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Intelligent Automation for Clinical Trials

Kenneth Edwards

Senior Manager, Life Sciences Consulting, EPAM Continuum

Shreya Desai

Manager, Business Consulting, EPAM Continuum

Julie Gorenstein

Manager, Life Sciences Consulting, EPAM Continuum
White Paper
  • Life Sciences

Clinical trials fail for a variety of reasons, including the inability to recruit enough participants, mid-trial patient dropout, severe patient side effects and poor data collection methods resulting in missing established endpoints. These challenges offer an opportunity ripe for intelligent automation to provide practical solutions to address the clinical trials process.

This white paper explores:

  • How machine learning and robotic process automation (RPA) can help providers identify the most effective clinical trials for patients
  • The ways in which RPA and APIs can be leveraged to address patient enrollment and clinical documentation challenges
  • How to use predictive analytics in adaptive design for clinical trials
  • The ability for AI-enabled wearable devices to help patients with medication adherence

Download your copy of the white paper today to learn how the pharmaceutical industry can turn to technological solutions to save money and streamline the clinical trial process.

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