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Brandon M. Welch, MS, PhD
AI + Telehealth: Redefining Healthcare, But are we removing the patient connection? AI is no longer a sci-fi trope in healthcare. It's here, working alongside doctors to unlock a new era of care. Imagine richer patient interactions through telehealth, fueled by AI's data insights. But wait, is AI a collaborator or a potential replacement for the human touch? We see AI as a powerful tool, boosting efficiency and expertise. But privacy concerns loom large. Is this the future of healthcare, or a step towards a cold, impersonal experience? In this article written exclusively for Forbes, we discuss all the considerations involved in the debate. #AIinHealthcare #Telehealth #FutureofHealthcare #HealthcareInnovation #HealthTech #DigitalHealth #MedicalTechnology #PatientData #HIPAAcompliance #TelehealthSecurity #PatientEmpowerment #DataSecurity #TelehealthRevolution #TransformingHealthcare
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Mario Amaro, MD
The biggest threat of AI in healthcare isn't aimed at physicians nor clinicians, but rather at 1099 gig work "business in a box" and anything rent-a-doc. As fractional micropractices become more common, these models will quickly become obsolete. Here's why ⤵ There are only two reasons why these "business in a box" solutions experienced success over the last 5-10 years. 1. It's extremely difficult and complex to start a practice from the ground up. 2. The high costs of growing and managing a practice forces physicians and clinicians to go all in, unlike 1099 gig work where they can still maintain full-time employment (paycheck security). However, all of this can be reduced if not completely eliminated with AI. Meaning that millions of physicians and clinicians can build and run fractional practices, regardless of their employment status. Old model: 1099 New model: Ownership This is a GAME CHANGER in healthcare and something that we haven't seen in almost 20 years since EHRs moved in. So if you're still betting on the gig work model of 2008 dominating in a world of AI in healthcare. It's obvious that you don't understand how quickly this technology is advancing. Look, the headway MSO model was great, and many businesses cloned it with incredible success. But those times are gone and if you're betting on this model today, you're about 5 years too late. AI is here and fractional micropractices will quickly dominate the market. AI + services is the new gold rush opportunity for licensed healthcare professionals. ---- Hi, I'm Dr. Mario Amaro, Founder and CEO Ease, and I talk about all things starting, running, and growing a private practice with AI. Follow me, if you are planning to start one or are currently figuring out creative ways to grow one. #PrivatePractice #SelfEmployment #HealthcareOnLinkedin #HeyEase #IndependentTogether #Fintech #Infrastructure #AIinHealthcare #CareDelivery
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Mario Amaro, MD
Physicians are still confused about how AI agents differ from AI co-pilots in healthcare, and I think that's what's driving a lot of the skepticism. So let's break it down ⤵ Co-pilots tend to rely heavily on human in the loop interactions and often need individual guidance or prompting to complete a task. Basically, it waits for you to make decisions and often can only complete one task at a time. On the other hand, agents combine LLMs with application code or tools to generate flow or sequences of events to accomplish multiple tasks. This is essentially a decision-making process based on a list of actions enabling the agent to operate autonomously. I understand that there is a bit more risk when agents become more autonomous, but I do not believe that humans will never be out of the loop in healthcare. However, I believe the frequency will be significantly reduced. In other words, the physician and AI agent would have weekly or monthly check-ins via chat, SMS, email, etc, all managed through their practice workspace, similar to what a bookkeeper would do with financial ledger reconciliation. I don't think co-pilots are going away, instead, I see them evolving into the primary user interface the physician uses to manage all of their agents. For example, if we look at practice workflow, it's divided into clinical operations (e.g. care delivery, clinical decision interpretation, etc.) and non-clinical operations (e.g. scheduling, billing, HR, accounting, etc.).Physicians and patients will be most engaged with the co-pilot interface. Agents will either work in the virtual front or back office or automate a lot of the traditional clinical support staff's tasks. Here's what excites me most about AI agents: their ability to code and reason. Currently, there is a massive divide between EHR-enabled practices and tech-enabled digital health care delivery startups. AI agents will help practices close this gap by making it easier for them build custom web applications + integrations faster and cheaper than ever before. This generally requires millions of VC/PE funding. This IMO will shift the market back to independent practice and possibly disrupt the digital health care delivery model that currently dominates the outpatient care delivery space. ---- Hi, I'm Dr. Mario Amaro, Founder and CEO Ease, and I talk about all things starting, running, and growing a private practice with AI. Follow me, if you are planning to start one or are currently figuring out creative ways to grow one. #PrivatePractice #SelfEmployment #HealthcareOnLinkedin #HeyEase #IndependentTogether #Fintech #Infrastructure #AIinHealthcare #CareDelivery
