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Leveraging AI and Data Analytics in Healthcare
AI and data analytics are transforming healthcare by enhancing diagnostics, treatment, and operational efficiency. AI-powered tools analyze vast datasets to identify patterns, enabling early disease detection and personalized treatment plans. Predictive analytics improve patient outcomes by forecasting risks and optimizing interventions. In operational management, AI streamlines workflows, reduces costs, and enhances resource allocation. Machine learning models support drug discovery and accelerate clinical trials. Additionally, AI-driven chatbots and virtual assistants improve patient engagement and accessibility. By integrating AI and data analytics, healthcare systems can deliver more precise, efficient, and patient-centered care while addressing challenges like workforce shortages and rising costs.
About the Speaker
Dr (Maj) Satish S Jeevannavar
Founder at Ai Health Highway, Bengaluru
Dr Satish is a physician, ex-army medical corps officer & alumnus of IIM Bangalore with 20+ years’ experience across scaling startups in Primary Healthcare, mHealth, Pharma & Life Science Strategy Consulting in India, APAC & Emerging Markets. He has launched mhealth services with a leading telecom partner across 23 circles & 180+ million customers (2015-16). Dr Satish was instrumental in scaling 0-60 primary care clinics across 5 States, launched India's first OPD Insurance Product & Senior Citizen Independent Home Project in Bangalore (2010-15). With over 20+ years of experience across various sectors and domains in the healthcare industry, I have developed expertise in healthcare innovation, market entry strategy, cross-industry partnerships, and policy. I am also a member of the Healthcare Council at GLG, where I contribute to shaping the future of healthcare in India and beyond. As a veteran physician with an MBA from IIM Bangalore and a certification in mHealth from Stanford University, I am passionate about leveraging technology and data to solve global health challenges and improve access and quality of care. Currently, he is the Founder & CEO of Ai Health Highway, a MedTech start-up incubated at FSID/ IISC. Ai Health Highway is the winner of Leap to Unicorn Season 2, PHC Tech Challenge 2021, one of the 27 most promising ML start-ups selected for Amazon's AWS ML Elevate 2022 program. I have been leading this venture since Feb 2018, with the vision of achieving the Sustainable Development Goal 3 of ensuring healthy lives and well-being for all by 2030.
Upcoming Case Discussions
Acne: Disorders and Treatment Approaches
Acne is a common dermatological condition caused by clogged pores, excess sebum production, bacterial growth, and inflammation. It can manifest as blackheads, whiteheads, papules, pustules, or cysts, often leading to scarring if untreated. Various factors, including hormonal changes, diet, stress, and genetics, influence its severity. Treatment approaches range from topical and oral medications, such as retinoids, antibiotics, and hormonal therapy, to advanced procedures like chemical peels and laser therapy. A personalized skincare regimen, along with lifestyle modifications, plays a crucial role in managing and preventing acne.
Congenital Uterine Anomalies
Congenital uterine anomalies are structural abnormalities of the uterus resulting from improper fusion, canalization, or resorption of the Müllerian ducts during fetal development. These anomalies include septate, bicornuate, unicornuate, and didelphys uterus, among others. They can be asymptomatic or associated with infertility, recurrent pregnancy loss, preterm birth, or abnormal menstruation. Diagnosis is typically made using imaging modalities like ultrasound, MRI, or hysterosalpingography. Treatment depends on the type and severity of the anomaly, with surgical correction such as hysteroscopic septum resection often indicated in symptomatic cases. Early detection is crucial for optimizing reproductive outcomes and guiding appropriate management strategies.
Management of Postoperative Pain: Best Practices for GP’s
Effective management of postoperative pain is crucial for promoting recovery and preventing complications. General practitioners should start by assessing pain severity using appropriate scales, then tailor the treatment plan based on the patient's medical history and the type of surgery. A combination of pharmacological approaches, such as non-opioid analgesics (e.g., NSAIDs) and opioids when necessary, should be used to minimize pain while reducing the risk of addiction. Multimodal strategies, including physical therapy and non-pharmacological techniques like cold therapy or mindfulness, can further enhance pain relief. Close follow-up is essential to adjust the treatment as needed and ensure the patient's pain is well-controlled.
Diabetes and Stem Cells: What Does the Future Hold?
The future of diabetes treatment may be revolutionized by stem cell research, offering hope for a long-term cure. Scientists are developing stem cell therapies that could regenerate insulin-producing beta cells in the pancreas, potentially restoring natural insulin production in people with type 1 diabetes. Early clinical trials have shown promising results, with some patients reducing or eliminating their need for insulin injections. While challenges like immune rejection and long-term efficacy remain, continued advancements suggest stem cell therapy could significantly change diabetes management in the coming years.
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Dr (Maj) Satish S Jeevannavar's Talks on Assimilate
- 18th -Dec -2024, TIME : 5:00PM TO 6:00 PM
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AI and data analytics are transforming healthcare by enhancing diagnostics, treatment, and operational efficiency. AI-powered tools analyze vast datasets to identify patterns, enabling early disease detection and personalized treatment plans. Predictive analytics improve patient outcomes by forecasting risks and optimizing interventions. In operational management, AI streamlines workflows, reduces costs, and enhances resource allocation. Machine learning models support drug discovery and accelerate clinical trials. Additionally, AI-driven chatbots and virtual assistants improve patient engagement and accessibility. By integrating AI and data analytics, healthcare systems can deliver more precise, efficient, and patient-centered care while addressing challenges like workforce shortages and rising costs.