Jake J. Schutz

The recent 2024 Society for the Advancement of Patient Blood Management, Inc. (SABM) Meeting was a remarkable experience. During the presentation 'Where #PBM meets Artificial Intelligence - Today and Tomorrow,' Guilherme Rabello highlighted how PBM can integrate #AI into its framework. On the flight home, our team realized the need to better utilize AI in building our #Anemia awareness platform infrastructure. The results were eye-opening: our AI model showed that over 60% of nurses and executives experience anemia symptoms like fatigue, weakness, and headaches. It surprised us how many PBM categories our symbol covers, and public awareness, driven by our Red Bloodless Anemia Logo, directly engages the public and aligns with our mission. Our anemia symbol acts as a bridge, allowing stakeholders to benefit from increased public engagement. Healthcare providers can identify anemia early, hospitals can adopt better PBM protocols, and companies will see improved workplace health. Public health organizations will use the engagement to expand outreach, while AI and health tech innovators can collaborate to enhance anemia detection and PBM processes. We hope you become more confident from the data that our initiative deserves a chat about the future of PBM and the benefits that are within our reach. We'll continue to share more data in the future. Let’s work together in this important area of health. #AnemiaHealthyData join us.

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Newest episode of #HealthAndVeritas with guest, Mitesh Rao, MD, CEO of OMNY Health talking about democratizing access to healthcare data and improving health through more reliable information. Harlan Krumholz talks about "The business case for quality: estimating lives saved and harms avoided in a value-based purchasing model" an article in Health Affairs Scholar that returns us to the uncomfortable domain of asking why our "system" doesn't do more to save lives and improve health outcomes. I talk about Marijuana. I am concerned that we are watching a slow moving catastrophe due to the desire to decriminalize and reduce controls over Cannabis and THC-containing products (which is good) while paying too little attention to quality and regulations. Listen to the pod and tell me what YOU think. And please post your comments, tell a friend, and rate and review us on your favorite podcast app. Yale School of Management Yale School of Public Health Yale School of Medicine https://lnkd.in/ezj8qVqy

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🌟 AI's Pivotal Role in Fueling Behavior Change 🌟 Check out this insightful article by Forbes Tech Council discussing the pivotal role of AI in shaping the future of digital health and driving positive behavior change for better health outcomes. The article highlights successful implementations of AI in increasing an app’s meditation adoption twelvefold, and meditation frequency threefold—leading to better sleep outcomes. I often tell digital health companies…you don’t really want to compete for time against the major social apps with your healthcare products. Patients want to get in and out as quick as they can, and to do that, give them a seamless experience. But…if you can make the experience a little more engaging and dynamic with AI then they may stay a little longer. What’s your thoughts on using AI for behaviour change? 🔗 Read the full article here: [The Future of Digital Health: AI's Pivotal Role in Fueling Behavior Change for Better Health Outcomes](https://lnkd.in/gswhx9q9) #DigitalHealth #AI #Healthcare #FutureTrends #BehaviorChange #ForbesTechCouncil

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🌟 Generative AI and Healthcare Transformation: A New Era of Innovation 🌟 I am constantly asked about #AI applications for healthcare transformation. I continue to take people back to the pain points or problems being solved. The healthcare industry is undergoing a significant transformation, driven by the integration of generative AI. This revolutionary technology is currently reshaping the way we approach care management, early disease detection, and administrative tasks. Early Benefits of Generative AI: Enhanced Care Management: AI serves as a "co-pilot" for healthcare professionals, assisting in managing patient care more efficiently and accurately. This leads to improved patient outcomes and more personalized care plans. Early Disease Detection: AI's ability to analyze vast amounts of unstructured data enables early identification of diseases, potentially saving lives and reducing healthcare costs. It's a game-changer in preventive healthcare. Reducing Clinician Burnout: By automating repetitive administrative tasks, AI allows clinicians to focus more on patient care. This not only improves job satisfaction but also enhances the quality of care provided. Affordability and Efficiency: AI-driven processes streamline operations, making healthcare more affordable and accessible. From optimizing workflows to reducing operational costs, AI is paving the way for a more sustainable healthcare system. Challenges and Considerations: Ethical and Legal Frameworks: Ensuring AI is used responsibly requires robust ethical, legal, and policy frameworks. Trustworthy AI adoption is crucial for patient safety and health equity. Technology Infrastructure: Organizations need to update their technology infrastructure, including cloud capabilities, to fully support AI implementation. As we embrace these advancements, it's essential to stay informed and engaged in the conversation about how AI can continue to transform healthcare for the better. #HealthcareTransformation #GenerativeAI #HealthTech #Innovation #AIinHealthcare Thanks to sources McKinsey & Company (https://lnkd.in/g7HZHEST) and MedCity News (https://lnkd.in/gi95t4qJ)