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ECG Management Consultants
What we’re experiencing in healthcare is a not a new normal—it’s a new era. #ECGMC’s Andrew Bachrodt and David Willis explore the future healthcare provider market and explain what health systems can expect in the next decade—and how they can succeed. Check out our new infographic! #infographic #healthsystemstrategy https://lnkd.in/eANjsZq6
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DataCart
As a healthcare professional, you want to provide the best possible care to your patients. However, the efficiency of your clinic’s workflow can have a significant impact on your ability to provide high-quality care. Health data and patient information are frequently segregated, unstructured, and challenging to access, which hinders efficient decision-making and creates workflow bottlenecks. In this blog, we’ll discuss some tips on how to optimize your clinic’s workflow. Read more at the following link: https://lnkd.in/gCc_j_Ae #nursing #healthcare #medicalcarts
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Justin Norden, MD, MBA, MPhil
Takeaways from week two Stanford Med216: Generative AI and Medicine - “Be part of the wave of innovation, don’t let it crash on you” with Dr. John Hennessy - Alphabet Chairman and former President Stanford University. Pulling out a key thread from Dr. Hennessy’s session was his take on technology coming in waves of innovation: • We are in the AI wave of innovation - we have seen previous waves of innovation with the internet and with mobile. This is the wave to learn about, contribute to, and be a part of. • What’s different with AI innovation? - The speed of adoption and rate of change in this wave is unprecedented. Previously, we have seen technology take years for adoption and for its impact to be seen. We are going to see changes much faster with AI and need to react specifically around impacts to education and jobs. • Role of education - Undergrad Education – Focusing on creating lifelong learners - Graduate Education - learning enough to be fearless to push forward when a new area comes along. These goals are not different in the AI wave of innovation - now we just have more people studying linear algebra. • Regulatory environment is very tricky - the technology can be used for good or bad, and just because it can be used for bad does not mean we outright ban it. There are no easy answers to the copyright/usage of content. If we over-regulate we will push innovation elsewhere. • What’s coming down the pipe? We aren’t close to AGI. The improvements seen in the past few years have certainly shifted the timeline closer than most thought, but we are still years away. The Transformer architecture was a big step forward, but this isn't the end of innovation, we will continue to improve how we are building AI. What’s exciting in healthcare? • Patient interfacing - explaining medical concepts and treatments in ways that patients can fully understand. • Diagnostic error reduction – AI should be able to reduce errors in diagnosis and reduce the time it takes to reach the correct diagnosis. • Research and drug discovery will be made much more efficient with AI. • Overall with AI patients will take a larger role in their own healthcare journey. Quick hit questions: •Contrarian truth - "Individuals can change the world." •Key advice - "Remain intellectually curious for your entire life." Thanks to Longsha Liu and Bryant Lin my co-instructors for making this course possible. #genai #lifelonglearning #futureofhealth #AI (image created with Dalle)
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Mario Amaro, MD
