- 43.2k views
Patient Centric Care in Critical Care
Patient-centric care in critical care is a holistic approach that places the patient at the center of medical decision-making and treatment processes. It prioritizes the individual's preferences, values, and needs, considering not only their medical condition but also their emotional and psychological well-being. This approach involves clear communication, shared decision-making, and active involvement of patients and their families in care planning. Healthcare providers strive to deliver personalized care that respects the patient's dignity, autonomy, and cultural beliefs, aiming to optimize outcomes and enhance overall quality of life.
About the Speaker
Dr V Rakesh
HOD, Critical Care and ECMO Specialist, Gemcare Hospitals, Hyderabad"
Dr. V. Rakesh is a skilled intensivist and ECMO specialist currently working in Gemcare Hospitals. He is Also the CEO of Varahi Care Services which is a specialized firm offering online service for second opinions on critical care services. He has demonstrated a history of providing exceptional patient care in fast-paced critical environments. Rakesh's expertise includes critical care, advanced hemodynamic monitoring, and thoracic organ transplant anesthesia. He serves as a team lead for a 6-bedded CLOSED ECMO ICU, showcasing his leadership abilities. Rakesh is an expert in air transport for critically ill patients and is dedicated to teaching students at various levels. He is recognized for his contributions to medical science, holding two patents, and has received an honorary fellowship from the KALAM INSTITUTE OF HEALTH TECHNOLOGY. His achievements extend to being a national and international level faculty in ECMO training programs and serving as the committee head for research, data, and guidelines for ECMO in India.
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.
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.
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.