Katya Hall

Just finished the course “Root Cause Analysis: Getting to the Root of Business Problems” by Sam Yankelevitch! Check it out: https://lnkd.in/e5Fmjmjg #businessanalysis #rootcauseanalysis.

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These data science podcasts are fantastic, keep up the good work Bill Franks! In this episode my friend & TAG Data Governance Society Board Member Nathan Ghadirifard provides perspectives on healthcare analytics. #KSU📚 #GoOwls🦉#AI🧨 #VicianaData🔥

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Great insight by my colleague David Devine 🚀 Transforming Healthcare with Data Analytics 🚀 The North American healthcare analytics market is projected to soar to $11.4 billion by 2023, up from $3.13 billion in 2018. Despite this growth, many healthcare providers are still catching up with the advancements seen in other sectors, such as medical devices and payers. Key Highlights: Real-Time Decision Making: Leveraging basic patient data to make immediate care decisions. Predictive Analytics: Using machine learning to predict and reduce hospital readmissions, saving billions annually. Combating the Opioid Crisis: Data tools are crucial in monitoring e-prescribing practices and integrating with state prescription drug monitoring programs. Future Strategies: Moving beyond traditional data sets to include less structured data, such as genomic and social data, for a comprehensive analysis. Healthcare leaders must think, plan, and act differently to harness the full potential of data analytics. By advancing data strategies and focusing on both structured and unstructured data, we can transform patient care and outcomes. Let’s embrace the power of data to create a more efficient, patient-centric healthcare system! 🌟 https://lnkd.in/ebu35PAh #Healthcare #DataAnalytics #MachineLearning #AI #BigData #HealthTech

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The FDA recently released guidance on the use of EHR and Claims based RWD to support regulatory decision-making. The guidance points out the weaknesses of using claims and EHR data alone to support RWE. I put together the following “thought exercise” to examine what data sources would be necessary to create a “complete” RWD asset. Overly simplistic? Useful Framework? Missing key data sources? I would welcome your opinions. https://lnkd.in/e-YAauhT #RWD #RWE #RegulatoryGradeData #FDA_guidelines 

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The Secret to Driving AI Impact Isn't in the Algorithms – It's in the Execution. Over my 10 years in the AI/ML industry, leading teams at IBM Watson, Centene Corporation, and Datavant, I've seen one common thread that separates successful AI initiatives from failures: It’s not just about having the smartest data scientists/MLEs or the most cutting-edge algorithms – it's about bridging the gap between AI potential and business value. Here’s what I've learned about translating AI into real business impact: 1. Start with the Problem, Not the Tech Too often, I see companies enamored with the latest AI trends without a clear understanding of the business problem they aim to solve. The most successful projects I’ve led started with a well-defined pain point. AI is only effective when it’s solving a real, high-priority issue. 2. Build a Cross-Functional Team AI isn't just for data scientists. You need domain experts, product managers, and operational leaders who understand the intricacies of your industry. When I led a project that saved a healthcare company millions, it wasn’t just AI magic – it was a collaborative effort between our tech team and healthcare professionals. 3. Establish a Robust MLOps Framework Early Deploying a model isn't the finish line – it's just the beginning. One of the proudest achievements in my career was building an MLOps platform that allowed my team to monitor, iterate, and scale models efficiently. This ensured our solutions adapted as the business evolved, rather than becoming outdated and irrelevant. 4. AI Governance is Non-Negotiable Data privacy, ethical considerations, and transparency are not just buzzwords. Establishing an AI governance framework should be a top priority. When I implemented AI governance at scale, it not only safeguarded us from potential risks but also built trust with stakeholders, accelerating AI adoption across the organization. 5. Communicate the Value to Non-Technical Stakeholders One of the biggest challenges in AI leadership is getting buy-in from non-technical stakeholders. Early in my career, I struggled with this, but now I focus on framing AI outcomes in terms of revenue, cost savings, or customer experience improvements. This shift in communication led to multiple successful AI initiatives gaining executive sponsorship. 💡 Pro tip: Stop obsessing over “explainability” in purely technical terms. Instead, illustrate how the model’s insights translate into actionable business strategies. I’d love to hear your experiences – what’s the biggest challenge you’ve faced in implementing AI? How did you overcome it? #AILeadership #AIExecution #MLOps #BusinessImpact #AIProductManagement

