Hi everyone. Hope everyone is fine. My name is Hari Esh Babo gdi, having totally yourself experience in enterprise workflow architecture with a strong focus on AI powered process optimization and robotic automation. Currently I serve as architect where I design, develop, and support the intelligent workforce systems that seamlessly integrate real time decision making, artificial in intelligence and end-to-end automation. My work is centered around solving the complex business problems and enhancing the operational efficiency. Throughout my career, I had the privilege of collaborating with several pioneering organizations. Across the telecom, finance and insurance sectors driving innovation and digital transformation at scale. So today I'm going to present how multimodal AI is transforming a patient centered healthcare. Our multimodal AI framework is redefining the landscape of modern healthcare by inly, orchestrating, and integrating. Wide spectrum of patient data sources, including health, healthcare records, variable devices, genomic data, and patient reported outcomes. By synthesizing these adverse impact in real time, we empowering with deep actionable insight. That support precise, timely, and personalized care decisions. At the same time, our system elevates administrative and cognitive burdens on healthcare providers by automating protein analysis and surfacing the most relevant clinical information. Ultimately, enhancing the outcomes while optimizing the operational efficiency. Multimodal approach. So electronic healthcare records, robust electric electronic health records serve as the backbone of modern healthcare analytics by consolidating the comprehensive medical histories, clinical nodes, and diagnostic information, electronic healthcare records provides the essential foundation for advanced AI driven interpretation. Clinical decision support systems. And the second one is patient reported outcomes. Direct structured input from patient captured subject to experiences such as pain levels or emotional wellbeing. Data that traditional clinical metrics often overlook. These insights empower clinicals to design truly personalized care pathways based on what matters most to the patients. And the third one, as part of the multimodal approach is genomic profiles. So detailed genetic profiling enables the application of precision medicine. By identifying individual genetic variations and biomarkers. So clinicals can select highly targeted therapies, improve treatment efficiency and reduce adverse reactions, transform the standard of care for complex diseases. And the fourth one, as part of the multimodal approach is wearable sensor data. So real time data from wearable devices allows for continuous psychological monitoring, including heart rate, sleep patterns, physical activity, and more. This ongoing stream of data fills the gaps between the clinical visits offering a dynamic view of health trends and supporting early strategies reduce your clinical burden. So it reduces the 42% of the documentation time. So this will reduce the administrative documentation workload, and it saved like 3.5 hours, whatever this hours saved these additional hours. Clinical, the S can spend with patients weekly. The third one is 89% of the provider satisfaction where clinicians reporting improve work-life balance. So enhance your patient engagement. So there are four things we will cover as part of the enhance your patient engagement. The first one is increase participation and impressive. 87% of the patients are now actually involved in their own healthcare, engaging more deeply in treatment planning, following Daily Health, opines and using digital tools to track the wellness. This behavioral shift is fostering better health outcomes and stronger adherence to the care plans satisfaction. So patient experience scores have a surge by 42%. A clear indicator demographics including age gaps, socioeconomic levels, and clinical conditions, conforming the in universal effectiveness of personalized AI support supported interventions. And the third one is better communication. So healthcare professionals are now. 68% more time to the tailored care conversations. Moving beyond the generic advice to meaningful and patient specific discussions, these enables more informed decisions and stronger provider patient. And the fourth one is stronger relationship. 93% of the patients report elevated trust in their healthcare providers. When AI driven insights are openly shared and clearly explained, transparency and personalization are providing essential in building long-term, trusted partnerships between the patients. Under care teams, as part of our AI framework, there are uncovering hidden correlations. First one is their own genomic analysis. AI examines genetic variance across patient populations, and the second one is the pattern detection, so system identifies. To traditional analysis method. And the third one is treatment optimization. Medications match to the generic profiles for maximum efficiency, and the fourth one is outcome improvement. Reduce adverse events and enhance treatment responses. This is the early