Day 1: Dec 5, 2023
Day 2: Dec 6, 2023
2:00 pm
CASE STUDY: Self-Service in Healthcare Analytics
Designing Self-Service Data Ecosystems for Clinicians and Researchers
As the demand for evidence-based care and research accelerates, healthcare organizations are increasingly looking to empower clinicians and researchers with direct access to the data they need — without relying on overburdened technical teams. Build modern self-service analytics platforms that enable frontline staff and researchers to query, visualize, and model data — safely and at speed. Receive a blueprint to:
- Build intuitive data access tools that align with clinical workflows and research protocols
- Implement governance frameworks that support safe self-service use of sensitive health data
- Curate reusable data assets, definitions, and query templates to reduce duplication
- Enable responsible innovation by embedding ethics, privacy, and reproducibility into platform design
Transform self-service into it’s a strategic lever for unlocking the full value of health data while protecting what matters most.
