Tal Rosenberg

LSI, BioscienceLA, #LAMedtechweek, and HLTH's #VIVE2024 event resulted in the latest GTM Pulse Check offering which has successfully taken off! As a result, I am continuing on last week's series of go-to-market tactics. Crafting a robust marketing plan is essential for medical device companies to thrive in today's world. By leveraging these outlined sections, organizations can optimize their marketing strategies and drive meaningful impact.This post takes a step back to outline the sections of a marketing plan. Read on 👇🏼 Looking for support in creating your marketing plan?  Let’s chat! Book here 👉🏼 https://lnkd.in/g92YA9WK _____ P.S. Enjoying my content? ⚕️Follow me for more tips on medical device commercialization and repost to share with your network. #medtech #gotomarket #medicaldevices #healthcareinnovation

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What is one of the country's leading safety net health systems focused on right now? Gabriel M. Cohen MD, CMIO for Population Health at NYC Health + Hospitals shared his perspective with us in this week's 𝘌𝘹𝘦𝘤𝘶𝘵𝘪𝘷𝘦 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴: 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰? 1️⃣ Patient engagement – leveraging omnichannel communication to efficiently close care gaps 2️⃣ Interoperability – putting usable data in front of our clinicians at the point of care to support care gap closure 3️⃣ Care coordination – building the tech infrastructure for our social workers, community health workers, and care managers 4️⃣ Care infrastructure for asylum-seeking and incarcerated patient populations – multiple initiatives, with a particular focus on providing housing for homeless populations 𝗪𝗵𝗮𝘁’𝘀 𝗮 𝗿𝗲𝗰𝗲𝗻𝘁 𝘃𝗲𝗻𝗱𝗼𝗿 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝘀𝘁𝗼𝗿𝘆? Our partnership with Findhelp. Addressing health-related social needs is a critical priority for NYC H+H Our organization already has a high penetration of social needs screening, so our focus today is connecting patients with the right resources to address the identified disparities. Findhelp helps us with this by: • Ingesting the health-related social needs screening data • Identifying those patients who have a need • Locating the best local resource(s) for that patient • Connecting the patient to the resource(s) • Facilitating end-to-end communication, including informing the physician and care team whether the patient accessed the resource(s) Key to this initiative's success has been its tight integration with our current workflows in Epic, to the point that it should largely feel seamless for our clinicians. 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝘄𝗶𝘁𝗵 𝗿𝗲𝗴𝗮𝗿𝗱 𝘁𝗼 𝗔𝗜? As a safety net health system, NYC H+H’s priority is to ensure that the AI tools and models we employ can sufficiently manage potential bias. We’re currently prioritizing governance-related workstreams (e.g. governance councils, frameworks, and processes) that will drive a safety net health system playbook for appropriately evaluating and managing AI. The specific AI use cases we're currently prioritizing include: • Chart summarization • Inbasket management Other future areas of exploration: billing automation and radiology automation — For more insight from leading health IT execs, as well as Elion's latest research and can’t miss industry news, subscribe to our newsletter 📬 👉 https://bit.ly/49z6AUW

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A GREAT COLLABORATION FORMED… PRESS RELEASE New York City, May 6, 2024 Information Mediary Corp. (IMC) Corp. and Adherence Partner to Launch Revolutionary Digital MMAS Integration for Medication Adherence May 6, 2024 – New York, NY -- Information Mediary Corp (IMC) and Adherence have collaborated to introduce a digitized Morisky Medication Adherence Scale (MMAS), revolutionizing medication adherence management. This innovative solution signifies a significant advancement in precision and efficiency in patient care. The Morisky scale plays a crucial role in ensuring patients adhere to their prescribed medications, directly impacting treatment outcomes by preventing disease progression, reducing complications, and enhancing overall health outcomes. Recognized as the gold standard for assessing medication adherence, the MMAS-4 and MMAS-8 have been referenced in over 31,298 academic journals. This new partnership combines IMC’s cutting-edge dose analytics with Adherence's expertise to create a solution that integrates patient-reported MMAS data with objective adherence information. Through this collaboration, IMC will seamlessly integrate MMAS with the CertiScan Adherence Insight Platform, eCAP, and Med-ic, providing partners with a comprehensive suite of tools for advanced adherence monitoring and improved patient outcomes. A key focus of this partnership is the development of APIs for third-party platform integration. This initiative will enable industry partners to leverage the benefits of this innovative solution across various healthcare settings. Dean Brotzel CTO of IMC, emphasized, “The digital MMAS integration marks a significant milestone in medication adherence monitoring. By leveraging combined data sources, we are transforming the approach healthcare providers and patients take towards medication adherence.” For media inquiries or more information on the groundbreaking collaboration between IMC and Adherence, please contact dbrotzel@informationmediary.com or philip.morisky@adherence.cc Michael Petersen the company called adherence. . Information Mediary Corp. (IMC)

