Joel Purra

The most downloaded datasets from the California HHS site? If you follow me on LinkedIn, you've probably guessed it - the Medi-Cal enrolled provider list and Suspended and Ineligible list are the top two, followed by other datasets by a wide margin. The California Health & Human Services Agency (Cal HHS) has a nice data hosting site that resembles data.cms.gov. The site looks slick and provides interesting insights, including visitor statistics and download metrics. It's fascinating to see how people are interested in provider eligibility and exclusion data for Medi-Cal billing. Looking at how organizations use these public datasets, compliance emerges as the dominant use case. This makes sense - when accessing government data portals, users are typically verifying facts related to government programs. The user base spans health plans, hospitals, IPAs, medical groups, and even commercial payers, as Medicaid suspensions often trigger reviews across the healthcare ecosystem. What's interesting is that this pattern extends beyond healthcare. On data.ca.gov, which hosts all kinds of government data, the most downloaded dataset is the directory of certified electricians. This shows a consistent theme - whether it's healthcare providers or electricians, people come to government sites primarily to verify professional credentials and eligibility. This raises an intriguing observation about how government data is used. The way organizations use these datasets - downloading lists to verify credentials and eligibility - is functionally similar to what modern Identity Provider (IdP) systems do, but through a much more manual process. What are your thoughts on the future of government data in healthcare identity verification? #Healthcare #DigitalTransformation #Compliance #HealthTech #GovTech #Identity

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If you're new to Clay and wondering which enrichment to use to find company domains, I’ve got you covered! 🎯 I compared three popular enrichments: 🔹 GPT 4o mini 🔹 Clearbit 🔹 Google’s Find Domain by Company Name and there’s a clear winner so far: Google’s Find Domain by Company Name. Not only is it highly accurate, but it also offers a bonus feature, you can filter by location and language! 🌍 This is super handy if you're targeting companies in specific regions! –––––––––––––––––––––––––– I'm Nayab, a Clay Coach at Clay Bootcamp. I’m here to make Clay simple and show you how powerful it can be, no complex workflows, just clear insights! Follow for simpler Clay learning! 👣🔔

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Anthropic continues its good week with it's latest news. #Claude is becoming very powerful indeed. For marketing people, and people in my industry you really should start to look at Claude as a new member on your team. #ai #futureofmarketing #futureofwork

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🤔 A Fascinating Question: How could LLMs transform medical coding? Here's a data-driven hypothesis worth exploring... The Challenge: Medical coders today spend hours translating clinical notes into ICD-10 codes, juggling multiple reference guides and databases. It's like trying to translate a book while simultaneously checking three different dictionaries. Here's what an LLM-powered solution could look like: Think of it as a smart highlighter that could: - Extract key medical terminology from clinical notes - Map common diagnoses to preliminary codes - Create documentation checklists Based on current LLM capabilities and publicly available healthcare data, we could potentially see: - 25-30% faster processing for routine cases - Improved documentation completeness - Reduced lookup time for common codes The Technical Framework: - Fine-tuned LLM on medical terminology - Integration with existing systems - Human oversight for complex cases Why This Matters: For a hospital processing 200 records daily, even a 20% efficiency improvement means 40 more patients getting faster care. It's not about replacing human expertise - it's about augmenting it. 💡 Key Insight: The real value isn't in automation, but in reducing cognitive load. Like having a knowledgeable assistant who handles the initial research while experts focus on critical decisions. Question for healthcare professionals: Which parts of the coding workflow would benefit most from this kind of AI assistance? #HealthTech #AI #Healthcare #Innovation --- What specific challenges would you want this system to address first? Share below 👇

