Rajeev Ronanki

Elon Musk’s xAI, Which Just Raised $6 Billion, Has Significant Potential To Disrupt Healthcare via Sai Balasubramanian, M.D., J.D. "The most obvious entry point for xAI is similar to what other large, technology companies are attempting to do: increase task automation, improve clinical workflows, and optimize clinician productivity. Technology giants are investing billions of dollars creating and training foundation models so that they can easily fit into the day-to-day healthcare workflow."

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AI is only as good as its input and training data, as well as the questions we ask of it. When we build new systems, it’s easy for existing limitations to elicit a suboptimal solution for a diverse population. #aihealthcare #aihealthequity #healthequity #ai #datadisparity #healthdisparities

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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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Wearable tech in patient health management? Justin A., Fellow of the American College of Health Data Management explores the transformative potential in a forthcoming article! #HealthDataManagement #WearableTech #PatientCare #DigitalHealth #HealthTech. "

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AI algorithms analyze patient data from various sources, including electronic health records, wearables, and genetic profiles, to identify patterns and predict health outcomes. This enables healthcare providers to offer personalized recommendations and interventions aligned with individual needs and preferences. Discover how AI algorithms analyze diverse patient data to enhance personalized healthcare. Read our latest article here - https://buff.ly/49LpvMm #personalizedhealthcare #AIwellness #healthtechinvestments #AIinhealthcare #personalizedtech #healthcaresolutions #AItechnology #marketdemand Subscribe to the Evolving HealthTech newsletter here: https://buff.ly/44pGPE0

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AI and data go hand in hand, wouldn't you agree? On the podcast, Dimitry Tran, co-founder and CEO of Harrison.ai, highlights the crucial importance of health data – coining it "the new uranium." The delicate nature of health data means that once its primary use is complete, many are hesitant to utilise it further. However, AI cannot function without data. The key is to handle this data with caution, ensuring it can be refined into something that supports AI and drives healthcare innovation. 🎧 Listen to the full episode to hear Dimitry delve into the detail: https://lnkd.in/eq-f2DjD #heathtech #digitalhealth #thehealthtechpodcast #podcast

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Newest episode of #HealthAndVeritas with guest, Mitesh Rao, MD, CEO of OMNY Health talking about democratizing access to healthcare data and improving health through more reliable information. Harlan Krumholz talks about "The business case for quality: estimating lives saved and harms avoided in a value-based purchasing model" an article in Health Affairs Scholar that returns us to the uncomfortable domain of asking why our "system" doesn't do more to save lives and improve health outcomes. I talk about Marijuana. I am concerned that we are watching a slow moving catastrophe due to the desire to decriminalize and reduce controls over Cannabis and THC-containing products (which is good) while paying too little attention to quality and regulations. Listen to the pod and tell me what YOU think. And please post your comments, tell a friend, and rate and review us on your favorite podcast app. Yale School of Management Yale School of Public Health Yale School of Medicine https://lnkd.in/ezj8qVqy

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The WHO has long been a proponent of using digital health to drive greater health equity across emerging and less developed markets. It also sees AI in healthcare potentially playing a similar role by leveraging limited available resources to deliver healthcare to patients. There are some common themes covered in the article that align closely to Peach Health Asia's ideas about using digital health products to drive greater health equity in Asia. The strongest of these is the use digital health tools to expand the use of current healthcare resources, allowing 'more to be done with less'. The helicopter view of 'let's use AI' is a good starting point to approach the health equity problem in emerging markets The challenge of course rests in translating that idea into reality which is complicated by language barriers, technology savviness of both HCPs and consumers, liability and patient data security issues just to name a few. Building the right AI tools are important but figuring out how to get these tools deployed at scale in emerging markets is likely to be the bigger barrier. This has certainly been the same challenge that has tripped many players in the digital therapeutics space in developed world markets. Challenges aside, there is no denying the potential beneficial impact of AI on the healthcare space and while these challenges may take some time to solve they are certainly worth working on. #healthequity #digitalhealth #digitalhealthcare

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Another great report summarizing #VCFunding for #ClinicalAI companies and the growing medical imaging AI landscape. 💡 2023 Funding Raised: $626.7M Number of Deals: 33 Average Deal Size: $19M Clinical AI is an established and growing market. 🔎 Since 2015 Funding Raised: $5.3B Companies Funded: 198 Deals Completed: 563 Median Funding per Company: $6.8M Median Deal Size: $2.1M Key Take Aways from Ellie Baker at Signify Research Ltd ➡ Vendors required to demonstrate revenue potential and provide a clear path to ROI. ➡ Signify Research expecting some deal volume to be low as many vendors reporting 2024 & 2025 the year they breakeven. ➡ 2024 Funding Rounds generated have been Seed/Series A investments Signify Research provide deep market intelligence around AI in Medical Imaging. https://lnkd.in/gVjn7p2C

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Can't agree enough - while we need to address considerations around consent, trust and effective commercial models (e.g. the recent proposals by the Tony Blair Institute for UK NHS data - https://lnkd.in/eSPE_RFW), challenges around fragmentation, curation, and interoperability as Artur describes, won't solve themselves. In part, we need to recognise the skills and effort (from industry, researchers, and providers) needed to make this happen.

