Clinicians, Advance Practice Professionals, Allied Health Professionals, and Faculty School Administrators:
This is Your Organization's Roadmap to an AI-Enabled Future
With the advent of more advanced artificial intelligence (AI) technology, there is increasing interest for executives in different organizations to initiate efforts to adopt these AI tools. There is an increasing number of “AI Maturity” models for organizations, including a few such models for hospitals and healthcare organizations. These AI maturity models, however, are usually not well suited for healthcare systems and/or are excessively tedious to use. In addition, these AI maturity models often lack an objective measurement of the AI readiness of the healthcare organization, the very important first step of a healthcare organization’s AI journey.
We prefer a different strategy: an “AI Readiness” approach and we term an objective data-based assessment the “Medical Intelligence Quotient (MIQTM)” of the healthcare organization. AI readiness is the very first and most important step of a healthcare organization’s AI journey. Just like the human intelligence quotient (IQ), this is the beginning baseline of the AI effort. In short, AI readiness assessment in the form of MIQTM is where the healthcare organization is as it begins this AI journey. In addition, as an AI enterprise, we established a data science approach to this assessment process not only for each individual hospital but also for a small cohort of diverse healthcare organizations for comparative purposes. Lastly, this assessment score or MIQTM is designed by actively practicing clinicians who are leading the AI efforts at their hospitals rather than consulting technologists or administrators who are not actively engaged in AI efforts in hospitals or health systems.
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