Enhancing AD/ADRD Management Through iHelpCare: A Compliant and Culturally Sensitive AI-Driven Digital Healthcare Platform

Abstract

The digital healthcare field is expanding fast, and now it requires platforms that use advanced technology and maintain robust data security and compliance practices. In this paper, we present the main architecture, key methodologies, and compliance strategies of iHelpCare, a digital healthcare system designed to meet HIPAA and GDPR standards while improving healthcare accessibility, efficiency, and inclusivity. The platform uses AI-based features to deliver personalized care solutions, focuses on preventive health management, and offers adaptive tools for people with disabilities. iHelpCare enables real-time patient monitoring, ensures secure medical data management, and facilitates convenient communication among patients, caregivers, and healthcare providers. Moreover, special attention is provided to people with Alzheimer’s through memory aid tools, cognitive exercises, caregiver resources, and AI-based detection analytics. All these characteristics are intended to detect cognitive decline at an early stage, enabling prompt interventions and improving patients’ quality of life. Also, iHelpCare considers unique health needs by providing access to culturally appropriate healthcare materials, telehealth consultations in multiple languages, and community support networks, making healthcare easier and more effective for this community. The platform’s AI analytics provide predictive insights that help medical professionals anticipate health conditions, optimize treatment plans, and reduce caregiver burden. To improve accessibility, features such as voice command, screen reader, and gesture recognition are included to help users with cognitive and physical disabilities. iHelpCare is envisioned to evolve through advanced sensor integration, personalized and inclusive care models, enhanced security, smart home support, and clinically validated tools for patients and caregivers.