Who's headed to #APGSpringCon24? Our CEO (and renowned data scientist) Kira Radinsky will be speaking alongside industry luminaries Matthew Solomon and Yale D. Podnos to set the stage for the future of complex care in their session, “AI on the Front Lines: Improving Outcomes and Reducing Costs for Complex Patients.” And be sure to stop by and say hello to our team, CJ Elbogen and Jeff Hancock, who will be there with a fun little giveaway for the strolling dinner on Thursday! Will we see you there?
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Data Expert and Consultant | Helping data leaders achieve peak success on their data teams so they can prioritize, execute, and get noticed by leadership like never before.
Episode #1 of Making Data Matter is out! Troy and I sat down with guest Joe Squire - Director of Analytics & Data Science at UPMC. We discuss: -> How Joe transitioned into data after beginning his career as a nurse. -> Partnership with business areas to improve and align outcomes. -> Uses and adoption of AI among data professionals. -> Ways AI can improve healthcare access and outcomes for patients and more. Listen in: TheData
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In the part 3 of the series, CTOs discuss with Anthony Malakian how to balance discussions on genAI in board meetings, highlighting the need for system and data governance before starting genAI projects. Read now: https://hubs.li/Q02lcbXW0 #GenAI #Techcommunity #CTOinsights
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Dear Medicaid State Leaders and Vendor Partners, we look forward to seeing you at the MESC in Louisville next week! If you are contemplating how to remove existing data silos, improve integrity of your data, and position your Medicaid agency for advanced analytics and AI, you don't want to miss this session! Please join us to hear directly from two esteemed state IT leaders - Hugh Hale and Brandon Lewis - about their experience with implementing centralized data ecosystems in Tennessee and West Virginia. #mesc2024 #dataecosystem #advancedanalytics #AI
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Gunnar De Winter recently posted on data fetishization (didn't think you'd read that term today, did you?). I thought to add a healthcare spin to it. 🤔 "We and Our Data Fetish" challenges our obsession with data. In #patient care, we are growing obsessed with data points (often for good). But is node gathering helpful? Do we learn about real experiences, real people, real pain? I'm pro-data, but isn't there nuance lost when we boil people down to claims and EMR stories? Is that really a patient journey? 🔍 Key Inflections: - Data without context = Dystopia in disguise. - Patient care is more than just collecting metrics. - Basically: Not everything that matters can be measured, and not everything measured matters! #HealthcareData #PatientCare #BeyondNumbers For more insights, see the substack https://lnkd.in/eXzb_5p7
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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
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🥳 Hooray, I just received the new issue of Nightingale, the Journal of the Data Visualization Society! From the official summary: “This issue of Nightingale magazine explores how we design with emotion, how much emotion should be in our data viz, and what kinds of emotions we should draw upon. This issue is packed with insights and ideas about the emotions we feel in our careers as we learn, as we succeed, and as we explore and experiment. It also includes a special section on GenAI featuring experts who can help us process our feelings towards this new technological era”. I quickly leafed through the magazine and there were so many interesting and beautiful things in it. Can't wait to read all the articles in more detail. #Datavisualization #Dataviz #Nightingale
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🔍 Exciting News: Revolutionizing Healthcare with Machine Learning! 🤖 Hello everyone, I'm thrilled to share a project I've been working on: Liver Disease prediction using Machine Learning. 🩺 Stay tuned for updates as I dive deep into the world of data, algorithms, and healthcare to make predictions that could save lives. 🩺 Let's harness the power of technology for a healthier future! 🚀 #MachineLearning #HealthTech #DataScience #LiverDiseasePrediction #StayTuned #TechInnovation #HealthcareAI #ArtificialIntelligence #PredictiveAnalytics #MedicalAI #HealthcareTech #AIinHealthcare #DataDrivenHealthcare #HealthTechTrends #InnovationInMedicine #MedicalResearch #TechForGood #AIResearch #DigitalHealth #HealthData #AdvancedAnalytics #HealthcareInnovation #MachineLearningModels #MedicalDiagnosis #HealthcareSolutions #AIHealthcare #TechForHealth #MedTech #HealthcareAnalytics #DiseasePrediction #PredictiveModeling #HealthcareRevolution #FutureOfHealthcare #EmergingTech #MachineLearningAlgorithms #BigDataInHealthcare #MedicalAdvancements #AIApplications #PredictiveHealthcare #PublicHealth #MLforHealthcare #HealthcareAIApplications #ClinicalAnalytics #HealthcareTransformation
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If you are a Florida Agency, make sure you stop by our booth to learn how IPC Global and Qlik can help enable your #AI and #Analytics efforts. From Data ingestion, quality to tangible outcomes, Predictive Models, decision making insights and much more. #govtech
This event was rescheduled as the community of Tallahassee recovers from tornados and thunderstorms; our prayers are with you. That said, we are going to support the community by attending the rescheduled date so visit IPC Global and Qlik on May 29th to see how we can address your agencies' or institutions' complex #data challenges. Find out how we are helping others modernize their data fabric and use AI and Analytics to transform. Register here: 👉 https://lnkd.in/gzAtWgfN #govtech #digitaltransformation
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One of the things that attracted me to join Cornerstone AI was a brilliant and empathetic technical team trying to solve a frustrating problem for other technical people like themselves. In other words, they had lived with the problem of data cleaning first hand, therefore, hand in mind the various aspects and workflows required to address the problem effectively. One of those folks is PJ Allen, who wrote a short piece called the "Essential Guide to Healthcare Data Prep". It outlines a brief step-by-step approach and provides pointers when working with a dataset for the first time. Tagging a few leaders of tech/sci teams, Daniel C. Lane, PharmD, PhD, MBA, Kimberly Wilson, Kaushal Desai, Danielle Bargo, Charles Kreilick, MBA, Denise Globe, Sunil Dravida #datacleaning #realworlddata #dataprep
The Essential Guide to Healthcare Data Prep — Cornerstone AI
cornerstone.ai
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