The future of clinical research is automated. Innovation in digital intelligence has led to increasingly more complex artificial-Intelligence (AI) tools. These tools, when used in modern clinical research settings, lead to quicker, more productive studies for research teams and highly personalized, engaging experiences for participants. AI is changing the world of clinical research as we know it.
Incorporating automation in clinical research isn’t about replacing the humility involved in patient care, but working as an aid to enhance the capabilities of study teams and heighten the experience of participants. Digital intelligence technology could be the transformation necessary to solve some of the major obstacles facing clinical research including high costs, dropout rates, data management, and clinician burnout.
“By augmenting human performance, AI has the potential to markedly improve productivity, efficiency, workflow, accuracy, and speed, both for [physicians] and for patients … What I’m most excited about is using the future to bring back the past: to restore the care in healthcare.” — Eric Topal, MD, director, and founder of Scripps Research Translational Institute.
The adoption of artificial intelligence is projected to expand by at least 58% by the year 2023. The challenge of completing studies makes clinical research perhaps the most in need of automation. Only 20% of clinical studies continue through completion, but artificial intelligence could change that, allowing research sites the opportunity for massive success and expansion. More importantly, automation could transcend trials that are years in progress to groundbreaking, even life-saving, medical discovery.
The Five Major Benefits of Automation in Clinical Research
Clinical research is one of the most complex elements of the healthcare industry. Running studies all the way through completion is often expensive and laborious, many times too difficult to coordinate. Automation has the potential to solve many of the barriers faced by study teams.
- Automated assistants make it easier to recruit participants for clinical studies.
- Recruitment is often the most difficult component of a study; roughly 80% of studies don’t survive past enrollment deadlines. Automated assistants streamline the recruitment process by empowering participants to independently connect with studies they qualify for and complete pre-screen surveys on their own time, improving the enrollment experience for both study teams and participants.
- Automated assistants are cost-efficient.
- Digital assistants can assume tasks that would cost study teams up to $1600 per participant, driving down the overall cost of a clinical study significantly.
- Automation assistants enhance the quality of patient care.
- Less time spent on administrative tasks means greater opportunity to create supportive relationships with participants. Researchers will have more time to connect one-on-one with participants and foster long-term engagement.
- Automated assistants simplify data acquisition.
- Complex data collection and analytics can be managed by AI, giving researchers a more precise picture of their study’s data production, without having to personally filter through it.
- Automation leads to rewarding clinical study experiences for participants.
- The empowerment for participants to complete steps in their study journey at their own pace creates a more positive clinical study experience. The use of automation can reduce the oftentimes overwhelming nature of a study, supporting participants to make their process more comprehensive and manageable. Automation makes participation in clinical research a rewarding experience for all.
“Automation has the promise to transform Clinical Research from the inside out. Taking an automation first approach will help dramatically accelerate clinical research, ensure greater trial completion and provide a better participant experience.” -Raj Sharma, CEO of Root Health.
Want to invest in the future of clinical research? Contact Root today for a free enrollment assessment.
By Corinne Migliazza