In this free webinar, learn about 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. The featured speakers will discuss how technology can change workflows to reduce the burden and cost of identifying patients for trials, making research faster and more efficient.
TORONTO, Sept. 19, 2022 /PRNewswire-PRWeb/ -- 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.
Join Rachel Heiss, VP of Operations, Deep 6 AI; and Mary Veazie, Principal Clinical Research Consulting & Education Services, LLC, for the live webinar on Friday, October 7, 2022, at 12pm EDT (5pm BST/UK).
For more information, or to register for this event, visit Leveraging AI to Improve the Financial, Operational and Scientific ROI of Clinical Research.
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