The acquisition, terms of which were not disclosed, is expected to be completed in April 2017.
“Informed consent is a critical component to any clinical trial, as it provides patients with the right information to allow for an educated decision about participating in an investigative study, Kara Dennis, Medidata's Managing Director of Mobile Health (mHealth), told Outsourcing-Pharma.com.
Additionally, Mytrus’ Enroll enables trial monitors to track consents remotely, which it says reduces on-site monitoring activity.
“Adding eConsent to Medidata Patient Cloud is a natural next step in the continued evolution of our mobile health offering, further improving the patient experience as well as streamlining the trial monitoring process,” Dennis explained.
“Medidata’s comprehensive mHealth solution enables a modern trial experience by allowing sponsors, sites and patients to make use of best-in-class technology to support trial operations and participation.”
According to Dennis, Enroll can be provided as an iOS-based native solution used by sites or as a web-based solution accessible to patients or site staff.
The technology will be integrated with the Medidata platform and joins AppConnect, SensorLink, and ePRO as the fourth module in Medidata Patient Cloud.
Medidata’s focus is to drive organic growth through innovation, Dennis said. “In 2016, we reinvested over 24% of revenue into R&D to enhance and expand our industry-leading platform,” she added.
In regards to M&A, Dennis said the company’s strategy is to supplement organic growth with strategic tuck-in deals that either enhance existing capabilities or accelerate the development of new solutions on the platform.
“We have been very disciplined with this approach as those have seen with our acquisition of Patient Profiles (2014), Intelemage (2016), and, most recently, Chita and Mytrus (2017),” she added.
“We have a strong balance sheet and can continue to invest strategically when we identify compelling opportunities to enhance the value of our platform in areas such as data analytics, machine learning and mobile health, for example.”