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Role of Technology in Healthcare
Technology plays a pivotal role in revolutionizing healthcare by enhancing patient care, diagnosis, and treatment. Electronic health records (EHRs) streamline data management, improving access to patient information and facilitating communication among healthcare providers. Telemedicine platforms enable remote consultations, expanding access to healthcare services, especially in rural or underserved areas. Advanced medical imaging technologies like MRI and CT scans provide detailed insights for accurate diagnosis and treatment planning. Wearable devices and health monitoring apps empower individuals to track their health metrics and promote preventive care. Artificial intelligence and machine learning algorithms analyze vast datasets to identify patterns, predict disease progression, and personalize treatment approaches, ushering in an era of precision medicine.
About the Speaker
Mr. Inderpal Kohli
VP President & Chief Information Officer, Englewood Hospital, Newyork
Inderpal Kohli, Vice President of Information Technology and Chief Information Officer at Englewood Health, brings over 25 years of leadership in healthcare technology. Kohli oversees strategic planning and the implementation of enterprise information systems, driving digital transformation across the health system. His initiatives include establishing cybersecurity programs and implementing innovative hospital communication architectures. Previously, at the Hospital for Special Surgery, he led the implementation of enterprise information systems and pioneered digital pathology solutions. Kohli's contributions extend to Columbia University Medical Center, where he developed flexible information infrastructures for clinical research. Apart from his professional roles, Kohli actively engages in the healthcare community as a speaker and contributor to healthcare journals. He holds a master's degree in technology management from Columbia University and a bachelor's degree in computer science from India.
Upcoming Case Discussions
Scale Healthcare Brands with AI-Powered Marketing
The AI revolution in medicine is transforming healthcare, making it smarter and more efficient than ever before. From early disease detection to personalized treatment plans, AI empowers doctors with data-driven insights for better decision-making. Robotic surgeries and AI-assisted diagnostics are enhancing precision and reducing human error. AI also improves patient care through virtual assistants and remote monitoring tools. This technological leap is paving the way for a future where healthcare is more accessible, accurate, and innovative.
Comprehensive Approaches to Pediatric Practice
Comprehensive approaches to pediatric practice emphasize holistic care that integrates early screening, preventive measures, and tailored treatments. These strategies involve using tools like the NISA card for early detection of conditions such as iron deficiency anemia. Regular anthropometric assessments provide insight into growth and development, allowing for early intervention. Incorporating neurodevelopmental screening tools ensures that cognitive, emotional, and physical milestones are monitored effectively. Collaborative care models, including parental involvement and education, support continuous patient engagement. Digital health tools can enhance monitoring and streamline consultations. Multidisciplinary teams can address complex cases more efficiently. Preventive care and health education are prioritized to reduce long-term risks. Comprehensive approaches foster a proactive environment that adapts to each child's needs. The result is improved health outcomes and overall child well-being.
Case Based Discussion on Bronchiolitis
Bronchiolitis is a common respiratory infection in infants and young children, primarily caused by the respiratory syncytial virus (RSV). It presents with nasal congestion, cough, wheezing, and difficulty breathing, often following an upper respiratory infection. Management is largely supportive, focusing on hydration, oxygen therapy, and suctioning nasal secretions. Routine use of bronchodilators, steroids, or antibiotics is not recommended. Severe cases may require hospitalization for respiratory support, such as high-flow nasal cannula or mechanical ventilation. Preventive measures include proper hand hygiene and, in high-risk infants, palivizumab prophylaxis. Prompt recognition and appropriate care are key to reducing complications and improving outcomes.
Diabetic Complications in 12 Questions
Diabetic complications in 12 Questions" is designed to address common concerns related to the long-term effects of diabetes, such as neuropathy, retinopathy, and cardiovascular issues. Through a Q&A format, the session aims to educate participants on prevention, early detection, and management strategies for these complications to improve overall diabetic care.
Management of ICU Delirium
The management of ICU delirium involves a combination of preventive strategies, such as early mobilization, minimizing sedation, and addressing underlying medical causes, to reduce the risk and severity of delirium in critically ill patients. Treatment includes optimizing the patient's environment, using non-pharmacological interventions, and, if necessary, medications to manage symptoms while focusing on long-term cognitive recovery.
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Mr. Inderpal Kohli 's Talks on Assimilate
- 17th-June-2024, TIME : 6:45PM - 7:45PM
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Technology plays a pivotal role in revolutionizing healthcare by enhancing patient care, diagnosis, and treatment. Electronic health records (EHRs) streamline data management, improving access to patient information and facilitating communication among healthcare providers. Telemedicine platforms enable remote consultations, expanding access to healthcare services, especially in rural or underserved areas. Advanced medical imaging technologies like MRI and CT scans provide detailed insights for accurate diagnosis and treatment planning. Wearable devices and health monitoring apps empower individuals to track their health metrics and promote preventive care. Artificial intelligence and machine learning algorithms analyze vast datasets to identify patterns, predict disease progression, and personalize treatment approaches, ushering in an era of precision medicine.