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 Mulvey^1
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

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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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