Real-World Data (RWD) & Life Science Analytics Congress to be Held in Boston, United States on 25 - 26 October 2018
Our aim at the Real-World Data & Life Science Analytics s to bring these two worlds together to understand how to leverage traditional data sets and layer that in with RWE, the operating models for both and analytic capabilities necessary to achieve clinical development.
- Boston, MA-NH (1888PressRelease) October 24, 2018 - Markets and Markets is all set to present an event to discuss the innovative alliance of Real-World Data & Life Science Analytics Congress for the prosperous future of the healthcare industry. Its a great platform to discover the significance of Real World Evidence (RWE) in healthcare.
Speakers in the event will converge and talk on a range of topics, focusing on the need for RWD and how it plays an important role in improving the lives of patients and clinical trials.
Healthcare organizations are entering into the leading-edge world of value-based payments hence they need to embrace the enhanced analytics to identify the potential benefits and risks and improving the quality of clinical performance. However, there are a few risks involved as they are uncertain about where to start, which tools to use and how effective it is.
RWE is a burgeoning field and there is no better time like now to get started. It has a tremendous potential to provide valuable insights into treatment decisions. Researchers, analysts, physicians, clinicians, regulators, pharmaceuticals and healthcare professionals, insurance companies can come and attend the brainstorming sessions to learn the elevation in this field.
Event Venue:
Real-World Data & Life Science Analytics Congress will be held at:
Holiday Inn Boston-Brookline
1200 Beacon Street, Brookline, Massachusetts, 02446, United States
Key Highlights of the Event:
The prime objective of the event is to bring the world together for the betterment in healthcare. The attendees will get to know about:
An explosion of data availability
Data Expansion
Limitations of RWE
Different uses of real-world evidence data
Clinical uses of RWE
Payers perspective
RWE and patient-centric data in non-clinical settings
Clinical trial optimization
Machine learning algorithms
Novel analytical tools
Health economics and outcomes research
Governance and compliance
Data security and privacy
Patient models for effective use of analytics
Integrating artificial intelligence
Advanced and intelligent analytics
###
space
space
Satisfied Users & 
Approved Press Releases
Print
Email
Report Spam