Misha Palecek

Some VC investors believe that brick and mortar - referring to a physical presence of some kind - should be avoided at all costs. Yet, the track record of clinic and hybrid care businesses in health care indicates otherwise. ==> One Medical (sold for $3.9 billion to Amazon), Oak Street (bought by CVS for $10.6 billion), Lifestance (IPO at $7.5 billion market cap), and PE-backed Premise Health (acquired by OMERS Private Equity for $1.1 billion) If a clinic is indicated as the optimal way to deliver care for that patient population, there are creative ways to build and operate them. Full article below with advice and strategies on how to build and operate hybrid clinics from my teammate Anarghya Vardhana from Maveron, Amir Dan Rubin from OneMedical Group, Steven Eidelman from Modern Animal and more!

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The (Healthcare) Ground Beneath Our Feet… This year it is likely that over $10 billion will be invested in the digital health sector – a robust amount, no doubt, but inconsequential when compared to the amount of capital tied up in healthcare real estate assets, which is estimated to be $1.2 trillion by Jones Lang Lasalle. Of that amount, approximately $790 billion is in the hospital sector while the remaining $490 billion is in medical office assets. It is estimated that there are 48.6k facilities with 3.4 billion square feet of healthcare real estate, 42% of which are owned by REITs and another 33% held by other private investment vehicles. Much of the digital health investment is meant to make the physical healthcare infrastructure more productive: greater operating efficiencies, greater patient throughput, more relevant personalized care models with better outcomes. As the healthcare system is being pushed to be more distributed to lower cost sites of care, accelerated now by the rapid proliferation of automation and AI capabilities, the potential impact on healthcare infrastructure assets will be profound. Thoughts on what that might look like... https://lnkd.in/eTfAdUbS #digitalhealth Flare Capital Partners

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💡Benchmarks in the investment industry serve as a standard for measuring the performance of securities, mutual funds, or investment managers. They provide a reference point for analyzing allocation, risk, and return of a portfolio, enabling investors to make informed decisions. Thanks Peter Walker for keeping us all informed!! Can’t wait for this!! Follow and get on the waitlist for this one! #benchmarks #fundraising #Capitalraise #founders #womenshealth #femhealth #medtech #wellness

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I've been experimenting with modelling healthcare opportunities quarterly vs. monthly... Why? - A lot of healthcare activities come in quarterly frequencies (e.g., Rx's are often given in 90 day supply) - Healthcare moves about 3x slower than most industries - Best practice around patient engagement re: tertiary services (from diagnostics to diet) seems to be every 90 days This slightly longer-term viewpoint combined with a razor-sharp focus on weekly growth is a potentially strong recipe. 

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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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If you're responsible for setting or executing an innovation strategy at a healthcare or life sciences organization, the Redesign Health Innovation Maturity Index can help you assess where your organization stands. If your strategy scores are on the lower side, don’t worry—we’ve got you covered. We’ve compiled a list of our favorite resources to help you strengthen your innovation strategy and align it with your business goals: 📖 Articles: "The Discipline of Innovation" by Peter F. Drucker: Learn how innovation can be systematic and a key element of your strategy. "You Need an Innovation Strategy" by Gary Pisano: Why every organization needs a formal innovation strategy tied to overall goals. "A New Approach to Strategic Innovation" by Haijian Si, Christoph Loch, and Stelios Kavadias: A fresh look at integrating innovation into core business strategies. 📚 Books: "The Innovator's Dilemma" by Clayton Christensen: Discover why large organizations struggle with disruptive innovation and how to overcome it. "Ten Types of Innovation" by Larry Keeley: A practical guide to building a diverse and effective innovation strategy. "Design Thinking for Strategic Innovation" by Idris Mootee: How to merge design thinking with strategic planning. "Playing to Win: How Strategy Really Works" by A.G. Lafley & Roger Martin: Learn how to create and execute winning strategies. Want to know where your organization stands on innovation? Take our 10-minute Innovation Maturity Survey to get your personalized assessment and start building your roadmap to innovation success today! 💡 https://lnkd.in/ekQ4AvNe We'll be selecting a few random respondents to receive one of the books from our reading list. And, if you have a recommended read to add to the list, please comment below 👇

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In the last 4 years, we've seen dramatic surges and falls in healthcare private equity deals and volumes. PE investments can revitalize existing healthcare organizations and breathe life into new, innovative approaches. Read more from my colleague Troy Keach on the top PE trends emerging in 2024.