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I moved off of X, formerly Twitter, some time ago. I recently joined Threads because I value balanced information sharing, and Bluesky sounds compelling because of how it empowers its users in managing the information they see. And a collection of X users — in some cases, high-profile accounts including TV anchor Don Lemon and LGBTQ activist Alejandra Caraballo — have posted their intentions to switch to Bluesky, a Twitter-esque app launched by Twitter co-founder Jack Dorsey in 2019. Bluesky has a small base of users compared with major social media platforms, but it gives people more control over what they see. On Bluesky, people can build their own algorithms and share them with others, rather than everyone relying on one top-down algorithm that changes at the whims of company leaders. Thoughts from any early adopters of Bluesky? #socialmedia #media #information #communications #culture #creativity #strategy #leadership #innovation #marketing #branding #personalbranding Bluesky Social

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new post is coming out tomorrow - some thoughts about AI in healthcare -what does defensibility in healthcare AI look like? -what do the new OpenAI announcements unlock in healthcare? -diving into the idea that AI will create a lot more data -why AI probably won't lower costs you can sign up for it here: www.outofpocket.health

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The Stacks. TLDR. (<2 min read) Sandboxes and bad questions We opened this month's Stacks by sharing our new AI integration, why Sandboxing is the right choice for our database and why this is the exact feature that you didn't ask for, but needed. Our second AI editorial shares the importance of asking good questions when doing research and how better search strategies won't completely save us. Fibro: Make a Decision Already Our fibromyalgia content gives you the confidence push you need to stop referring out these patients and making the freaking diagnosis yourself. Standards of care guidelines call for primary practitioners to just call it already. If you use the current guidelines, you're not likely to flag the wrong person. We promise. ED in men (and not the one you're thinking) Eating disorders are maybe more common in your patients with ovaries, but the consequences of missing it in the other 50% of your patients is just as serious. We share how to flag your patients with eating disorders regardless of gender, and why you need to be more careful looking at every patient that sits across from you. Thumbs down for B3 on cholesterol In our sneak peek content (typically for members' eyes only), we share the importance of clinically relevant outcomes for cholesterol care and how niacin doesn't fit the bill for cholesterol lowering. Hashimoto's and Ovarian Reserve A few important papers were published in the last 18 months creating even more of a concrete connection between HT and POI. If you're working with people TCC who have a positive TPO, you may want to read this ASAP. Want to read the whole thing? Click here: https://joom.ag/hStd

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The hype around autonomous AI developer agents like Devin may be a bit exaggerated. A recent video debunks Devin's famous Upwork task, showing that the results were not entirely accurate. While I'm all for AI and its potential for productivity gains, it's clear that we're not quite ready to be replaced by our robot counterparts just yet. In the development of autonomous AI, it's important to avoid overhyping or faking results. Plenty of other projects are out there, and it's crucial to be realistic about what's currently possible. With new tech, it's easy for things to get blown out of proportion.

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What do you think about AI in senior care? Personally, I think we have to be careful with it. When AI presents itself as human, it can be confusing for seniors who may not have strong digital literacy skills. In fact, if they think they're talking to a person and not an AI chatbot, it can be dangerous if they're having a medical emergency or issue. However, there are some helpful use cases. I think Kristen Fischer's exploration of AI here is really interesting. "Artificial intelligence may be a useful communication tool to help older adults with cancer communicate with their doctors and have more of a say in their treatment," she says. AI can provide more context or explanation about certain treatment plans and translate the patient’s needs to clinicians in situations where the patient doesn't feel understood or heard. AI will never replace professionals, but it could help patients and clinicians better understand each other. Feel free to share your thoughts on this—I'd love to know if you think AI would be an effective tool for these situations. #AI #SeniorCare #FutureOfHealthcare

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Finding quality software talent is tough for a small/mid-sized business. Agencies are pricey, → while freelancers often fall short. There's a better way. I've been on both sides: 1) Struggling to access top engineers as a smaller firm. 2) Working with elite technologists craving more impactful work. The solution would be to: A curated marketplace connecting high-caliber software consultants with businesses needing digital products and services. No overhead, just vetted professionals focused on delivering value. ** “It's top talent without the high costs or risks.”

