There is a massive shortfall in the enrollment and accrual of patients for clinical trials. Identifying the “right patients for the right trials at the right time” is a growing concern for providers, pharmaceutical companies, and clinical research organizations. In this webinar, we will discuss the evolution of clinical trials, including how to break barriers to enable successful clinical research as a care option, how clinical research impacts patient satisfaction and revenue, and more.
Network, Technology, and Data: Missing Pieces of the Puzzle for Clinical Trials Success
1. Network, Technology, and Data: Missing
Pieces of the Puzzle for Clinical Trials
Success
Sadiqa Mahmood
GM & SVP, Life Sciences Business
Health Catalyst
Raymond Sanchez, MD
Chief Medical Officer
Cerevel Therapeutics
13. Our vision is to present world class solutions bringing insights to
researchers' fingertips, which is derived from high-quality data and patient
engagement, to expedite clinical trials and real-world evidence leading to
optimal health for as many people as possible.
16. Touchstone MatchTM
• A curated network of healthcare provider systems,
biopharmaceutical companies, and contract research
organizations (CROs).
• Facilitates connections and collaboration to increase the
efficiency, reach, and value of clinical research efforts.
• Includes access to Touchstone data when you contribute a
minimum viable data set.
• Influences the development of Health Catalyst Life Sciences
offerings.
Our Approach to Clinical Trials
Health Catalyst Research NetworkTM
(HCRN)
Patient-specific treatment regimens and clinical condition data
support personalization of new or in-flight patient engagement
pathways during clinical trials
Health Catalyst products and services to support key research
network use cases:
Pop Analyzer: Application to quickly develop patient
cohorts for clinical research.
Touchstone: National repository of high-quality,
research-grade healthcare data.
Healthcare.AI Expert Services: Access to a team of data
science experts who can guide the effective use of
augmented intelligence (AI) in research use cases.