prediction of the patient ation. So how our AI framework is predicting the patient's ation. Our advanced AI protection system identifies critical determination signals up to 48 hours before the conventional monitoring issues providing a crucial time. Advantage for the clinical intervention by analyzing sub psychological pattern changes across multiple parameters Simultaneously, the system issues detection rates of 65 to 96% compared to the traditional monitoring, 10 to 65%, dramatically improving patient outcomes. In times since two scenarios, optimized oncology care, so it improves the quality of life. Our advanced data driven approach leads to the significant enhancements in patient wellbeing by delivering precisely calibrated treatments that align with each clinical history genetic backup. Lifestyle and ongoing health data. By minimizing adverse effects and maximizing therapeutic efficiency. Patients experience better day-to-day functionality, reduce the symptom burden, and a greater sense of control over their health journey. Reduce the hospitalizations. By predictive analytics, continuous monitoring, and timely clinical interventions. Our AI driven care model significantly lowers the risk of emergency admissions by identifying the early warning signs and addressing the health issues before the xray. We enable proactive care management that minimizes the complications, reduces the unnecessary hospital visits. And enhances the overall healthcare efficiency, ultimately improving the both patient outcomes and the cost effectiveness. And the third one is optimize treatment pathway. So leveraging the power of artificial intelligence, our system generated tailored treatment protocols that are dynamically aligned with each patient's clinical profile. Genetic makers, lifestyle factors and realtime health data. This physician driven approach ensures that care plans are evidence-based, adapt to and highly individualized, leading to the foster recovery, fewer side effects and improved treatment adherence. The communication. So how our AI framework is. Bridging the communication gaps between the specialist primary care and the patients in terms of the specialist access to the consistent, comprehensive patient data across all touch points and the primary care enhancing visibility into the specialist recommendations and treatment ISTs AI system that translates complex medical data. Into clear, actionable recommendations. And the fourth one is the patient's better understanding of the complex medical decisions and treatment plans from React two to React two care. So how our AI framework is using a reactive to proactive care. The shift from reactive to proactive care in healthcare is being accelerated by artificial inte intelligence and how these diseases are ED prevented and how unmanaged. So predictive analytics and early risk identification, AI excels at analyzing vast amount of patient data, including healthcare records, imaging, genetics. And real time biometric inputs. For example, AI can detect sub progress in the vital signs or behavior such as a small but consistent changes in respiration or sleep quality that may indicate the nearly onset of conditions like sepsis or hyper protection. The personalized risk profiles and targeted interventions, AI enables the creation of personalized risk profiles by integrating data from various sources, including genetics, lifestyle and environmental factors, and management, and improved outcomes. So studies have shown that. The proactive care management targeting AI identified at risk patients can lead to the significant reductions in preventable hospital admissions. For instance, one intervention at OLA Health resulted in 27% drop in potentially preventable hospital admissions among high risk patients identified by ai. And realtime monitoring and dynamic care plans. Wearable and remote monitoring devices feed continuous data into the AI systems enabling realtime assessment of the patient health. AI can trigger alerts exist. Care plans are prompt outreach when detect deviation from expected patterns such as missing. Missing medications are reduced refill activity, ensuring timely support and intervention. And the last one is operational efficiency and provider cost. It also automates the risk screening, trash and documentation, freeing up clinicals to focus on high value tasks and the real world impact and. Our comprehensive five year study across 27 healthcare systems reveals transformative improvements. 34% increase in clinical efficiency, 41% reduction in adverse events, and 23% enhancement in patient reported satisfaction scores across diverse populations. The future of the patient-centered care. So personalized medicine means treatment tailored to individual generic profile preferences and circumstances. The second one is continuous adoption AI systems that learn and evolve with each patient's health journey. And third one is empower participation. So patients as active partners in healthcare decisions through AI enhanced information. And the fourth one is healthcare transformation. A new paradigm optimizing both clinical outcomes and human experience. Thank you.