Mohammed Iqbal

This 👂 podcast episode and insight’s from a16z Bio + Health's Julie Yoo spoke so clearly to the fundamental challenge facing both 🩺 clinicians and 🏥 healthcare systems.  There is a huge disconnect between supply, in the availability of clinicians, and demand, in the increasing volume and complexity of healthcare needs. -     36% of physicians plan to reduce their hours next year according to the AMA -     48% of physicians reported feeling burned out in a 2024 Medscape survey At the same time, the demographic baby boomer bubble and steady increase in the prevalence of major chronic disease, which consumes up to 90% of healthcare expenditures according to some estimates, is driving demand. With this context, Yoo points to a major opportunity for AI adoption in healthcare in 2025. Yeah, a VC hyping a wave of new AI companies that will replace the decades of training and experience of clinicians, the skeptic would say.  But Yoo is thoughtful in pointing to the role AI can play, and is already playing, through solutions such as ambient, autonomous scribe solutions (of which local star Abridge is leading the pack) in not replacing, but freeing up productivity for clinicians. There is so much unstructured context in both the complexity of disease and treatment options and the social/emotional considerations that we shouldn't be looking for AI to *replace* clinicians. But companies are getting better at finding the structured, repetitive and time-consuming places where AI tools can *help* clinicians. Nearly two-thirds of doctors cited bureaucratic tasks as the leading contributor to burnout. Rigorously trained-AI driven solutions can be a force multiplier for clinicians, and I’ve seen several interviews where nurses and doctors go as far as to say some of these solutions are ”restoring their joy in practicing medicine”. Our health is precious; and we rightly want any technology engaging with it to be developed thoughtfully and thoroughly tested. This requires top AI talent and diverse and realistic training data. Pittsburgh’s strengths in both areas is why we are an emerging hub for data-driven healthcare. #AIinhealthcare #clinicianburnout #healthinnovation #digitalhealth

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I always read Rock Health's digital health reports as they give a nice pulse feel for what is happening in the digital health funding space. Good to see funds raised in H1 2024 suggest funding in the sector seems to have stabilized at 2023 levels. Its no surprise the report emphasis the buzz around AI and healthcare. There have been clear winners in the AI healthcare space in the area of process and cost optimization and the R&D space. The impact of AI in care and treatment delivery is so far much more muted. One area I never though to look at AI was in its ability to bring together multiple healthcare pathways and digital point solutions into a more holistic seamless experience for the patient. There is a clear trend away from using stand alone digital health point solutions, and could AI address this challenge by facilitating the efficient integration of disparate processes and technology into unified care programs. I can see this happening with digital health products but this will be more tricky to do with physical care programs involving clinicians and HCPs. “AI is helping us combine multiple parts of the care journey, across all care experiences. In the future, benefits navigation, clinical guidance, and care delivery won’t be delivered by separate companies or point solutions within the healthcare ecosystem. They’ll be features that work in concert within products, and they’ll happen in under 90 seconds for a seamless patient experience.” – Glen Tullman, CEO, Transcarent and Managing Partner, 7wireVentures

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Read how StoryMD is transforming patient engagement by changing the way patients view their health data, empowering them to understand, engage, and take control.

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-In Q1 2024, U.S. digital health startups raised $2.7 billion across 133 deals, reflecting a decrease from previous quarters -AI-led digital health firms drew significant attention, securing $1.1 billion, representing 40% of the quarter's total funding -Despite a challenging economic landscape, the focus has shifted towards startups that demonstrate strong outcomes and value for investment, emphasizing the importance of solid performance metrics over mere growth potential. #digitalhealth #healthcareai #venturecapital

