Talking to the Diabesity Patients upon Admission to the Ward: How Mind Genomics Plus AI may Inform the Nurse and Improve the Patient’s Experience

The paper shows how artificial intelligence can be combined with Mind Genomics thinking to synthesize mind-sets in an effort to teach nurses about the way patients think and feel about sensitive topics. We show this approach through a demonstration of mind types synthesized for diabesity (diabetes + obesity). For a selected topic and a specified number of mind-sets, the user can instruct AI to name these mind-sets, and provide to the user extensive recommendation to give to a patient who belongs to this mind-set. The paper further shows what AI recommends to say to each of these mindsets to make them feel comfortable. The paper finishes with the vision of what could be accomplished if AI were to be incorporated as standard tool for nurses as a way to add a new dimension to understanding the ‘mind’ of the patient.