Artificial Intelligence and the Future of Clinical Practice
Artificial Intelligence (AI) is a fast-emerging area of IT in Healthcare. Increasingly massive data collections are being used for both clinical improvement and population health advances. The majority of clinicians have only a passing knowledge of the implications of this group of technologies beyond the buzz words. This program will provide a primer on AI and provide detailed examples of current uses as well as a projection for implications 5 years out.
- Describe in some detail the variety of technologies that currently make up AI.
- Identify examples of clinical implementations of AI to improve patient care.
- Relate why IBM/Watson did not achieve the desired results in it's its MD Anderson implementation.
- Name the major strategic recommendations set forth in the JASON AI Report.
Kjell Carlsson, PhD
Kjell advises enterprises on how to drive business outcomes with artificial intelligence (AI) and data science. He does consulting, workshops, keynote speeches (and research) on topics ranging from augmented intelligence, automated machine learning, computer vision, predictive analytics and machine learning solutions, AI APIs, speech analytics, AI-enabled business intelligence, AI in healthcare, and best practice for scaling data science. He has a unique background spanning strategy, management consulting, and data science, and received his PhD in Business Economics from HBS.
Miriam Huntley, PhD
Computational biologist with expertise in genomics and machine learning. After MIT Physics undergrad, earned Harvard Applied Math PhD developing theory and computational methods for analyzing biological systems and large genomic datasets.
CME Credit: 2.00 AMA PRA Category 1 Credits™
The Massachusetts Medical Society is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
AMA Credit Designation Statement
The Massachusetts Medical Society designates this enduring material for a maximum of 2.00 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
National Commission on Certification of Physicians Assistant (NCCPA)
Physician Assistants may claim a maximum of 2.00 Category 1 credits for completing this activity. NCCPA accepts AMA PRA Category 1 Credit™ from organizations accredited by ACCME or a recognized state medical society.
A score of 70% or higher is required to receive AMA PRA Category 1 Credit™.
- 2.00 AMA PRA Category 1 Credit™
This course is offered through Massachusetts Medical Society.
To take this course you will be redirected to Massachusetts Medical Society's website. You must login or create an account with Massachusetts Medical Society in order to complete this activity.
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