Yuri Quintana, PhD, FACMI’s Post

Australian #HealthTech company Harrison.ai is making waves with the launch of Harrison.rad.1, a #radiology-specific vision language model designed to revolutionize medical image analysis. 🏣 🔹 The launch comes at a time when healthcare systems worldwide face a shortage of radiologists and pathologists, leading to longer wait times and potential errors. Harrison.ai believes #AI can help address this challenge by scaling up diagnostic capacity. 🚀 The model will undergo further evaluation and Harrison.ai plans to make it commercially available for various use cases. This could involve other organizations building solutions on top of their technology. It definitely has the potential to improve patient outcomes, increase access to healthcare, and revolutionize the way radiologists work. #digitalhealth #healthcareinnovation

A huge shoutout to Nick Iannoni and his amazing team at Intermountain Healthcare! 🎉 Intermountain has been recognized as the second-highest ranked healthcare provider for AI innovation and analytics leadership in the U.S., making major strides in transforming healthcare through data. 📊💡 From improving patient outcomes to streamlining hospital operations, the work being done at Intermountain is setting new standards for how AI and data analytics can elevate healthcare experiences. This recognition is well-deserved, but we’re not stopping here—Mayo Clinic, we're coming for that top spot! 🚀 In healthcare, data isn't just about numbers—it's about changing lives, and Intermountain is leading the way. Read more about how Intermountain and other top hospitals are leading AI innovation: https://lnkd.in/dKA9m4xd #Healthcare #AI #Innovation #DataAnalytics #Leadership #HealthcareTransformation Nick Iannoni Austin Walsh, MSHI Joyce Gottbetter Ian Morrison Howard Haile, MBA, CISSP, CCSP Dan Liljenquist Andrew Merrill Laurie Hindson John Barto Dainon Haggard Nidhish Dhru Prabodh Menon Steven Beal Archana Mehta Marcin Jimenez Brian Oatis Michael Beiene Casey Frankenberger

Fraser Health Authority and Deloitte Canada ‘AI-Driven Physician Scheduling Solution and Workflow Optimization’ is one of nine Canadian health projects to receive $21 million in funding to pioneer the deployment of AI solutions from SCALE AI | Canada's AI Global Innovation Cluster. There are three initiatives: two will leverage patient analytics from various electronic medical records to forecast volume demands coming to the emergency and medicine departments and assist leadership in pre-determining broader staffing requirements. A third will take the forecasted patient data and match it with business rules, such as patient-physician ratios, to create a baseline schedule with advanced analytic capabilities to generate multiple scheduling scenarios. “We are excited to be co-developing these AI tools. These partnerships are essential to drive innovation in our health system to solve some of our most challenging problems.” Jennifer MacGregor #Anthony Viel #DigitalTransformation #PatientExperience #HHRWorkflowOptimization https://lnkd.in/gjpcVg9M

Underserved communities can benefit from the transformative capabilities of artificial intelligence. AI-powered solutions are enhancing healthcare delivery by improving diagnostic accuracy, enabling remote patient monitoring, and more. For instance, Aidoc's AI-driven diagnostic tools are revolutionizing radiology by quickly and accurately analyzing medical images. This allows for the early detection of conditions like strokes and brain hemorrhages, which is particularly beneficial in regions lacking specialist radiologists. Another impactful solution is the application of AI in telemedicine. Babylon Health's AI-powered platform provides virtual consultations and health assessments, making quality healthcare accessible to those in remote or underserved locations. This approach not only addresses the shortage of healthcare professionals but also ensures that patients receive timely and effective care. AI is also enhancing maternal healthcare in underserved areas. The organization LifeBank uses AI to predict blood shortages and optimize blood donations and deliveries, ensuring that hospitals in remote regions have the critical supplies needed for maternal and emergency care. These examples highlight how AI is revolutionizing healthcare delivery, making it more accessible and efficient for underserved communities. Continued innovation and implementation of these technologies will help build a more equitable healthcare system for all. #HealthcareInnovation #AIinHealthcare #DigitalHealth #RemoteMonitoring #HealthcareForAll #HealthTech #UnderservedCommunities #FutureOfMedicine

Get a glimpse into the key themes and predictions shaping this year’s HLTH USA. HIT Consultant Media reached out to digital health executives for their expert perspectives, including Medicomp’s James Aita, director, Strategy and Business Development.   “Of course AI is the hot topic at HLTH this year–but with the new regulations from ASTP/ONC, the question is how can it be usable, trustworthy, transparent and helpful. I’m also interested in seeing who else is making AI and clinical data helpful at the point of care to reduce the burden on clinicians and inform patient care.”   Read more insights: https://bit.ly/489zOKV | #HLTHUSA #HLTH2024 #FHIR #ClinicalDecisionSupport 

Are you ready to implement AI in your healthcare organisation? AI isn’t just a tool of the future. It's revolutionising patient care today. Prevention, diagnosis, palliative care, wellbeing for the elderly…the list of areas that have seen improvements goes on. Learn how leading healthcare organisations are paving the way for AI integration and how you can, too. Read the full article: https://bit.ly/49D0t1U

