AI And Data Analytics For Enhancing Home Healthcare: Optimizing Patient Outcomes And Resource Allocation
DOI:
https://doi.org/10.70937/faet.v2i01.61Abstract
The rapid advancement of artificial intelligence (AI) and data analytics has revolutionized home healthcare by enhancing predictive analytics, remote patient monitoring, workforce optimization, patient engagement, and data security. This systematic review, conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzed 125 high-impact peer-reviewed studies to examine the role of AI in improving healthcare delivery for home-based patients. The findings indicate that AI-driven predictive analytics significantly reduce hospital readmission rates by accurately identifying high-risk patients and enabling early interventions. AI-enhanced remote patient monitoring systems, including wearable devices and smart medication dispensers, have improved chronic disease management and medication adherence, reducing emergency hospital visits by up to 45%. AI-powered workforce management solutions have optimized scheduling and workload distribution, increasing caregiver efficiency by 28% and lowering operational costs by 20%. Additionally, AI-driven patient engagement platforms, including virtual assistants and digital health education tools, have improved patient-provider communication by 50%, enhancing treatment adherence and healthcare literacy. Furthermore, AI-enabled compliance and security measures have strengthened data protection in home healthcare, reducing cybersecurity threats by 42% and ensuring regulatory adherence to HIPAA and GDPR standards. The review highlights AI's transformative role in optimizing home healthcare by improving clinical decision-making, enhancing patient-centered care, and addressing resource allocation challenges. These findings contribute to the growing body of knowledge on AI applications in healthcare and emphasize the need for continued innovation in AI-driven solutions to enhance efficiency, accessibility, and security in home healthcare services.