WORLD JOURNAL OF ADVANCE
HEALTHCARE RESEARCH

( An ISO 9001:2015 Certified International Journal )

An International Peer Review Journal for Medical Science and Pharma Professionals

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

World Journal of Advance Healthcare Research (WJAHR) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , SOCOLAR, China , Research Bible, Fuchu, Tokyo. JAPAN , Cosmos Impact Factor , Scientific Indexing Services (SIS) , UDLedge Science Citation Index , International Impact Factor Services , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , IFSIJ Measure of Journal Quality , Scientific Journal Impact Factor (SJIF) , International Scientific Indexing, UAE (ISI) (Under Process) , International Impact Factor Services (IIFS) , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Academia , Scope Database , Research Publication Rating and Indexing , 

ISSN 2457-0400

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Indexing

  Indexing

  • Google Scholar
  • Index Copernicus
  • SOCOLAR, China
  • Research Bible, Fuchu, Tokyo. JAPAN
  • Cosmos Impact Factor
  • Scientific Indexing Services (SIS)
  • UDLedge Science Citation Index
  • International Impact Factor Services
  • International Society for Research Activity (ISRA) Journal Impact Factor (JIF)
  • IFSIJ Measure of Journal Quality
  • Scientific Journal Impact Factor (SJIF)
  • International Scientific Indexing, UAE (ISI) (Under Process)
  • International Impact Factor Services (IIFS)
  • Web of Science Group (Under Process)
  • Directory of Research Journals Indexing
  • Scholar Article Journal Index (SAJI)
  • International Scientific Indexing ( ISI )
  • Academia
  • Scope Database
  • Research Publication Rating and Indexing

Abstract

AI ACCEPTANCE AMONG CKD PATIENTS: ASSESS PATIENTS’ WILLINGNESS TO USE AI-POWERED TOOLS FOR CKD MANAGEMENT

Dr. Prabhjot Kaur*

ABSTRACT

Background: CKD management involves complex decision-making, necessitating accurate risk stratification, personalised treatment plans, and continuous monitoring. 1AI-powered tools can facilitate predictive analytics for early disease detection and progression, Personalized treatment recommendations, Automated monitoring and alert systems and Enhanced patient engagement and education. 2However, the effectiveness of AI-powered tools relies on patients' acceptance and adoption. Objective: To assess the willingness of chronic kidney disease (CKD) patients to use Artificial Intelligence (AI)-powered tools for CKD management. Materials and Methods: Cross-sectional study with 150 CKD patients. The questionnaire assessed demographics, CKD-specific information, AI chatbot perception, and intention to use in selected hospital of Punjab. Results: Multiple linear regression analysis identified perceived ease of use, usefulness, subjective norm, image, and result demonstrability as significant predictors of intention to use. Conclusions: CKD patients' intentions to use AI-powered chatbots are influenced by various factors. Understanding these factors can inform effective chatbot design and implementation.

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