### Analysis of the Problem of Disease Management
Predictive analytics is another area where AI has the potential to improve care management by allowing the detection of patterns that may indicate future health hazards [50]. In the end, this prevents complications and enhances patient outcomes by enabling early interventions and individualized treatment regimens. AI-powered remote monitoring enables continuous data analysis from wearables, facilitating the early identification of minute changes in health. Healthcare personnel are freed up to concentrate more on providing direct patient care by using AI to automate repetitive administrative activities like appointment scheduling and billing. Large language models and AI-based technologies can improve efficiency and accuracy in care management, but they also have the ability to change the way healthcare is delivered by making it more patient-centred, proactive, and data-driven. Innovative approaches in disease management are crucial for several reasons:  
* _Improved outcomes_: (_a_) _Precision medicine_ provides tailored treatments based on an individual's genetics, environment, and lifestyle, which can lead to more effective and personalized therapies, improving patient outcomes [51]; (_b_) _advanced and innovative technologies_ like AI, telemedicine, wearable devices, and robotics enable remote monitoring, early detection, and personalized care and lead to better disease management [52];
* _Cost-efficiency_: (_a_) _preventive focus_ is often emphasized by the innovative approaches and preventive measures leading to reductions in the financial burden on healthcare systems [53] or the diagnosis of chronic diseases in early stages when treatments are more manageable and less costly; (_b_) _streamlined processes_ through technology can reduce administrative costs and errors in healthcare delivery. * _Accessibility and equity_: (_a_) _Telemedicine and remote monitoring_ bridge geographical gaps, providing access to healthcare for remote or underserved populations and increasing the accessibility to healthcare services [54]; (_b_) _affordability and scalability_ of the solutions that make treatments accessible to a larger number of people. Ensuring scalability without significant disruptions requires developing systems that are simple to integrate and communicate across several platforms [55]. * _Data-driven insights_: (_a_) _Big data analytics_ is used for analysing huge amounts of healthcare data and can reveal patterns, improve diagnostics, and assist in predicting disease outbreaks or trends [56]. Big data applications in the medical field enhance medical care's quality and optimize medical procedures and management techniques [57]; (_b_) _real-time decision making_ involves improved preventative treatment, and early interventions are made possible by the real-time monitoring of certain health parameters that are regularly and continuously collected. Rapid analysis of real-time data helps healthcare providers make quicker, more informed decisions, improving patient care. Real-time data may easily flow into algorithms built to analyse, understand, and extract actionable insights thanks to real-time monitoring features integrated with decision-support algorithms. With the help of this connection, decision makers will always have access to up-to-date data that have been carefully analysed. * _Patient-centred care_: (_a_) _Empowerment and engagement_ of patients to actively participate in their healthcare decisions, fostering better adherence to treatment plans and lifestyle changes, are promoted using innovative tools and approaches. Healthcare professionals can create a cooperative atmosphere in which patients feel empowered, knowledgeable, and actively involved in their own health management by adopting the concept of patient-centred care [58]. (_b_) _Improved Communication_ between doctor and patient using telehealth platforms and communication tools has the role of enhancing their interactions, _ensuring_ better understanding and compliance with treatment protocols.