AI in Healthcare

CHAPTER 8The Future of Healthcare AI

“The future depends on what you do today.”

—Mahatma Gandhi

As you strategize and deploy AI operations (AIOps) into your healthcare setting, all of the work you did in planning, strategizing, designing, and preparing should have provided you with a great product or solution that has helped you to gain valuable insight into the data you collect so you can trend, analyze, and look into predictive analytics. Workflow and automation should have provided you with a more efficient operational platform with some self-healing capabilities and event or fault handling that increased your ability to keep your technology up and running when the clinicians need it most. The future of healthcare AI, ML, and AIOps rests solely on what you do next in an ever-changing and evolving field of data capture, storage, analysis, and manipulation. Today you begin to look at the new technologies, workflows, techniques, solutions, services, and innovations that you can leverage based on big data and collected analytics. Today you can begin dreaming about tomorrow.

This chapter discusses the use of artificial intelligence (AI), machine learning (ML), and healthcare operations in an IT setting that leverages not only AIOps but other technologies and solutions as well. As we will see, much of how healthcare is delivered is constantly evolving and dynamically (and sometimes radically) in a state of flux and change. When the worldwide coronavirus (COVID-19) pandemic struck, ...