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A whirlwind of activity last week at the America's Physician Groups conference. Lots of solid insights shared by health system leaders. Some notable thoughts: +++ Artificial intelligence is intelligent in different ways: By now, we all know ai has a diverse set of use cases, incorporated in different applications and tools. But there are fundamental differences in how the intelligence itself is brought to life. Examples include: - Predictive AI, used to forecast future outcomes by leveraging historical data. Shout out to UCLA’s CKD/ESRD early intervention protocol (Joycee Berin) and Diagnostic Robotics’ intelligence care post-dicharge journeys (Kira Radinsky) - Protocolized AI, used to automating a user’s administrative load by using a set of detailed, pre-defined rule sets. Thanks to ARC for sharing their experience using Elaborate 's automated outpatient lab summaries (Manish Naik) - Generative AI, used to create new content. Great overview of ambient documentation at MGB as well as Cedars’ Sinai talking through its medical ontology model powering acute triage (Caroline Goldzweig) Across system leaders and experts, there was clear agreement that the first step to implementing intelligence intelligently is defining the ‘jobs to be done’. That way, internal and external stakeholders are clear on what they're solving for when they architect the solution.  +++ Scaling AI takes time and rigorous observation: Market leaders describe a phased pilot approach that allows clinicians to build confidence and system leaders to measure ROI before deploying systemwide. Loved hearing Rebecca Mishuris outline MGB’s novel approach of piloting two solutions against one another, to pressure test implementation, workflow, and value creation. +++ Proving ROI continues to be challenging: Lots of vendors using lots of different metrics to prove value, but the majority of leaders agreed that estimating the ROI of these new tools today is part science, part art. Demonstrating the ROI of the “soft” metrics around provider burnout and retention seemed to be a big opportunity, especially for investment in more efficient primary care and PCP wellbeing. After all, PCPs drive referrals to specialty-level care (and higher reimbursements) for health systems. Appreciated Anurang Revri's overview of how working team setup can also impact ROI estimates. +++ Value-based care = tools + humanity: VBC will require not only implementing tools to support clinical documentation, risk capture, upcoding, etc, but also humanizing interactions to engage patients. Countless examples, but one that made me smile was a depression focused chat bot responding in the following interaction: - Context: post-discharge check in Bot: Hi Freida, how are you feeling today after your surgery?  Patient: I’m having a tough time, am in a lot of pain.  Bot: Well, it can’t be that bad, I’m sure it will get better with a positive mindset!    🤣 🤣 🤣 Can't wait for next go-around!

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Redesign Health has launched its largest fund to date, securing $175M to support over 20 new healthcare startups. Founded in 2018, the venture builder has previously incubated more than 60 companies, including Scriptology and Vivid Health. The new fund aims to address challenges such as healthy aging, interoperability, and expanding sites of care. This funding underscores investor confidence in tackling the $4T healthcare market's persistent challenges.

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There is a misconception emerging that AI agents will lead to immediate reductions in healthcare labor costs. While AI agents can automate end-to-end workflows such as booking appointments, answering basic patient questions, and performing form completion for prior authorizations, automating a single task is not equivalent to automating an entire job. Nurses are a prime example. Certain nursing tasks, such as care coordination and patient documentation, are highly automatable by AI agents; however, there is a tremendous amount of work nurses perform on the ground that cannot be fully automated with current technologies such as direct patient care, physical examinations, medication administration, wound care, patient support, and clinical assessments. These nuances make full role elimination less likely with current technologies. When articulating the ROI of an AI agent, we need to be both precise and accurate. Automating a task is more often not automating an entire profession. For roles that encompass many functions, such as nursing, AI agents can be invaluable tools for unburdening staff, increasing efficiency, and boosting throughput—benefits that are particularly valuable given current healthcare staffing and resource shortages. The most promising job candidates for full role elimination through AI remain positions with monolithic task structures, of which there are relatively few in healthcare today—scribes, medical coders, and data entry specialists for example. It is therefore unsurprising then that the most progress has been made in these categories.

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This is quite incredible to see. Very few #CMMI demonstrations can point to any savings at all. And “…MSSP savings go further than savings generated by Medicare Advantage…” #ACO #VBP #Primarycare #MSSP #healthcareinnovation

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Did you know that 50% of infertility cases are related to male-factors? Loved this conversation with Reza Amin, PhD, discussing #menshealth and learning about Bastion Health. Technology can improve healthcare and close healthcare gaps for everyone! Check out the stats below on #menshealth. - with Michael Mann, MHA and Suzy Engwall #healttech #menshealth #HLTH #PHFMN

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Drop In Venture Funding To Black-Founded Startups Greatly Outpaces Market Decline Chris MetinkoGené Teare February 27, 2024 Venture funding to Black-founded U.S. startups last year totaled only $705 million — marking the first time since 2016 that the figure failed to even reach $1 billion, Crunchbase data shows. The decline in capital to Black-founded companies greatly outpaces the overall decline in startup funding. While total venture dollars in the U.S. fell 37% last year, funding to Black-founded startups dropped a staggering 71%, according to Crunchbase data. Last year’s total investment in Black-founded startups in the U.S. marks the lowest amount since such startups raised only $582 million in 2016. The drop in total dollars also meant Black-founded startups received their lowest share in the venture market since at least 2016, per Crunchbase. Black-founded startups received less than 0.5% of the $140.4 billion in venture funding all U.S.-based startups received last year. In 2021, Black-founded startups received 1.4% of all U.S. venture funding. In 2022, it was 1.1%.