I talk a lot about physician ownership but one of the things that we really need to pay attention to is ownership of AI agent likeness but more specifically, voice. This new era of AI is entirely foreign to clinical medicine and just like the Scarlett Johansson issue we should expect AI agents to be trained using physician voices and no, I'm not just talking about physician influencers. AI agents will be trained on neighborhood physicians, and not all will be friendly. The reason why this topic is so important is because VOICE is going to quickly become the default interaction with AI followed by gestures or what Apple is currently calling Siri interactions with its AirPod product. Chat was only the beginning, and AI will increase adoption as it becomes more adept at understanding natural language patterns. The real question is, how can you own your professional voice? Are there any plans to change the copyright laws to protect licensed medical professionals? Do you need to add voice to your MedMal plan to prevent security issues? Would every physician be required to have an AI agent to protect their professional medical likeness from being cloned and used without their consent? What are your thoughts? ------ Hi, I'm Dr. Mario Amaro, Founder and CEO Ease, and I talk about all things starting, running, and growing a private practice with AI. Follow me, if you are planning to start one or are currently figuring out creative ways to grow one. #PrivatePractice #SelfEmployment #HealthcareOnLinkedin #HeyEase #IndependentTogether #Fintech #Infrastructure #AIinHealthcare #CareDelivery
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Grapevine - The Future of Procurement
Exciting Industry News in Healthcare: Introducing the National Patient Safety Board (NPSB) 📢 A recent MedCityNews article goes in depth on the future of safer healthcare and the involvement Artificial Intelligence (AI) plays in these efforts: "At a national level, we’re already seeing an organized response around leveraging the latest technology to enhance safer care. Recently, a coalition of leading healthcare organizations and experts proposed a new federal board dedicated to patient safety, housed in the Department of Health and Human Services: the National Patient Safety Board (NPSB)." The bill to establish the board was passed in March of 2024. 🔍 The NPSB aims to develop technology and AI-driven solutions to tackle patient safety issues such as medication errors, wrong-site surgeries, errors in pathology labs, and issues during transitions from acute to long-term care. By doing so, it seeks to relieve the burden of data collection at the frontline while detecting precursors to harm. Key Facts about the NPSB: ➕AI-Powered Solutions: The NPSB will utilize AI to analyze data, predict risks, and prevent safety incidents before they occur. ➕Holistic Approach: By integrating AI, the NPSB aims to create a comprehensive safety net that ensures all patient interactions are safe and efficient. ➕Proactive Safety Culture: The board's efforts will foster a proactive approach to patient safety, ensuring continuous learning and improvement. ➕Innovation and Growth: The creation of this board is a significant step forward for innovation within the healthcare industry. It embraces new technology and adapts to the evolving landscape, ensuring that healthcare grows with the times instead of staying stagnant. As we look forward to a future where patient safety is prioritized through innovative technology, it's essential to recognize the role of AI in transforming healthcare operations. ☁️Here at Grapevine, we use AI to streamline the medical supply procurement process, making it more efficient and cost-effective, with the same ultimate goal: prioritizing patient safety and care. ☁️Together, we can build a safer, more reliable healthcare system for everyone. 🔗 https://lnkd.in/gKGymKTE #HealthcareInnovation #PatientSafety #NPSB #AIinHealthcare #GrapevineSolutions
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Media Contacts
The Healthcare Technology Report Announces The Top 25 Healthcare Software Executives of 2024 — MediaContacts.co — The #Healthcare #Technology #Report is pleased to announce the #Top #25 Healthcare #Software Executives of 2024. NEW #YORK May #29 #2024 The Healthcare Technology Report is pleased to announce the Top 25 Healthcare Software Executives of 2024. With the #global healthcare IT #industry expected to #reach $974.5 #billion by 2027, the awardees selected this year showcases exceptional #leaders who are steering the healthcare software #landscape in groundbreaking directions. They've spearheaded cutting-edge healthcare #solutions from inventive software #platforms to #apps that #pair with #medical devices and #data libraries. Their efforts are not only enhancing #patient #care #experiences and outcomes, but are also #setting new standards for leadership in the industry. As Chief Product Officer of Datavant, Shannon West has helped grow a health data platform to support thousands of organizations in 70% of the 100 largest health systems. At Lyra Health, COO and CMO Connie Chen leads a team that is transforming access to life-changing mental health care using AI-powered provider matching. And thanks to Co-Founder and CEO Kevin MacDonald's platform Bluesight, more than 1,600 U.S. and Canadian hospitals are optimizing their hospital pharmacy practices by improving efficiency, reducing medication costs, and increasing compliance and safety. With a blend of sharp business acumen and an unwavering commitment to global health, these individuals embody excellence in leadership. Please join us in celebrating the achievements of The Top 25 Healthcare Software Executives of 2024. This year's awardees include Dan Rodrigues
