Anmol Madan

I used to spend 2-3 hours daily on clinic notes, skeptical of AI scribe technology. However, I've been impressed with RevMaxx, a generative AI company transforming clinical note creation by listening to physician-patient conversations and automatically generating comprehensive notes. This platform accurately captures crucial ICD-10 codes, saving valuable time ⏰. 👉 Why This Matters: - **Reducing Physician Burnout:** Administrative tasks are a significant contributor to physician burnout. Innovations like RevMaxx alleviate this burden effectively. #HealthcareInnovation #AI #PhysicianBurnout #MedicalDocumentation #HealthTech #RevMaxx

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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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One of my proudest moments as an investor occurred today as Alaffia Health announced its series A because it shows how the Aperture® Venture Capital vision of multi-level, multi-generational #impactinvesting is succeeding in the marketplace. Here’s the model in its most basic form : ✅As diverse fund managers with meaningful capital to allocate, we are changing the VC landscape every day just by doing our day jobs. ✅As Black/Brown investors with ~40 years experience collectively, Aperture GPs have access to talent /excellence that others do not, so our portfolio *organically* is more inclusive by race, gender and geography even while optimizing for financial outcomes (all about the alpha). ✅Our most successful portco’s are using financial #innovation to solve market problems that impact underrepresented demographics and underserved communities. Alaffia Health is a shining example of the impact portion of our overall fund thesis, and we couldn’t be prouder of TJ Ademiluyi and Adun Akanni, MPH, PMP - the dynamic brother-sister founder duo whose vision we have steadfastly supported on their journey. Congratulations to TJ and Adun from William Crowder and myself, as well as the whole Aperture team- Marjorie King Philip McKenzie Yves Louis-Jacques Tanvi Lal Michelle Dhansinghani Lisha Bell Katie Kelly Amy Chung Cindy Chong, CFA Brian Fernandes-Halloran Monroe France Jayden Pantel Darren Herman Evan Wladis Neal Triplett Thomas Scriven Peter Ammon Irina Bit-Babik Tim Milanich Rob Rahbari

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On the latest Vital Signs, Nikhil Krishnan and I had a ton of fun chatting with Dr. Atul Butte. Dr. Butte is a professor at UCSF, Chief Data Scientist of the UC Health System, and a co-founder of numerous healthcare startups. In our conversation, Dr. Butte shared his takes on healthcare AI opportunities, challenges, hype, and more. A few highlights: ⚡LLM use cases, data, and growth LLMs are already helping to solve the “drudgery” aspects of medicine, such as automatically drafting SOAP notes and patient messages. Dr. Butte is excited about future applications of LLMs that can help with the “cognitive” aspects: with difficult medical problems an LLM might be able to stitch together disparate pieces of information to generate a potentially novel solution. He also highlights that prompt engineering will become the next “coding language” as so much of leveraging LLMs is knowing how to ask them the right questions. Additionally, Dr. Butte discusses how since 2016, UCSF has been working to deidentify its patient notes so that it can query them to answer clinical questions and ultimately enhance patient care. ⚡The need for patient-facing AI As patients are increasingly able to access their own personal health data in nicely structured formats (e.g., EHRs, wearables), they desperately need more tools to help them interpret and make decisions using that data. Dr. Butte understands that these patient-facing solutions are challenging to get funded but he emphasizes that patients need to receive the benefits of AI sooner. ⚡Evaluating healthcare AI solutions In order to evaluate AI solutions, we often put human specialists – such as medical professionals – on the same tasks. Understanding that specialists often disagree with each other, a significant challenge arises in figuring out how we can evaluate AI considering we can’t just “average” all the specialist opinions. Dr. Butte points out that there still remains a massive gap in AI evaluation tools. Additionally, there are so many organizations that want to have a say in how healthcare AI is regulated that the landscape is uncertain. An awesome conversation with an expert on all things AI meets healthcare. Listen to the full episode below: Spotify: https://spoti.fi/3Wr3643 Apple: https://apple.co/4acwgan

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Open-source models can be a strong lever for increasing gross margins at AI companies, especially those that have hefty cost structures (e.g., enterprise sales orgs that require significant customer success or implementation resources, as well forward-deployed AI services models common in healthcare and life sciences). One of many reasons to maintain a modular and flexible stack with minimal dependencies when building an AI company. More on the importance of flexibility in the AI stack: https://lnkd.in/eA2XATRk h/t Delip Rao #ai #artificialintelligence #generativeai #healthcare

