River Records’ Post

✨ 𝗩𝗼𝗶𝗰𝗲𝘀 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜: 𝗧𝗼𝗽 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗶𝗻𝗴 𝗣𝗵𝘆𝘀𝗶𝗰𝗶𝗮𝗻𝘀 𝘁𝗼 𝗙𝗼𝗹𝗹𝗼𝘄 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 🌟 At #CHARGE, we’ve spotlighted Chief AI Officers and Health AI attorneys shaping the governance of health AI. Today, we turn our attention to practicing physicians - a critical yet often-overlooked group directly engaged in patient care, where the true impact of AI tools will be felt. Tasked with integrating these technologies into their workflows, they offer a boots-on-the-ground perspective on how AI can improve outcomes and where it may fall short. Their insights keep us focused on creating AI tools that truly enhance patient care while addressing real-world challenges. That’s why we’ve put together this list of 𝗧𝗼𝗽 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗶𝗻𝗴 𝗣𝗵𝘆𝘀𝗶𝗰𝗶𝗮𝗻𝘀 𝘁𝗼 𝗙𝗼𝗹𝗹𝗼𝘄 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻: • Adir Sommer, MD- Ophthalmology resident at Rambam Health Care Campus, and co-developer of the #OPTICA framework for clinical AI, published in NEJM AI. • Aditya (Adi) Kale - Radiology fellow at NIHR with specific focus in AI and patient safety. • Amit Kumar Dey - Diabetes specialist, founder of #Doctors_AI, and advocate for clinical AI adoption. • Annabelle Painter - GP registrar at NHS, CMO of Visiba UK, and host of the Royal Society of Medicine Digital Health Podcast. • Benjamin Schwartz, MD, MBA - Orthopedic surgeon and a digital health advisor. • Eric Rothschild, MD - OB/GYN and advisor writing on healthcare and AI intersections. • Graham Walker, MD - Emergency Physician and AI innovation leader at The Permanente Medical Group, Inc. • Jacob Kantrowitz - Primary care physician at Tufts Medicine and co-founder and CMO at River Records. • James Barry, MD, MBA - Neonatologist and NICU director at UCHealth, and co-founder of #NeoMIND_AI. • Jesse Ehrenfeld MD MPH - Anesthesiologist, American Medical Association immediate past president, and advocate for health AI policy. • Josh Au Yeung - Neurology registrar, Dev&Doc podcast host, and clinical lead at TORTUS. • LUKASZ KOWALCZYK MD - Gastroenterologist and consultant for health AI development and strategy. • Morgan Jeffries - Neurologist and Associate Medical Director for AI at Geisinger. • Piyush Mathur - Anesthesiologist at Cleveland Clinic and co-founder of BrainX AI. • R. Ryan Sadeghian, MD,- Pediatrician and CMIO The University of Toledo, applying AI to clinical practice. • Shelly Sharma - Radiologist advancing AI applications in radiology. • Spencer Dorn - Vice Chair of the Department of Medicine University of North Carolina at Chapel Hill and AI thought leader. • Susan Shelmerdine - Radiology professor and AI advisor at The Royal College of Radiologists. • Tina Shah MD MPH - Pulmonary physician at RWJBarnabas Health and CCO of Abridge. • Yair Saperstein, MD MPH - Hospitalist at Mount Sinai Health System and founder of Avo.

