HRX 2024 AbstracX Library-Integration of the Transtheoretical Model to Create Tailored Behavioral Regimens with Generative AI

Integration of the Transtheoretical Model to Create Tailored Behavioral Regimens with Generative AI

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The document discusses a study on integrating the Transtheoretical Model (TTM) with generative AI to influence patient behavior in the management of atrial fibrillation (AF). The co-authors, Isha Tripuraneni and Samer Salman, along with other contributors, have developed a method using TTM principles and AI-generated behavioral nudges to influence patient behavior positively.<br /><br />The TTM involves several stages and processes to support behavioral change, including consciousness raising, dramatic relief, and self-liberation. This model is applied to coach patients through personalized interventions designed to modify risk behaviors, particularly focusing on habits like smoking that increase the risk of developing AF.<br /><br />The study uses a chatbot system that sorts patients based on their risk behaviors and their current stage within the TTM. The chatbot then delivers tailored behavioral prompts or "nudges," which guide patients through the process of making positive lifestyle changes. Examples of these nudges include prompts designed to raise awareness about the risks associated with smoking and collaborative planning for smoking cessation.<br /><br />This approach aims to offer personalized patient management through AI-driven solutions, which can establish behavioral archetypes to further refine and improve treatment strategies. The authors are currently seeking validation partners and patients to enroll in studies that support and experiment with this chatbot system, indicating this research is in a transitional phase towards practical application.<br /><br />The document highlights the potential of combining AI with behavioral science to enhance treatment personalization and effectiveness in managing conditions like atrial fibrillation by focusing on modifiable lifestyle factors and supporting sustained lifestyle changes.

Keywords

Transtheoretical Model

generative AI

patient behavior

atrial fibrillation

behavioral nudges

personalized interventions

smoking cessation

chatbot system

lifestyle changes

behavioral science