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🎙 Tune in to our Advancing Precision Oncology Podcast! 🎙 This 3-part series will explore how biomarkers and advanced testing capabilities are expanding patient access to precision oncology and improving health outcomes for cancer patients. Delve into the rapidly evolving landscape of biomarker testing, the benefits of integrating multi-data sources and the challenges and opportunities that lie ahead. 🔬💊 Listen to Part 1 with Dr. Gwyn Bebb and Wyatt Gotbetter: https://lnkd.in/eAuvzhFj #Podcast #Oncology #Biomarkers #NovelInsights

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One key reason why healthcare technologies like AI, telemedicine, and software haven't structurally lowered costs or broadened access for the entire system after decades of experimentation (excluding pure financial engineering of payer contracts) is the limited reimagining of care delivery itself, with asynchronous telemedicine as a notable exception. In the same way that digitizing physical paper failed to exploit the capabilities of a new computing medium for word processing, hosting physician-patient conversations over video does not transform the actual delivery of care. In telemedicine, many of the inputs (e.g., clinician time) and therefore cost structures of in-person care persist, which is why we often see fee-for-service telemedicine companies struggle to achieve economies of scale (i.e., growing revenues non-linearly while growing costs linearly). Until we deconstruct the components of a medical appointment – from intake and triage, to chart review, history gathering, physical examination, diagnosis, treatment, and follow-up – we will continue to be underwhelmed by the disconnect between the transformative potential of these technologies and real-world patient/system impact. I’m optimistic that the emergence of reliable and performant medical AI agents will urge us to perform this deconstruction and redesign the fundamental building blocks of a “medical appointment.”

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Interoperability in healthcare refers to timely and secure access, integration and use of electronic health data so that it can be used to optimize health outcomes. Hear from our own Bobby Sherwood on the challenges and best practices around #interoperability.

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Is your software platform a medical device according to FDA? If so, what does that mean for your business? These are essential questions for developers in #DTx, #HealthcareXR, and #remotetherapeuticmonitoring. Even if your software is a medical device, you might be subject to enforcement discretion - a more affordable path to market. But, there is a thin line between enforcement discretion and active regulation, which Michael Schellhous breaks down in the article below. Check it out! https://lnkd.in/edDfNkgc

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In a recent report, only ~20% of healthcare executives claimed that they fully trust their data. At Fullsteam Health, we think that % is way too low. We're committed to reversing this trend with our automated data curation platform which was initially developed at Duke to address this very issue and allow for fast access to data that is needed and that has been cleaned, grouped, and continually monitored. https://lnkd.in/epWvPTDV

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Artificial Intelligence presents a once-in-a-generation opportunity to cement Massachusetts’ leadership in healthcare and life sciences. However, the rapid rise of AI could erode rather than consolidate Massachusetts’ leadership in these sectors as other states and countries compete for talent and business. Coordinated action among employers, educators, and the state is crucial to maintain our leading position.   As noted in today’s Boston Business Journal article, under the Massachusetts High Technology Council, Inc.'s MassVision2050 initiative, Val Panier at Boston Consulting Group (BCG) led an advisory team of senior leaders from industry, hospitals, and academia to develop a strategic blueprint. The resulting MassVision2050 whitepaper details the strategy to achieve this vision, outlining crucial actions for talent development, data interoperability, and public-private partnerships.   We appreciate Secretary Yvonne Hao for taking time to join us and provide important updates on the Administration’s economic development strategy and AI Strategic Task Force. Special thanks to the BCG research team, Margot Bleys, John Wu, Nithya Vaduganathan, and Vladimir Lukic, and to the members of our advisory council for their valuable contributions and insights: Brian Anderson, MD of Coalition for Health AI (CHAI) and MITRE, Julie Chen and Yu Cao of University of Massachusetts Lowell, Thaddeus Guldbrandsen of Wentworth Institute of Technology, Peter Healy of Beth Israel Deaconess Medical Center, David Luzzi, Ph.D., M.B.A. of Northeastern University, Gabriele Ricci of Takeda, Steve Schwartz and David Wang of Azenta Life Sciences, Dan Shine of Thermo Fisher Scientific, Priya Singhal of Biogen, Grace W. of Worcester Polytechnic Institute, and Jean-Charles Wirth of MilliporeSigma.   Download the whitepaper here: https://lnkd.in/g3TzM3sb