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Michelle Currie MS, RN, CPHQ, CPHIMS
🔥 HOT TAKE 🔥 If you haven’t seen this in-depth case study of Duke University Health System's #AI journey on LinkedIn yet, it's a must read. It's an honest examination of their achievements, areas for improvement, and valuable lessons learned. This article effectivley outlines the process of transforming a techical tool into a "solution." Solutions can be thougth of as the "wrap around" required to account for and address the multi-faceted, complex, sociotechnical dynamics at play when implementing technology in the Healthcare industry. Our challenge in healthcare is not that we lack software or tools; we suffer from the lack of effective sociotechnical "wrap arounds" for these tools. Creating effective wrap around solutions requires the following skills of both IT and clinical/business leaders: 1️⃣ Understand the players: Healthcare is delivered through collaboration and cooperation of many professionals. Licensed professionals (MDs, RNs, RTs, PharmD, MSWs, PTs, OTs, etc.) are legally entitled to independently execute the scientific process - assessment, diagnosis, planning, implementation and evalution - during direct patient care. Each professional has a unique perspective of the patient, and unique actions they will take, based on information gleaned during these five steps. Understand how these professionals work together, what their subject matter expertise is, and how they are structured from an organizaitonal perspective. Understand who has accountability and authority for which decisions, which resources, which budgets, which operations/activities, and which outcomes. Accurately identifying and including appropriate stakeholders upfront will save a lot of time and avoid rework. 2️⃣ Avoid making techincal assumptions early in the process: techical assumptions about scope, design, outcome definitions, visualizations, availability of data, and how the front-line should use the technology prematurely stifles the creative process. Get comfortable with ambiguity and questions as you learn about the environment. 3️⃣ Default to swimlane diagrams for healthcare. If analyzed correclty, you will rarely encounter a workflow that does not traverse multiple departments and/or functions to accomplish a goal. This diagram is useful for modeling business processes in a way that is understandable to end users and stakeholders who may not have a technical background. They effectivley surface important information from end users not captured through other means. 4️⃣ In addition to swimlane diagrams, the Unified Modeling Language (#UML) standard notation, including the #class, #activity, #sequence, and #state diagrams, can identify how the tool and UI need to be configured or modified to support front-line staff, in addition to capturing "data flow" and context as it is created, modified, used, and stored for subsequent reuse.
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Idrees Mohammed
Recently, Stanford rolled out a new AI model to help physicians and nurses work together. I was glad to see this shift, as AI was initially limited to improving diagnoses but can do much more. It’s what we imagined with midoc.ai, an integrated health system that collaborates with physicians and nurses to improve patient care. Nurses and clinicians often can’t always keep a close eye on Vital signs. They have regular intervals, but keeping a short loop is sometimes impossible. However, this new algorithm at Stanford Hospital reviews the data every 15 minutes and gives a risk score. Here’s how I think it’s bringing a positive impact onto the scene: → Improved Communication: The model facilitates efficient communication between nurses and physicians. By generating alerts, it prompts timely discussions about patient care, which might otherwise be delayed due to the busy hospital environment. Initially, the model alerted staff when patients were already deteriorating. Adjustments were made to predict severe outcomes, like ICU transfers instead. This change has led to better proactive care. → Clinical Impact: In a study involving almost 10,000 patients, Those identified by the AI as at high risk saw a 10.4% reduction in deterioration events (like ICU transfers), which is particularly beneficial for those on the cusp of high risk. → Response to the Model: The reception among healthcare professionals has been generally positive despite some concerns about alert fatigue. Efforts are ongoing to refine the model’s accuracy to boost its reliability and the staff's trust in its predictions. The team at Stanford aims to improve the model's accuracy to enhance trust and effectiveness in preventing patient deterioration. – What are your thoughts on this model?