Over the past few years, the world has woken up to the astonishing potential of AI, which can help enhance clinical practice and optimize the use of limited health care resources. Ontario hospitals are seeking to understand these, exciting new opportunities. After repeated use of an AI model, Mandy Rickard, Nurse Practitioner in the Urology Clinic at The Hospital for Sick Children, could analyze ultrasounds more efficiently, ultimately reducing the need for invasive scans and illuminating a previously undescribed impact of AI in clinical settings. Rickard performs and analyzes kidney ultrasounds almost daily and cares for up to 100 children a month with hydronephrosis, a condition caused by a urinary tract blockage that can result in kidney obstruction. While analyzing the ultrasounds, Rickard looks at the degree of hydronephrosis and other characteristics that may suggest an obstruction that needs to be operated on. She also oversees an AI model developed to predict the severity of hydronephrosis cases and help providers identify appropriate care pathways. Over time, Rickard found that she was able to anticipate the AI model’s behaviour and intuit how it would categorize an ultrasound. In new research published in the NEJM AI, a peer-reviewed journal from the publishers of the New England Journal of Medicine, the research team noted that Rickard's improved ability to interpret kidney ultrasounds was a direct result of her repeated exposure to the AI model. Over a three-year period, Rickard reduced the number of children with hydronephrosis sent for invasive nuclear scans from 80 to 58 per cent. Read more about this research: https://lnkd.in/gbf2AN-P #hospitalresearch #AIresearch

"The testing of AI in medicine is a mess. Here's how it should be done" That is the article just in Nature by Mariana Lenharo publised on August 21, 2024. Here are the key points: > The testing of AI in medicine is currently inadequate and poorly regulated 1. Few developers are publishing comprehensive clinical trial results for AI medical interventions. 2. Only 65 randomized controlled trials of AI interventions were published between 2020 and 2022. 3. Regulators have approved hundreds of AI-powered medical devices without rigorous clinical validation. > Several issues complicate the testing of AI in medical settings 1. Human-AI Interaction: The effectiveness of AI tools depends heavily on how healthcare professionals use them. 2. Population Differences: AI systems can be sensitive to differences between training data populations and real-world patient populations. 3. Consent and Disclosure: There's uncertainty about how to inform patients about AI use in their care and obtain proper consent. 4. Regulatory Standards: Current approval criteria for AI medical devices are often less stringent than those for drugs. > Some initiatives to properly test AI in medical settings 1. Hypotension Prediction: A clinical trial at Amsterdam University Medical Center tested an algorithm predicting low blood pressure during surgery. Patients with the AI intervention experienced a median of 8 minutes of hypotension compared to 32.7 minutes in the control group. 2. Heart Condition Detection: Mayo Clinic tested an in-house algorithm to detect low ejection fraction, which increased diagnosis rates. > Several important factors in AI medical testing 1. Human Factors: Proper training and clear protocols for healthcare providers are crucial for AI tool effectiveness. 2. Alert Fatigue: Overexposure to alerts can desensitize clinicians, affecting AI tool efficacy. 3. Bias and Generalizability: AI algorithms may not perform well in settings different from their training environments. 4. Patient Consent: There's ongoing debate about how to inform patients about AI use in their care. > Several initiatives aimed at improving AI testing in medicine 1. Centralized Testing: The Coalition for Health AI proposes creating a network of health AI assurance laboratories for standardized evaluation. 2. Local Validation: The Health AI Partnership aims to build capabilities for organizations to test AI models locally. 3. Comprehensive Evaluation: Some experts advocate for measuring the accuracy of AI tools in combination with their end users, not just the AI alone. In conclusion, while AI shows promise in medicine, there's a pressing need for more rigorous, standardized testing protocols to ensure safety, efficacy, and ethical implementation across diverse healthcare settings. Read full article here: https://lnkd.in/gr9TzrsM Follow 15minAi for more updates in AI!

