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    EP 213: AI Meets Doctors - Turning Healthcare from a Service to a Product

    en-usFebruary 22, 2024

    Podcast Summary

    • The Future of Healthcare with AI: From Service to ProductGoogle paused AI image generation due to inaccuracies, NVIDIA reported impressive earnings, and AI researchers warn of deep fake dangers, highlighting AI's growing impact on healthcare and tech industries

      The future of healthcare is expected to undergo significant changes with the integration of artificial intelligence (AI). While the idea of robot doctors and nurses might be intriguing, the transformation may mean turning healthcare from a service to a product. In the news, Google paused its Gemini AI image generation features due to historical inaccuracies, while NVIDIA reported impressive quarter 4 earnings, showcasing its growth in the AI sector. Furthermore, AI researchers are warning of increased dangers of deep fakes and urging governments to intervene. These developments underscore the importance and impact of AI in various industries, including healthcare and technology. Stay tuned for more insights on this topic in today's episode. Additionally, don't forget to check out our website for more information on AI and healthcare, as well as our newsletter for recaps of all our interviews.

    • Revolutionizing healthcare with AIForward's CEO believes AI and technology can democratize healthcare, scale it up, and potentially extend lifetimes, despite challenges in the industry.

      The intersection of AI and healthcare is revolutionizing the industry with companies like Forward leading the way. Adrian Awund, the founder and CEO of Forward, shared his personal experience of witnessing the inefficiencies in healthcare and the inspiration behind creating a product-based solution. He believes that by migrating healthcare services to hardware and software, we can democratize healthcare, scale it up to the whole planet, and potentially extend our lifetimes. Despite the challenges in the industry, such as the lack of access to care for billions of people, Awund sees the potential of AI and technology to transform healthcare as a service into a product. This shift could lead to a more accessible, efficient, and effective healthcare system for everyone.

    • Revolutionizing Healthcare with AIAdrian Aoun's team uses AI technology in their clinics to collect data, determine best treatment paths, and even operate entirely AI-driven doctor's offices, aiming to make healthcare more proactive and effective.

      Adrian Aoun and his team are revolutionizing the healthcare industry by implementing advanced AI technology in their clinics. This shift began around 10 years ago when Aoun, with a background in AI from Google, recognized the potential for AI to improve healthcare, particularly in response to the inefficiencies he witnessed during his brother's hospitalization. Starting with their "model S" high-tech clinic, they collect vast amounts of data through various scans and tests, and use algorithms to determine the best treatment paths. Their latest innovation, the "forward care pod," is an entirely AI-driven doctor's office, where patients can undergo various tests and procedures, and the technology learns from the data to prevent future health issues. Aoun's goal is to make healthcare more proactive and effective, addressing issues before they become life-threatening, rather than the current system that "does fuck all." This approach is a game-changer in the healthcare industry, using AI as a versatile tool to address various challenges, just as it has been applied to other industries like self-driving cars and city planning.

    • From a few miles to millions: Health care lags behind transportation advancementsAI has the potential to revolutionize health care by addressing data collection and analysis issues, leading to more effective care and improved lifespans

      While human transportation capabilities have advanced dramatically over the centuries, leading to incredible distance travel, our lifespans and health care systems have not kept pace. The speaker notes that 100 years ago, people could only travel a few miles on foot, but now we can travel millions of miles with modern transportation methods. However, life expectancy has only increased from around 42 years to about 72 years today. The speaker argues that we need a revolutionary change in health care, not just incremental improvements, and technology, specifically AI, has the potential to make that change. The US health care system is described as broken due to its inability to effectively meet people's needs. The speaker suggests that the lack of advancement in health care is due to a lack of data collection and analysis, and AI has the potential to address this issue. The speaker encourages listeners to take advantage of resources like the free "Prime Prompt Polishing" course to improve their use of AI tools like ChatGPT. Overall, the speaker emphasizes the need for a significant shift in the way we approach health care, and AI is seen as a promising solution.

    • The Future of Healthcare: Human Expertise and Advanced TechnologyThe future of healthcare involves a combination of human expertise and advanced technology, not a replacement of one over the other, to efficiently and effectively address health issues and impact more lives.

      The evolution of employee benefits, particularly healthcare, is a result of well-intentioned government regulations and business adaptations. However, with the average employee tenure being short, employers now bear the burden of healthcare costs. Looking ahead, the role of doctors in healthcare is changing, and they need better tools to make a larger impact. The future lies in the combination of human expertise and advanced technology, not a replacement of one over the other. Doctors should be equipped with modern tools to address health issues more efficiently and effectively, allowing them to impact more lives.

