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ViSion for Patient EnrollmentVi into Clinical Trials

Last Updated: Dec 11, 2013

My team at the University of Texas MD Anderson Cancer Center has developed a multimedia structured reporting system, called ViSion, for diagnostic radiology and other image-based medical disciplines. ViSion's primary purpose is to generate a new style of radiology report for serial disease assessment, but one of its added benefits is the ability to perform data mining to match potential subjects with clinical trials. We welcome any feedback and interest from potential beta sites.

dvining's Image

My team at the University of Texas MD Anderson Cancer Center has developed a multimedia structured reporting system, called ViSion, for diagnostic radiology and other image-based medical disciplines. Attached is a recent article that gives an overview of the sytsem. ViSion operates by allowing a radiologist to capture key images of diagnostic findings (e.g., tumors and metastases), recording a radiologist's voice description of each finding, extracting metadata to tag the images with anatomical location and radiological observation/diagnosis, and assembling a multimedia structured report. Furthermore, ViSion provides a means to link image findings from serial examinations in order to automate disease assessment with graphical disease timelines. ViSion is analogous to being the Facebook of medicine.

Although ViSion's primary purpose is to generate a new style of patient-centric electronic medical record, but one of its added benefits is the ability to perform data mining to match potential subjects with clinical trials. A patient can initiate a search for clinical trials, and ViSion will match that subject's image findings with the inclusion and exclusion criteria from clinical trials that are registered in the system. A patient and/or his/her physician can initiate contact with a prinicipal investigator (PI) for consideration of enrollment into a particular trial. If the PI accepts the patient, then the PI may be granted electronic access to the patient's ViSion data for monitoring during the clinical trial process. ViSion can aggregate data from multiple patients to automate calculation of RECIST and other response criteria, as well as calcuate progression free survival (PFS) and waterfall plots.

We welcome any feedback and invite interest from potential beta sites for evaluation of the ViSion system.

Ellen Richmond's Image

Using the technology to connect patients with clinical trials is a teriffic idea. Are you saying that there is a registry of clinical trials within the system? Or will the ViSion system connect to existing clinical trial registries? Either way, your posting is a great use of AccrualNet's added benefit of connecting with other clinical trial professionals. Let us know how things progress.

dvining's Image

In our current implementation, we enter clinical trial inclusion/exclusion criteria into a format required by the ViSion system. ViSion will then automatically match a patient's discrete image findings and characteristics to those criteria. In the future, we will attempt to interface ViSion to existing registries, or perhaps our database will become a new form of registry. Of course, this concept assumes that our approach to radiology reporting will become a universal standard, but that is something that we hope to achieve. There is great power in transforming radiological reporting from chaotic narrative descriptions to structured data, not only for the recruitment of patients into clinical trials but also for the performance of those studies.

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