Webcast: Using Knowledge Graphs & Connected Data to Drive Patient-Centric Analytics: An M2Gen Case Study
February 4th, 2020 at 1:00 PM ET
Biopharmaceutical companies engaged in oncology research and product development have long struggled to create an integrated, comprehensive view of distributed structured and unstructured clinical trial data. The immense complexity and cost of managing and transforming massive amounts of disparate data, as well as the shortcomings of traditional data management solutions and architectures, have hampered meaningful data analytics and insights.

M2Gen, a pioneering health informatics solutions company focused on accelerating the discovery and development of precision medicine and the operational arm of the Oncology Research Information Exchange Network ® (ORIEN), has been a leader in the use of knowledge graph and connected data to integrate large volumes of distributed, clinical trial data and to facilitate a collaborative approach to the fight against cancer.

Register for this live fireside chat featuring Jamie Powers, a Principal Consultant for Healthcare at Cambridge Semantics, and Judy Barkal, Chief Technology and Medical Informatics Officer at M2Gen, to learn how they are using knowledge graphs and connected data to drive patient-centric data analytics in oncology research.

During this chat, we’ll cover:
  • What does M2Gen do and what services and solutions does it provide to the oncology research market
  • What types of data M2Gen integrates from its network
  • Some of the unique integration challenges faced by M2Gen with integrating such diverse data and the strategies it used to address these challenges
  • Why M2Gen chose to use a knowledge graph and semantic approach
  • The steps M2Gen has taken to implement this innovative approach
  • What is coming from M2Gen, from a data analytics offering perspective, in 2020 and beyond


Jamie Powers
Sr. Director, Healthcare and Data Science
Cambridge Semantics, Inc.

Jamie Powers is a Senior Leader in Data Science and Analytics focusing on healthcare and life science applications at Cambridge Semantics.  His 17-year career has spanned many analytics and data science roles covering the complete spectrum of the Patient Journey, from randomized controlled trials to real world data in EHRs. 

Jamie specializes in demystifying the complex world of technology concepts and solutions. With a combination of comprehensive technical acumen and strategic business leadership experience, he aims to deliver solutions that propel ROI and innovation across all levels of operations for customers.

Jamie holds a Doctor of Public Health in Biostatistics from the University of North Carolina at Chapel Hill.
Judy Barkal
VP, Chief Technology and Medical Informatics Officer

Judy Barkal currently serves as the vice president and Chief Technology and Medical Informatics Officer at M2Gen. She brings deep experience in strategy, innovation, and complex business and technology transformation. Judy’s most recent role was head of Information Strategy and Innovation at Knight Cancer Institute, Oregon Health and Science University. At OHSU, Judy established a cancer informatics strategic roadmap and, as PI, led the creation of a clinical data repository integrated with genomics data to serve multiple cancer researchers and programs. Judy was previously a partner at IBM Global Business Services, where she led complex business and technology transformations globally in financial services, healthcare, energy, and retail. Prior to IBM, Judy specialized in clusters and high-performance computing at Sequent Computer Systems. In her early career, she developed safety-critical, real-time flight control systems at Rockwell Collins.
About the Sponsor

Cambridge Semantics Inc. is a modern data management and enterprise analytics software company that enables seamless access, integration, and analysis of all enterprise data via a graph-driven data fabric architecture.

The company delivers solutions that enable IT and business users to accelerate datam delivery and to provide meaningful insights across the organization at hyper-speed and scale.
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