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Healthcare data and analytics go far beyond decision-making about patients at the time of their care. In fact, there is a much deeper analysis based on population data, identifying trends and accessibility. To take advantage of quality data analysis, organizations must consider how to navigate away from traditional data sets and explore the analysis of some of the "less structured" data. This is where machine learning and AI become essential in identifying insights from this type of data. Luckily, we have the resources and knowledge to help with this type of analysis. If you're interested in learning more, visit our website or schedule a call with us here: https://lnkd.in/e97dtpCs

With the help of our services, analyzing your data becomes quantifiable and easier to understand. Simply put, we help your data work for you. Check out our website or send us a direct message today!

Thrilled to share the successful completion of my live data science project: "ML for Hospital Efficiency: XGBoost, Cleaning, Predictions" with HiCounselor! 🚀 In the realm of healthcare analytics, the power of data to enhance patient care is truly transformative. I delved into critical metrics like Length of Stay (LOS) and leveraged advanced machine learning techniques to optimize treatment plans. 📊 Using meticulous data cleaning and XGBoost, I was able to make accurate predictions that can significantly improve hospital efficiency. 🏥 This project reaffirms the incredible impact that data-driven insights can have on the healthcare industry. 💡 #DataScience #HealthcareAnalytics

Throwback Thursday: Evolution of Health Data Science 🔙 This Thursday, let's journey back to the roots of health data science. From its humble beginnings, relying on basic statistical tools, the field has grown into a powerhouse of advanced analytics, machine learning, and big data technologies. Reflecting on the evolution, we see how data-driven decisions have transformed healthcare. The shift from traditional methods to predictive analytics has revolutionized patient care and public health strategies. Let's celebrate the milestones and advancements that have shaped health data science into what it is today. #HealthDataScience #ThrowbackThursday #EvolutionInHealthcare

Inovalon INOvators: New episode Hear from one of our most seasoned data analysts, Christie Teigland, Ph.D., on the ever-growing value of healthcare data. From applications of AI in data analytics to groundbreaking research with the potential to impact policy and plan design to the value of data analytics in addressing health equity – the value of data in action is clear. Watch the full episode here: https://ow.ly/7pZq50QsIhi #datadrivensolutions #dataanalytics

If you haven't realized it, yet, the long-standing separation between #data, #analytics, and #applications is disappearing. If you're not onboard, yet, or you want to see how some in are breaking down those silos, check out this Snowflake Accelerate #Healthcare and #LifeSciences webinar: https://lnkd.in/gVf78wiv

Our instrumented healthcare platforms capture a wealth of patient and operational data, but the insights from these have been locked behind teams of data analysts or complex data visualization tools. That's where our ePulseAI Data CoPilot comes in. Leveraging modern Generative AI, we have broken down the barrier to enable operational leaders to get immediate answers to their business questions. Want to know how your wait times are trending? What are your biggest cost drivers? What customers are saying about your services? Or what are your at-risk population groups? Just ask Data CoPilot! Your data never leaves your IT environment, and we have solved concerns around data and IP leakage to ensure HIPAA and PIPEDA compliance. Don't let your data go to waste. If you have a problem that you think the latest Cognitive Service and AI tools could solve, let’s talk! #GenerativeAI #data #digitalhealth

By combining research with #AI and real-world data, scientists can improve clinical trial design, enrollment, and retention. Read this Q&A with Oracle Life Sciences’ Michael Fronstin to learn how platforms like Oracle Health Data Intelligence can make a difference. https://lnkd.in/gwT4xztG

Transform your healthcare data management with Emids EPulseAI Data Co-Pilot! With Generative AI, Data Co-Pilot empowers operational leaders with immediate, actionable insights so that you can eliminate the delays and complexities of traditional data analysis. From analyzing wait times to pinpointing cost drivers, Data Co-Pilot handles it all while adhering to HIPAA and PIPEDA standards. Don't let valuable insights slip through the cracks. Discover how Emids Data Co-Pilot can empower you in ways beyond your imagination. Explore the possibilities with us today! https://bit.ly/4byO0y8 #GenerativeAI #DigitalHealth #DataSecurity #HealthcareInnovation

From the confusing industry terms to obscure mechanisms, data science doesn't have a strong history of transparency. But we want to change that. In this blog post, you'll get a quick primer on three basic concepts of applying data science in healthcare: 1. Statistical modeling 2. Cyclical processing 3. Asking why Read it now: https://lnkd.in/gF6DBS8K