An Introduction to AI in Health Care: Perspectives on Data and Uses
3 Module Course
Module 1: Introduction to Artificial Intelligence in Health Care
8 sessions (12 hours)
Weekly, January 28 - March 18, 2021
Module 2: Data and Its Regulatory and Governance Implications
8 sessions (12 hours)
Weekly, April 8 - May 27, 2021
Module 3: Advanced Topics and Real World Examples
7 sessions (10.5 hours)
June 2, 7, 9, 14, 16, 21 and 23, 2021
Time
All sessions are Online 12:00 - 1:30 PM ET
Recordings are available for absent students
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Instructor
Mark W. Kohler, CPA, CA, ICD.D: Chairman and CEO, Exelerate Capital Corp.; Chairman at Privacy Horizon Inc.; Chairman, CloudMD Software & Services Inc; Adjunct Professor, York University; NIHI Instructor
Artificial Intelligence (AI) is rapidly entering health care and is posed to make a huge impact on healthcare delivery and patient care. This course will help participants understand AI, its potential for business, and the opportunities for its implementation in health care. Participants completing this course will gain a comprehensive understanding of the main areas of AI within the context of health care and the data management supply chain systems found in health care. Throughout the course, we will review real-world examples, along with articles and perspectives of thought leaders. Many of the weekly sessions will include a dedicated discussion of the “applications” and potential “implications” for the use of AI in health care covered in that session’s topics.
This course will:
- Explore related fields, including the use of robotic technologies, clinical decision support, electronic medical records, and more.
- Cover various ethical issues raised from the use of AI in the future, and other important considerations such as: regulations, data privacy, cybersecurity and data protection, and AI in contrast to public health policy aims.
- Discuss the application of new AI technologies to various stakeholders’ views of value, including clinicians, patients, vendors, payers, and even the investment community and capital markets.
- Use real-world examples, exemplar articles and perspectives of experts and thought leaders.
- Include discussions of the “applications” and potential “implications” for the use of AI in health care in many of the sessions.
Intended Audience:
- Healthcare professions and technology leader
- Chief executive officers
- Chief information officers
- Chief technology officers
- Technologies managers
- Risk managers involved in data management
- Data Scientists
- Business Intelligence Analysts
- Systems / Business Analysts
- Database Administrators
- Technical architects and developers who design and build cloud, mobile, social media and IOT solutions, and other analytics solutions
- Anyone interested in artificial intelligence and its applications throughout the public and private sector
By successfully completing Modules 1, 2 and 3 you will be awarded a NIHI - McMaster Artificial Intelligence Certificate of Completion. A Certificate of Completion is a non-academic certificate acknowledging that the recipient has completed a minimum of 30 hours of education and has successfully completed the Opening and Closing Questionnaires that assesses the individual's learning, and any associated homework or assignments.
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