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Severe mental illness remains one of the most underserved areas in mental health, possibly because it is difficult to address with the type of virtual, easy-to-scale models that VCs love to back. We're so excited that Sonia Priscilla García and Stas Sokolin at Amae Health have been able to break the mold, bringing better in-person solutions for patients and families dealing with SMI, and attracting strong venture partners to do so cc: Lisa Jacobs Blau, Alison Ryu, Claire Akkan Quiet Capital, Healthier Capital, Jan Ellison Baszucki, Karin Kissane, Mike Volpi

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Suppose you are a VC, Early investor, or CIO trying to keep your eye on the industry trends. In that case, you’ve probably heard already about hallucinations, context shifts, and accuracy measurement problems in LLMs. These scary concepts kill motivation to invest in LLM-based projects and build RnD departments. Are they really so scary? Yes, but just for now, you have a good strategy to cope with them. Is this strategy already known? Yes, old but still one of the most effective approaches- knowledge graphs in combination with fresh new RAGs will allow you to keep your models free of hallucinations, stable in accuracy, and easily adaptable for context change. Btw, do you know that knowledge graphs are seeing as one of the most impactful AI enables during this year?🙌🏻 How big companies like Deutsche Telekom and Microsoft are seeing the future of LLMs adoption you can find here https://lnkd.in/d4B3t56z

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As I look at startups and incumbents using LLMs / Generative AI in healthcare for provider workflows, I am trying to separate fact from hope, and current reality vs. the likely progress in the next 1 - 2 years. Wondering if there is anything in the "it's real now" bucket or in the "it seems very likely in the near future" one. 3 basic questions I am hoping to be educated on - if you have a strong POV, I'd love to learn from you: 1. Ambient listening: Given Nuance knows a thing or two about dictation and speech, and Msft about LLMs, what is the real angle for new players? Is it fewer hallucinations? More accuracy? More actionable guidance based on proprietary medical knowledge? I am assuming everything needs to go back into the EHR so why is this not simply Epic + Msft wins? I get the stuff about elephants not dancing and such but still...? 2. Clinical Diagnoses: Is this for real? Will we really see a day that my historical and real time medical record, (not just the stuff I see on Apple Health) can be fed into a fine-tuned model with all the RAG, RLHF bells and whistles, and out will pop helpful guidance for medication or other meaningful interventions I should take? And for all the talk of "provider in the loop / AI is an assistant not the agent" talk, is there a real example of this capability saving time / $$ / creating access? (Outside of radiology - I get how images are a well solved problem) 3. Workflow integration: Related to 2. above, has anyone seen a real LLM use case integrated into nursing / clinician / other provider workflow in a useful way that doesn't make them use multiple screens, create new and often artificial alerts and triggers, and add burden as opposed to take it away? Above all, are hospitals and staff buying into / trusting any specific use cases? I'd love to see a case study or two of real ROI delivered with ecstatic users who would hate to lose the capability. This is revealing my ignorance, so please educate me on the reality and near term (1 - 2 year) potential, I get all the stuff about the long term promise. Thanks in advance!

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🔍 𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐏𝐫𝐨𝐝𝐮𝐜𝐭-𝐌𝐚𝐫𝐤𝐞𝐭 𝐅𝐢𝐭: 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐒𝐞𝐪𝐮𝐨𝐢𝐚'𝐬 𝐉𝐞𝐬𝐬 𝐋𝐞𝐞 🔍 Sequoia's Jess Lee on identifying product-market fit for early-stage startups: - Understand customers' needs deeply. - Iterate based on feedback. - Solve real problems. - Observe user engagement. - True product-market fit: Consistent user returns and recommendations. #StartupSuccess #ProductMarketFit #Entrepreneurship #CustomerFeedback #Innovation #Sequoia

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Chatbots spewing hate speech is a problem for engineers and security teams alike. Building safe and reliable AI systems is a problem that runs deep! Check out my latest blog to learn about how we got here and what you can do to deploy AI that you can trust. I’ve even drawn up some illustrations to keep you entertained on the way: 

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I had a lot of fun recording a podcast episode with Shiva Singh Sangwan. We discussed the evolution of Humba Ventures & Susa Ventures; tips for raising and building a fund; how to improve investment sourcing & picking; the role of luck in investing, and so on. https://lnkd.in/eiqsStej

