The COVID-19 pandemic spurred extraordinary international cooperation in the quest for vaccinations and treatments, resulting in ground-breaking advancements in healthcare and software solutions. Conducting clinical studies has never been easy. They take a lot of time and effort and, 90% of the time, don’t result in the desired result.
Clinical trials have faced three persistent difficulties throughout the years: exorbitant prices, protracted medication development times, and problems with patient recruitment and retention. A trial site is more than two hours away from 70% of eligible participants’ homes. But, the world of clinical trials is changing, which are outfitted with intelligent technology and robotic process automation.
CTMS solutions now provide automated patient recruitment, using AI to choose the most appropriate patients and effectively engage them. This technique has produced encouraging outcomes, speeding up trial timeframes and cutting down on screening time. The Massachusetts Institute of Technology (MIT)’s and big data researchers created sophisticated algorithms that took into account more than 140 characteristics of the ongoing drug development studies to forecast their results and the chances of approval. For phase 2 and phase 3 approvals, the instruments achieved the predictive measures of 0,78 and 0,81, respectively.
Further integrated into CTMS, machine learning, and predictive modeling enable precise participant enrollment prediction and onboarding progress measurement, reducing expenses and risk exposure.
Siteless trials have become a practical solution to participant travel issues due to the availability of robust cloud-based CTMS. To ensure smooth communication between researchers and participants, these studies make use of a variety of technologies, including smartphone apps, remote patient monitoring, and telemedicine tools.
Future CTMS solutions are anticipated to prioritize patient recruitment and retention while keeping diversity and inclusion in mind in 2023 and beyond. Chatbots and other AI and ML-driven tools will point patients and doctors in the right direction of relevant trials, streamlining data management and ensuring real-time data capture. With decentralized applications run by several users in a safe healthcare blockchain environment, data ownership and security will also change.
The field of medical research is expected to undergo a revolution as a result of the development of clinical trial management software, which will also progress healthcare and improve patient outcomes.