Just a 40-Min Chat with an Urology Center Just hopped off a call with a healthcare center. On a mission to shake up the urology world. Piecing together a cutting-edge practice with... a lineup of #urologists and #nurse practitioners. ↳ NEED? On the hunt for an EMR system that really gets their vibe. They spilled the beans on EMR systems... Saying most are either missing the mark on features or costing an arm and a leg. What they're really after? Sth that plays nice with #Epic and makes life a breeze. ↳ WORDS? Here's what I heard straight from them: "We've looked at a bunch of different EMRs and... a lot of them do some of what we want them to do. There's none that do everything that we want. And a bunch of them do stuff we don't need." ↳ BARRIERS? Get this: they're not just scouting for plug-and-play. They're aiming to craft their own EMR... Dialed in to exactly what they need, and They're even thinking of some AI to... Up their game in efficiency and decision-making. ↳ WAY OUT? Once done a brief Q&A, here's what it turned out: We chewed over the idea of a patient portal and... A mobile app that could make the check-ins a breeze, Offer up custom notes, and ramp up patient involvement. All that nailed with customization to ditch support fees. ↳ PROCESS Here's a speedy rundown of how things shaped up: I was all in, sharing how custom #EMRs could help... Scale their urology centre ops without money drain. We talked product design, found ways to sync up their crew Nailed down the features, sketched the UI, and kicked off. ↳ MORAL? It's wild to see how tech is redefining #healthcare... and giving orgs the tools to serve up top-notch care. Can't wait to ride along with them on this adventure and bring their big picture to life. --- Resonates? Repost ♻ 📌 PS - Navigating the healthcare tech maze and have tangled with EMR headaches? I'm all ears. Just DM me.

#HealthcareTrends 🔬 👉 Poland ranks last in the World Index of Healthcare Innovation 2023 💣 An engaging article has appeared shedding light on the current state of radiology in Poland, with insightful opinions from doctors and the medical community.... (link below). 🚨 AI in radiology is a necessity due to patient influx and radiologist shortage. 📉 Critical deficit of radiologists in Poland. 🏥 Ongoing healthcare crisis and insufficient support. 📊 AI's potential to enhance diagnostics and preventive care. 🧑⚕️ Need for investment in medical education and retention. 🌍 Migration of doctors exacerbates workforce issues. ⚙️ AI supports, not replaces, radiologists. Current Challenges in Polish Radiology: Poland's healthcare system faces a critical shortage of radiologists and other key specialists. There are significant gaps in areas such as internal medicine, pediatrics, and obstetrics-gynecology. The popularity of specialties like geriatrics and general surgery is also declining, potentially leading to hospital department closures. Key data points highlight the healthcare crisis: ➡️ 720,089 employment in healthcare (2022), public sector: 384,058, private sector: 336,031. ➡️ 15,000 Polish doctors are working abroad. ➡️ 3.4 doctors per 1,000 residents in Poland (OECD average: 3.7). Radiology is crucial in modern medicine, with about 80% of diagnoses being made or confirmed through imaging studies. However, despite the availability of advanced radiological equipment, the shortage of specialists limits their effective use. Currently, there are around 4,300 radiologists in Poland, a number insufficient to meet the growing demand for radiological exams. AI can revolutionise radiology by assisting in decision-making, analysing medical images, and identifying pathologies. AI is not intended to replace radiologists but to support them. Automating routine tasks can speed up diagnosis and treatment, reduce human errors, and enhance medical data management. Investing in the future to address the specialist shortage: ➡️ Medical Education: Increase investment in training and working conditions. ➡️ Retention: Improve working conditions to keep young doctors in Poland. ➡️ Infrastructure: Expand access with mobile screening centres and community health centres. Full publication available here: https://lnkd.in/d6fGgGSM (in Polish). Follow 👉 DoctorMe.co 👈 to discover how we are voicing doctors' perspectives on AI and its impact on healthcare. Visit our site 👉 DoctorMe.co/en 👈 and sign up for a newsletter for medical professionals. Join the community of progressive doctors to stay ahead of the future of medicine with AI. #radiology #healthcareinnovation #AIinMedicine #DoctorMe #PolishHealthcare #medicaleducation #preventivehealth #futureofmedicine Source: https://lnkd.in/d6fGgGSM

It’s an exciting time to be involved with Remote Patient Monitoring because clinicians and organizations, such as the American Medical Association, are advocating for ways to improve patient care between office visits. Here's an article on new proposed billing codes that could give doctors more flexibility and reimbursement for RPM programs.   #orthopedics #remotepatientmonitoring #patientexperience #proactivecare #ORTHObesity