    • Balancing privacy and progress in healthcare technologyDespite privacy concerns, the potential benefits of using AI and data collection in healthcare for longer, healthier lives may outweigh the risks. We should focus on using technology to improve healthcare and shift towards a more proactive approach.

      While there are valid concerns about privacy with the increasing use of AI and data collection in healthcare, the potential benefits of longer, healthier lives may outweigh these concerns. The historical context given in the discussion highlights how we've given up privacy for convenience and accessibility in other areas of life. Hackers are more interested in financial data than health data. Instead of focusing on privacy concerns, we should focus on using technology to improve healthcare and live better lives. The discussion also touched upon the idea that healthcare may be too reactive and needs to shift towards a more proactive approach. Overall, the conversation emphasized the importance of considering the trade-offs and potential benefits of technology in healthcare.

    • Consumers take proactive approach to health, but healthcare system lags behindHealthcare industry needs to adapt to consumers' proactive mindset and provide better, more preventative solutions through faster development and implementation of new ideas and data collection

      Consumers, or patients, have a proactive approach towards health, yet the current healthcare system often fails to provide preventative measures. Cecilia's comment highlights this disconnect, as consumers are increasingly investing in wearable technology, organic food, and other preventative measures. However, the healthcare industry seems to focus more on compliance and scolding patients for not following prescribed treatments. The mobile computing revolution serves as an example of how rapid iteration and innovation can lead to successful products. Forward is aiming to do the same in healthcare by allowing for faster development and implementation of new ideas. The collection of data is crucial for preventative healthcare, and Forward is working to gather more data points to improve the healthcare experience for its members. In essence, the healthcare industry needs to catch up with consumers' proactive mindset and provide better, more preventative solutions.

    • Combining Health Research Fields for Exponential InnovationFord Motors aims to create a global clinical trials platform, combining health research fields to accelerate innovation, improve mental health, weight loss, cancer prevention, and more.

      By bringing together various fields of health research, such as behavioral and genetics, on a single platform, we can potentially create an exponential rate of innovation in healthcare. This could lead to significant advancements and improvements in mental health, weight loss, cancer prevention, and more. Ford Motors' vision is to create a world's largest clinical trials platform where everyone contributes to healthcare learning every day, aiming to eliminate health disparities and make good health accessible to all. Currently, Ford's Forward Clinics are available in major cities in the US, and they're expanding with CarePods. However, insurance acceptance is not currently a priority for Forward.

    • Demanding better value in health careConsumers can drive improvements in health care affordability, accessibility, and quality by demanding better value and embracing technology.

      Consumers should demand better value for their health care dollars. Health care currently accounts for 20% of GDP, which translates to one out of every $5 coming out of an individual's pocket. Yet, the quality and outcomes of health care services do not always justify this substantial investment. The speaker, Adrian Aoun, emphasizes the need for a shift from viewing health care as a service to regarding it as a product. This perspective encourages competition and innovation, leading to improvements in affordability, accessibility, and overall quality. By refusing to accept subpar health care, consumers can push for a more efficient and effective system. Adrian also emphasizes the importance of technology in making health care more accessible and personalized, with a vision of a future where health care infrastructure exists across the entire spectrum, from neighborhood clinics to in-home devices and even wearable technology.

    • Demanding a Better Healthcare System: A Call to ActionThought leader Adrianne Ross urges collective action to improve healthcare and embraces AI as a solution, inspiring listeners to join the movement for change.

      The current healthcare system leaves many feeling underserved and overcharged. Adrianne Ross, a thought leader in the field of AI and healthcare, expressed her frustration with the system and called for a demand for something 1000 times better. She believes that by collectively pushing for improvements, we can pave the way for innovative solutions in healthcare. Ross's passion for moving healthcare forward was evident throughout the conversation, and she left us inspired to join the movement. If you agree that the healthcare system needs a change and that AI has a role to play, please share this episode with your network. Tune in tomorrow on the Everyday AI Show as we discuss the ethical considerations of AI and strategic innovation. Don't forget to subscribe, leave a rating, and sign up for our daily newsletter for more AI magic. Let's work together to break barriers and shape the future of healthcare.

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    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

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    FOLLOW Joe: https://twitter.com/joethebrew

    FOLLOW Presh: https://twitter.com/preshdkumar

    FOLLOW Jason: https://linktr.ee/calacanis


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