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This is a wonderful example of how emerging technologies can be leveraged in the healthtech and medtech spaces to make a difference where it is needed most. An Indian pilot program is seeking to address a challenge which is common for patients, and in particular, women with less access to digital and financial resources - when making informed medical decisions, how do you ensure you have access to all the necessary documentation in one place in a way that is convenient? #medtech #healthtech #inclusion #blockchain #equity

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Gen AI x Digital twin- interesting read. The implications are phenomenal for the #healthcare industry also, (in addition to examples cited in the article) by enabling personalized data driven approaches to #patientcare.

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Great insights on principles of responsible AI from Daniel Yang, VP of AI at Kaiser Permanente These resonate deeply with our mission at Lyric to transform healthcare responsibly. As we integrate AI, we face the challenge of balancing innovation with the trust that underpins our entire industry. The solution? Principles that prioritize both ethics and effectiveness. 🔍 Key Takeaways: Privacy as a Foundation: AI demands vast data, but data safety must never be compromised. Continuous monitoring and rigorous safeguards are non-negotiable. Reliability Over Time: Technology evolves. Our AI tools must adapt seamlessly without sacrificing care quality. Outcomes Matter: Every AI tool must tangibly improve care quality and affordability—or it has no place in our system. Transparency Builds Trust: We owe it to patients and staff to be open about AI’s role, function, and limitations. Equity at the Core: AI can reduce biases or amplify them. We must design with fairness as a priority, leveraging AI to tackle health inequities. As healthcare leaders, our focus is clear: AI must serve to enhance—not replace—the human touch in medicine. By adhering to these principles, we pave the way for a future where AI augments care, respects privacy, and delivers equity. Let’s lead this transformation together—responsibly, transparently, and always with patient welfare at the heart of our innovations. 🌐💡 #AIinHealthcare #TrustInAI #ResponsibleInnovation #HealthcareLeadership #AIEquity https://lnkd.in/gY3V5p8H

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Leading organizations like Fujita Health University, Genomics England, and AlayaCare are leveraging #generativeAI technology on Amazon Web Services (AWS) to revolutionize healthcare. By automating clinical workflows, accelerating research, and enhancing patient care, they are setting new standards in responsibility, security, and privacy. Learn more about how they are turning data into better outcomes and how your organization can follow suit. Thank you, Matthew Howard & Sue McCarthy RN MACN MAICD. Read more: https://lnkd.in/e7i_J2Cx AWS for Healthcare & Life Sciences

