Lunch and Learn - Hosted by Paradigm Health
Reimagining Clinical Trial Execution: Streamlining Data Entry and EHR-EDC Integration to Boost Efficiency and Outcomes
Tuesday, March 11, 2025 | 12:15-1:15 pm
For patients with diseases such as advanced cancer, participation in clinical trials is often the best treatment option. Even for providers with the desire to open and offer clinical trials, the administrative and data collection burdens of research protocols are substantial and limit trial capacity. As clinical trials are growing more complex and research programs are understaffed, inefficient manual data entry and fragmented technical systems continue to challenge healthcare organizations and are cited as one of the leading causes of research frustration and limited trial capacity.
The reliance on manual data collection from electronic health records (EHR) into research systems decreases speed and accuracy while driving up costs and staff burdens. This continues to be the practice despite regulatory acceptance of data collected in EHRs in commonly accepted formats, ontologies, and standards. For clinical informatics professionals, the challenges in maintaining data integrity, improving system interoperability, and engaging with trial sponsors presents an opportunity to improve the efficiency and accuracy of clinical trial conduct. In this session, Paradigm Health will highlight the limitations of current trial execution methods and demonstrate how intelligent automation and provider-embedded eSource tools can capture trial-relevant clinical standardized data from structured and unstructured sources in EHRs. These solutions enhance data accuracy, shorten research timelines, reduce staff burden and streamline operations—ultimately improving clinical trial conduct and impact.
Please note: you must register in advance to attend this event. 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.
Key Learning Objectives
- Understand how the burden of manual data entry and fragmented systems impact trial site operations, including reduced study capacity and increased operational costs.
- Discover how innovative solutions can centralize trial data, reduce redundant tasks, and automate data extraction from both structured and unstructured sources.
- Learn how automation can improve the accuracy and timeliness of data, reducing the need for queries and site monitoring visits, while enhancing overall clinical trial data quality.
This session will provide attendees with actionable strategies for reducing manual data entry and ensuring high-quality data collection, helping to improve operational efficiency and scale trial capacity—all while maintaining robust data traceability, ensuring regulatory compliance, and reducing protocol deviations.
Speakers
- Betty Mbom, PhD
Vice President, Strategic Partnerships, Paradigm Health - Miten Mistry
Director, Product Management, Paradigm Health
Target Audiences
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.