Oncology sites across the US are investing in AI to drive operational performance in the face of complex protocols, stringent eligibility criteria, high rates of protocol deviations and high dropout rates.
Using AI in cancer research to analyze electronic medical records and identify patients with specific genetic markers can help design clinical trial protocols by optimizing inclusion/exclusion criteria; it can help assess site feasibility and select research sites with access to eligible patients; and it can help reduce the time site staff spend on manual chart reviews to accelerate recruitment.
But, for AI to deliver on its promise, sponsors need to understand how to partner with AI-driven sites.
Join this webinar for an inside look at how an oncology research site is using AI to address the complexities of oncology study operations.
Robert C. Stillman, MA, RN, CPHIMS, FHIMSS, Director, Clinical Research Informatics, The Ohio State University, The James Comprehensive Cancer Center
Robert (Robb) Stillman is the current Director of Clinical Research Informatics at The James Comprehensive Cancer Center at The Ohio State University. He provides strategic leadership for clinical research informatics and advises senior leaders on information technology initiatives and their impact on clinical, research, operational and strategic goals. With 28 years of experience in healthcare, Robb has held clinical roles caring for cancer patients in various settings, including inpatient and ambulatory care, emergency and critical care.
He has also held leadership positions in clinical operations and informatics. Robb is a HIMSS Fellow and chairs the Global Education Health Committee. Additionally, he is an Adjunct Faculty member at the Capital University School of Nursing where he delivers lectures to graduate-level nursing students on healthcare technology, health informatics, quality & safety and evidence-based practice. Robb is a United States Army Nurse Corps veteran and holds a Bachelor of Nursing degree from Arkansas State University and a Master’s degree in healthcare economics from Eastern Michigan University.
(Moderator) Jesica Freeman, Senior Vice President, Product Management, Deep 6 AI
Jesica Freeman is the Senior Vice President of Product Management at Deep 6 AI. Her role involves aligning with healthcare organizations and life sciences companies on developing innovative next-gen AI products that enhance patient matching to clinical trials, incorporating patient diversity, peer-to-peer collaboration and patient engagement. Jesica has been launching innovative products for over 25 years to improve patient lives. Prior to joining Deep 6 AI, Jesica was the Senior Vice President of Product Management and Marketing at TriNetX where she led multiple teams focused on building global real-world data and analytics ecosystems for healthcare and life sciences.
Under her leadership LINKED (EMR+Closed Claims+Mortality), DiversityLens, Bring Your Own Model, Follow the Patient, Oncology Module and LUCID – Trusted Research Environment products launched. Additionally, she spent 15+ years launching novel products and services for providers, patients and payers at Cardinal Health Specialty Solutions, Navigating Cancer, MediMedia Health and GlaxoSmithKline. She recently had a publication accepted for ASCO 2023. Jesica holds a Bachelor of Science in computer information systems from Drexel University.
Who Should Attend?
This webinar will appeal to clinical researchers at pharmaceutical, biotech and medical device companies, and healthcare organizations, including:
- Data and analytics
- Clinical operations
- Patient recruitment
- Site engagement
What You Will Learn
Attendees will gain insights into:
- How to improve protocol design and feasibility to avoid downstream challenges at the site
- How sites determine enrollment after getting a list of AI-matched patients
- How sites are managing AI technologies and upskilling clinical research coordinators (CRCs) to improve recruitment
Deep 6 AI
Deep 6 AI is the leading precision research platform, enabling healthcare organizations and life sciences companies to improve study design, accelerate recruitment, and generate real-world evidence with unprecedented speed and precision. Its AI-powered software mines structured and unstructured electronic medical record data to precisely match patients to clinical trials in real time across its ecosystem of 1K+ research sites. Visit deep6.ai to learn more.