Three barriers to artificial intelligence adoption

Artificial intelligence (AI) will play a major role in healthcare digital transformation, according to new research. The study, "Human Amplification in the Enterprise," surveyed more than 1,000 business leaders from organizations of more than 1,000 employees, with $500 million or more annual revenue and from a range of sectors, all in the U.S. Survey respondents from the healthcare sector indicated that the following AI-supported activities will play a significant role in their transformations: Machine learning (77%), robotic automation (61%), institutionalization of enterprise knowledge using AI (59%), cognitive AI-led processes or tasks (50%) and automated predictive analytics (47%). The research also found that almost half of the respondents in healthcare indicate their organizations' priorities for automation initiatives is to automate processes to: "This suggests that many processes in the healthcare sector are still manual-driven and produce a high volume of errors as a result," says Sanjay Dalwani, vice president and head of hospital and healthcare at Infosys. The survey found that 73% of respondents want AI to process complete structured and unstructured data and to automate insights-led decisions. It also found that 72% want AI to provide human-like recommendations for automated customer support/advice.