Suzy Engwall

Industrial and Systems Engineering Magazine honored Vijay Govindarajan (VG) and my book, #Fusionstrategy, as the "Book of the Month" in June 2024. Felicia Sinusas ... As industries become progressively more digital, the strategic challenges are far-reaching. We hope our ideas provide a reference point as industrial leaders embark on strategic transformations.

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Sharing my thoughts on how UC Davis Health is working to decrease costs by reducing unwarranted variations in patient care. Leveraging artificial intelligence to provide accurate and meaningful data to illustrate patients’ problems to clinicians will be key. As I noted in this article below: “AI has the power to aggregate vast amounts of data and demonstrate the impact of different care pathways, informing nurses and physicians about the optimal way to deliver care for each patient. With AI providing constant surveillance of practice variations, maybe it won’t take many years for improved care algorithms to make their way into daily practice. We need to align incentives with this to speed up the adoption of these more effective approaches to improved care.” https://lnkd.in/gjYfRJmD

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Equitable healthcare stands as the paramount goal for the industry, especially in an era where patient demands outpace available resources. While advancements have propelled healthcare to unprecedented heights, the widening gap between patient needs and resource availability poses a daunting challenge. However, AI emerges as a powerful ally in bridging this disparity. Here’s how: #Healthcare #AI #PatientCare

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We’re on the brink of a healthcare revolution; Generative AI is about to save hundreds of thousands of lives. However, the transformation won’t happen unless doctors, patients, and leaders unite. In the latest episode of The Business of AI in Healthcare Podcast, Robert Pearl, M.D. — a visionary healthcare leader and former CEO of one of the largest medical groups in the U.S. — reveals how Generative AI is transforming medicine, based on insights from his new book, ChatGPT, MD. In this episode, he reveals mind-blowing insights that every healthcare professional should know: 🩺  Generative AI isn’t just a tool—it’s poised to save hundreds of thousands of lives by preventing heart attacks, strokes, and cancer before they happen.  🌐  AI’s power is doubling every year—in 5 years, it will be 32x stronger, and in 10 years, 1,000x more powerful. The future of healthcare is moving faster than we can imagine!  🏥  The chronic disease epidemic—diabetes, hypertension, heart disease—could be managed by a triad of physicians, patients, and AI tools that provide real-time monitoring and personalized treatments, reducing deaths by up to 50%. Healthcare 4.0 isn’t coming—it’s here, and this episode shows how AI is reshaping the future of patient care. 👁‍🗨 🔗 Learn More about Robert Pearl, M.D. at: https://robertpearlmd.com/ 📚 Get your copy of ChatGPT, MD here: https://lnkd.in/ewVW3CJF Think you’ve seen it all in healthcare? Think again. Subscribe and discover AI’s game-changing impact: Listen to the full episode on: - Website: https://lnkd.in/eCbME_bf - Spotify: https://lnkd.in/eNY4rJkB - Apple Podcast: https://lnkd.in/e8iwkZrZ #HealthcareAI #EmotionalIntelligence #AIinHealthcare #HealthcareProviders #AIandHealthcare #BusinessofAIinHealthcarePodcast #HealthcarePodcast #HealthcarePodcast

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🚀 Rethinking the MVP for Healthcare Startups 🩺 The traditional Minimal Viable Product (MVP) approach might not work as effectively in complex ecosystem contexts like digital health. An insightful HBR article highlights how successful firms are flipping the script: 🌟 Instead of rushing to prototypes, they prioritize deep observational research—interviewing patients, observing clinics, and mapping the landscape. This approach helps pinpoint unmet needs and ensures product-market fit before building. 💡 The key takeaway? Winning in digital health requires: 1️⃣ Deep discovery upfront: Interview, observe, and immerse yourself in the problem. 2️⃣ Going all-in on alpha customers: Build trust and robust solutions by investing deeply with early adopters. 3️⃣ Embracing the pivot: Use ecosystem complexity to repurpose investments and adapt when initial efforts don’t pan out. This nuanced approach combines the rigor of IDEO-style human centered engineering and customer discovery with the iterative principles of Lean Startup, creating a balanced path for innovation in healthcare. What do you think? Are prototypes losing their edge in complex ecosystems like healthcare? #DigitalHealth #Innovation #Startups #LeanStartup #MVP #CustomerExperience #DesignThinking #Prototyping #HealthcareInnovation #HBRInsights