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We're trying a new thing: Company spotlights to help people better understand what various health IT vendors actually do 🔦 We’ll be cutting through the marketing speak to give short, to-the-point descriptions of a company’s product and/or service + some context on how they see their differentiators. Tag any companies in the comments you'd like to see us cover (and follow Elion if you want to stay in the loop!)

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I made a post last month highlighting how Devin would replace many developers. Well... it turns out the demo was staged. Devin failed at many of the tasks it was assigned by a client on Upwork. Devin's reported accomplishments and the actual task requirements didn't match. More in the video below 👇 Makes you question how far founders will take the mantra "fake it till you make it" 🤦‍♂️ All of us should be wary of bold product claims from now on. As it seems, AI tools still have some way to go if they are to fully understand and execute complex software development tasks that require nuanced decision-making. But that doesn't mean the AI software engineer is 10 years away. I'll give it 3 years tops. Video: https://lnkd.in/guYHUfzE

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New study suggests that gpt-o1 achieves "superhuman performance" on clinical benchmarks that include differential diagnosis, diagnostic reasoning, and crafting care management plans: * On Management Decisions, o1 outperformed both GPT-4 and clinicians by ~40% in generating accurate and actionable management plans. * On differential diagnosis, o1 included the correct diagnosis in 78.3% of cases, and its first suggestion was correct in 52% of cases. * On 70 diagnostic cases, o1 produced a response with an exact or very close correct response in 88.6% of cases. This was done with relatively simple zero-shot prompts. During the early 20th century, x-ray machines gradually went from "technical novelty" to "it's unethical to diagnose without them" for a range of medical conditions. It would be no surprise if the industry went through a similar transition to require use of medical generative AI over the next 2-3 decades. https://lnkd.in/gd3RhFbr #ai #generativeai #healthcare #healthcareai #healthai #datascience

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Get better at discovery with these posts: • Alex Newmann: I made a mistake during discovery that cost me millions in commission → https://buff.ly/3V5Jgdv • Mike Gallardo: You get 30 mins for discovery. → https://buff.ly/3V8t0sj • Monica Stewart: You should be doing this for most of your calls but you probably aren’t → https://buff.ly/3V7LWY4 • Pascal Hippmann 🧠 🐺: How to uncover urgency in your sales discovery → https://buff.ly/4bqqNhB • Adam Weekes: Some tips I do ahead of a discovery call and during → https://buff.ly/4bpJB0o • 🚀 📞 Sam Gillingham: Ok VS Great discovery calls → https://buff.ly/3V3BHUB • Dominic Blank: Very few salespeople do pain discovery → https://buff.ly/4bHNEVw • Martin Roth: If I could only focus on one part of the sales process to close deals faster → https://buff.ly/3V8dHzG • Amanda Long ⚡️: Your prospects don't care about your product → https://buff.ly/3V7T4Us • Laura Nelson: Easiest way to kick off a discovery call → https://buff.ly/3UDtl66 • Charles Muhlbauer: I closed a $65,000 deal by respectfully challenging my prospect → https://buff.ly/3K9qs6M • Phillip Kousz: Most salespeople ask questions. The great ones ask the right ones → https://buff.ly/3QRFS3x • 🎺 Rory Sadler: Discovery fatigue is on the rise → https://buff.ly/4bruHGO • Sandro Covi: Common Discovery Call Objections  → https://buff.ly/3wEpQTH • Gavin Kowalski: You need to ask uncomfortable questions → https://buff.ly/4bHNFc2 • Brian LaManna: After you finish discovery, ask: → https://buff.ly/4bo3JzL • Salman Mohiuddin: Took me 5 years to start doing this on my discovery calls → https://buff.ly/3QRFSAz • Tanveer Mostafa: If your discovery calls are starting to sound like FBI interrogations, try this → https://buff.ly/4bHNFsy • Kyle Asay: I talk a lot about bringing a point of view to discovery meetings. → https://buff.ly/3QRFSR5 • Nate Nasralla: Here's the 3-part discovery roadmap I use. → https://buff.ly/3RgaGv5 • Chris Orlob: 95% of the discovery questions salespeople ask piss off buyers → https://buff.ly/3ypvSYO • Ritchie Munro: Don’t talk about yourself on discovery calls!!! → https://buff.ly/3Ke7vje • Marcus A. Chan: Stop making this COMMON mistake on your discovery calls → https://buff.ly/3V8WXIs • Sean Gentry: Discovery calls are like a first date. → https://buff.ly/4brzsQE • Alper Yurder 🤝 interviews Patrick Trümpi: Be better at discovery with questions → https://buff.ly/3V4twr4 • Rich McDaniel jr. After 3 discovery calls over the past week - Something stood out to me → https://buff.ly/4bHNFJ4 • Mor Assouline: 4 things that transformed our disco that you can copy → https://buff.ly/3Kb7Svg • Matus Kucera: Without preparation, you will ask awkward questions → https://buff.ly/3KtXajH • Richard Smith: My first discovery call yesterday in some time. → https://buff.ly/4bHNFZA 📭 Join 2,000 sellers reading my daily newsletter: www.harishalkic.com

