International Journal of
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Research Article Volume 10 Issue 2
Using AI and Mind Genomics to simulate and understand what a patient may be thinking when visiting a general practitioner in a new city
Dipak Paul, David Stevens, Sharon Wingert, Howard Moskowitz
Received: February 15, 2026 | Published: March 5, 2026
Citation: Paul D, Stevens D, Wingert S, et al. Using AI and Mind Genomic to simulate and understand what a patient may be thinking when visiting a general practitioner in a new city. Int J Fam Commun Med. 2026;10(2):53-59. DOI: 10.15406/ijfcm.2026.10.00412
Abstract
Relocating to a new city disrupts the psychological, social, and logistical structures that normally support a patient’s sense of stability. When individuals attend their first general practitioner (GP) visit in this unfamiliar environment, they bring heightened uncertainty, reduced social buffering, and increased sensitivity to clinical cues. Early clinical encounters shape trust, adherence, and long‑term engagement with healthcare systems, making the first visit disproportionately influential. Artificial intelligence (AI) and Mind Genomics offer complementary tools for understanding this moment: AI simulates internal monologues and interpretive frames, while Mind Genomics models the microelements that may drive reassurance or anxiety. This study presents a simulation‑based conceptual framework rather than an empirical respondent‑level analysis. By integrating both approaches, the paper maps the cognitive and emotional landscape of the first visit experience and offers exploratory insights to inform future empirical validation and communication strategies.
Keywords: AI simulation, Mind Genomics, patient communication, general practitioner, healthcare relocation, reassurance modeling, clinical interaction
©2026 Paul, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.