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⚕#Podcast Slice of Healthcare: Empowering Customer-Centric AI In Healthcare Innovation⚕ Check out this 15-minute podcast, guest hosted by Aasim Saeed, MD-MPA of Amenities Health at #HLTH2024 and featuring #Pegasus startup leaders, Val Brown of Strolll , George Tomeski of Helfie and Ankur Teredesai of CueZen. Topics covered: 💡 Direct-to-Consumer AI in Health: Explore how consumer-oriented AI technologies allow patients to monitor conditions via mobile devices, reducing the need for traditional healthcare visits. 💡Personalized Healthcare at Scale: Learn about AI’s role in customizing treatment plans for millions, moving beyond standardized care to personalized solutions. 💡Augmented Reality for Patient Recovery: Discover how AR tech is enhancing rehabilitation for conditions like Parkinson’s by tailoring exercises to individual patient journeys. 💡Microsoft Pegasus Program: Insights on the Microsoft Pegasus Program’s impact in connecting health startups with healthcare systems for accelerated innovation and scale. 💡Challenges for Startups in Healthcare: A discussion on balancing innovation with adaptability within the existing healthcare framework. Thanks, Jared S. Taylor and team for your partnership! Derek Haynes Vikas Arora Bethany Cordes Jared Prins Tom Davis Andrea DeCamp Sylvie Atkins Ted Roduner Microsoft for Startups Microsoft for Healthcare #AIinHealth #PatientExperience #PersonalizedMedicine #AR #rehab #Innovation #Healthcare #HealthcareOnLinkedIn #startupsuccess

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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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There appears to be a "Superstar Effect" in healthcare and biomedical AI research right now. A small percentage of publications are truly novel methods contributions that introduce new capabilities or behaviors; whereas a majority of contemporary research publications are focused on implementation science to assess the real-world utility and performance of new methods. This dynamic seems different from prior eras, when the translational infrastructure for implementing novel AI methods was largely unavailable. While methods research often captures more attention and accolades, both types of research are critical – novel methods without implementation science lacks translatability; implementation science without novel methods lacks novelty. If our goal is to invent and deploy transformative AI methods in real-world healthcare and life sciences contexts, we ought to continue encouraging and rewarding stellar implementation science work alongside breakthrough methods development.

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📣 AI in Healthcare Survey Results 📣 " . . . The survey [from Wolters Kluwer] of 100 U.S. #physicians found that 40% are prepared to use #generativeAI during #patient interactions at the #pointofcare. Additionally, 68% of physicians said they have had a change of opinion over the last year and are now inclined to believe that generative AI would be beneficial for #healthcare." We need adopt AI in ways that minimize risk and keep the clinician in the loop as the final arbiter of care. As adoption becomes more prevalent (as evidenced by the 68% surveyed changing their opinions), AI will be integral to effective #carepathways, improved #patientoutcomes, and greater #clinician #jobsatisfaction.

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Deloitte Health - 2024 MedTech Digital Innovation Report a valuable report to validate the focus and value of digital innovation to MedTech Notes: ✍ 100 MedTech executives in the States, Europe, and Asia joined the survey. ✍ 3 themes: 1️⃣ measuring digital innovation maturity 2️⃣ modernizing operations, products, and customer experiences 3️⃣ adopting digital business models I'm highly interested in the values of MedTech in healthcare (theme 2&3) and address the highlights as follows. 👑 The top 5 use cases: 1️⃣ digital clinical trial (74%) 2️⃣ digital therapeutics (74%) 3️⃣ smart factories (89%) - automation 4️⃣ patient health and experience (68%) 5️⃣ customer service augmentation (66%) 👑 The top 5 values: 1️⃣ better patient/customer experience (76%) 2️⃣ greater connectivity of devices (eg. remote monitoring) (57%) 3️⃣ new product development (55%) 4️⃣ new digitally-enabled "as a service" business models (53%) 5️⃣ more accurate and predictive analysis of post-launch real-world data (43%) 💡 Digital health - 46% of leaders address digital health as their most important area of technical focus, including delivering new products, therapeutics, or services to engage patients. Only 16% of responders said that they are contemplating B2C approaches in addition to the traditional B2B model. 💡 Business models: ☝ 21% of leaders have made significant investments into growing other services: SaaS, HaaS, DaaS, and subscription. ☝ 29% of responders mentioned that they leveraged traditional channels to sell products rather than pursuing new business models. 💡 XaaS (Everything as a service) model: What it is: Bundle products such as hardware, devices, equipment, and consumables, providing value-added services. Example: Connected medical devices continuously collect and interpret data, predict events and behaviors, and recommend personalized next-best actions, incorporating real-time insights and predictions. (eg. CGM) 5 potential advantages: new profit pool... Next Focus: 🤝 👍 Align the business case and value proposition to customers My views of priority value propositions of digital health solutions: optimize efficiency of workflow, standardize care quality, broaden clinical bottlenecks caused by limited equipment or facilities, achieve better patient outcomes #digitalhealth #MedTech

