A solid data foundation is the cornerstone of personalized medicine.
Healthcare and life sciences have access to data from a staggering number of sources. Each of these data repositories, such as national registry sources, internal patient care systems, multiple billing systems, laboratory results, as well as advanced genomic processing equipment, tells a part of a patient’s story. Combining these data sources into one coherent narrative is no small feat.
Despite an abundance of data and sources, many health care providers struggle to get the right data in the hands of the researchers who can do the most with it.
In this presentation, we will share with you how we helped a leading cancer research center with its data foundation to enable personalized healthcare and improve the outcomes of cancer patients.
You will learn:
- The key considerations of data leaders in healthcare
- The many challenges of personalized medicine, including interoperability issues, data architecture requirements, and compliance
- Actionable steps to overcome challenges explained via a real-world use case.
Bill is a seasoned technology executive with comprehensive experience delivering business-impacting enterprise, big-data business intelligence, and predictive analytic solutions.