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My LLM — compression, expansion, and translation (the best about any topic—in the right form for any given context) Tired of information overload? LLMs can help you cut through the noise. To distill complex data into the core knowledge that matters… I leverage LLMs capability to — compress, expand, and translate.  To make knowledge easier to find and apply. Examples for my everyday applications of compression, expansion, and translation: →Compression← ‾‾‾‾‾‾‾‾ →← Summarize conversations:  From Zoom meetings to podcast insights and YouTube video transcripts,  I use AI to distill lengthy discussions into concise summaries. →← Scan research papers:  I upload documents to ChatGPT to extract insights, providing my specific questions in mind →← Speed-read books:  With Blinkist, I skim key insights quickly and explore related content with its AI recommendations ←Expansion→ ‾‾‾‾‾‾‾‾ ←→ Content creation:  To expand initial ideas into detailed content drafts for marketing materials, such as landing pages. I especially leverage the 5 Lightbulbs by Billy Broas that help me with initial ideas. ←→ Idea generation:  Starting from a simple prompt, LLMs help me brainstorm and explore ideas further. E.g. for finding new connections with Smart Connections in Obsidian. ➟Transformation➟ ‾‾‾‾‾‾‾‾ ➟ Multilingual support:  Daily translations between English and German simplify my communications. ➟ Refine communications:  My AI-powered tools assist in enhancing the clarity and impact of my written content. With my GPT that supports me with writing on LinkedIn. ➟ To connect concepts:  For instance to learn about the connection between the 4 learning types and the Second Brain approach. Dan Shipper's meta perspective resonates with me:  „Language models are cultural technologies. They give us the best of what humanity knows about any topic—in the right form for any given context" My next experiment with AI compression and translation: I'm currently reading the Fastlane Millionaire. A mind blowing book.  I’ll use AI to summarize base on my highlights it took on my Kindle. Results follow in one of my next posts. How do you use AI for compression, expansion, and translation? 👉Follow me for more on AI to grow a Second Brain

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Startup applications are now open on techtrust.ai 😎 Are you an early-stage AI startup based in the US? 🇺🇸 We’d be thrilled to support you on your journey, helping to showcase and explain your technology to potential investors. https://techtrust.ai You're not from the US? no problem. We have a waitinglist and get back to you later ❤️ #artificialintelligence #ai #venturecapital #vc #startups #business #technology

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💥 Are we witnessing a new round in the battle between innovation and computing power? 🤔 Which side are you on? I’d love to hear your thoughts! 💡 Read my articles here: https://lnkd.in/ge8vTT-P

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If you're using an Open AI model, you've probably heard to be careful with the data you share with it. This is because AI companies train their models on every interaction. This means the potentially confidential data you share could be stored somewhere and used for future model training. Some AI programs have options not to use training data, but it typically costs extra and still may not pass compliance for your industry. Be sure to check that it's compliant and don't share sensitive data! #data #ai #innovation

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