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Hassan Tetteh, Health Mission Chief for Warfighter Health at the Joint Artificial Intelligence Center (JAIC), Department of Defense (DoD)
Abstract:
An Artificial Intelligence (AI) revolution is not coming; the revolution is already here. AI is fundamentally changing the landscape of healthcare delivery and many leaders are not prepared. A new paradigm of health care delivery is on the horizon. Like electricity in the past, AI represents the general-purpose technology (GPT) of our era. With inherent challenges, threats, and opportunities ahead, ‘future-oriented’ strategies should be implemented by healthcare and business leaders that leverage AI to create better, stronger, and more relevant healthcare organizations to care for patients and promote health and wellness in the 21st century and beyond.
Like many other industries, healthcare is undergoing significant change. Five key drivers impact the rapid advance in Artificial Intelligence (AI) technology as it relates to the potential application in healthcare. Computer science’s early limitations in computing power, data sources, and expertise are now mitigated. Today, the difference is the convergence of factors that make the potential for AI more advanced now than in the past.
Five key drivers impact the rapid advance in AI technology:
1. Exponential growth in computer power over the past decades
2. Availability of large datasets for machine learning training
3. Machine learning technique improvement
4. Increased commercial and government investment in AI research
5. Use of electronic health records and digital health information
Collectively, the five drivers of AI technology coupled with the abundance of data stored on patients may help to understand disease at a fundamentally better level to facilitate treatment and therapeutics to help patients more effectively and efficiently. Three learning objectives are highlighted:
Learning Objective 1: Define AI technology platforms, recognize the lexicon of AI terminology, and select the specific AI technologies for practical application within a healthcare organization.
Learning Objective 2: Recognize the risk of not leveraging AI, identify the correct approach to AI, and adopt the essential steps required to achieve transformational change using AI.
Learning Objective 3: Understand the “Do No Harm” principles for responsible AI and machine learning application in healthcare.
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