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5 Things EscrowAI is Doing to Help Customers Meet the Coalition on Health AI’s (CHAI) Assurance Standards BeeKeeperAIis committed to helping healthcare organizations realize the Coalition for Health AI’s (@CHAI) Assurance Standards for effective, equitable, reliable, transparent, and secure AI/ML/Gen AI solutions. Due to our privacy and security safeguards integrated and automated into our privacy enhancing collaboration platform, EscrowAITM, we are enabling our customers to meet these essential standards in the following ways: 1. Enhancing Usefulness, Usability, and Efficacy EscrowAI ensures AI models are reliable, user-friendly, and improve healthcare workflows, while providing measurable benefits like better outcomes and efficiency. 2. Ensuring Fairness and Equity EscrowAI mitigates bias by securely enabling diverse data use, ensuring AI performs equitably across all patient groups, reducing disparities in healthcare. 3. Promoting Safety and Reliability EscrowAI continuously monitors AI systems to ensure they are safe, reliable, and capable of adapting to healthcare changes without failure. 4. Supporting Transparency and Accountability EscrowAI enables clear, interpretable AI decisions, allowing stakeholders to understand how models work and holding AI developers accountable. 5. Safeguarding Security and Privacy EscrowAI protects sensitive healthcare data throughout the AI lifecycle, ensuring privacy and security while complying with HIPAA and other regulations. Join us at the AI @ HLTH Pavilion, Booth 4611, on Tuesday, October 22nd, from 2-4 PM to learn how EscrowAI can help your organization meet CHAI’s Assurance Standards for trustworthy AI. Our team will be on hand to discuss how our solutions can enhance transparency, fairness, safety, and security while accelerating your time to market. Don’t miss this opportunity to explore how we can support your journey towards responsible healthcare AI!

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On Tuesday 2 July Ankur Kalra and I are hosting a webinar on 3 key questions to evaluate AI investment opportunities in healthcare: 1. What part of your investment's AI lifecycle is defensible?  2. How does generative AI influence your investment strategy?  3. How should you assess Leadership Capability in the AI team? We'll also be talking about what breakthroughs in AI seem imminent in 2024 - what should you look out for. Ankur who is based in the US is the founder and CEO of Hop Labs, a machine learning consultancy focusing on reproducible ML research and scalable ML systems in healthcare, life sciences, and other industries. Prior to Hop Labs, Ankur was a senior technologist at Amazon, and was involved in the launch of Amazon Prime and Amazon Instant Video. Our virtual event is for: ➡️ Investors with an interest in AI in healthcare ➡️ Innovative companies deploying AI and seeking investment in 2024 ➡️ Advisers working with investors and companies seeking funding If you'd like to join us pls register using the link in the comments.

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Citeline Medtech Insight's monthly digital health roundup covered a lot of topics including coverage from HLTH USA discussed during the podcast. #medtech #AI #digitalhealth #BCI #funding

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Tune in to hear Vaishali Kamat explore how AI and automation are revolutionizing healthcare, even in maternity care deserts. Discover how these innovations are helping bridge the gap and improve access to care. #HealthcareInnovation #AI #MaternityCare

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📈 Digital Health Investments Rebounding! Exciting times for digital health as investments surge back! According to Rock Health’s report, U.S. digital health startups raised $5.7 billion in the first half of 2024, with AI-driven innovations at the forefront. Early-stage funding dominated, signaling investor confidence in long-term growth. The sector is adapting, with notable increases in PE acquisitions and a focus on mental health and disease treatment. Is this a sign of a return to sustainable growth in health tech? #DigitalHealth #AI #HealthTech #InvestmentTrends #Innovation Read more: https://lnkd.in/dABiyBa4

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Several #AI leaders in the #healthcare space have joined me for conversations on the #HealthcareIsHard podcast, and we touched on issues like governance and guidelines to ensure powerful new technology is used thoughtfully and responsibly. But we only really scratched the surface. This is a critically important conversation in healthcare, and Brian Anderson, MD is leading the charge as co-founder and CEO of the Coalition for Health AI (CHAI). Under Brian’s leadership, CHAI is very conscious about being inclusive of the entire healthcare ecosystem, so whether you represent a provider, payer, large tech company, startup or anyone else in the healthcare space, this is a conversation you should hear. https://lnkd.in/eZEVDdC2