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Manatt, Phelps & Phillips, LLP's take got me: "CMS is recognizing the role of digitally enabled care in improving access and outcomes." They also propose these new models "present health tech companies with opportunities to target new markets" because of the new/extra funding—such as viewing state Medicaid offices as new partner opportunities, which I've been seeing a lot of talk about recently in my feed. What do you think? I guess being in New Mexico, where almost half of our state is covered by Medicaid, Medicaid and MCOs have been a primary strategic partner/target market for 15+ years, and a somewhat omnipotent source driving most investment and initiatives. ------------------ More about the models: The Transforming Maternal Health (TMaH) model will issue agreements to up to 15 state Medicaid agencies to develop and implement a whole-person approach to pregnancy, childbirth, and postpartum care. The Innovation in Behavioral Health (IBH) model will develop and implement state-administered approaches which integrate behavioral, physical, and social supports to coordinate and manage care for Medicare and Medicaid beneficiaries with moderate-to-severe mental health conditions or substance-use disorders (SUD). I thought to myself, "wait, aren't we already doing that?" But they clarified: through the new models, CMS is encouraging states and providers to invest in technology and supporting infrastructure. ------------------ 🎉 What I'm excited about: Continued support for entities to get connected and the continued case for HIEs to expand their capabilities. Specifically, EHRs, HIEs, and remote patient monitoring (RPM). AND.... 🎉 "Additionally, CMS will support states with implementing data infrastructure to enable collection of Health-Related Social Needs (HRSN) data and referral to support resources." ------------------ 🤯 What I didn't realize: "It is estimated that only 6% of behavioral health facilities and 29% of substance use disorder treatment centers in the U.S. utilize EHRs, whereas nearly 4 in 5 office-based physicians (78%) leverage an EHR platform today 🤯 I'm having a hard time following along with all the new models coming out of CMMI, though 😉 Interesting piece all around, good info.

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This is an impressive channel for healthcare innovators outside the U.S. to enter the highly regulated healthcare/life sciences market in the U.S. strategically and effectively.

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I agree every single word. Yes, technology might not be the most important part, but how to streamline use cases and payment system is so crucial

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Super excited for this launch ✨ There's been some wonderful growth over the last few years in the remote care and virtual health spaces, but the increase in disparate solutions has also created a ton of fragmented workflows for clinicians, forcing them to switch between various point solutions to service a patient. We've seen it even with our own web app and provider-facing tools — clinicians are often spending more time trying just to find the right data on a patient than actually analyzing it and taking action. We're launching Connect to embed our insights on medication adherence directly into other web and care platforms to reduce the administrative time spent jumping between solutions to find different data points and increase the time clinicians are spending taking action and addressing patient needs. If you're a care platform of any sort and/or looking to provide your patients with a medication adherence support tool, we'd love to assist :) #virtualcare #medicationadherence #rtm

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As the discourse shifts from models to compound AI systems / agents, we need better AI benchmarks to evaluate multi-modal and multi-step task performance, especially in healthcare and life sciences. When we wrote the first paper demonstrating ChatGPT's performance on the USMLE, we chose the US Medical Licensing Exam as a benchmark for accessibility, speed, and ease. This benchmark was never intended to represent AI model performance on real-world clinical tasks. Today, I still see so many research teams and startups using benchmarks (like the USMLE) that are ill-fitted for assessing the true clinical or scientific performance and utility of the models they are developing for real-world contexts. Benchmark development may be seen as a "less sexy" area of research, but it is of paramount importance. Years after the rise of the transformer, we still lack adequate benchmarks for so many single-step tasks in biomedicine. With compound AI systems (i.e., architectures that integrate multiple AI models to perform complex tasks) emerging, we need new benchmarks for agentic behaviors. I'd argue that developing an agent with novel capabilities without at least proposing a companion benchmark (if an industry standard does not yet exist) may hinder the adoption of said agent, especially for high-stakes workflows. Designing more benchmarks that capture/simulate real-world clinical and scientific workflows will help us mitigate the major discrepancies observed between in silico and in vivo performance and better support safe + effective deployment of AI in biomedicine. There are already brilliant people focused here, and we need more. DMs are open if you're researching or working in this area of multi-step/multi-modal benchmarking in healthcare and life sciences! #healthcare #ai #artificialintelligence #generativeai

