- 21.2k views
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
Endometriosis and Infertility
Endometriosis is a condition where tissue similar to the lining of the uterus grows outside of it, often affecting the ovaries, fallopian tubes, and pelvic organs. This disorder can cause painful periods, pelvic pain, and, in many cases, infertility. The presence of endometrial-like tissue outside the uterus can disrupt normal reproductive function by causing inflammation, scarring, and adhesions, which can interfere with ovulation, fertilization, and embryo implantation. Approximately 30-50% of women with endometriosis experience infertility, making it one of the leading causes of reproductive challenges in affected individuals. However, treatment options like surgery, medication, or assisted reproductive technologies can help improve fertility outcomes.
Impact of Endometriosis on Fertility
Endometriosis, a condition where endometrial-like tissue grows outside the uterus, can significantly impact fertility. It causes inflammation, scarring, and adhesions that may distort pelvic anatomy, block fallopian tubes, and impair ovarian function. Endometriosis is also linked to hormonal imbalances and poor egg quality, reducing the chances of conception. Symptoms like chronic pelvic pain and painful intercourse further complicate fertility. Diagnosis often requires laparoscopy, while management includes pain relief, hormonal therapy, and assisted reproductive techniques like IVF. Early intervention with medical or surgical treatment can improve reproductive outcomes, but severe cases may necessitate advanced fertility treatments for conception.
Hyperlipidemia: From Diagnosis to Treatment
Hyperlipidemia is a condition characterized by elevated levels of lipids, such as cholesterol and triglycerides, in the blood, which can increase the risk of cardiovascular diseases. Diagnosis typically involves blood tests measuring lipid profiles, while treatment focuses on lifestyle changes, such as diet and exercise, alongside medications like statins to manage cholesterol levels and reduce cardiovascular risk. Regular monitoring is essential for effective management and prevention of complications.
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.
Abnormal Uterine Bleeding: Diagnosis and Management
Abnormal Uterine Bleeding (AUB) is a common gynecological condition characterized by bleeding outside the normal menstrual cycle, excessive flow, or irregular patterns. It can result from structural causes (polyps, fibroids, adenomyosis, malignancy) or non-structural factors (coagulopathy, ovulatory dysfunction, endometrial disorders). Diagnosis involves a thorough history, physical examination, laboratory tests, imaging (ultrasound), and sometimes hysteroscopy. Management depends on the underlying cause and includes hormonal therapy (oral contraceptives, progestins), non-hormonal options (NSAIDs, tranexamic acid), and surgical interventions (endometrial ablation, myomectomy, hysterectomy). A tailored approach ensures effective symptom control and improved quality of life. Early evaluation is key to preventing complications.
Author Post
Impact
+
Talks
+
webinar
+
no.of registrations
One liner about speaker
Why is speaker relevant?
Dr (Maj) Satish S Jeevannavar's Talks on Assimilate
- 18th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
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.