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🌟 Transforming Healthcare: The PayVider Model & Value-Based Care🌟 In the rapidly evolving landscape of healthcare, innovative models are essential to meet the demands of quality, efficiency, and patient satisfaction. One such transformative model is the "PayVider" structure, which integrates payer and provider roles within the framework of value-based care. 🔍 What is the PayVider Model? The PayVider model represents a synergy between healthcare providers and payers, aligning incentives to focus on patient outcomes rather than volume of services. By combining these roles, this model strives to eliminate the traditional silos that often impede care coordination, leading to more streamlined and effective patient care. 📈 Value-Based Care: The Backbone At its core, the PayVider model is underpinned by value-based care principles. This approach emphasizes patient outcomes, cost-efficiency, and the overall quality of care provided. In value-based care, providers are rewarded not simply for performing procedures but for achieving better health outcomes for patients and reducing the overall cost of care. 💡 How Does PayVider Enhance Healthcare Delivery? 1. Improved Coordination: By aligning providers and payers, the PayVider model fosters enhanced communication and collaboration, reducing redundancies and ensuring a seamless patient experience across different care settings. 2. Incentive Alignment: With shared goals, financial incentives are better aligned, motivating all parties to focus on preventive care and chronic disease management, ultimately leading to healthier populations. 3. Cost Management: By reducing inefficiencies and focusing on outcomes, the PayVider model helps control rising healthcare costs, benefiting both patients and the healthcare system at large. 4. Patient-Centric Care: With a focus on quality outcomes, patients receive care that is more tailored to their individual needs, improving satisfaction and health results. 💭 The Future of PayVider and Value-Based Care As we move forward, embracing the PayVider model could prove pivotal in transforming the healthcare sector. By fostering a holistic approach centered on value over volume, we pave the way for a more sustainable and patient-focused healthcare system. Join the conversation: How do you see the PayVider model impacting the future of healthcare? Share your thoughts in the comments below! 👇 #Leadership #HealthcareLeadership #PayVider #ValueBasedCare #HealthcareInnovation #PatientCentric PSMAS Zimbabwe | Kaiser Permanente

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Harnessing the power of AI and real-world data (RWD) is revolutionizing drug development and patient care. Integrating these technologies allows us to better gather actionable insights from clinical trials. AI's ability to process vast amounts of data and provide precise guidance is pivotal in identifying suitable patient populations and optimizing trial designs, accelerating new drug development and improving patient outcomes. Additionally, seamless integration of AI and real-world data (RWD) is essential for a more collaborative, efficient, and patient-centric approach to drug development. We can create robust and collaborative RWD networks for clinical research and innovation, using AI to analyze the data effectively. By anonymizing and standardizing data, we can ensure privacy while further leveraging these valuable insights across the healthcare ecosystem. https://lnkd.in/eByShPD7

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McKinsey shares crucial insights on healthcare's digital transformation landscape. Legacy systems, inadequate capital, and data challenges are key barriers. The first step? Enhance data capabilities to pave the way for comprehensive transformation. It's universal. Check out the article for more: https://lnkd.in/g-HfEt2D

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🚀 Data-driven technology can profoundly accelerate the delivery of leading cancer expertise to the places and people who need it most when it is most valuable. In the latest Digital Health Transformers podcast, I chat with Bryce Barger from OSP about how AccessHope uses continuous innovation and personalized support driven by clinical excellence, combined with data, technology, and human-centered design, to improve health outcomes. Please tune in to learn more about how AccessHope leverages technology and clinical expertise to improve cancer care. #DigitalHealth #CancerTreatment #Innovation #HealthcareTech #AccessHope #AI

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👏 Previous research unveiled how #Teladoc Health leverages AI to proactively identify individuals at risk for uncontrolled diabetes outcomes over a year in advance. 👏 Teladoc's personalized health nudges significantly improved self-monitoring for type 2 diabetes, particularly for those identified as at risk for future complications. The nine-month study demonstrated a remarkable 3X increase in engagement. Additionally, there was a notable 0.4 reduction in A1c levels, with participants transitioning from 8.2% to 7.8% after receiving personalized health nudges through notifications on their mobile devices following AI risk identification. The impact soared when nudges were utilized to boost 1:1 coaching within digital programs designed for type 2 diabetes management. Teladoc has demonstrated that AI is beneficial in clinical care when applied thoughtfully and pragmatically. Find out more about these groundbreaking findings: [Link to the study](https://lnkd.in/gn2V9Ptn) 📊 #TeladocHealth #AI #DiabetesManagement #HealthTech #DigitalHealth #ResearchStudy

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