Understanding The Loss of Trust in Doctors through Artificial Intelligence Powered by Mind Genomics Thinking
Howard R Moskowitz1*, Stephen D Rappaport2, Sunaina Saharan3, Sharon Wingert4, Tonya Anderson4, Taylor Mulvey5 and Martin Mulvey1
1Cognitive Behavioral Insight, LLC, USA
2Stephen D. Rappaport Consulting LLC, USA
3Government Medical College, India
4Tactical Data Group, USA
5St. Thomas More School, USA
*Corresponding Author: Howard R. Moskowitz, Cognitive Behavioral Insight, LLC, Albany, NY, USA.
Published: June 27, 2024
DOI: 10.55162/MCMS.07.222
Abstract  
During the last decades, patient faith in physicians has declined. Doctors are distrusted for several reasons, including incorrect conclusions that had fatal consequences for patients. Doctors may have prescribed inappropriate medications which produced negative effects or didn't benefit patients. Medical blunders have sometimes occurred due to carelessness or neglecting information. Patients feel abandoned and don't know what their doctors are doing. Customers are even less trusting of the medical industry due to excessive pricing and lack of transparency. All of these things have made people more skeptical of the medical system, which has caused the doctor-patient relationship to break down. Doctors must address these challenges and regain patient trust to improve healthcare.
Keywords: doctor-patient relationship; large language model; Mind Genomics; trust in physicians
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