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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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Innovating in healthcare is hard, and one of the biggest hurdles digital health companies face is outmoded regulations. Thanks to MedCity News for sharing my views on why 21st century care delivery requires 21st century regulations. 

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🌟 A Better Future: Greater Trust of Generative AI in Healthcare 🌟 Just released: My latest Forbes blog, where I share thoughts on some surprising statistics that were revealed in a recent survey from Deloitte. For all the upside that generative AI will offer to patients, consumers, and organizational stakeholders, we must respect the crucial cornerstone of trust. As AI and generative AI are pouring into healthcare biggest challenges and needs, how it lands matters. We need to respect that patients are at the center of care and related transactions. Setting the right foundation is extremely important and wholly necessary. And in my latest blog, I share 6 strategies to help healthcare organizations who will be utilizing generative AI. #Trust #GenerativeAI #ForbesBlog #FutureOfHealthcare

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LSI, BioscienceLA, #LAMedtechweek, and HLTH's #VIVE2024 event resulted in the latest GTM Pulse Check offering which has successfully taken off! As a result, I am continuing on last week's series of go-to-market tactics. Crafting a robust marketing plan is essential for medical device companies to thrive in today's world. By leveraging these outlined sections, organizations can optimize their marketing strategies and drive meaningful impact.This post takes a step back to outline the sections of a marketing plan. Read on 👇🏼 Looking for support in creating your marketing plan?  Let’s chat! Book here 👉🏼 https://lnkd.in/g92YA9WK _____ P.S. Enjoying my content? ⚕️Follow me for more tips on medical device commercialization and repost to share with your network. #medtech #gotomarket #medicaldevices #healthcareinnovation

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Generative AI in Healthcare: Opportunities and Challenges: Generative AI is increasingly integrated into healthcare, led by tech giants and startups. Google Cloud, Amazon AWS, and Microsoft Azure are developing tools for patient care and data analysis. Startups like Ambience Healthcare and Abridge are advancing generative AI apps for clinicians. However, skepticism remains regarding its readiness: Mixed Opinions: While investments soar, only half of US consumers see the potential for improving healthcare accessibility and affordability. Limitations and Errors: Concerns arise over generative AI's ability to handle complex medical queries and emergencies, highlighted by studies showing high error rates in diagnostic tasks. Ethical Considerations: Generative AI's potential to perpetuate biases and exacerbate healthcare disparities is under scrutiny Future Prospects: While challenges persist, there's optimism for generative AI's role in areas like medical imaging and administrative tasks, provided rigorous science and governance ensure patient safety. In light of evolving regulations and ethical considerations, the widespread implementation of generative AI in healthcare requires careful evaluation to ensure patient well-being and industry trust. https://lnkd.in/euFtkbqs

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Manually entering patient data into your EHR? Duncan McGillivary explores how AI is revolutionizing healthcare, offering solutions that break free from clunky EHRs and deliver more efficient workflows. Check out our latest #AnsaOpenSpaces. #healthcare #AI #EHR #clinicianempowerment

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🎙️ Exciting Announcement! I'm thrilled to introduce our brand new podcast, Best Ideas Win Podcast, where we dive deep into the transformative world of #HealthcareAI, creativity, and imagination to help you find your #BestIdeas for innovation! 🌟 For our inaugural episode, my partners Brian Paradis, Eric Eskioğlu, MD, MBA, FAANS, and Ryan Paradis and I are joined by none other than Tom Lawry, the visionary physician, consultant, speaker, and author renowned for his insights into innovation and building the digital healthcare system of the future. 🌐 👉 Why should you tune in? We're unpacking the secrets to successful strategies and exploring how creative ideas are shaping the future. Whether you're a business leader, an innovator, or just someone curious about the next big thing in #HealthcareInnovation, this podcast is for you! 🔗 Click here to listen to the first episode! https://lnkd.in/gUi878ys Let's kickstart a journey of ideas, inspiration, and ingenious insights. Make sure to subscribe and join us on this exciting adventure. Can't wait to hear your thoughts and takeaways in the comments below! 🎧 👀 Don't forget to like, comment, and share if you're as excited as we are about this journey into creativity and innovation! #TheBestIdeasWin #Innovation #Strategy #PodcastLaunch #CreativeLeadership #TomLawry

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