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Oral health is critical for emergency medicine. +76M patients did not have dental insurance in 2021… estimated +91M by end of 2023 #Medicare and #Medicaid patients are vastly under insured when it comes to dental benefits. For those patients, the emergency room serves as the only access point to get help. ED physician turned entrepreneur, Ramon R. Lizardo, MD, and his team at #Tele911 are addressing this issue head on… …and building a #Repeatable, #Monetizable, #Scalable business while at it. How? Our conversation below gets into the details.

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Interesting to see that digital health funding is relatively stable. Only a couple of exits. I think we'll see more deals like DarioHealth's acquisition of Twill, since from a sales perspective, the narrower the solution, the more difficult it is to acquire customers. This difficulty has nothing to do with the quality of offerings, but with the data management and administrative complexity on the customer side.

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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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It was a pleasure being on Peak Human Labs Podcast! Thanks Sanjeev Goel MD for a great conversation on how neurofeedback can help with mental and physical health! #podcast #sharing #digitalHealth #functionalMedicine

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AI in healthcare? LIVEMED Telehealth™’s framework on deploying AI effectively has guided the innovation of VIRTUALIS™ and is fuelling their rapid growth in US telemedicine. It is so refreshing to be supporting a company solving real issues in such an innovative but pragmatic way. #telemedicine #healthcare #virtualcare #healthtech

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Imagine swallowing the competition whole. That's what many players in tech do via roll-up strategies, gobbling up smaller firms to deliver richer solutions and amass greater market share. Where else are roll-up strategies common? // HEALTHCARE Picture being a patient at a medical practice that’s been part of a roll-up in Healthcare Services. It's an industry ripe for roll-ups due to its fragmented nature and potential for greater efficiency. // CONSUMER SERVICES Or let's say you needed your HVAC serviced, and notice your local repairman is now part of a bigger Consumer Services entity? Centralized management and scale economy turn these localized businesses into roll-up targets. // FINANCIAL SERVICES Think about your insurance agent or wealth management advisor. They're working in complex, highly regulated environments. In the Financial Services sector, roll-ups offer an effective way to consolidate expertise, streamline operations, and enhance customer offerings. // MANUFACTURING Now, imagine driving past factories under a new name — the result of Manufacturing and Industrial Services roll-ups. Bulk purchasing reduces costs, enhances production capabilities, and expands geographical footprints. // REAL ESTATE Lastly, envision your real estate brokerage firm. The industry sees roll-ups as a strategic move to increase market penetration, enhance service offerings, and hike up portfolio value. Roll-ups play a huge role in most industries, rather like a snowball rolling downhill, gaining momentum, and size. Are you seeing roll-ups in your sector or considering M&A?

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Digital health isn't just about apps and wearables. It's about rewiring our neural circuitry for wellbeing. Join me on Charmhealth's podcast as we explore the frontier of brain-based behavior change. #DigitalHealth #NeuroscienceRevolution https://lnkd.in/gTFka44P

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Here's another fundraising roundup spotted in the healthcare wilds 👀 🍃 ✅ Sword Health raised $130M (new valuation: $3B). ✅ Better Health raised $14M to deploy expanded payer partnerships. ✅ Alzheon, Inc. | Preserving Future Memories raised $100M Series E to advance development & commercialization of its Alzheimer’s treatment. ✅ CinRx Pharma raised $73M to continue its ‘Hub and Spoke’ model of startup formation. ✅ Eko Health raised $41M to scale AI-driven heart and lung disease detection. ✅ Anterior (formerly Co:Helm) secured a $20M Series A to unlock admin efficiencies for healthcare payers. ✅ SamaCare raised a $17M Series B to scale specialty drug prior authorization platform. ✅ Plenful secured a $17M Series A to streamline pharmacy operations with AI-powered workflow automation. ✅ Grayce raised a $10.4M Series A led by Maveron amid a caregiving crisis. ✅ Stitch Employment Services Inc PEO raised $8.75M in seed to support independent medical practices. ✅ Posterity Health secured $6M to fund expansion and technology acceleration. ✅ Sware raised $6M to accelerate life sciences innovation by automating FDA-mandated software validation. ✅ Keragon raised $3M, as announced in @Conno Christou’s LinkedIn post. As always, if I missed you, let me know! Each week I'm spotlighting an innovative healthcare startup. I just ask for a bit more transparency. All submissions are confidential; submit yours here 👇 https://lnkd.in/gF4DrAvJ Looking for more fundraising roundups, alongside healthcare industry news and analysis? Subscribe to Hospitalogy, my 2x/week newsletter. Join 33K+ other investors, executives, and healthcare professionals: https://lnkd.in/g-nfRqW6

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