
Learn how to become an AI-first health system, exploring business value, ROI, operating models, maturity, and targeted use cases while building executive trust.
Define how an AI-first hospital embeds AI into clinical, operational, and administrative workflows to augment care, rely on data and AI infrastructure, and avoid bolt-on solutions.
Explore the ai capability maturity model guiding hospitals from experimental ad hoc ai to enterprise wide and autonomous ai, with governance, data platforms, and continuous learning.
Explore ai's value and roi in health care, contrasting hard and soft savings like pajama time, with use cases like clinical decision support, prior auth, patient engagement, and capacity management.
Prioritize healthcare artificial intelligence by using a standard two-by-two matrix that weighs clinical impact, financial value, and implementation feasibility across use cases like sepsis detection.
Learn from a consulting point of view, when a trusted vendor partner is asked and he has to answer an hospital executive's question - I want to build an AI-First organization? How do i go about doing it? This class is output. This and mode detailed version of this will be presented by the Partner to the hospital CEO or business line leaders. Such know how is critical for all of us to upskill ourselves, moreso if we are students or entry level folks, as AI is already doing our job, so what more we should do, how we create additional value to be relevant in future. The class while focuses on hospital, still the construct of this is very similar in any and all industry. It is imperative for technical folks also to understand how they will help themselves better by learning more functional and business know how and that too very quickly. There is no other way to survive in the AI and Post AI world. IT will get done more and more by AI Agents, we need to have better understanding of business, complex problem solving, relationship building and be relevant. If you have questions, please reach out. All the best