Machine Learning and AI for Payer, Provider and Government Organizations
A technology and application overview of Machine Learning (ML) and Artificial Intelligence (AI) applications in healthcare analytics, showing three complete ML Apps on the Smart decisions ML & AI Platform from Edifecs. The presentation will help payers and providers understand the role and use cases of Machine Learning for Data Analytics and their applications to healthcare.
There is broad agreement in the industry and among research communities, that ML (in conjunction with AI) will significantly alter and improve healthcare. In this discussion, we will focus on three ML and AI use cases relevant to payers and providers from the point of view of four stakeholders:
To this end, we will introduce Machine Learning, its essential methods and algorithms, and the types of technology tools used. We will also discuss the relationships among ML, AI, statistics and traditional Business Intelligence (BI). Using select payer and provider use cases, we will discuss how a healthcare business use case is designed as a combination of datasets and algorithms as bridges to ML and AI, and how such algorithms can be implemented (in R) and used to enrich the analytics practice within healthcare.
Lessons to Be Learned:
Massachusetts Health Data Consortium
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For more information,please contact Arleen Colettiby email or at 781.419.7818
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