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Nic Poulos and I wrote an essay for Euclid Ventures, "An Era for Vertical Software." The TL;DR is that vertical SaaS is a distinct, enduring discipline that we believe is poised to dominate the software landscape over the next decade.   "2024 will represent a turning point, perhaps even a new era for venture capital. While the fog feels like it’s lifting, the path forward isn’t yet clear. One includes a soft landing for the US economy and the continuing recovery of software multiples, with ZIRP-era behaviors continuing around hot themes. Another sees a recessionary period in which VC capital inflows remain stagnant and startup funding the year dips below $100B. Either way, a more measured VC market in 2024 is a certainty. For many investors, that will come with a rude awakening as their strategy becomes more difficult to execute or their thesis of choice is negatively impacted by tightening markets.    We see this reversion of the venture ecosystem to its mean as a strong tailwind for Euclid and vertical software. As a category, Vertical SaaS is uniquely well suited to thrive in volatile market conditions and produce fund-returning outcomes. The sections below aim to answer the question: why is vertical software different? Our answer discusses the factors driving the natural market resilience we see in vertical software as a category–resilience that will help them thrive in 2024 and beyond."

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I really like this PMF Framework from Sequoia. https://lnkd.in/gT2nWttx

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Really interesting conversation between Meghan McCarty Carino and Casey Ross about AI in senior care and the potential role that algorithms can play in determining care plans. I think using AI or algorithms in this way has benefits and challenges that come along with it. One positive effect it could have is increased personalization. Instead of giving everyone with a specific illness or medical issue the same treatment, it can help determine a more personalized solution that could improve patient outcomes. However, algorithms aren't always foolproof. In some instances, they can perpetuate bias and bad decision-making. If you're not working with unbiased, high-quality data, it could have major ramifications for a large number of patients. That's why I think if healthcare facilities use algorithms for patient care plans, humans still need to be active in developing the treatment plan. #SeniorCare #PatientCare #AIPersonalization

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Key takeaways from VC Goat - Vinod Khosla podcast. - The firm cares more about working on interesting problems with large technical solutions rather than just maximizing IRR. The team is there because they believe in the mission. - Khosla assumes they've lost the money the day they invest, and then maximizes for the upside opportunity. He calls it "option value investing" rather than IRR investing. - Khosla has contrarian bets in AI (neuro-symbolic computing, probabilistic approaches), biotech, robotics, crypto, and more. - He believes aviation fuels, fusion energy, new transit systems, and other contrarian areas ignored by most investors will be huge opportunities. - Most large innovations come from outsiders, not industry insiders. Khosla looks for founders who can learn a business rapidly rather than have deep domain expertise. The Future Impact of AI - AI will be deflationary and increase productivity growth to 4% annually vs the typical 2% forecast. This will cause great abundance but also increasing income inequality. - Bipedal robots will take over most manufacturing and manual labor jobs within 20-25 years. This will free humans to be more creative and pursue their passions. - Education will shift from job training to creativity. Uniquely human elements like taste and curation will be most valued in an AI-enabled world. https://lnkd.in/gqBsmbks

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Once you’re in it, you’re in it. #Startup #founders don’t just take financial risk - they invest years of their lives. For many, it’s absolutely worth it. To me, the first task is the most important one: to define your target and make absolutely sure it’s one worth that level of investment.

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The healthcare landscape is rapidly evolving, driven by advancements in technology and a deeper understanding of patient care. I had the pleasure of speaking with Ambar Bhattacharyya, Co-Managing Partner at Maverick Ventures, on the latest episode of The Full Ratchet. Ambar has partnered with numerous billion-dollar companies like hims & hers, Cityblock Health, Devoted Health, and ConcertAI. His unique journey from rural America to becoming a prominent figure in venture capital offers invaluable insights into the future of healthcare and technology. We discuss his investment strategy at Maverick Ventures, the megatrends shaping healthcare, the impact of AI on the industry, and the importance of integrated care. Ambar also shares his thoughts on the challenges and opportunities in healthcare investment, offering a comprehensive view of what lies ahead. Check out TFR Episode 438 to catch our conversation. You'll be glad you listened.

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Excited about the evolution of Product Management? Join us on 5/22 at 4pm PT for a deep dive into this dynamic shift with Carelon Chief Product Officer Gautam M Shah. In this engaging Products That Count webinar, we'll explore how Product Managers are transcending their traditional roles as mere builders to become strategic partners driving business success. Learn firsthand how PMs are leveraging their expertise to navigate the complexities of today's product-led industries, shaping strategies, and enabling growth. Don't miss the opportunity to participate in a live Q&A session with an industry expert. Secure your spot now for an insightful discussion: https://rb.gy/wdvep7 #ProductManagement #Webinar #BusinessStrategy

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