How are you working to advance analysis and enhance affected person outcomes? Are you exactly matching data throughout disparate datasets? Discover out at a Webinar on Feb 1st 1pm ET Sponsored by LexisNexis Threat Options Well being Care
Healthcare’s fragmented information silos and strict however needed privateness restrictions make it tough to hyperlink real-world datasets. Legacy tokenization expertise has helped hyperlink data throughout disparate information sources, but it surely lacks the accuracy required to uncover actionable insights that may actually enhance affected person outcomes. Subsequent-generation tokenization expertise leveraging a Referential Information Layer is required to match de-identified data with precision. Hear from Solis Mammography’s CMO on how they’re leveraging referential tokenization expertise to hyperlink their longitudinal imaging information with complementary medical and genomics information, enabling in-depth breast most cancers analysis to champion girls’s long-term well being and wellness.
In case you care about healthcare enchancment, and need to proceed to make an affect, be part of us to be taught extra about:
• What’s referential tokenization and why it issues in healthcare
• Challenges and limitations of legacy tokenization expertise
• The ability of linking real-world information units by means of a community of curated companions
• How Solis Mammography is leveraging referential tokenization to advance girls’s well being
• Actionable use circumstances demonstrating referential tokenization additional empowering your group to enhance affected person outcomes.
Be a part of Us | February 1 @ 1pm ET/10am PT | Register Immediately
Audio system are: Camille Prepare dinner, MPH, Sr. Director, Healthcare Technique, RWD @LexisNexis® Threat Options
Camille has 15 years of expertise in healthcare with a deal with leveraging big-data to enhance medical care outcomes. All through her profession, Camille efficiently carried out progressive practices for healthcare IT, healthcare organizations, and life sciences corporations using well being informatics, big-data, epidemiology, and human conduct patterns to create actionable insights that information healthcare coverage and significant use practices. Camille has spent the final 7 years evaluating syndromic infectious illness tendencies, healthcare operations, well being financial outcomes analysis, and social determinants of well being.
Matt Veatch, Actual World Information Guide, Founder and Managing Director @Revesight Consulting
Leveraging over 25 years of expertise in biopharmaceutical product and medical system growth, Matt advises life science corporations on world RWD entry and RWE strategic planning, execution, and M&A investments. Previous to establishing Revesight Consulting in 2017, Matt served in varied company management positions, most just lately as Vice-president of Strategic Operations at Syneos Well being, main initiatives in RWD entry and decentralized research administration. Previous to Syneos, Matt rose by means of varied ranges to turn into the World Head of RWD-Pushed Analysis for Quintiles, founding and main the landscape-changing strategic collaboration with IMS Well being in 2015, instantly seeding the $19 billion merger of the companies in 2016 to kind IQVIA. Moreover, Matt is a Founding Board Member of the Decentralized Trials & Analysis Alliance.
Chirag Parghi, MD, MBA, Chief Medical Officer @Solis Mammography
Dr. Chirag Parghi is a board-certified radiologist with fellowship (subspecialty) coaching in breast imaging and the Chief Medical Officer of Solis Mammography the place he oversees medical high quality throughout greater than 100 breast facilities. As CMO, he additionally leads the medical analysis endeavors the place he’s the principal investigator on a number of trials and manages relationships with the assorted radiologist practices. Dr Parghi remains to be a training radiologist with an instructional appointment at Albert Einstein medical heart in Philadelphia. Dr. Parghi’s medical pursuits are rooted in using rising applied sciences (together with AI) to facilitate the early prognosis, individualized danger modeling, and therapy of breast most cancers.