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Still feeling energized from last week's roundtable on building successful relationships with hospitals. We invited 7 portfolio companies and health system leaders from Mayo Clinic, Cedars-Sinai and UCLA Health. The founders shared their questions ranging from the strategic to the nuts and bolts of closing partnerships. For example, how do you determine what measures of effectiveness help drive alignment? And how do you get all the stakeholders together to actually drive a decision. Answer: put them all in a room for half a day! “I think we're in a pivotal moment regarding how we assess AI. There are numerous risks currently dominating AI discussions, particularly those concerning bias and other associated risks. However, there's a notable absence of focus on evaluating the proactive value of AI. We need to consider what AI actually offers and what we want it to offer. It's not solely about determining whether it will cause harm; people are apprehensive about how this technology will be implemented. One perspective gaining traction involves ensuring the product's validation process is robust enough to prevent risks to various populations.” -Vladimir Manuel, Medical Director at UCLA Health From Vlad's comments above to perspectives others shared, we heard a sense of excitement for the promise of #AI and other new technologies. But we're also in a unique moment where the risks are not well understood. Still much to do here.

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I recently sat down with Michael Batko, CEO at Startmate and Founder of Puddle Pod for Episode 11 of Insane Ambition. Startmate has invested in 230+ startups, much of it under Michael's leadership, and now has $3.5b in value across its portfolio companies. In this episode, we discussed: - Michael's journey from consulting, then living in the Amazon rainforest, to leading Australia's biggest startup accelerator - The future of Australia's startup ecosystem - The labour government's very stupid plan to make it harder for people to qualify as sophisticated investors (now thankfully shelved) - Startmate City! Startmate's plan to build Australia's first startup city. Probably the most ambitious idea I've ever heard from a startup accelerator. - The balance between visionary thinking and traditional startup advice (think Elon Musk's plan to colonise Mars, vs Y Combinator's problem/customer obsession) - "The Courage to Be Disliked", and its influence on Michael's approach to life and business. Links in the description below 👇

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This is a great report from Mckinsey of what health system executives are prioritizing

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One conversation we should be having more, especially in healthcare: is this an AI problem or a policy problem? A big challenge in American healthcare stems from the reality that our healthcare strategy changes with every administration. Throwing AI at problems that are well-addressed by policy innovation (e.g., AI for payer-provider RCM war) feels like a gross misallocation of resources. Solution sets are rarely zero sum – in truth, most problems will require policy, tech, and human interventions, but it's worth asking ourselves whether AI is the best solve when we have a multitude of options.

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M13 is thrilled to lead the Series A in RadiantGraph which is focused on personalization in healthcare. As we continue to invest in early stage companies it is abundantly clear that the biggest indicator of success is the founder and his or her ability to execute on their vision of the future. In this case, I don't think I have seen much better founder-market fit than we have with founder and CEO Anmol Madan. We believe in his vision: in order to have the best patient outcomes in healthcare we need increased personalization and AI is the breakthrough to get us there. Anmol started one of the pioneering digital health companies Ginger and then was Chief Data Scientist at Livongo and Teledoc. He has done it all: early stage, late stage, public company. And he deeply understands the nuances of the healthcare market from all angles which is critical for success. While there are many players building healthcare-specific AI capabilities, RadiantGraph is focused on outcomes: The platform is already processing personalization models for more than 3.5 million people, despite launching just last year. Excited to partner with my friend Adam D'Augelli and the great True Ventures again and Morgan Blumberg who has been deep in the healthcare market with me for many years. More on our thesis in the blog below. https://lnkd.in/evDDmC3W

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Platforms are in, point solutions are out as the healthcare AI category leaders come into focus this year. In conversation with Shelby Livingston at Endpoints News, I shared: 1. Why AI-first companies have the greatest platform potential and heuristics for identifying these opportunities at the earliest stages, 2. How companies are differentiating through co-development and distribution partnerships with leading healthcare institutions, and 3. Strategies for navigating anemic budgets and constrained market sizes through business model innovation such as AI-enabled services and pay for performance models Read more here: https://lnkd.in/dJWqv_zC Bessemer Venture Partners Abridge #healthcare #lifesciences #AI #generativeAI

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I had the honor of participating in an Oxford style debate this week at the Oliver Wyman Health Innovation Summit: “Consumers Know Best, Or Do They?” As healthcare continues to evolve, the rise of consumer point solutions has promised greater convenience and affordability, allowing patients to access care in new ways. It’s exciting to see so many innovations aimed at improving the healthcare experience. However, the question posed was this: Do the convenience and affordability of these solutions deliver better access and health? Or, does an integrated approach—driven by health systems—ultimately drive better outcomes? I believe that healthcare is not just about transactions and convenience; it’s also about long-term, coordinated care for the whole person across the continuum. Consumers need partners to support them in understanding their choices. Integrated systems, like Fairview Health Services, are partners in care. And while technology plays a crucial role, there’s no substitute for the integrated systems that ensure every doctor, every specialist, and every caregiver is on the same page when it comes to the health and well-being of the people we serve. I’d like to thank my fellow debater, Laura Jensen from Amazon Pharmacy, for a thoughtful and insightful discussion on the role of consumer-driven care. There’s no doubt that together, we can find a way to merge the best of both worlds—leveraging innovation while ensuring that the human element of healthcare remains at the forefront.