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As promised here are my thoughts from Day 2 at the FDA's Digital Health Advisory Committee meeting on "Total Product Lifecycle Considerations for Generative-AI Enabled Devices." I have pretty much focused my thoughts on the talk and remarks presented by Dr. Keith J. Dreyer as he summarized it all very eloquently. He was truly inspiring! Here are my top 5 takeaways: 1️⃣ Continuous Clinical Validation is a Must: AI devices, especially in radiology, need ongoing validation to ensure they remain accurate and effective in real-world settings. 2️⃣ Regulating Generative AI for Patient Safety: There's a pressing need for clear regulations to guide the safe deployment of GenAI in healthcare, focusing on transparency and human oversight. 3️⃣ Expanding the FDA's Role: Keith emphasized that the FDA should look beyond manufacturers to include device users for better monitoring. As he put it, "We have to keep the data pristine to make sure these devices are working, independent of what the manufacturer makes." 4️⃣ Cost-Effective Monitoring Solutions: Recognizing that monitoring and validation can be costly, we need innovative solutions that make this feasible for all healthcare settings, big or small. 5️⃣ AI's Potential to Boost Efficiency: Generative AI could greatly enhance efficiency in radiology. Keith noted, "If there was a way to improve our efficiency through AI, and I think Gen AI has a way to be able to do that, then you're going to see availability, much broader availability of even specialists, to do more work and to work beyond the scope of what they can do today." I'm thrilled to be part of these vital conversations and can't wait to continue exploring how we can responsibly harness AI to transform healthcare! Here is the link to Dr. Keith J. Dreyer's talk: https://lnkd.in/gFisjcXW #GenerativeAI #AIinHealthcare #DigitalHealth FDA #PatientSafety #ClinicalValidation HOPPR American College of Radiology

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ICYMI: Key findings from the latest KFF Health Misinformation Tracking Poll on Artificial Intelligence and Health Information: - Most Adults are Not Confident They Can Tell Whether Information from AI Chatbots Is True or False - Most Adults – Including Most AI Users – Are Not Confident That Health Information Provided by AI Chatbots is Accurate - The Public Is Uncertain Whether AI Will Help or Hurt People Trying to Find Accurate Health Information Through our Health Misinformation and Trust initiative, we're tracking the evolution and spread of health misinformation, analyzing its impact on the American people through polling, and mobilizing the news media to address the problem. Full poll findings in comments.

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"The preservation of individual autonomy and privacy is the essence of freedom." In the rapidly evolving world of healthcare, AI has emerged as a transformative force, promising to enhance patient outcomes, streamline processes, and democratize access to care. There’s still much work to be done before we truly get to that place – but as we embrace these technological advancements, we must also confront a critical underlying debate: the balance between autonomy and control. Isn’t that what it’s really about as we consider deployment of such tools? AI in healthcare offers remarkable potential for empowerment—enabling patients to receive personalized care, facilitating earlier and more accurate diagnoses, making it easier for them to get a clinical care while at the same time,  also providing healthcare professionals with cutting-edge tools to make informed decisions. If done properly, it’ss a shift that could democratize access to quality care, breaking down traditional barriers and expanding reach to underserved populations. However, this empowerment comes with a trade-off. The more AI integrates into healthcare, the more data it collects—raising significant concerns about privacy, consent, and control. Who owns this data? How do we ensure it’s used ethically, without infringing on the autonomy of individuals? The challenge lies in striking a balance. We must harness AI’s capabilities while safeguarding the fundamental rights of patients. We need to explicitly address who’s in control? This requires thoughtful discussion around regulation, ethics, and the preservation of personal autonomy as well as professional education. The future of AI in healthcare will depend on how well we manage this delicate balance. It’s not just about the technology itself but about the principles that underpin our healthcare systems. #HealthcareInnovation #AI #EthicsInAI #PatientCare #DigitalHealth

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Collaborative Care not Hybrid or In-Person Care Virtual First is the framework to transform patient experience and outcomes using data-driven innovation to reimagine health and healthcare operations. This will impact staffing, facilities, technologies, and policy as collaborative care changes the frequency, nature, and value of care interactions. VF goes beyond optimizing encounters or hybrid care; it's about utilizing the most appropriate care mode to address needs at any point in the patient’s health journey. Health is not a single event or a series of disconnected occurrences. Traditionally, healthcare has been plagued by silos within and across systems, specialties, and care modes, resulting in fragmented workflows, communication, and data accessibility. Even within offices, experiences can be episodic, lacking continuity, leading to redundant questions and unnecessary steps. By leveraging data and insights, Virtual First supports seamless care continuity through ongoing collaboration, regardless of care mode. Virtual touchpoints are standard and expected. Good system design incorporates and utilizes virtual tools effectively for the patient, clinical staff, and payers. Virtual First encourages ongoing collaboration to support daily health decisions and needs, shifting focus away from the limited time people spend as "patients." The goal is not merely to offer convenience but to improve health and healthcare delivery by using the most appropriate mode of care, provided by the right person, at the right time, for the right need. Rather than debating the value of virtual vs. hybrid vs. in-person, Virtual First emphasizes collaborative care. Data supports care delivery by any mode at each stage of the health journey. Collaboration can occur between patient-provider, among providers, healthcare team-patient, with caregivers and others. Technology and data allow patient and clinical needs to start to be addressed at the earliest opportunity. Each collaboration informs the next most appropriate step, moving towards a more proactive and person-centric model. By design, Virtual First enables nudges, reminders, and communications as part of a trusted health relationship, not an unfamiliar service. The same virtual tools can be used for chronic disease management, acute care, mental health, preventive initiatives, and risk prevention without data silos or redundancy. Over time, the data collected will support the refinement of evidence-based practices, moving beyond current underperforming care models. Let's not simply reengineer current processes or create new silos. By embracing Virtual First, we can reinvent healthcare to not only be more responsive and efficient, but to address the increasing challenges of access, outcomes, equity, and cost. #VirtualFirst #ReInvent

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A new Epic, Mayo Clinic, and Abridge integration is set to develop a new resource for nurses leveraging genAI, to improve workflow and reduce admin burden. 👩‍⚕️ "Abridge's AI-powered platform transforms patient-clinician conversations into real-time structured clinical notes, addressing more than 50 specialities." 🗣 Emily Barey, vice president of nursing at Epic, said the collaboration "holds the potential to rethink how nurses document in an electronic health record today by bringing the voice of the patient and the nurse directly into the record." 🔀 Abridge's solutions, according to this article, are already at many prominent AMCs. From a #strategy roadmap perspective, this new genAI for nurses, estimated to launch by EOY, may pave the way for considerable expansion. https://lnkd.in/eWg8wTKA #HealthTech #Epic #EHR #GenAI #Nurses #ClinicalWorkflows #Abridge #Healthcare

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How do we use technology and new business models to connect care teams across specialties in service of better patient outcomes at lower cost? Care convergence brings together different clinical disciplines, tech and new payment models to take on the costliest conditions in the system from #diabetes to #dimenia. For me, it offers a new way of … Thinking… Investing in … Paying for… Delivering … Care. What does #CareConvergence mean to you? https://lnkd.in/dhtSs-Qa

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The capabilities technology is creating for #healthcare blows my mind 🤯 Dean Rottinghaus, DC and Lenny Schonfeld joined What the Health Just Happened? to talk about some incredible things happening at QurHealth #ArtificialIntelligence and voice cloning to help with patient care?!? Welcome to the future. Catch this and more on the full episode on your favorite podcast platform. #Healthy #AI #WTHJH Trey Lowell Justin Cousart

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