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The Future of AI in Healthcare
The future of AI in healthcare promises transformative advancements, enabling faster and more accurate diagnoses through machine learning algorithms. AI will enhance personalized medicine, tailoring treatments to individual patients based on genetic and lifestyle data. Robotic surgery and AI-driven imaging will improve precision in medical procedures, reducing risks and recovery times. AI-powered virtual assistants will support doctors by streamlining administrative tasks, allowing more focus on patient care. Ultimately, AI has the potential to revolutionize healthcare by increasing efficiency, reducing costs, and improving patient outcomes globally.
About the Speaker
Mr. Jitendra Barmecha
Senior Vice President, Chief Information & Digital Strategy Officer, SBH Health System, NewYork, USA
Dr. Jitendra Barmecha, MD, MPH, MACP, SFHM, is an Associate Professor of Clinical Medicine at CUNY School of Medicine and serves as Chief Information & Digital Strategy Officer and Senior Vice President at SBH Health System, Bronx, NY. Starting as Chief Medical Resident at SBHHS, he later earned an MPH in Health Management and Policy from New York Medical College. He oversees SBHHS's digital transformation, focusing on health technologies, EHR integration, and patient engagement solutions. A key member of SBHHS’s COVID-19 pandemic command center, Dr. Barmecha has contributed to telehealth publications and serves on various healthcare advisory boards. He remains active in clinical care, teaching, and publishing on healthcare management, digital medicine, and patient safety.
Upcoming Case Discussions
Technology Integration with Healthcare
Technology integration in healthcare is transforming the way medical services are delivered, enhancing efficiency and patient outcomes. Innovations such as telemedicine, electronic health records (EHR), and wearable devices allow for real-time monitoring and improved accessibility. Artificial intelligence (AI) and machine learning aid in early diagnosis and personalized treatment plans. Robotic surgeries and advanced imaging techniques offer precision and reduced recovery times. By combining technology with healthcare, providers can streamline operations, improve patient engagement, and deliver cost-effective care solutions.
Pediatric Obesity: Treatment Management
Treatment management for pediatric obesity combines lifestyle changes, family support, and, in severe cases, medical interventions. Family-based strategies are key, encouraging healthy eating habits, regular physical activity, and reduced screen time. Behavioral therapy helps set achievable goals and address barriers, empowering children and families to make sustainable lifestyle adjustments. Dietitians often assist in designing individualized meal plans that focus on nutrient-rich foods and limit calorie-dense options. In cases of severe obesity with related health conditions, medications or surgery may be considered, particularly for adolescents. Continuous monitoring and support from healthcare providers are essential for long-term success and health improvement.
Case Based Approach to Arthritis
A case-based approach to arthritis involves analyzing individual patient cases to tailor diagnostic and therapeutic strategies based on specific symptoms, disease progression, and underlying causes. This method enhances clinical decision-making by providing personalized treatment plans and improving patient outcomes in conditions like osteoarthritis, rheumatoid arthritis, and psoriatic arthritis.
Clinician’s Approach to Sleep Apnea
A clinician's approach to sleep apnea begins with a thorough assessment of the patient's medical history, symptoms (such as snoring, choking, and daytime fatigue), and risk factors like obesity or hypertension. Diagnosis is typically confirmed through polysomnography or home sleep apnea testing, followed by treatment strategies such as continuous positive airway pressure (CPAP), lifestyle modifications, or surgical interventions depending on the severity and type of sleep apnea.
Falls and Fractures in Older Adults: Prevention and Immediate Care
Falls and fractures in older adults are common and can lead to significant morbidity, highlighting the importance of fall prevention strategies such as strength training, balance exercises, and home safety modifications. Immediate care involves quick assessment for fractures, pain management, and stabilization, along with appropriate transport to healthcare facilities for further evaluation and treatment.
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Mr. Jitendra Barmecha's Talks on Assimilate
- 18th -Oct -2024, TIME : 6:30PM TO 7:30 PM
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The future of AI in healthcare promises transformative advancements, enabling faster and more accurate diagnoses through machine learning algorithms. AI will enhance personalized medicine, tailoring treatments to individual patients based on genetic and lifestyle data. Robotic surgery and AI-driven imaging will improve precision in medical procedures, reducing risks and recovery times. AI-powered virtual assistants will support doctors by streamlining administrative tasks, allowing more focus on patient care. Ultimately, AI has the potential to revolutionize healthcare by increasing efficiency, reducing costs, and improving patient outcomes globally.