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13Nov, 2024
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Healthcare AI: Trump 2.0 and 2024 HLTH Conference Overview (Part I)

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Trump 2.0 and AI in Healthcare Before we dive into the insights from the 2024 HLTH Conference in Las Vegas, it’s worth considering how AI might evolve under the new Trump 2.0 administration. In our previous blog, we outlined expectations for this administration based on available information, but we intentionally avoided discussing AI at that time. We are, of course, biased—but with over three decades of healthcare operational experience, we felt it was important to separate the issues. As of now, we don’t yet know who will lead the healthcare […]
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11Nov, 2024
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Trump 2.0 and the Healthcare Outlook

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As a consumer-focused health information technology company dedicated to empowering individuals to access their healthcare data using Artificial Intelligence, we will refrain from commenting on specific market segments. Our mission is to benefit consumers, but given the magnitude of the national healthcare crisis, we will focus on broader policy implications. Stay tuned for more insights on Healthcare AI in our upcoming blog. The recent election has brought President-Elect Trump back into office, securing a Republican popular vote victory for the first time in 20 years. With expanded control in the […]
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31Oct, 2024
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Healthcare AI: The Wall Street Journal on Fixing the “Mess” of Medical Records

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{Brief US political commentary at the end} The promise of digital healthcare was a streamlined, integrated experience. Electronic Health Records (EHRs) were supposed to make patient information universally accessible, improve care, and reduce costs. Yet, as highlighted in Laura Landro’s recent Wall Street Journal article, “Your Medical Records Are a Mess, Technology Can Help,” this vision remains largely unfulfilled. Despite advances, our EHR systems remain fragmented, indicating we have decades of work ahead. I appreciate Jon Krause’s illustration in the article, but it feels overly optimistic. Healthcare records behave less […]
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29Oct, 2024
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Healthcare AI: How Will It Affect Care Providers?

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In previous blogs, we discussed the expensive and broken nature of the U.S. healthcare system. Now, let’s explore the potential opportunities AI offers in healthcare, particularly regarding employment. The Impact on Healthcare Jobs Recently, a close friend shared a concerning story: her best friend, a nurse, was laid off due to “AI.” I was taken aback by the speed of such changes. Her friend worked as a case manager, but I didn’t delve further into the details. What’s crucial is that this could become a reality for many in healthcare. […]
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24Oct, 2024
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Healthcare AI: The US Healthcare Model is Broken and Getting Worse (Part II)

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In our previous blog, we discussed the latest report from The Commonwealth Fund (CWF), “Mirror, Mirror 2024: A Portrait of the Failing U.S. Health System.” This report compares healthcare across ten developed nations and reveals sobering findings: the U.S. healthcare system lags behind, despite its enormous costs. The evaluation covers systems in Australia, Canada, France, Germany, the Netherlands, New Zealand, Sweden, Switzerland, the United Kingdom, and the United States across five key domains: access to care, care process, administrative efficiency, equity, and health outcomes. The results? The U.S. ranks 9th or […]
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15Oct, 2024
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Healthcare AI: The Real Challenge and Opportunity (Part II)

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As I concluded my previous blog, Hurricane Milton was quickly approaching Florida. On the Southeast coast, where my family resides, we weren’t expected to be in its direct path. As lifelong Floridians, we felt prepared rather than fearful. However, we were unprepared for the over 100 tornado warnings and one tornado that passed over our home, causing significant damage in the neighborhood. While my family and I are safe, this experience serves as a stark reminder of nature’s unpredictability and our reliance on technology to safeguard our lives and homes. […]
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10Oct, 2024
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Healthcare AI: The Real Challenge and Opportunity

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I frequently discuss and work on AI-related projects, and I’m often surprised by how many people in healthcare recognize the value of technological advancements but fail to see their transformative potential. Here are my thoughts on AI from a high-level perspective. Historically, before modern medical advancements, doctors in the 18th century relied on techniques developed in Ancient Greece. Hippocrates, a 5th-century BC physician, proposed the theory of humors, which posited that the body’s health depended on the balance of four bodily fluids: blood, phlegm, yellow bile, and black bile. To […]
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2Oct, 2024
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Healthcare AI is Not Hype: Why AI is a Real Benefit to Consumer-Driven Health

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Artificial Intelligence (AI) has emerged as one of the most transformative technologies of our generation, impacting diverse sectors such as finance, entertainment, and retail. However, while these industries have experienced rapid advancements, healthcare remains one of AI’s most promising yet untapped frontiers. AI is poised to revolutionize healthcare, not only by empowering providers but, more importantly, by giving consumers greater control over their health. The narrative that “AI’s ship has sailed” is simply untrue; we are still in the early stages of realizing AI’s full potential in healthcare. A key […]
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26Sep, 2024
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Healthcare AI is Not Hype : Empowering Consumers, Enabling Providers and Advancing The Science”™ -“AI Globally is a $19T Opportunity”

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Like many others, I’ve noticed that AI is becoming increasingly prominent in our lives, largely due to significant investments from major companies like Microsoft, Google, Meta, and Amazon. While my grammar may not be perfect and my thoughts are not always sequential, I often find AI to be a challenge, attempting to reshape my intentions or enhance my capabilities. Yet, it also transforms me. This doesn’t diminish my excitement for AI’s potential impact on healthcare—particularly in “empowering consumers, enabling providers, and advancing the science”™. This phrase is so integral to […]
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17Sep, 2024
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Healthcare AI is Not Hype: Understanding and Using It Accurately, Effectively, and Prudently Is Harder Than It Seems

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In our previous message, we discussed LLMs, SLMs, and ILMs. Here’s a detailed explanation of each: Large Language Models (LLMs): LLMs are machine learning models trained on extensive text datasets to understand and generate human language. They utilize transformer architectures (such as GPT) to handle tasks like text generation, summarization, and translation. Key Features: Trained on massive datasets, often with billions of parameters. Capable of performing a wide range of natural language processing (NLP) tasks. Examples include GPT-4, BERT, and PaLM. Small Language Models (SLMs): SLMs are more compact models […]
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