Description

***SPECIAL NOTE: Space in this session is limited, and adding this session to your registration does not guarantee attendance. If you are selected to participate, you will receive confirmation via an email invitation from AMIA prior to the conference.

Target Audience: Senior leaders at academic and community health systems and cancer centers; (translational) healthcare researchers; clinical data scientists; (bio)medical informatics specialists; providers/health systems; health system CIOs, CMIOs, CMOs.

For patients with diseases like advanced cancer, clinical trials often offer the best treatment. Yet for providers eager to open trials, administrative and data burdens limit capacity. As research grows more complex and programs face understaffing, manual data entry and fragmented systems cause frustration and inefficiency. Manual data collection from EHRs into research systems slows progress, decreases accuracy, and increases costs. Despite regulatory acceptance of EHR-collected data, organizations struggle to maintain data integrity and streamline trial processes.

In this session, Paradigm Health will highlight the limitations of current methods and explore how intelligent automation and provider-embedded eSource tools capture standardized, trial-relevant data from EHRs, reducing redundancies, enhancing accuracy, and improving efficiency. Participants will understand how current approaches and manual processes impact trial operations and costs; discover solutions to centralize and automate data extraction (structured and unstructured); and learn strategies to improve data accuracy and reduce site monitoring needs. Attendees will gain actionable strategies for reducing manual data entry and ensuring high-quality data collection, helping to improve operational efficiency and scale trial capacity.

Lunch will be provided.

Speaker(s):
Betty Mbom, PhD, VP, Strategic Partnerships,
Paradigm Health

Miten Mistry, Director, Product Management
Paradigm Health