When
: Monday, July 13, 2020 from 1:00– 3:30 pm ET and Tuesday, July 14, 2020 from 1:00–4:30 pm ET
Where
: Online, Virtual Public Workshop
Registration
: Registration is required for each day. Connection information follows registration for each day via e-mail.
The Duke-Margolis Center for Health Policy invites you to a
two-part, two-day online
public workshop
on
Monday, July 13 from 1:00 – 3:30 pm ET and Tuesday, July 14 from 1:00 – 4:30 pm ET
. This public event will explore potential approaches to develop a high-quality, Real World Data (RWD) ecosystem.
The systematic collection of high-quality data is critically important to the function of health systems. While data regarding patient health status or the delivery of health care—referred to as real world data (RWD)—is primarily collected for the delivery and reimbursement of health care services, stakeholders want to use RWD for clinical research and biomedical innovation as well.
To date, stakeholder efforts to improve data quality have focused on a number of areas including curation practices and developing approaches for characterizing and verifying data quality. However, these activities entail substantial time and resources. Improving data capture practices at the point-of-care has the potential to improve the quality of RWD by reducing resource requirements for data curation and promoting the collection of fit-for-purpose data to adequately address key research questions. Discussion will consider technical challenges and cultural barriers to the scalability of data capture processes as well as emerging practices being implemented among the stakeholder community.
Sessions overview:
Day 1: July 13
, 2020, 1:00 – 3:30 pm ET
- Identifying Data Capture Challenges and Understanding Stakeholder Needs
- Emerging Insights and Lessons Learned from Initiatives to Optimize Data Capture at the Point of Care
