Abstract: AI is accelerating innovation in several industries and healthcare presents one of the biggest opportunities for new solutions. However, the healthcare domain also poses unique challenges. Data comes in myriad formats, is noisy and rarely labeled. Use cases may require mixing data-driven approaches with those that leverage expert domain knowledge. Few situations enable direct application of familiar machine learning methods but instead require inventive approaches of discriminant analysis and/or ensemble methods. There is also a high bar for evaluation, integration, and operationalizing of AI solutions in clinical settings. This workshop will begin with the business implications of using AI in healthcare including current trends and use cases. We will then demonstrate a number of AI applications in production today. The technical portion will provide an interactive walkthrough of applying AI to healthcare data with live coding. We’ll conclude by covering the requirements for operationalizing an AI solution including the technical architecture necessary for deploying in the wild.
General Idea of what to present:
AI trends in Healthcare
Specific use cases in healthcare
Demonstration of Wolters Kluwer AI applications
Demo of pathways
Demo/presentation of HL
Further discussion of NLP use cases and applied walk through with coding
Operationalizing AI – how to put this into production
Bio: John leads data science at Wolters Kluwer, where artificial intelligence is being used to fundamentally change approaches to healthcare. He has an extensive background in machine learning and holds a Ph.D. in computer science from Brandeis University. John started his career conducting research and development for the Department of Defense.
He applied that experience in the private sector by founding a visual analytics company called VisiTrend. VisiTrend was acquired by Carbon Black in 2015 where John served as Director of Data Science. Shortly thereafter, John joined athenahealth to investigate advanced analytics in healthcare. It was this experience that ignited a passion to directly address clinical decision support, which is now his focus at Wolters Kluwer. John has several peer reviewed publications and regularly participates in the Boston data science community.