Sumit Singh, Independent Director’s Post

I’m invigorated by the transformative potential of Clinical Decision Support Systems (CDSS). They’re not just buzzwords; they’re intelligent companions, armed with the power of AI, big data, and machine learning, poised to revolutionize how hospitals deliver care. #hospitals #HealthTech #cdss #timussolutions https://lnkd.in/gdVzr2hM

🏥 Ask Avo in action! Find out why SUNY Downstate Health Sciences University is one of the early customers of our latest AI Consult Tool in this feature by Healthcare Innovation . Thanks so much to David H Berger, MD, MHCM for sharing his insights and for David Raths for conducting the interview. "What makes Ask Avo truly game-changing is its ability to transform the way our clinicians access evidence at the bedside. UpToDate is great for folks who have time to spend time reading up on the latest, but Avo’s utilization of cutting-edge AI technology allows hospital systems to surface relevant info to the clinician, save them time, and save the institution money. I mean it when I say this is going to change the way we approach evidence-based and personalized medicine." Check out the full interview here: https://lnkd.in/epjsA968

AI's Real-World Impact: Clinical Decision Support - MedscapeGoogle's Healthcare Strategy and the Role of AI . Recommended Reading. AAO ... Fast Five Quiz: Artificial Intelligence in Healthcare -- The Data So Far.https://https://lnkd.in/gHyT7mSB

Statistics show that AI tools significantly help medical professionals save time by streamlining various tasks. According to RadixWeb, physicians can save up to 17% of their time on administrative work, such as documentation and patient record management, thanks to AI-powered tools. These systems automate repetitive tasks, allowing healthcare providers to dedicate more time to patient care. By embracing Vantage AI, medical professionals can reduce burnout, improve efficiency, and enhance the overall quality of healthcare delivery. Discover more about the impact of AI in healthcare here. https://lnkd.in/gPqVq26v

It’s incredible to see how AI is transforming healthcare! A recent article highlights that AI tools save physicians up to 17% of their time by automating routine administrative tasks like documentation and patient record management. As someone passionate about how technology empowers medical professionals, I believe Vantage AI doesn’t just save time—it also creates room for better patient care and reduces physician burnout. Check out this insightful piece shared by Vantage AI for more details: RadixWeb - AI in Healthcare Statistics. What are your thoughts on AI in medicine? Let’s discuss below!

Retrieval-Augmented Generation (RAG) is revolutionizing healthcare information management. This AI-powered approach combines vast medical databases with generative AI to provide more accurate and contextually relevant information. A recent study by the Mayo Clinic showed that RAG-enhanced clinical decision support systems improved diagnostic accuracy by 23% compared to traditional methods. By integrating the latest medical research and patient data, RAG enables healthcare professionals to make more informed decisions, leading to better patient outcomes and more personalized treatment plans. As the healthcare industry continues to embrace AI, how is your organization leveraging RAG to enhance clinical decision-making? At Arionkoder, we're dedicated to helping healthcare providers implement cutting-edge AI solutions like RAG to improve patient care. #RAG #healthcare #AI #healthtech

"Thrilled to have had the opportunity to present on 'Machine Learning in Healthcare'! 🌟 During the session, we explored how machine learning is revolutionizing the healthcare landscape by enabling data-driven decision-making and improving patient outcomes. We discussed: - The role of predictive analytics in early disease detection, allowing for timely interventions and better prognosis. - How machine learning algorithms can personalize treatment plans based on individual patient data, leading to more effective therapies. - The impact of AI on medical imaging and diagnostics, enhancing accuracy and efficiency in identifying conditions. - Ethical considerations and challenges in implementing AI in healthcare, including data privacy and algorithmic bias. - Real-world case studies showcasing successful applications of machine learning in clinical settings, demonstrating tangible benefits for both patients and healthcare providers. Travarsa Private Limited | travarsa.com #MachineLearning #HealthcareInnovation #AI #DataScience #HealthTech #PredictiveAnalytics #MedicalImaging #DigitalHealth #PatientCare #InnovationInHealthcare #FutureOfHealthcare"

On the journey of automation in diagnostic imaging, it is exciting to see how slow we were to adopt PACS to eliminate film, but how anxious we are to explore AI to reduce physician burnout, triage to focus on the critical, and improve consistency in services.

"AI improves the quality of diagnosis for everyone and really elevates the diagnostic capabilities of general pathologists to the level of a sub-specialized pathologist…. And that's why, if done right, AI can be a huge equalizer in getting access to healthcare." - Thomas Fuchs, Co-Founder and Chief Scientist, sat down with The Peggy Smedley Show to explore how we as an industry can help AI reach its full potential for improving patient care. https://lnkd.in/eTVeA7Fy