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Markets are settling into holiday mode, with stock futures slightly down on the last full trading day before Christmas. Here’s where things stand today: * Nasdaq-100: +0.37% * S&P 500: +0.04% (flat) * Dow Jones: -0.22% On Friday, the S&P 500 rose 1.1%, recovering
Quantum computing stocks are taking off in 2024. Is this the start of something big? Let’s take a closer look Google’s Chip Changes the Game Google’s new Willow chip, a 105-qubit processor, hit a big milestone: * Fixed Errors: It solved a 30-year problem by cutting down error
Government surveys that track the economy are failing. Budgets are shrinking, people are skipping surveys, and economic data we rely on is becoming less trustworthy. This is a big deal—because when the numbers are wrong, decisions that affect markets, businesses, and everyday life go wrong, too. Here’s what’
The S&P 500 Value Index just dropped 3.7%, marking its longest losing streak on record. Meanwhile, Bitcoin smashed past the $100,000 mark, and the Nasdaq climbed to 20,000. To me, it seems that value stocks have been left in the dust, and investors chasing bigger
Healthcare is on the brink of a $300 billion transformation. Who knew saving money and lives could be as simple as turning to AI? Well, maybe not simple, but definitely useful.
Over $4.5 trillion is spent annually on healthcare, with $300 billion going to administrative operating expenses. These expenses are largely due to repetitive (and often boring) labor-intensive tasks.
Generative AI would address those inefficiencies by automating office operations and reducing labor costs. AI can streamline tasks such as scheduling, billing, and data entry, freeing up resources for patient care.
Innovating Healthcare: Three Key Categories
Generative AI has the potential to benefit healthcare by transforming three key categories: patient engagement, documentation, and clinical decision-making.
- Patient Engagement: AI can hugely impact patient engagement through three main phases: pre-consultation discovery, optimized medication intake, and post-consultation care. For instance, the Cleveland Clinic handles over 6 million calls monthly, an issue begging for AI's help. By automating tasks such as appointment reminders and medication adherence, AI could improve efficiency and patient outcomes.
- Streamlining Documentation and Reducing Burnout: You ever remember your last doctor’s appointment? Did you notice how a general checkup has your doctor manually inputting info onto a computer? AI could assist in transcribing that interaction and managing records, reducing burnout among healthcare professionals.
- Enhancing Decision Making with AI: AI's ability to analyze vast amounts of medical data would help doctors make informed decisions. This can lead to better patient outcomes and extended longevity (which is our end goal).
In the broader context of healthcare, companies are really competitive. Over the past decade, providers have operated with razor-thin margins and are often unwilling to spend on promises of long-term cost efficiencies.
AI’s integration is part of a larger trend towards automation in our world. We have a $300B opportunity to reduce costs, improve patient care, and drive innovation in healthcare.