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How can we build the right infrastructure to support remote patient monitoring (RPM) for all kinds of patients in all kinds of settings? Check out this new paper in NEJM Catalyst by recent medical school graduate, Nina Singh, MD on why and how to create the core capabilities within a health system , taking a different, more scalable approach -- "the focus is on building tools and workflows for practices that are interested in using RPM rather than on building centralized RPM programs for specific high-need populations." Practical tips include a #playbook for RPM and much more: "Exploratory features include a playbook detailing best practices for RPM use across NYULH, a device loaner program, direct Bluetooth pairing (as opposed to Bluetooth syncing and transmission of data through data aggregator pathways), systematic offboarding workflows for inactive or stable patients, and small centralized programs being developed among groups of practices with similar patient populations and needs (e.g., primary care faculty group practices managing hypertension). Super proud of Dr Singh's work during her year off with Nader Mherabi and others in informatics at NYULANGONEMEDICALCENTER. She's heading to University of California, San Francisco Department of Medicine to start her internship--what a star! Talmadge E. King, Jr. MD Robert Wachter Atul Butte https://lnkd.in/e-VpGie7

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Often, innovative #Tech products never have the chance to see the light of day due to the long and complicated regulatory approval process. Some of these solutions have the potential to significantly improve the entire #Healthcare system and benefit both #Caregivers and #Patients. At Caresyntax, we focus on streamlining this process, making it easier for developers to concentrate on improving and optimizing their products, while our team accelerates the whole regulatory compliance process.   Our Clinical Data as a Service program provides medtech industry partners with comprehensive capabilities to gather and analyze #Data throughout the entire care continuum. This platform enables medtech companies to evaluate the effectiveness of their solutions and enhance patient outcomes by leveraging a data-driven strategy.   I believe in strong ethical and legislative compliance for #MedTech solutions. This is why we understand the crucial factors and pillars needed for such solutions to achieve fast and easy market entry. Learn more about our Clinical Data as a Service solution via the link below:   https://lnkd.in/g9qSFp3p #FutureofHealthcare #AIinHealthcare #Caresyntax

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#ASCO2024 Was intense and inspiring. American Society of Clinical Oncology (ASCO)published 6 guiding principles for AI to be used in cancer care in the attached document. The vast scope of decisions to be agreed upon and executed against can create the impression that we are, collectively, trying to design and build the car while it is driving! How are you managing today's choices about what AI to use, how to use it, and how to get ready for new responsibilities about non-discrimination of the AI that you built/use? At Gesund.ai we know how we make the last mile to the clinic vastly more frictionless for our AI customers, while also improving trust and transparency. But we also would love to hear from others what questions and concerns you have. How do you comply with competing standards and frameworks without losing speed of development? How are these 6 ASCO AI principles a challenge - or not - for you and do you have the bandwidth and expertise to align ongoing efforts with them? Let's work together to have AI benefit as many cancer patients as possible, as quickly as possible #AI100 #AI #AIMI #healthcareinnovation #CHAI #AssuranceLabs #AIinlifesciences https://lnkd.in/gGfS7Rvi

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Lately, it seems there's a lot of worry about artificial intelligence replacing doctors. According to Penn Medicine, University of Pennsylvania Health System CEO, Kevin Mahoney, that won't be happening. In our latest #HumanizingHealthcare discussion, Kevin shares insights on how Penn Medicine is leading the way in groundbreaking innovations expected to transform patient care and caregiver well-being, such as: ✅ Automating repetitive tasks with artificial intelligence ✅ Pioneering mRNA Technology: ✅ Immune Profiling for Personalized Care: ✅ Expanding home-based care & Telemedicine 🎧 Listen to the full episode, powered by Fidelum Health and Planetree, here: https://lnkd.in/gepA53Hq #HealthcareInnovation, #ProviderFriendly, #StaffEngagement, #PatientExperience, #ArtificialIntelligence, #PersonCenteredCare, Summer Freeman, Michael G., Mandy Kilmartin, FPCC

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