Patient-centric care and digital health tools

Digital health technologies, including patient portals, wearables, telemedicine, and AI-driven tools, are transforming patient-centered care (PCC) by improving engagement, self-management, and accessibility. Integrated personal health records (PHRs) enhance data sharing, adherence, and chronic disease management, yet challenges like interoperability, privacy, and the digital divide remain. Emerging innovations-AI chatbots, digital therapeutics, and intelligent digital twins (IDTs)-leverage IoT and machine learning to enable predictive, personalized care. For example, IDTs combine wearable and EHR data to simulate real-time health states, optimizing interventions for conditions like heart failure. Similarly, text-based therapy and CBT apps offer scalable mental health support with efficacy comparable to traditional methods. Despite their potential, barriers such as algorithmic bias, health literacy gaps, and inadequate co-design hinder equitable adoption. Participatory approaches involving patients and providers are essential to developing inclusive, user-centered solutions. Future research must prioritize rigorous, evidence-based evaluations to ensure scalability, security, and long-term effectiveness. By addressing these challenges, digital health can fulfill its promise of accessible, high-quality PCC.