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Generative AI is transforming healthcare, and we’ve only just begun to scratch the surface. 🚀 I had the opportunity to attend an insightful #HLTH2024 session featuring Daniel Yang, MD, VP of AI and Emerging Technologies at Kaiser Permanente, Parminder Bhatia, Chief AI Officer at GE HealthCare, Bianca Diana Anghelina, Founder of AILY LABS, and Rohan Ramakrishna, MD, Neurosurgeon and Co-Founder of Roon. Here are some standout insights: 🔹 AI to Alleviate the Supply and Demand Problem Dr. Yang emphasized that the traditional 1:1 clinician-to-patient model is not sustainable with the growing demand for healthcare services. "We’re not going to train our way out of this problem." AI is key to augmenting clinicians, moving toward a 1:Many model, empowering patients to self-manage their care with enhanced support. 🔹Unlocking Data to Drive Proactive Care Parminder shared that 90% of health data remains untapped. With AI, we can unlock this data to move from reactive to proactive care, improving patient outcomes and making healthcare more efficient. 🔹 Integration is Key to Success Rohan Ramakrishna emphasized the need for AI to seamlessly integrate into clinical workflows, using EHR in-basket management as an example. While AI can improve these processes, the technology still has work to do in minimizing errors and ensuring clinicians can rely on it for better patient care. 🔹 AI Enhancing the Patient Experience Kaiser Permanente's deployment of Ambient Scribe to over 25,000 doctors has not only eased administrative burdens but also improved patient satisfaction. Patients reported feeling more transparent communication and greater insights into their clinical care. This AI tool has allowed providers to refocus attention on the patient, strengthening trust in the care process. 🔹 Trust in AI is Critical Trust also continues to be a recurring theme. As Daniel Yang said, "Explainability is a proxy for trust—if we understand how AI works, we trust it." Transparency, particularly in clinical settings, is crucial to earning patient trust. Rohan Ramakrishna echoed this by stating that radical transparency is a must when deploying AI in healthcare. Generative AI presents an incredible opportunity to revolutionize healthcare, but it must be handled with care to ensure safety, equity, and ethical application. #HLTH2024 #AIinHealthcare #GenerativeAI #HealthcareInnovation #Trust #FutureOfHealthcare #BeyondtheBedside #PatientExpereince

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Here is the hard truth about building a health product: skipping early feedback from healthcare insiders and payers can cost you YEARs of time and MILLIONS of $$$. At MDisrupt we are seeing a powerful shift. More and more companies are finally prioritizing feedback from real healthcare stakeholders - a critical step in the rush to scale. This isn't a nice to have, its the difference between products that SCALE and products that FAIL. So what are we doing about it? Today we are helping clients to: 👉🏼 Get feedback from PAYERS early on, crafting a reimbursement strategy that sets the stage for growth. 👉🏼 Consult CLINICIANS ensure products align seamlessly with clinical workflows — no more “great product, but hard to use” feedback. 👉🏼 Engage HEALTH SYSTEM LEADERS to confirm that the product addresses real, pressing clinical needs. We are making it as easy as possible to find these valuable experts and engage them in hourly calls so companies can get feedback quickly. Please talk to me if we can help you with this.

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👀 HOW DO WE GET DIGITAL HEALTH TO REFOCUS ON PREVENTATIVE CARE?👀 Enter Inbal Tirosh co-founder and CEO of the incredible Livez on this week's episode!! My favorite question to ask founders is what is your founding story? Tune in to hear Inbal explain her founding story, and how they are impacting patients lives and futures! Livez is built to make preventative care easy, convenient, and reduce claims. The Livez screening solution detect 85% of preventable diseases!! Reduces a whopping 75% of healthcare claims. How do they do this? Inbal jumps into it all with me, explaining, "All together if you take every person and they get a plan of what they need to get screened for, based on their individual profile, and their specific data, you can do that with fusion of big data, and you take them on a journey to prevent their predicted risks, based on family history and their own history and so on..." Then you automatically book them with follow up appointments. This is backed by health authorities, and by large insurers! Key Points 🗝 🌐 Livez screening solution covers more than 50 clinical domains and 120 screenings and vaccines, impacting 75% of healthcare claims. Livez is a preventive health platform that focuses on holistic screening and interventions to prevent chronic diseases. 🏥 The platform helps employers and health plans prioritize the health of their population by identifying health risks and guiding individuals towards appropriate interventions. This is an absolutely fascinating conversation about the new frontier of preventative care. Get on board, and tune in to this week's episode of the Digital Health Heavyweights Podcast Also- major teaser that their pricing is FULLY at risk. Why NOT? Learn more about preventative care, and how Digital Health is continuing to evolve!

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In the last 4 years, we've seen dramatic surges and falls in healthcare private equity deals and volumes. PE investments can revitalize existing healthcare organizations and breathe life into new, innovative approaches. Read more from my colleague Troy Keach on the top PE trends emerging in 2024.

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Great blog by Tom Nolan... if you want to learn more about the differences in the #healthcare markets in the US and abroad, take a look at this part 1 of 2 post. #medtech #consulting #healthcaredelivery #purchasedservices #indirectspend

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