The role of AI and mobile apps in patient-centric healthcare delivery

Abstract

Patient-centric healthcare is an approach to healthcare that prioritizes the needs, preferences, and values of patients in the delivery of medical services. As part of a patient-centric model, patients take active part in decision-making regarding their own care, while healthcare providers tailor treatments and services to each patient's needs. The rise of artificial intelligence (AI) and mobile applications (apps) has now opened new avenues for enhancing patient engagement and improving healthcare outcomes, so by leveraging AI's sophisticated data analytics and predictive capabilities, healthcare providers are able to gain unprecedented insights into patient health patterns, thereby enabling personalized, and proactive care plans tailored to the patient’s individual needs. Furthermore, mobile apps have become potent tools, giving patients smooth access to healthcare resources, virtual medical consultations, and real-time health tracking, boosting patient independence and enabling them to manage their health with greater ease. The integration of AI and mobile apps into healthcare delivery is revolutionizing patient-centric care by enhancing patient engagement, empowerment, and self-management capabilities. However, addressing concerns around data privacy, security, and digital literacy is crucial for successful implementation. This study outlines a framework for harnessing these technologies to enhance patient outcomes and overall healthcare experiences. It explores the roles AI and mobile apps play in facilitating patient-centric healthcare and examines how the use of these technologies can promote personalized care, boost patient education and self-management, and improve communication between patients and healthcare providers.

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