Artificial Intelligence Adoption in Healthcare - - DSA ADS Course 2024
DSA ADS Course 2024
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world scenarios.
Discuss current private and public sector healthcare paradigms, structures and processes, and how established norms (good and bad) guide how emerging AI technology is used in practice.
Discuss successes and failures in past attempts at adopting AI in healthcare. Review specific cases and analyze potential causes.
Review current paradigms and suggest a new paradigm to guide future efforts to build AI capabilities, processes and trained professionals to promote the safe, effective, and responsible adoption of emerging AI technologies in healthcare.
Review "People-Technology-Processes" paradigm in healthcare domain. Review current paradigm for medical training in professional medical schools and other healthcare related training programs.
Suggest new paradigm for medical training in professional medical schools and other healthcare related training programs.
Introduce a new healthcare paradigm including organizational/institutional governance that defines requirements for adequate organizational governance of AI systems in healthcare settings and support health system leaders to make more informed decisions around AI adoption.
Identify how the standards for the AI adoption in healthcare may be designed to be used easily and efficiently.
Map out the precise decision points involved in the practical institutional adoption of AI technology within specific health systems.
How to architect and execute new healthcare processes adopting AI and suggest new roles for healthcare professionals.
How to design and conduct usability testing sessions with healthcare and AI professionals. Suggest framework for usability analysis to develope prototypes structured around mock key decision points that align with how organizational leaders approach technology adoption.
Identify key decision points and comprehensive procedures throughout the AI adoption lifecycle.
How to conduct detailed qualitative analyses of governance structures and processes involved in AI adoption by health systems.