The last two months have been challenging for my family. Between my son being diagnosed with an autoimmune disease and my own health issues, we spent half of our time in hospitalized, navigating doctor appointments, and managing endless medical bills. While no one would choose to spend their summer and fall season this way, the experience grounded me, providing a deeper understanding of the complexities within the healthcare system and highlighting the transformative potential that artificial intelligence (AI) could bring to the industry. 🙌 I am incredibly grateful to Stanford Hospital & Clinics Stanford University School of Medicine for the exceptional care we received.   Universal Access to Health Records One of the biggest frustrations is the lack of connected health systems. Each hospital or clinic has its own login system, leading to disjointed care. AI could facilitate universal access to medical records, allowing patients and doctors to securely access important health data through a single portal. Currently, 30% of healthcare organizations still lack interoperable systems, creating barriers for patients in accessing seamless care. Although EPIC has allowed some integration, it remains limited. Global Reach of AI in Healthcare While 86% of healthcare executives believe AI will transform healthcare, its usage is still limited. Expanding AI's reach to underserved populations could significantly improve health outcomes across continents. Improved Diagnostics Misdiagnosis affects up to 12 million Americans annually, and my own experience with diagnostic errors has reinforced this issue. AI-driven tools can analyze data from millions of cases worldwide, potentially improving diagnostic accuracy by up to 30%. AI could reduce guesswork, enabling doctors to make better-informed decisions. Additionally, 30% of healthcare resources are wasted due to inefficiencies, much of which stems from a lack of data integration and interoperability between health systems. This waste could be reduced by improving how electronic health records (EHRs) and other health IT systems communicate.However, the lack of interoperability still poses challenges, such as incomplete data sharing and technical limitations that affect patient care quality and safety. 🩺 From my own experience, it’s clear that if there’s one industry where AI can profoundly impact humanity, it’s healthcare. Whether it’s improving diagnostic accuracy, reducing inefficiencies, or providing universal access to health records, AI has the potential to not just improve efficiency but also save lives. 🔎 Call to Action: How do you see AI reshaping healthcare in the next few years? Let’s discuss! Drop your thoughts below ⬇️ #AIinHealthcare #HealthcareInnovation #PatientCare #Grateful #TechForGood #AIForHealth #FutureOfHealthcare #DataDrivenCare #AIforDiagnostics #HealthAI #TechInHealth #SmartHealthcare

The HIMSS 2024 conference in Orlando, Florida, was abuzz with conversations about artificial intelligence (AI), signaling a shift towards AI-centric healthcare solutions. Amidst discussions on AI safety and guidelines, healthcare leaders were keen on understanding practical applications. Here are the key takeaways from the event 👇 1) Innovative Solutions: Companies like Oracle Health and Google showcased their latest AI offerings, with HCA Healthcare reporting positive results from collaborations utilizing AI-powered clinical documentation tools. Physicians expressed satisfaction with the time-saving benefits of these AI solutions, indicating a promising start in AI integration. 2) Clinical Documentation Revolution: Stanford Health Care's adoption of Microsoft's Nuance-powered DAX co-pilot platform highlighted the potential for AI to streamline clinical documentation processes. While acknowledging the tool's transformative impact, healthcare leaders emphasized the need for organizational buy-in despite its cost. 3) Human-Centric AI: Michael Pencina of Duke Health emphasized the importance of maintaining human oversight in AI systems to mitigate concerns about machine dominance. This perspective underscores the critical role of humans in ensuring AI complements, rather than replaces, human expertise in healthcare. 4) Hospital-at-Home Model: The concept of "hospital at home" gained traction, with healthcare systems like Atrium Health and Mass General Brigham advocating for its adoption. Technology vendors showcased home-care solutions, reflecting a shift towards patient-centered care delivery. 5) Cybersecurity Imperatives: In the wake of the Change Healthcare ransomware attack, cybersecurity emerged as a top priority for healthcare executives. The incident underscored the urgent need for robust cybersecurity measures to safeguard sensitive patient data. 6) Digital Transformation: Mayo Clinic outlined ambitious plans for a fully "digitized" hospital campus, envisioning seamless supply chain management and predictive resource delivery. This vision reflects a broader trend towards digitization and automation in healthcare delivery. It's evident that AI's integration into healthcare is not just a trend but a transformative force shaping the future of healthcare delivery and management. You can view the link to the full article by Becker's Healthcare here: https://lnkd.in/gz6Y_57k #healthcareinnovation #healthcaretech #CTO #CIO #artificialintelligence #AI

As artificial intelligence is providing greater utility in healthcare, is it time to align these causes rather than view them as opposing forces? Validated AI may significantly enhance healthcare by improving diagnostics, fostering widespread adoption of personalized medicine, as well as reshaping various other facets of patient care.   The American Medical Association terms this technology 'augmented intelligence' rather than ‘artificial intelligence,’ emphasizing its role in supporting, instead of replacing, human decision-making.    At PreciseDx, we recognize the vital role of AI-based tools in working alongside the cancer care team. Termed ‘Quantitative AI™’, we offer an assistive technology that informs care team decision-making. By harnessing this validated and published AI platform, we aim to empower healthcare providers with advanced diagnostic capabilities and personalized treatment insights to improve patient outcomes and drive innovation in healthcare.   A recent report by the AMA explores the transformative potential of augmented intelligence in healthcare and provides practical guidance for physicians using AI-based tools. Explore the full report here: https://lnkd.in/dVewapnj    #AugmentedIntelligence #PersonalizedMedicine #HealthcareInnovation #TissueIsTheIssue

In a new feature for MedCity News, Edifecs CTO Sundararaman Shenbagam explains how the #healthcare industry can successfully apply #healthcareAI—and why data accuracy and #interoperability are ideal places to start. https://lnkd.in/e-AaiVef #healthtech