Subjective Decisions About Medicines in a Time of Financial Distress: How AI and Mind Genomics Thinking Help to Clarify the Issues
Year: 2024
Type: article
Abstract: The paper presents the results of a four-phase simulation of the response of ordinary people to the problems of affording the proper medicine in a time of financial hardship. Through AI (ChatGPT 3.5) and the emerging science of Mind Genomics, the paper generates a sense of the experience of financial hardship in a time of rising prices of drugs. Phase 1, the voice of the people, simulates interviews with ordinary people regarding their feelings and experiences. Phase 2, the town hall meeting, simulates the response of ordinary people to the presentation by drug company executives at a public meeting. Phase 3, the mind-set of pharmacists, presents the way pharmacists think about working with those customers who are facing financial hardships. Phase 4, questions and answers, shows how AI generates an instructional document about the multifaceted experience of individuals of lower income facing increasing cost of medicine. The four phases can be replicated and scaled across different aspects of medicine to provide a way by which to teach medical professionals about the inner experience of patients and customers.
Authors: Tactical Data Group, Stafford, VA, USA, Howard R Moskowitz, Tonya Anderson, Tactical Data Group, Stafford, VA, USA, Sharon Wingert, Tactical Data Group, Stafford, VA, USA, Stephen D Rappaport, Sunaina Saharan, Jana Bayad, Experience Transformation, Humana, San Diego, CA, USA
Institution: Government Medical College
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4404119791