The healthcare industry is evolving with the exponential increase in the exploration of artificial intelligence (AI). These implications go far beyond technology, points out the Everest Group, with the majority of AI decisions impacting everything from customer experience to cost to business processes. While there are certainly huge cost impacts (think: reduced need for customer care executives and reduced cost of population health management) as well as significant business impacts (think: increased healthcare savings and enhanced patient experience), the operational impact is perhaps the most vital because it personalizes patient care. To that end, physicians can make more accurate diagnoses and more efficiently engage with patients on a daily basis. This is where today's blog will focus: preventing physician burnout in the healthcare industry with the help of AI.

The promise of artificial intelligence (AI) and machine learning to improve care and outcomes, lower the cost of care, and increase patient and provider satisfaction is fast-tracking these disruptive technologies for significant growth in healthcare in the immediate future. In a recent Healthcare IT News/HIMSS Analytics survey, about 35% of healthcare organizations plan to leverage artificial intelligence within two years – and more than 50% intend to do so within five years.* These technologies can categorize and analyze huge amounts of both structured and unstructured data to glean clinical insights to improve individual and population health through better diagnoses, disease pattern identification and treatment methods. They can improve infrastructure, workflows and data management, and other tasks and processes – increasing productivity, consistency and quality, and reducing costs and errors. They can improve the provider-patient experience, allowing physicians to spend more time with patients by automating time-intensive tasks like medical image analyzation, data entry, and procedure and condition monitoring.