http://semanticbits.com/semanticbits/wp-content/themes/salient/css/fonts/svg/start.svg

Initiation

We have designed and built systems for every aspect of clinical research, including those that standardize the collection and management of information for cancer-related clinical trials. An example of this is CTR, an application which captures data for all key aspects of interventional and non-interventional trials including study design, sponsors, responsible parties, grants, trial status, and more. Currently, CTRP contains more than 12,000 cancer trials submitted by more than 200 cancer centers and treatment sites across the US.

Accrual and Registration

Among the systems we’ve built are those that register, randomize and stratify patients to clinical trials. Being able to complete such tasks automatically and with ease helps ensure the success of the trial right from its very beginning. Beyond that, our team is also capable of building advanced dashboard features, smart alerts and reminders to optimize the process of registering trials. This ultimately results in higher compliance, an important goal for all trials being conducted today.

http://semanticbits.com/semanticbits/wp-content/themes/salient/css/fonts/svg/basic_elaboration_browser_check.svg

http://semanticbits.com/semanticbits/wp-content/themes/salient/css/fonts/svg/basic_elaboration_browser_star.svg

Conduct

The electronic Patient Reported Outcomes platforms that we’ve designed and created improve both the quality and efficiency of developing and administering the symptom questionnaires that are used for patient reporting in clinical trials. Because our applications are so intuitive, patients are empowered to accurately self-report side-effects using web, mobile and IVRS interfaces. Thousands of patients in clinical trials are already successfully using our systems to keep track of and capture their symptoms and outcomes.

Monitoring

By building systems that support surveillance of treatment side effects and toxicities on clinical trials, our team is also improving the managing, monitoring and analysis of the symptom questionnaires that are used for patient reporting. caAERS, a system we built with a clinical decision support rules engine that automated the process of determining if an AE needed to be reported, is currently being used by hundreds of organizations across the US, including the NCI.

http://semanticbits.com/semanticbits/wp-content/themes/salient/css/fonts/svg/ecommerce_graph3.svg

http://semanticbits.com/semanticbits/wp-content/themes/salient/css/fonts/svg/basic_todolist_pen.svg

Reporting

Our team is committed to working with your organization to quickly assess the efficacy of clinical trials and make decisions on their overall direction. Our systems provide ways to breakdown clinical data and provide both summary-level and detailed reports that consider a number of factors, along with rules governed by various agencies and review boards. Our systems also include an automated safety signaling feature that alerts stakeholders when the frequency and/or severity of an adverse event occurrence exceeds a statistically significant threshold.