Clinical Trial Matching Benefits Using Cognitive Computing
February 21, 2017 — 02:30PM EST - 03:30PM EST
Orange County Convention Center
Froedtert Health's 2020 goals accelerate translation of research discoveries into new and improved treatments. Clinical trial enrollment is a key part of this effort. Froedtert initiated a project to implement IBM Watson cognitive computing technology to automate and improve clinical trial matching speed and enrollment efficiency. The clinical trials were a subset of those available on Clinicaltrials.gov in breast, lung, colorectal, and GI cancer categories. The project study includes several protocols to measure realized benefits of the implemented system. Initially, time and motion studies were done to determine baseline times for manually matching a patient to a study, and number of patients enrolled over time. Then, the Watson system was applied to the matching process and time and enrollment figures were compared to baselines. This talk outlines the architecture of the system, study design, and benefit results for time savings per patient and enrollment improvement after the switch.
Recognize the capabilities and benefits of cognitive computing applied to clinical trial matching
Describe the Froedtert Health clinical trial matching study design and the time and efficiency results obtained
Identify how this technology could be applied to trial matching in other clinical areas in the future