Could an AI heart scan change how we approach preventative health, especially for women? This Mother's Day month, HeartFit Clinic is offering half-price AI heart scans to help understand heart attack and stroke risk. Understanding individual risk factors is crucial, especially given the prevalence of heart disease among women. It's an opportunity to gain deeper insights into personal health and well-being. Curious if anyone else has explored AI-driven health assessments? Would love to hear your thoughts on preventative healthcare strategies. #AIinHealthcare #HeartHealth #WomensHealth #PreventativeCare #HealthTech

Comet is a new form of healthcare intelligence designed to help clinicians, health systems, and patients make more informed decisions. By predicting what is likely to happen next in a patient’s journey, Comet estimates risk of disease, length of stay, treatment outcomes, and more. Comet has learned from more than 100 billion patient medical events to calculate likely futures. The story: https://lnkd.in/gf9YZcUS The paper: https://lnkd.in/e8kXKpSG

This is a significant leap forward in clinical decision-making. For too long, our healthcare system has been reactive, but technologies like Comet are fundamentally shifting the paradigm to proactive and predictive care. Being able to accurately forecast a patient's journey doesn't just optimize resources for health systems; it directly leads to better patient outcomes. Giving clinicians the power to see what's likely to happen next is the difference between prevention and intervention. Excited to watch how predictive intelligence becomes the new standard of care.

Fantastic work from Epic with the creation of Comet, new form of healthcare intelligence conceived to help clinicians, patients and health systems to predict the patient outcomes and risk and then make informed decisions. I have a few questions: - If its potential is confirmed in US health systems where it was designed using its data for training , is it valid for other countries and other ethnicities? - How accurate are these predictions? - Can this approach create unnecessary fears and anxiety among healthcare professionals and patients? - Who/What will be accountable when a medical error was made due to this system?

Epic’s new CoMET (Cosmos Medical Event Transformer) models mark an important step for generative AI in healthcare. Trained on 115B medical events from 118M patients across 310 health systems, these Transformers demonstrate predictable scaling laws and deliver strong results across 78 diverse clinical tasks — without fine-tuning. Key takeaway: generative event models can simulate realistic patient trajectories and outperform specialized models (e.g. 30-day readmission prediction, AUC 0.77 vs. 0.72). Still, translation into practice will depend on prospective validation, subgroup analysis, and handling data quality variation. The potential is clear — so are the challenges.

What if we could see the next step in a patient’s journey before it happened? As we prepare for our Epic transition, I have been reflecting on how we use data. Tools like Comet show what is possible when information becomes insight and foresight. It is exciting to imagine how far healthcare intelligence can take us in improving care and outcomes. #Epic #HealthcareInnovation #QualityImprovement #InfectionPrevention #EMRIntegration #PatientSafety

Epic’s new CoMET models are an exciting step forward for generative AI in healthcare. Training on 115B+ medical events across 118M patients and outperforming specialized models in 30-day readmission prediction (AUC 0.77 vs. 0.72) highlights the potential of large-scale event transformers. I’m especially interested in how these models balance scalability with interpretability and how prospective validation and subgroup analysis will shape their clinical impact. #DataScience #OrlandoHeath #HealthcareAI #PredictiveAnalytics #Readmissions #GenerativeAI

Comet built within Epic Cosmos takes full advantage of blending real-time and historical data to guide patient care.

https://lnkd.in/dUhGzrDQ "Diabetes is not just a medical condition—it’s a global public health challenge impacting more than 422 million people worldwide." In Chapter 1 of his educational video series, Dr. Yash Patel, Diabesity Consultant, explores the fundamentals of diabetes: what it is, why it develops, and why raising awareness is essential. This series is created for patients, families, and healthcare professionals who want to gain a clearer understanding of diabetes and learn how to manage it effectively. Dr Yash Patel Swasthya Diabetes Care Hashtags: #DiabetesAwareness #DrYashPatel #HealthEducation #DiabesityCare

Effective care for obesity, diabetes, and hypertension means knowing: ✅ When to intervene 🤝 What support is needed 🔄 How to coordinate across conditions ⚡ How to adjust dynamically, in real time We use clinical + claims data to segment populations and guide care decisions—not guesswork. That’s the benefit of being a true medical practice, not a coaching platform. Want to see how we scale personalized care? https://lnkd.in/eX3ZBxsd