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The shift towards value-based care is transforming how patient care is delivered and CMS is continuing to increase the the adoption of these APMs (alternative payment models). Your Health is continuously leveraging data from multiple sources, to give us the insights to deliver the most precise, timely and valuable care to our patients. Are you a payor looking to reduce overall costs while improving quality outcomes and people's experience of care? #healthcare #primarycare #yourhealth #VBC

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Here is the latest piece in the IIA Accelerating Your Data Innovation Journey (AYDIJ) series. In this piece, we shift focus from the hospital to how research informatics is powering the ecosystem of care. I want to express gratitude to Phil for sharing his wealth of knowedge and experience. This is an excellent piece, and I am sure you will enjoy it. #AYDIJ #datainnovation #healthcareanaltyics #researchanalytics https://lnkd.in/gUz44ezb

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Healthcare and life science data and analytics leaders are increasingly influencing the strategic direction of organizations. Dive into the 5 major impact areas of emerging technologies, and how they are shaping data, analytics and AI initiatives. Gartner for IT | #GartnerDA #GenerativeAI #GenAI

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Check out this new article from Terri LeFort on how the integration of clinical governance into every phase of a #HealthIT project can set a #healthcare organization up for a successful #DigitalTransformation, help address current enterprise-wide challenges, and steer the course toward a healthier future.

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The cloud is no longer just a destination – it is an operating model for the future. Redox helps you unlock Snowflake's promise and mission to improve healthcare and life science outcomes. Learn more about our new technology partnership all around interoperability and real-time, actionable data. https://lnkd.in/e4ttrsU3

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Oracle Health's upcoming #AI-powered #EHR system aims to revolutionize #healthcare delivery by embedding AI across its functions. What’s especially interesting is the integration of Oracle Health Data Intelligence, which will give clinicians real-time, #PersonalizedCare recommendations based on individual patient profiles. Read thoughts from Nordic Global’s Polly Parrent on how the new EHR could reshape market dynamics, streamline workflows, and advance #PatientCenteredCare.

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The insights shared by Tony Farah, MD in this Google Cloud report highlight the power of AI to tackle one of the biggest challenges in healthcare: administrative burden. By streamlining tasks like prior authorizations and enabling clinicians to focus on what truly matters—patient care—we’re not just improving processes; we’re empowering healthcare workers and enhancing outcomes. This is why AI is so important. It’s about innovation with purpose: removing barriers, driving efficiency, and creating a more seamless and personalized healthcare experience for all. Proud to be part of this journey where technology meets human-centered care. And privileged to be part of transforming healthcare at Highmark Health. #AIinHealthcare #GenerativeAI #Innovation #HealthTech #Leadership

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Leigh McCormack shares her insights on AI model drift in this Data Nerds in the OR episode! Her perspective aligns with how we at Caresyntax focus on maintaining data integrity across the surgical journey. It’s a great reminder that AI models need constant monitoring to remain safe and effective, especially as their role expands in clinical settings.   Learn more here: https://lnkd.in/gDSKJXfk   #AIinHealthcare #DataScience #Caresyntax

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Artificial intelligence solutions have been all the rage in healthcare. But where can #AI provide a real benefit? If you’re ready to improve your prior authorizations process, reach out to SAS! We’re helping organizations manage cost, improve workflows, and streamline prior auth. #Healthcare

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I thoroughly enjoyed presenting today at the Beckers CEO/CFO Roundtable with Ilir Zenku. I believe it's value added for CEOs and CFOs to hear CIO challenges and how we can partner with them for solutions. Our topic was the digital patient experience, and we shared our philosophy how we use technology to enhance the patient experience. Sometimes, even it is something small such as the IT Department inclusion with our interactive customer evaluation system to address challenges our patients have with technology and the patient portal. The inclusion allowed me to know what challenges our patients are facing and from there we have a strategy to help patients work through some of their issues. Thoughts? How do you incorporate patient feedback into digital initiatives?

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Behavioral health concerns — including stress, depression, anxiety, alcohol and substance use — are on the rise. As some members struggle to find behavioral health access, see how Optum can support plan sponsors and guide them to quality, affordable care. Download the full e-book: http://spr.ly/6046sPlL8

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