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73 episodes
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The Health Pulse SAS
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- Technology
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4.9 • 13 Ratings
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How can data, AI and advanced analytics accelerate health innovation? Which new technologies hold the most promise? What are the biggest roadblocks to progress? How can we solve endemic problems?
Join us for The Health Pulse podcast series as we explore fresh perspectives on digital transformation in health care and life sciences. With a special guest expert on each episode*, we’ll tackle the most pressing issues affecting the delivery of health care and therapies worldwide.
All presentations represent the opinions of the presenter and do not represent the position or the opinion of SAS.
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A Conversation With an Oncology Legend
Dr. Otis Brawley, Bloomberg Distinguished Professor of oncology and epidemiology at Johns Hopkins University, is passionate about cancer research, prevention and high-quality cancer care. He served as Chief Medical and Scientific Officer and Executive Vice President of the American Cancer Society from 2007 to 2018 and has published over 200 scientific articles. In this episode, Dr. Brawley speaks about the impact of socioeconomic factors on cancer rates. Smoking, obesity and poverty are leading causes of cancer in the United States. With cancer rates rising, Dr. Brawley emphasizes the importance of prevention and risk reduction, including healthy lifestyle choices such as regular exercise and a healthy diet. Dr. Brawley is passionate about reducing cancer care disparities and saving lives with accessible, high-quality care, including appropriate screening, diagnostics and treatments. Having the correct data and technology in place can help to identify high-risk individuals and plan interventions early to prevent diseases. Lastly, Dr. Brawley shares valuable insights on carcinogens and practical tips on how to prevent cancer.
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Empowering Cancer Patients With Lifesaving Information
Dr. Maya Said, Founder and CEO of Outcomes4Me, aims to empower cancer patients worldwide to be proactive about their care with information and technology.
On this episode of The Health Pulse podcast, Said shares how a personal health scare illuminated for her how overwhelmed cancer patients feel when they face understanding their diagnosis and treatment options, finding the best providers and clinical trials, managing treatments and costs, and navigating their lives and relationships during treatment. The experience inspired her to launch the platform Outcomes4Me, which uses data and AI to help cancer patients become more informed and connected to improve their outcomes – at no cost.
Tune in to learn more about the role of data in addressing disparities in cancer care and how generative AI is poised to revolutionize treatment. -
Health Care Interoperability and AI in Action
Dr. Michael von Wagner, Chief Medical Informatics Officer at University Hospital Frankfurt and a pioneer in interoperability, speaks about the importance of a seamless data exchange for personalized patient treatments and efficient health care systems.
On this episode, Dr. von Wagner joins Alex Maiersperger to discuss health data standardization, new regulations, and two pioneering data and AI projects at University Hospital Frankfurt. A team of experts came together at the hospital to integrate data from different sources into a dashboard that monitors trends in the development of antibiotic resistance, enabling optimization of treatments. In another project, they collaborate with another major university hospital and general practitioners to combine research and clinical data on rare diseases to help GPs with evidence-based diagnoses.
Dr. von Wagner is optimistic about the future of health care with AI-based solutions for clinical decision support, but also explains why risks and opportunities need to be evaluated carefully. He emphasizes that the interoperability, flexibility and scalability of AI-based solutions are key to a successful future. -
What to Really Expect From Generative AI
GenAI is rapidly making the once impossible possible. On this episode of The Health Pulse, SAS’ AI Product Strategy Advisor Marinela Profi chats with Host Alex Maiersperger about just how fast the needle is moving and what we can and cannot likely expect large language models (LLMs) to solve anytime soon.
Some of the GenAI use cases Profi is most excited about are in the health care space, helping providers accelerate tasks and glean valuable information for diagnostic and care decisions. She shares a balanced perspective on the possibilities and caution required when applying generative technology in health care and life sciences, highlighting the importance of explainable AI and a human in the loop. -
LLMs for everyone in health and life sciences?
There is no shortage of interest around large language models (LLMs) in the health care and life sciences space. Are organizations able to successfully operationalize LLMs in a cost-efficient, regulatory-compliant and ethical manner?
On this episode of The Health Pulse podcast, SAS Global Medical Director Dr. Steve Kearney and host Alex Maiersperger discuss key considerations around the application of LLMs. Explore how organizations are improving data interoperability and converging across health care and life sciences – thus positively impacting patient outcomes and experiences. -
Accelerating Health Equity With Technology and Trust
Health equity is a hot topic in health care, and Dr. Pooja Mittal speaks about key success components, including the importance of trust, technology and strong relationships with communities. Bringing health stakeholders and community members together is crucial to building trust and providing culturally relevant care that drives better health outcomes. From a young age, Dr. Mittal realized that health care is not equitable, and challenging environmental conditions cause higher disease rates. With a mission to reduce health disparities, Dr. Mittal became a physician and Chief Health Equity Officer at Health Net. She believes technology is key to making care more equitable and supporting patients from historically disadvantaged communities, as it enables access to data to better understand needs, access to telehealth, enabling patients to receive care remotely and access to culturally sensitive technology, supporting unique needs.