Transforming Clinical Trials with AI

Artificial Intelligence (AI) is rewriting the narrative in different sectors, and most prominently in healthcare. The ever-evolving AI technology is revamping the healthcare industry in ways we never thought possible.

An article in MobiHealthNews highlights nine crucial areas in which AI is pioneering advancements in healthcare – medical imaging, surgeries, clinical trials, drug development, early diagnosis, remote patient care, fraud detection, and cancer diagnosis.

But how exactly can mpathic impact these areas, particularly in clinical trials?

mpathic’s mTrial utilizes innovative AI-powered quality assurance tools to standardize and bring consistency to patient care across clinical sites. By automating clinical trial processes, mTrial emphasizes fidelity and precision, enabling data-driven decisions that enhance outcomes.

Here’s how mTrial is making a difference:

• Enhancing Patient and Client Engagement and Minimizing Drop-Out Rates: mTrial enhances clinical trial recruitment by implementing sponsor-defined criteria to pre-screen study participants. This approach aids in selecting the most suitable candidates, which dramatically reduces recruitment time and drop-out rates. Additionally, this objective screening method makes it more likely that selected participants will remain engaged throughout the trial, thereby improving the overall success rate of clinical trials.

• Optimizing Decision-Making: By providing actionable insights at scale, mTrial supports data-driven decisions in clinical trials. It effectively navigates the complexities of trial management with valuable information on patient behavior and treatment effectiveness, leading to improved outcomes and enhanced trial management.

• Upholding Quality Assurance: mTrial maintains quality across multi-site trials through automated monitoring, upholding high performance standards and contributing to superior results overall. Using mTrial for quality assurance has proven to be not only efficient but also cost-effective, achieving 10x cost savings in a case study involving data quality monitoring during Phase I and Phase II clinical trials.

• Prioritizing Patient Safety: With a primary focus on patient safety, mTrial effectively mitigates incidental risks in clinical trials to promote the well-being of patients. By monitoring risk parameters, including misconduct and suicidality, mTrial provides real-time alerts to medical professionals, enabling them to safeguard patient health and take prompt action.

• Maintaining Fidelity: mTrial utilizes AI to conduct comprehensive fidelity analysis by reviewing 100% of sessions, achieving an accuracy rate seven times higher than human review. This capability not only streamlines and monitors clinical trials but also significantly enhances study design, execution, and management. The system ensures strict adherence to protocols and regulatory requirements, enhancing data quality and site consistency through detailed reviews at both the clinical and site levels. 

mpathic’s presence in the healthcare sector signals the transformative power of AI technology. With tools like mTrial, which maintain the highest standards of quality and safety at scale, and a strong focus on healthcare and life science therapeutics, mpathic demonstrates how advanced AI development can usher in more efficient, safer, and personalized healthcare standards. This approach to technological innovation in healthcare is not only enhancing existing practices but also sparking a new wave of advancements in medicine.

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