Sifting Through Chaos: Applying a Quality by Design Approach to Data Governance

  • Why applying a Quality by Design approach to data governance is needed to prevent the high costs of data sprawl
  • How data governance ensures Data is FAIR and meets ALCOA++ requirements to ensure data integrity and reliability
  • The components of a comprehensive data governance framework, including data definition, discovery, remediation, reporting, alerting, and retirements
  • How to implement a phased approach to transition from data chaos to control

CLOSING KEYNOTE: Effective inclusion of the patient and patient voice in clinical research

  • Integrating patient perspectives with those of healthcare professionals to create an effective and executable clinical trial
  • Redefining the patients’ role as active collaborators
  • Inclusion of the patient lived experience in clinical trial design, outcome measures, and trial success
  • Listening to patient priorities and fostering ongoing communication and transparency
  • Improving accessibility through digital tools, remote visits and flexible scheduling to help reduce patient burden