Okan Ekinci is the Chief Medical Officer for Diagnostics Information Solutions (DIS) at F. Hoffmann La-Roche Ltd in Basel, Switzerland. He is a member of the leadership team of DIS, an organization focused on decision support solutions, powered by aggregated data and advanced analytics, in support of Roche’s personalized healthcare (PHC) strategy. The goal is to redefine how data and analytics can drive patient care and R&D to help ensure the right treatment reaches the right patient.
Okan has 20+ years of experience in the healthcare sector, including 8 years of clinical practice in cardiology. Before joining Roche, he was the Global Head & Vice President of the Healthcare Consulting business at Siemens Healthineers, developing and offering IT-enabled transformation and clinical consulting services. With his team, he introduced data-driven innovative offerings such as Radiology Performance Management Services and 4D Workflow Simulation Services for healthcare institutions. Prior to that, he established the Global Medical Office of Healthineers and served as its first CMO, across imaging, in-vitro diagnostics, and healthcare IT.
Okan is an Adjunct Professor of Medicine at University College Dublin, Ireland, holds an MBA from the European School of Management and Technology, Berlin and an MD from the University of Mainz, Germany. He’s an alumnus of Harvard Business School‘s VBHC Value Measurement program.
39 – How Real-World Data Paves the Way for Personalized Healthcare (Innovation, Life Sciences; Course Level-Advanced)
Knowledge in healthcare is rising at unprecedented speed, soon by a factor of two. Better understanding of disease evolution, new diagnostic tools such as molecular testing, and advances in treatment options have shown that this continuous growth of knowledge is the foundation for personalized healthcare.
On the other hand, this growth of knowledge also creates complexity at such a level that its use for decision making–in both research and clinical care–increasingly requires the use of digital tools. Additionally, vast amounts of clinical trial and real-world data is being generated across institutions and geographies that could provide appropriate scale in order to gain actionable insights for decision support tools.
Prof. Okan Ekinci will provide insights on how life science is evolving to address personalized healthcare, using examples from Roche. He will discuss how data-driven Clinical Decision Support Solutions evolve and help healthcare institutions in their digitization effort to ultimately improve patient outcomes as well as clinician satisfaction at an increased level of efficiency and quality.