Over his 26 years in the industry, Steve Powell has witnessed and driven considerable changes in how clinical trials deploy technology and interact with patients. During his time at leading global CROs, Powell went from ushering in the first wave of eClinical technologies to reimagining data collection for the smartphone era. Now, Powell has moved deeper into data capture and patient engagement by taking on a new role at Exco InTouch.
The advent of continuous data monitoring using wearable technology and other connectable medical devices has expanded the types of data sponsors can collect between site visits. This has opened the door to new insights into the lives of patients and their reactions to drugs, but it has also created technical challenges.
Many of the innovations applied to healthcare in recent years, such as wearables and other mobile devices, have served to collect precisely this kind of information. How far does a given patient walk every day? How much sleep does she get every night? Devices that answer questions like these are expanding the concept of precision medicine to include more than just genetic data.
mSource is Medrio's mobile eSource application that includes mPRO, mCapture, and mConsent. All products are native applications and are designed for use in early phase and Phase I research.
It’s no secret that the adoption of new technologies in support of clinical trials moves at a pace considerably slower than other industries. Disruptive technologies in other sectors can change business models almost overnight.
The industry has stepped up with various cloud-based solutions such as clinical trial management systems (CTMS), electronic data capture (EDC), and the electronic trial master file (eTMF)—all quantum leaps—yet lengthy cycle times, lasting nearly seven years,1 are still commonplace. A key reason is that they do not address the one part of a study’s lifecycle that strongly impacts the overall timeline of clinical trial conduct—study startup (SSU). As more stakeholders acknowledge that better SSU processes are essential for shorter clinical trial timelines, SSU has become the last major frontier in clinical trial automation, the final holdout where spreadsheet methodology still looms large, and where innovation is making a resounding difference.