AI in healthcare
Zuleika Nayeem Khan of DOT
 Artificial Intelligence (AI) is commonly known for its ability to have machines perform tasks that are associated with the human mind – like problem solving.  However, what’s less understood is how AI is being used within specific industries, such as healthcare.  Business Insider Intelligence reported that spending on AI in healthcare is projected to grow at an annualized 48% between 2017 and 2023.  AI can improve healthcare by fostering preventative medicine and new drug discovery. For instance, IBM Watson’s ability to pinpoint treatments for cancer patients, and Google Cloud’s Healthcare app that makes it easier for health organizations to collect, store, and access data.  Business Insider Intelligence reported that researchers at the University of North Carolina Lineberger Comprehensive Cancer Center used IBM Watson’s Genomic product to identify specific treatments for over 1,000 patients.  The product performed big data analysis to determine treatment options for people with tumors who were showing genetic abnormalities.
 Integrating AI into the healthcare ecosystem allows for a multitude of benefits, including automating tasks and analyzing big patient data sets to deliver better healthcare faster, and at a lower cost. According to Business Insider Intelligence, 30% of healthcare costs are associated with administrative tasks. AI can automate some of these tasks, like pre-authorizing insurance, following-up on unpaid bills, and maintaining records, to ease the workload of healthcare professionals and ultimately save them money. AI has the ability to analyze big data sets – pulling together patient insights and leading to predictive analysis. Quickly obtaining patient insights helps the healthcare ecosystem discover key areas of patient care that require improvement.