is being presented by Kent Tholke, Senior Vice President, Scientific and Medical Affairs, with PRA International and airs on Thursday, July 22nd, 2010. For more details or to register, please visit our site at www.fxconferences.com
The key to successful site and patient recruitment is having the ability to mine electronic health records as well as pharmacy, claims, laboratory and historical CRO recruitment data using proprietary search algorithms. Current research indicates that more than 25% of clinical trial sites are unproductive. Relying on a data-driven decision making process will lead to far fewer non-productive clinical trial sites, shorter development timelines, greater patient recruitment and ultimately lower drug development costs.
With more clinical trials being conducted — and with the majority of them operating under delayed timelines — patient access has become the critical piece to solving what has become a very inefficient and costly puzzle known as drug development. While the process of drug development over the last few decades has been heavily driven by scientific methodology, the process by which clinical trials are conducted has consistently lacked the same rigor. Achieving successful patient access and meeting clinical trial timelines will require CROs to use more accurate processes for site selection and targeted patient enrollment.
Although having access to relevant data is important to enhancing site selection and patient recruitment, sponsors and CROs must also mine this data with algorithms that have been established to match planned patient populations and inclusion/exclusion criteria. When sponsors and CROs apply detailed search algorithms across multiple patient data platforms, they are able to find and target sites with the appropriate patient populations and confirm that the planned trial design matches customary care practices. This confirmation is the first step to both determining a trial’s feasibility and mining patient data. In addition, sponsor companies can use data-mining algorithms to determine if medical professionals are treating the target patient population as expected and to locate the patients by physician practice.
This audio conference explores the power of mining EHR/EMR, lab, pharmacy, claims and historical CRO recruitment data. It will also review how using data-driven decision making to validate trial designs and patient and site selection is a key to successful drug development.