Hospital CEOs and CFOs love data and ROI. Patients love access to safe and timely care near home. Care teams love engaged and satisfied patients. Communities love financially viable hospitals. I was part of a productive strategy session with the VirtuCare leadership team yesterday. Here is one of the takeaways that we celebrated: "The financial benefits of the VirtuCare model are significant. A CEO of a national hospital system with locations in nine states reported reduced cost of care and increased volume and revenue since implementing the VirtuCare model for urology. The CEO reported, "Who would have thought that not employing a full-time urologist would provide high-level surgical care by board-certified urologists for more than 95% of the cases and increase our ambulatory procedures and surgical volume in the OR?" We have many of these testimonials from executives working hard to meet the needs of patients in their communities and stay solvent. Yet, we often hear from hospital executives that rural and CAH hospitals with long-standing urologist vacancies need 24/7 coverage. In many cases, the vacancy is for their sole urology position. The absence of a urologist often leaves patients without care, leading to delayed treatment or long-distance travel for relief. The VirtuCare model has significantly improved this situation. Once a patient travels outside their community hospital for care, the leakage (no pun intended) is costly as they often lose faith in their local hospital. The job postings for urologists grow daily, and turnover is high. The hybrid model of care provided by VirtuCare is like a JIT inventory system; care optimization, standardization, seamless coordination, and no waste. I love these conversations with hospital executives as a former hospital and medical group leader and patient advocate. I am happy to talk to anyone interested in the VirtuCare surgical model. 🌟 #surgicalservices #patientaccess #ruralhospitals #urology #innovativecaredelivery #physicianretention #moralinjury #healthcareonlinkedin #content

𝐋𝐚𝐭𝐢𝐧 𝐀𝐦𝐞𝐫𝐢𝐜𝐚 𝐓𝐞𝐥𝐞𝐡𝐞𝐚𝐥𝐭𝐡 𝐌𝐚𝐫𝐤𝐞𝐭𝟮𝟬𝟮3–𝟮𝟬30. 𝗚𝗹𝗼𝗯𝗮𝗹𝗦𝗶𝘇𝗲, 𝗗𝗲𝗺𝗮𝗻𝗱,𝗮𝗻𝗱𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁.   𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝗳𝗼𝗿𝗦𝗮𝗺𝗽𝗹𝗲𝗣𝗗𝗙: https://lnkd.in/e9BqZsWH Telehealth, or teleconsultation, utilizes digital communication technologies, such as computers and mobile devices, to provide and oversee healthcare services remotely. This approach encompasses delivering medical care, health information, and educational resources through virtual platforms.   While telehealth offers numerous benefits, its expansion faces obstacles, particularly due to limited access in rural areas. However, innovations in telerobotics, a growing pool of specialists offering remote consultations, and enhanced healthcare access for underserved communities are anticipated to propel market growth. Nonetheless, concerns around patient data privacy and security continue to present critical challenges for the industry.   *𝐁𝐲𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭: Services, Hardware, Software.   *𝐁𝐲𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Psychiatry, Radiology, Cardiology, Primary Care, Dermatology, Remote ICU, Other Applications   *𝐁𝐲𝐄𝐧𝐝 𝐔𝐬𝐞𝐫: Healthcare Providers, Patients, Healthcare Payers, Other End Users   *𝐊𝐞𝐲𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Aerotel Medical Systems, AMD Global Telemedicine, Inc., Cerner Corporation, Cisco., MDlive Inc. (U.S.), Koninklijke Philips N.V. (Netherlands), and Medtronic.   #LatinAmerica #Telemedicine #Teleconsultation #Telemonitoring #TelehealthServices #TelehealthTherapy #RCHTelehealth #TelemedicineGrowth #Psychiatry #Radiology #Cardiology #Primaryare #Dermatology #Remote #ICU #Healthcare #DigitalHealthcare #HealthcareIT #RemoteMonitoring #Medical #MedicalDevice