Impact of Artificial Intelligence on the Healthcare Industry

Abstract

The healthcare industry is a large part of the United States GDP and is ripe to be disrupted. The industry is multifaceted and artificial intelligence/machine learning will impact every aspect of healthcare: Treatment, diagnosis, administration and research. Current research argues the position that artificial intelligence and machine learning will overwhelmingly affect the health care industry and the way it will engage with its stakeholders. Materials and Methods: Each of these areas is further subdivided into subcategories. Each of these subcategories was analyzed for how artificial intelligence/machine learning will transform them and increase efficiency and productivity, thus reducing the overall cost of care while improving quality. Also identified are some of the roadblocks the adoption of artificial intelligence/machine learning in the healthcare industry will face. Results: While it is apparent that there will be significant impact of AI in health care, one of the most important roadblocks for early adoption of artificial intelligence will be trust in the system by patients and other relevant stake holders. Conclusion: Thus, developing trusted AI will become an ever- increasing requirement for future applications of artificial intelligence/machine learning in the healthcare industry and trust should be built into the system by design rather than as an afterthought.

Keywords: AI, Health care, Cost, Diagnosis, machine learning