledge Evidence Value Access)
Bill Fox, Chief Strategist, Global Healthcare, Life Sciences and Insurance, MarkLogic
Dr. Javier Jimenez, Vice President & Global Head RWE and Clinical Outcomes, Sanofi
Dr. Ashish Atreja, Chief Innovation Officer, Medicine, Mount Sinai Health System
Sponsored by MarkLogic

Event Details:

Tuesday, June 12, 2018 10:00 am
Easter Daylight Time (New York, GMT-4:00)

Participation is open to everyone – members and non-members of ISPOR. Reservations are on a first-come, first-served basis. Only the first 500 participants to login to the webinar will be able to see it.

Webinar Link: