Trushna Dave

The overwhelming nature of healthcare largely can be attributed to the size of the market. It’s unfathomably large–$4 trillion in the US alone–and made up of countless submarkets. The American healthcare market could support dozens of FAANG (Facebook, Amazon, Apple, Netflix, Google)-scale companies, but today only one exists (UnitedHealth Group). Healthcare at its core is (1) a data, operations, and logistics problem, and (2) a consumer experience and engagement problem. Both are areas where the tech world excels. When it comes to data, operations, and logistics, the current state of healthcare leaves endless opportunity for improvement. $765 billion is wasted annually, with the main driver being human administrative overhead. Instead, some of the biggest problems in healthcare are going to be solved by technology. Healthcare provides the best opportunity out there to use the hottest tools in tech–especially AI–to displace huge incumbents. https://lnkd.in/gdUrrNEZ

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https://lnkd.in/eb_ZRqVC Progress on integrating Public Health into the healthcare data ecosystem. Goal: 'Rather than having each public health agency build and maintain cumbersome interfaces with each health care provider in their jurisdiction, the Trusted Exchange Framework and Common Agreement enables public health agencies to securely interoperate with provider organizations across the country using a single interface and user agreement.'

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Key trends and takeaways from HLTH 2024: 1. AI's Evolving Role: AI dominated discussions, with executives acknowledging its potential while also recognizing challenges in accuracy and clinician trust. There's a shift towards focusing on the practical applications of AI, with a call for partnerships to ensure reliable testing and implementation. 2. Infrastructure Focus: Beyond the glitzy AI tools, there's a growing emphasis on the "picks and shovels" needed for healthcare data accessibility, including infrastructure, compliance, and interoperability. Executives believe that improving data flow will facilitate the effective use of AI. 3. Middlemen Under Scrutiny: Pharmacy benefits managers (PBMs) faced criticism for their role in rising drug costs, with discussions highlighting misaligned incentives and the need for transparency in healthcare pricing. 4. Women's Health Spotlight: Women's health initiatives gained attention, particularly following government funding announcements and personal stories shared by advocates. However, investment in women's health remains minimal compared to overall healthcare funding. 5. Interest in Psychedelic Medicine: The potential of psychedelics for treating mental health conditions garnered significant interest, with discussions about funding and research moving forward, especially within the Veterans Affairs system. Executive Takeaways: Leaders from various sectors emphasized the importance of consumer-focused strategies, collaboration, and the need for responsible AI usage. There was a consensus on the critical role of addressing healthcare accessibility, improving patient experiences, and fostering innovations that genuinely enhance care delivery.

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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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Question for my network: how do you evaluate your digital health and health tech initiatives? Do you use any frameworks or services, etc? I am not one of those "tech can solve everything" people, but I do think it is a primary enabler for the future of health, equity, and "doing more with less" since we can't seem to magically triple our workforce or funding for it. Digital Health initiatives have been a little willy nilly and certainly aren't a silver bullet. But—for that reason, more and more attention is now being given to both evaluating digital health/health tech initiatives (finally!), AND bringing the health equity lens into their development/implementation (heck yes!) For the latter, I was interested to read the development of this Digital Health Equity-Focused Implementation Research (DH-EquIR) model! This framework outlines how you might start to integrate considerations of health equity into the implementation of your digital health technologies. Key takeaways: 👏 Inclusive Design: Technologies must be accessible and culturally sensitive, designed with input from diverse communities. 👏 Equity-Focused Planning: Integrate health equity considerations at every stage to reduce disparities. 👏 Continuous Evaluation: Monitor and adapt interventions to meet the needs of underserved populations. 👏 Sustainability: Ensure financial sustainability and interoperability for long-term success. 👏 Collaboration: Engage stakeholders from all sectors to drive impactful health solutions. It is promising to see health equity being promoted through thoughtful and inclusive digital health solutions designed to meet people where their real challenge is at, and I recognize that tech, people, and workflows go ✋in ✋ Frameworks like this are helpful as directional guidance to start with. I am also seeing a lot of "Digital Determinants of Health" crop up, though still meaning different things by different groups. Source: Construction of the Digital Health Equity Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research (https://buff.ly/3RbWmDQ) ----------------------------- (AI was used to generate this strange and misshapen/spelled image, but I actually kind of liked it!!)

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17 reasons I loved #GTM24! 17. Sonal Mane could be a standalone reason to love this event! Her future of GTM AI and automation session with John Hessinger identified things GTMers should be experimenting with and how to incorporate GenAI into existing workflows. 16. Peter Ward’s discourse on formalizing market readiness and ways to align cross-functional groups. 15. Macy Berg Mody’s example of eliminating repetitive x-team readouts and making meetings more productive with shared tech informing multiple groups on customer feedback. 14. Holly Holbrook's best practices for internal comms like creating a “front door” for cross-team conversations and ideation. 13. Emi Wayner’s practical guide to GTM launch metrics was great, but it was even better to hear how she evolves metrics while retaining focus on key impact areas. 12. I loved Candice Sparks and Lexie Knauer’s dialogue on building for parity vs. differentiation. Don’t let your product get in the way of a good story! 11. The most POV-altering moment of the conference (for me) was the fireside chat on unlocking brand growth with Maya Shah-Ceccotti, Karen Sage, and Nidhi D.. It changed my thinking re: CLG. Build it into growth motions intentionally upfront! 10. “If you build it with them, they are already there.” - Kasey Stinson. 9. 43% of buyers desire a “seller-free” sales experience, according to Gartner (and Filip Szymanski in his session on PLG vs. SLG). I appreciated his thoughts on scaling growth loops, whether collaboration growth loops or user content growth loops. 8. More people would remotely lead successful GTM teams if they followed Paige Lapen’s “make work rock” framework or James B. Stanton’s weekly meeting cadence: Commit - “CFC” - Complete. 7. Internal messaging gets diluted with multiple communication methods, as Somesh Chablani pointed out. Don’t drop it into Slack and assume everyone knows. Overcommunicate with remote teams. 6. Daniel Kuperman’s competitive intelligence matrix and launch blueprint could have been an entire session, and I still would have wanted more! 5. Nonya Collier is the collaboration queen! Co-creation in a brain trust, codifying insights, amplifying the collective intel. 4. “Beyond the Launch” by Ed Cho may have convinced me that math can be fun and definitely convinced me of the necessity of focusing on pipeline maturation and not just pipeline creation. 3. Ariel Cai walked through how AI is redefining the go-to-market playbook. 2. I was excited to share my session on accelerating sustainable growth with ideal customer profiles. Plus, in a shocking turn of events, I got to chair the second day! 1. The number one reason to attend any event from The Alliance/GTM Alliance is to connect with the most incredible people! I can’t list everyone, but I have to mention Chase Payne, Cinthia Silva, Jan, Amy 🐆, Rohit Angle, Alisha Johnson, Catherine Knoll, Samantha, Sasha, and I finally got to meet the mastermind behind it all: Jack Debono!

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Here’s your recap of last week’s health IT news 🗞️ 👇 🤖 AI Clinician Assistant • athenahealth released Ambient Notes, a fully integrated AI ambient scribe for ambulatory practices, which also supports switching between AI models based on context and individual preference. • Abridge is partnering with OpenNotes to evaluate AI-generated visit summaries. 📞 AI Contact Center • healow health released Genie, a phone-, text-, and chat-based AI conversational chat solution for appointment scheduling, prescription refills, and more. 🏥 AI Facility Management • Kontakt.io released a security app that allows staff to page security personnel with location information, and a Kio Nurse app for locating items with a live map view. 📈 Data & Analytics • Alameda County selected Innovaccer to unify and analyze the data in its Social Health Information Exchange.    • Cornerstone AI announced an additional $5M investment, bringing its total funding to $10M. • emtelligent released their Clinical Workflows solution, which offers both clinical and business users across healthcare organizations an interface experience to interact with their existing LLM and NLP engine. 💼 Provider & Practice Administration • Axuall announced two new health system partnerships—VA-based Inova Health System and IN-based Community Health Network—and a partnership with PayrHealth, which helps providers negotiate contracts and reimbursements. 🔁 RCM • SmarterDx released an AI denials solution that creates AI-generated appeals letters.    • Inovalon hosted its Empower 2024 summit and announced a host of new solutions and updates, including an eligibility verification solution for provider organizations and several other tools for health plans and research organizations. • XiFin, Inc. added two new payers to its Payor Rate Transparency Monitor—Humana and Blue Shield of California—and launched Payor Intelligence Hub to help providers better understand payer policies and behaviors. ⚙️ Clinical Operations • Oracle hosted its Oracle Health Summit and announced a number of new features and product updates, including an AI-native EHR, patient admin tools, and plans to become a QHIN. • eClinicalWorks hosted its National Conference and released AI RCM tools, VBC scorecards, and patient engagement updates. • Altera Digital Health released a new EHR, Paragon Denali—natively deployed in Microsoft Azure —intended for rural, critical access, and community hospitals. 🤝 Staffing, Consults, and Referrals: • Tennr raised a $37M Series B. • Cottage Hospital partnered with ShiftMed to add more flexible per diem options for acute care staff. 🧑‍💻 Virtual & At-Home Care • Brook Health is partnering with Linus Health to provide treatment plans and ongoing remote clinical care for cognitive care patients. --- Want the latest healthcare tech news delivered to your inbox each week? Sign up here 📬 👉 https://lnkd.in/e2UJ3ckP

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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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📲As a former pre-med and computer science major who spent my undergrad summers working at AT&T and Lucent Technologies, I’ve always had an interest in how we can merge technology and healthcare for health equity. 💻While AI has been with us including in healthcare for decades (I remember taking my first AI programming course in college in the late 90s), I’ve been impressed by the recent rapid advancements in AI, notably in generative AI. 📲Stephen Norris’s recent blog series delves into AI's impact on healthcare, addressing biases and its potential to boost health equity. You can read it the series here: https://lnkd.in/esn-Sa54 💻 Zainab Garba-Sani’s A.C.C.E.S.S. AI model emphasizes community-centered, multi-stakeholder-informed AI implementation in healthcare. This model speaks to the need to have marginalized and minoritized communities prioritized and as the drivers and contributors to AI design, development, implementation and use. Find out more about this model here: https://lnkd.in/ex7D3--J 📲We are often not in the room when these technologies are being developed. Advocates of racial and health equity need to be at the table, or this already exponential growth in GenAI will not only leave us behind but potentially worsen health inequities. As a collective, we need to drive this transformative change! #HealthTech #AI #HealthEquity #DataGovernance #PreMed #ComputerScience #Innovation https://lnkd.in/eDbvvgeG

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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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Absolutely, great insights Rock Health. Focussing on what you're best at can be key. Optum and Walmart have struggled because they tried to do too much. Pure-play virtual health providers, like Amazon in retail, could excel by specializing and creating their own space. It's like playing to your strengths rather than spreading yourself too thin. Pure play may be the winners ultimately. Tele health is here to stay. Devicharan Reddy Neelam Sharma Balaji Prasad Goli

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Let's talk AI with payers and providers—some interesting numbers to consider from the latest research (Sept 2024) (KLAS Research & Bain) Here are four eye-opening takeaways: 1. AI Strategy Surge: • 15% of providers now have an AI strategy, tripling from 5% last year • 25% of payers are leading the pack with established AI strategies • Both sides are bullish on generative AI's potential 2. Tech Spending Spree: • 75% of surveyed orgs boosted IT investments • Top priorities: cybersecurity, clinical workflow optimization, and data platforms • 70% of orgs doubling down on security 3. Payer Priorities: • Focus on care coordination, utilization management, and claims processing • 65% grappling with legacy tech challenges • Trend towards streamlining tech stacks and favoring existing vendors 4. AI Adoption Hurdles: • Regulatory and legal concerns top the list • Cost and accuracy issues (like AI hallucinations) are giving pause • Growing need for robust governance and ethical frameworks The report here: https://lnkd.in/gxjKPUaW Is your organization leading the charge or playing catch-up? #HealthcareAI #TechInnovation #FutureOfHealthcare

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How can we leverage Patient Experiences to Drive Health and Care Outcomes? What is "Authentic" Value-Based Care? In our recent Health Data Management article, Rachel Biblow and I discuss transforming health and care delivery by prioritizing “authentic” value, which emphasizes patient experiences and health outcomes (in relationship to financial results). This approach requires healthcare providers to focus on what matters most to patients. Read the full article: https://lnkd.in/e7fQihgw Initial Steps to Drive Authentic Value: 🌟 Adopt a human-centered culture by prioritizing individual health needs and goals >> Partner with individuals across the health and care continuum to support progress toward achieving goals. Operationalize experiences that enable better outcomes. 🌟 Develop an integrated data strategy and utilization plan >> Implement tools to capture patient perspectives on health status and healthcare experiences, ensuring that care aligns with patient needs. Integrate data for continuous improvement through collection, analysis, and intentional change to transform experience and health outcomes. 🌟 Leverage technology innovations >> Adopt relevant digital tools, including, AI for personalized care, improved communication, and operational efficiency. Determine pragmatic applications of technology that enable outcomes that matter to patients. By focusing on these elements, health and care organizations can earn trust, strengthen partnerships, enhance health outcomes, and achieve a more sustainable system. ************ SIGN-UP: Free monthly digest:  “Transforming Health and Care Experiences with Research and Actionable-Insights" https://lnkd.in/eWG5XSEd ************ ATTEND: Patient Experience Symposium, Boston, Sept 16-18, 2024 https://lnkd.in/eNKSpJ8G ************ PUBLISH: in the Special Collection on "Exploring the Relationship between Patient Experience, Health Outcomes, and Value-based Care" https://lnkd.in/ew4gEgz7 (A Collaboration between Journal of Patient Experience and International Consortium for Health Outcomes Measurement (ICHOM) ************ #PatientExperience #PatientReportedOutcomes #PatientEngagement #HealthCareExperience #ClinicianEngagement #PREMs #PROMs #VBC #VBHC #ValueBasedHealthCare #ValueBasedCare

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𝗖𝘆𝗯𝗲𝗿𝗰𝗵𝗼𝗻𝗱𝗿𝗶𝗮: ChatGPT has a far-reaching impact on 𝘩𝘺𝘱𝘰𝘤𝘩𝘰𝘯𝘥𝘳𝘪𝘢𝘤 𝘵𝘦𝘯𝘥𝘦𝘯𝘤𝘪𝘦𝘴. 1️⃣ 𝗔 𝗱𝗼𝘂𝗯𝗹𝗲-𝗲𝗱𝗴𝗲𝗱 𝘀𝘄𝗼𝗿𝗱: Instant access to massive information can 𝘦𝘹𝘢𝘤𝘦𝘳𝘣𝘢𝘵𝘦 𝘸𝘰𝘳𝘳𝘪𝘦𝘴. 2️⃣ 𝗗𝗮𝗻𝗴𝗲𝗿𝘀 𝗼𝗳 𝘀𝗲𝗹𝗳-𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝘀: AI tools enable users to input symptoms and receive diagnosis leading to 𝘮𝘪𝘴𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘢𝘯𝘹𝘪𝘦𝘵𝘺. 3️⃣ 𝗠𝗶𝘀𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀: Information, presented in a convincing manner: spell-checked, grammatically perfect, logically organised, yet wildly inaccurate. 4️⃣ 𝗧𝗵𝗲 𝗽𝗹𝘂𝘀 𝘀𝗶𝗱𝗲: Easy access to health information can be reassuring when answering questions. 5️⃣ 𝗦𝘁𝗶𝗴𝗺𝗮 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻: AI interactions are impersonal and private, which may reduce the stigma associated with seeking help and encourage more people to seek support discreetly. ➡️ Please subscribe to {ℙ}𝕣𝕖𝕤𝕔𝕣𝕚𝕡𝕥𝕚𝕠𝕟 - 𝗠𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗼𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝘄𝗲𝗹𝗹𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 - 𝘏𝘢𝘯𝘥 𝘤𝘳𝘢𝘧𝘵𝘦𝘥 𝘰𝘱𝘪𝘯𝘪𝘰𝘯𝘴 𝘰𝘯 𝘩𝘢𝘯𝘥 𝘱𝘪𝘤𝘬𝘦𝘥 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 || https://lnkd.in/gvr5kfEM 

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I had the pleasure of contributing to this book, Digital Health, Telemedicine and Beyond. It has a broad list of topics including the basics of services, reimbursement, and regulations. I wrote the "Coding for Telehealth/CMS guidelines" chapter. I still don't believe this myself, but my most interesting and impactful work has been on reimbursement and regulation. Here I describe some of it based on the behemoth that is #CMS. Edited by Dipu Patel, DMSc, MPAS, ABAIM, PA-C as she describes it: "With a strong focus on case studies and patient outcomes, this title provides an overview of digital medicine, terms, concepts, and applications for the multidisciplinary clinical practitioner. Chapters provide a concise, yet comprehensive understanding of digital health, including telemedicine, mHealth, EHRs, and the benefits and challenges of each. The book gives insights on risks and benefits associated with storing and transmitting patient information via digital tools and educates clinicians in the correct questions to ask for advocacy regarding state laws, scope of practice, and medicolegal implications." I'm joined with a number of incredible authors. Link below to pick up a copy: Harvey | Amit | Susan | Sonia | Jeremy | Derek | Kathryn | Nathan | Tom | Lisa | Marty | John | Dr Stefan #ai #rpm #rtm #dtx #telehealth #telemedicine #digitalhealth #digitalmedicine #aiinmedicine #healthcare

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In case you missed it, last week the Coalition for Health AI (CHAI) released a draft consensus framework for responsible health AI. Developed with input from over 100 contributors representing a diverse network of healthcare stakeholders, this guide proposes actionable evaluation criteria throughout the AI lifecycle—from identifying use cases to deployment and monitoring. Key examples outlined in the guide include: • Predictive EHR Risk Use Case (Pediatric Asthma Exacerbation) • Imaging Diagnostic Use Case (Mammography) • Generative AI Use Case (EHR Query and Extraction) • Claims-Based Outpatient Use Case (Care Management) • Clinical Ops & Administration Use Case (Prior Authorization with Medical Coding) • Genomics Use Case (Precision Oncology with Genomic Markers) The draft framework is open for public review and comment for the next sixty days. Please use this form to submit feedback: https://lnkd.in/eYughFYC Kudos to the CHAI team led by CEO & President, Dr. Brian Anderson, MD, on this milestone. Eric Horvitz Jennifer Goldsack John Halamka, M.D., M.S. Michael Pencina Micky Tripathi Nigam Shah Suchi Saria Troy Tazbaz #healthcare #ai #artificialintelligence #generativeai https://lnkd.in/e7VRv6fD

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This figure represents a human-centered, health-data-driven ecosystem that places the patient at the center, surrounded by four key quadrants. These quadrants include administrative and financial data (who am I?), logistics and facility services data (where am I?), medical data (am I healthy?), and paramedical data (how do I recover?). The figure highlights how these different data types interact and are integrated to ensure a seamless connection between the patient and healthcare providers. The goal is to improve the quality and continuity of care through the effective management and flow of data across various stakeholders. ✍🏻 Stevens, G., Hantson, L., Larmuseau, M. et al. (2022). A human-centered, health data-driven ecosystem. Discov Health Systems 1, 10. DOI: 10.1007/s44250-022-00011-9

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Excited to share this newly published work in Health Care Management Review, co-authored with my amazing colleagues Mona Al-Amin, Kate Li, & David Muhlestein Our research team studied 470 healthcare organizations to understand how digital tools could help Medicare patients managing multiple health conditions. What did we learn? 1. When doctors used technology to share medical records and connect with patients digitally, there were fewer surprise trips to the hospital. 2.Having a PCP who used these digital tools appeared to enhance these benefits. 3. When healthcare teams used technology to track and coordinate medications across all of a patient's doctors, the results suggested even better outcomes. These positive trends were especially noticeable among older adults juggling multiple health conditions.   For healthcare leaders, this research suggests that connected digital systems could make a real difference. For patients, particularly those seeing multiple doctors, engaging with their healthcare providers' digital tools might help them stay healthier. Have digital health tools changed how you interact with your doctors? Would love to hear your experiences. #HealthcareInnovation #PatientCare #HealthIT #Medicare #Research

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