Five Ways to Enhance Clinical Operational Efficiencies Utilizing AI

Artificial intelligence and machine learning tools are transforming how clinical development occurs by delivering significant time and cost efficiencies while providing better and faster insights to inform decision-making. Advances in analytics technology coupled with the availability and integration of vast amounts of healthcare data have already helped automate processes and improve data quality across dozens of clinical development efforts. As these tools evolve, new opportunities will continue to emerge that drive further benefits to the clinical research landscape. Applications of AI and ML in healthcare are expected to grow to nearly $8 billion by 2022, up from $667.1 million in 2016, and almost half of global life science professionals say they are either using or interested in using AI in their research.[1] Despite this growth, the industry continues to struggle with what these technologies are and how they work.