Google Health’s Post

Voice is future! When it comes to clinical documentation, a lot of effort is invested in documenting what was just discussed. 50-60% time of a clinician goes in there. Harnessing the power of "Ambient Conversation Capture" and augmenting it with LLM based summary, Clinikal AI brings time savings, with a clinician's effort cut down by close to 80%. Validated by our Medical Advisory Board, we offer the "Clinikal Toolkit" to hospitals and clinicians to adopt and gain value from.

Introducing Med-Gemini, Google's latest marvel in the realm of healthcare AI! 🌟 Imagine a digital doctor with a genius-level intellect and a heart of gold. That's Med-Gemini for you! 🧠❤️ Say goodbye to medical mysteries and hello to precision healthcare! Med-Gemini isn't just another AI; it's a game-changer. 💥 With an unprecedented 91.1% accuracy on the MedQA-USMLE benchmark, Med-Gemini is rewriting the rules of medical analysis. 📈 From deciphering complex medical jargon to simplifying treatment plans, Med-Gemini does it all with unmatched expertise. 🚀 Gone are the days of relying solely on human expertise. Med-Gemini outshines even the brightest minds in medicine, paving the way for a brighter, healthier future. 🌈💊 Get ready to witness the next evolution in healthcare. Get ready for Med-Gemini! 🌟👩⚕️👨⚕️ Steve Nouri #google #med-gemini #airivolution

😮 Did you know that medical error is the 3rd leading cause of death in the USA and drug adverse effects are the 4th? In this #NODES2023 session, Roland Haas presents the Physicians’ Brain digital twin, a holistic biomedical #KnowledgeGraph in a Neo4j Database that integrates 9 biomedical knowledge graphs. Find out how this Knowledge Graph works to achieve: 0️⃣zero medical errors 0️⃣zero patient harms 0️⃣zero medical wastes 0️⃣zero medical abuses 0️⃣zero medical frauds. #TBT to an awesome presentation: https://bit.ly/3xK5pVP Psst: You can Save the date for #NODES2024 and watch mindblowing presentations like this one here: https://bit.ly/3xVlyYj

Med-PaLM, a version of PaLM tuned for the medical domain. Med-PaLM was the first to obtain a “passing score” (>60%) on U.S. medical licensing-style questions. This model not only answered multiple choice and open-ended questions accurately, but also provided rationale and evaluated its own responses. Recently, next iteration, Med-PaLM 2, consistently performed at an “expert” doctor level on medical exam questions, scoring 85%. This is an 18% improvement from Med-PaLM’s previous performance and far surpasses similar AI models.

AI-powered summarization tools can save time and angst for hospital staff, but they can also introduce mistakes, or make things up. https://trib.al/FeLA8t0

If you haven't tried Doximity GPT yet, I'd recommend taking a look at it. They've got a lot of helpful templates for common clinical practice as well as things like writing a letter of recommendation for a med student. You can try it out here: https://ow.ly/c6gh30szKN5 During my Digital Health Fellowship, I'm getting to consult and provide feedback on tools like Doximity GPT (and others) that are aimed at enhancing clinician workflow and improve personal quality of life. Looking forward to sharing with folks the new tools we're working on. Here’s a quick demo of Doximity GPT creating a detailed patient handout in moments.

AI is everywhere and I am getting excited to announce what we have been working on (coming soon). It is NOT healthcare centric so not necessarily related to this post per se but too important not to share.    On top of absorbing all I can around AI and enterprise software (hint hint), I have also been reading about AI and healthcare and 2 topics that hit home with me - AI + spinal cord injuries and AI + Alzheimer’s.  I am watching Alzheimer’s real time and all I can say is it is brutal. Tons of focus and my hope is AI accelerates progress here.  Interesting overview of some of the work happening here specific to Alzheimer’s + AI.   https://lnkd.in/gagpbSjc Many of you probably also heard about or read about the Neuralink work happening.  A few know but I have been a quadriplegic for 30+ years now.  My injury is “incomplete” and I am beyond lucky to have lived a life since my injury that I’d like to believe isn’t much different than the life I would have had sans-injury (although in my head I would definitely have never lost to my son in basketball and I would have been a pro golfer with multiple green jackets:).  In fact July 1989 likely formed much of my approach to life and taken me places I may have never been.  The Shepherd Center was and is a magical place and this is insight into my experience there and the last few decades: https://lnkd.in/gzAXkAFw Neuralink and other work happening with spinal cord injuries, with the aid of AI in many cases, is picking up pace.  The below is incredible and I am actually lucky I’m not eligible for what they are doing yet but you can start to see a path to so many more amazing things.  AI is scary at times but wow so much good is ahead imo.  And maybe just maybe, my green jacket.

Last friday, May 24th, I had the privilege of representing Tonic App at the 30th National Congress of Internal Medicine. I talked about "Decision algorithms vs. clinical reasoning: threat or complementarity." It was rewarding to hear my talk described as passionate, as I firmly believe that conveying emotions and sensations through our words is the most effective way to embed important information in our audience's minds. This experience was a testament to the power of combining artificial intelligence with effective communication. As we explore the evolving landscape of AI in healthcare, it's crucial to ensure that these tools enhance, rather than replace, the invaluable clinical reasoning skills of medical professionals. Looking forward to more opportunities to engage in such meaningful discussions and share insights on the intersection of technology and healthcare. #HealthcareInnovation #ArtificialIntelligence #ClinicalReasoning #EffectiveCommunication #MedicalEducation #TonicApp #SPMI

Did you know that medical error is the 3rd leading cause of death in the USA and drug adverse effects are the 4th? In this session, Roland presents the Physicians’ Brain Digital Twin, a holistic biomedical #KnowledgeGraph in a Neo4j Database constructed by integrating 9 biomedical knowledge graphs. Find out how this Knowledge Graph works to achieve: 0️⃣ zero medical errors 0️⃣zero patient harms 0️⃣zero medical wastes 0️⃣zero medical abuses 0️⃣zero medical frauds. #TBT to a #NODES2023 presentation: https://lnkd.in/dUyBK6wh

Do you experience every day that your patients miss their scheduled appointments? If you don't experience this because you've already taken various measures to prevent it, congratulations! But if you're facing a high influx of patients daily and have no available slots in your medical schedules, yet your patients still miss their appointments, there's a great solution! As an advocate for healthcare process optimization, I want to introduce you to a solution that will enhance your practice and help you better manage your schedule. Implement an AI-based communication system with NLP to efficiently utilize time and resources, reduce unused capacities, and decrease waiting lists, ultimately improving your patients' experience and boosting your practice's productivity. If you are interested in optimizing your medical center and want to learn about all the benefits of such a revolutionary communication system between healthcare facilities and patients, you can contact an experts from Eniax.