Clinical research is a core component of academic medical centers’ identity and mission, but increasingly complex trial designs and staffing challenges make it difficult to deliver results while managing a budget. Highly targeted inclusion criteria require research teams to complete time-intensive chart reviews and use unreliable recruiting strategies, often to find that patients are not available or have already been enrolled on a competing trial. This leads to hidden costs borne by research sites for patient recruitment and ongoing study management, which often are not reimbursed by study sponsors. A single trial can cost $70,000 per year or more in unreimbursed expenses when recruitment isn’t moving forward.
By making full use of a wealth of unstructured patient data, which is typically hard to search through standard reporting processes, research sites can better manage their study portfolio by selecting the right trials and then finding patients faster.
Using artificial intelligence (AI) and natural language processing (NLP), sites increase the accuracy of feasibility checks up front, turning down studies where the patient population is too small. Better data means sites avoid failing or stalled trials and can put their resources to studies that will be able to gather sufficient data to push the research forward. Once a trial is open, sites can use precision-matching technology to quickly identify matching patients, speeding time to recruitment.
Join this webinar to understand the hidden costs of stalled trials and strategies to use technology to mitigate risk, increase efficiency and improve the return of investment (ROI) of clinical research operations.
Rachel Heiss, VP of Operations, Deep 6 AI
Rachel is currently the VP of Operations at Deep 6 AI. She has held strategic leadership positions across an array of industries, including at Bain & Company and the Primary Care Information Project at the NYC Health Department. She has an MBA in global business and business analytics from the NYU Stern School of Business.
Mary Veazie, Principal of Clinical Research Consulting & Education Services, LLC
Mary Veazie is a Certified Public Accountant with 35 years of financial management and auditing experience. Within these 35 years, she has 21 years of clinical research finance experience in the healthcare industry.
Currently, Ms. Veazie is the Manager/Principal of Clinical Research Consulting & Education Services, LLC, a company that provides clinical research consulting, auditing and education services to the life sciences industry. She served as the executive director of the clinical research finance office for a large academic medical center (AMC); an office she established to mitigate risk and build a compliant clinical research billing program which generates approximately $4.4 billion in gross patient revenue on an annual basis. During her tenure at the AMC, she managed and directed several business transformation projects relating to clinical research, clinical research billing and clinical operations.
Ms. Veazie is an author of two clinical research finance books, numerous training programs and is considered a content expert in her field. Her skill set includes financial management, auditing services and a full comprehension of the clinical research billing process and its impact on an organization’s clinical operations and revenue cycle.
Who Should Attend?
This webinar will appeal to:
- Research Finance Managers
- Research Operations
- Chief Research Officers
- Heads of Research
- Leaders in Clinical Trial Offices
- Grant Coordinators
What You Will Learn
- Shed light on the hidden costs of clinical trials, including coordinator time spent on chart reviews, developing patient recruitment queries in the electronic health record (EHR), responding to sponsor queries, study close out activities like locking the database, tracking down referrals and ongoing administrative expenses
- Understand how technology can change workflows to reduce the burden and cost of identifying patients for trials, making research faster and more efficient
Deep 6 AI
Deep 6 AI is the leader in precision research software, connecting all research stakeholders in an AI-powered, real-time, data-driven, collaborative ecosystem. Our Precision Matching software mines millions of patient records, including “unstructured” physician notes, to pin-point eligible study patients in real-time. Deep 6 eliminates months of manual data validation, to de-risk and accelerate clinical trials, because clinical trials should be a gatekeeper (accelerator), not a bottleneck to innovation.