Briya’s Post

Some interesting predictions by David Lazerson on #RWD in 2025. Watch out for some more serious disruptions coming from #LLMs, enriching the #data we can utilise to improve care. Happy new year!

Many existing #datasets have a critical limitation: their static, “frozen” nature. In a fast-paced industry like #healthcare, relying on outdated data or data that lacks context for new trends and discoveries can lead to delays, increased costs, and unrepresentative research outcomes. In this article by our VP Sales, Ruth Levi Lotan, explores the three major shortcomings of frozen datasets and how the growing demand for real-time, contextualized, and comprehensive data is transforming research, clinical decision-making, and global collaboration. https://lnkd.in/dNfPv7DM #RealWorldData #RealWorldEvidence

🌟 Key Applications of Data Science in Healthcare 🌟 Data science is transforming healthcare by providing actionable insights that lead to better patient outcomes. Here are some of the most impactful applications: 🔹 Cost Estimation for Patients: Predicts healthcare costs based on individual patient data and treatment history. 🔹 Personalized Medication: Recommends the most effective medications tailored to individual profiles. 🔹 Clustering Patients: Groups patients to discover hidden patterns and trends in diseases. 🔹 Predicting Disease Likelihood: Forecasts the risk of developing specific illnesses using data models. 🔹 Surgical Success Prediction: Anticipates patient behavior and surgical success rates. 🔹 Treatment Success Evaluation: Assesses the effectiveness of treatments, especially for hard-to-cure diseases. Data science is at the core of personalized medicine and predictive healthcare, helping professionals make smarter decisions and improve the patient experience. 👉 Follow @ElmoData for more insights into how data science is shaping the future of healthcare! #DataScience #HealthcareInnovation #HealthTech #AIinHealthcare #BigData #PersonalizedMedicine #FutureOfHealth #TechInMedicine #HealthcareTransformation

The intersection of AI and healthcare is reshaping industries globally, SAS has made some predictions for 2025. For the Australian public sector, these insights hold immense relevance. As the demand for better public health outcomes grows, leveraging AI can significantly enhance predictive analytics, streamline service delivery, and improve population health management. Whether it's optimising resource allocation, reducing chronic disease prevalence, or ensuring equitable access to care, the opportunities are transformative. How can we better integrate AI-driven innovation into Australia's public healthcare systems? I’d love to hear your thoughts! https://lnkd.in/gRCUJYHc

Sharing some of my thoughts about the digital and dynamic future or #RWD and #RWE. A world where we can provide safe, privacy reserving, access to healthcare data in a streamlined fashion, crating live dynamic datasets for research. Let me know what you think! #DDS #realworldevidance

Highlighting the importance and added value of #datastandardization for #publichealthdata!

🚀 Harnessing Predictive Analytics for a Healthier Tomorrow 🌟 Predictive analytics is revolutionizing healthcare by transforming data into powerful insights that shape future trends in healthcare delivery and clinical workflows. Leveraging historical data, statistical algorithms, and machine learning, this proactive approach is a game-changer for early risk detection and intervention. 🔍 Key Applications: a) AI-driven models identify high-risk patients early by utilizing clinical, genetic, demographic, and behavioral data, enabling personalized preventative care and chronic disease prevention. b) Early Warning Systems swiftly detect infectious disease outbreaks using data from emergency departments and public health records. c) AI-based solutions provide real-time, data-driven insights to physicians for enhanced diagnostics. 🌐 The Goal: Improving health outcomes and quality of life by predicting and managing individual health risks, advancing public health, and personalizing medicine. 💬 Let's Discuss: 1) How are you leveraging predictive analytics in your organization? 2) What challenges have you faced, and what successes have you achieved? Share your experiences and insights! #PredictiveAnalytics #AIinHealthcare #PersonalizedMedicine

Eliminate the wait and unlock the power of real-time data. Our latest blog takes a deep dive into the critical need for AI-powered data unification to amplify and accelerate clinical trial research. #clinicaltrials #realtimedata #lifesciences ➡️ https://lnkd.in/giG22tJX ⬅️