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Ayush Patel
📰 🩺For those unaware: Google has a medical LLM called "AIME" It outperformed clinicians in diagnoses. Surprisingly, when clinicians were assisting AIME the accuracy was worse. https://lnkd.in/gqchnEmp Also... "ChatGPT-4, an artificial intelligence program designed to understand and generate human-like text, outperformed internal medicine residents and attending physicians at two academic medical centers at processing medical data and demonstrating clinical reasoning." https://lnkd.in/g-fJh_f4 Medicine in the next few years will be taken over by algorithms that have exponentially more data and are able to reason better than their human counterparts.
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Jeremy Bikman
Epic's rolling out an open-source AI validation tool, eh? Will it be more like the pre-2020 version of OpenAI (truly open) or today's version (fully locked down)? I mean...there's open and then there's 'open' open. #healthcare #ai #opensource #healthcareai #medicalai #generativeai #chatgpt #hospitals #healthsystems https://lnkd.in/gxkFh85A
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AI Nexus Healthcare
AI Nexus Healthcare Completes Mayo Clinic Platform_Accelerate Program AI Nexus Healthcare has successfully graduated from the Mayo Clinic Platform_Accelerate program. Using Mayo Clinic Platform's global, de-identified data network, Mayo Clinic Platform_Accelerate helped AI Nexus Healthcare focus on the validation and clinical readiness of their #artificialintelligence driven solutions in line with healthcare industry standards. “Working side by side with the Mayo Clinic Platform was a giant leap forward in our validation process, and we couldn’t have been more thrilled with the results. We are looking forward to a bright future where we will continue to bring new knowledge, new solutions and new technologies through collaborations to create a healthier world”, Faramarz Farhoodi, our Founder and President. The program provided access to Mayo Clinic experts in regulatory, #clinical, #technology and business domains. As part of this in-kind investment, Mayo Clinic Platform has an equity position in AI Nexus Healthcare. AI Nexus Healthcare is on a mission to make #healthcare more #accessible to people regardless of economic status, geographic location, gender or race. Its revolutionary technology, miavitals, is a novel and proprietary #AI based platform that helps users take control of their health using just a #smartphone. Read the complete press release: https://buff.ly/3UonmRk #aihealth #aitechnology #healthtechnology #mobilehealth #machinelearning #cognitiveai
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Taliun Healthcare → 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯𝘴 | 𝘚𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘚𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴 | 𝘋𝘢𝘵𝘢 & 𝘈𝘐
Advancing Interoperability in Healthcare: Exploring FHIR, Bulk FHIR, and USCDI n today's digital healthcare landscape, the seamless exchange of health information is crucial for delivering high-quality, coordinated care. However, interoperability challenges have hindered the efficient sharing of patient data across different systems and organizations. link: https://lnkd.in/dszxDtbv #healthit #interoperability #healthinformationexchange #patientcare #digitalhealthcare #healthcareinnovation #datasharing #healthcareintegration #improvingoutcomes #coordinatedcare
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Bell Law Firm
#InTheNews: New AI tools are revolutionizing healthcare, but who pays the price for mistakes? A recent POLITICO article takes a deep dive into healthcare AI, stating that doctors are navigating uncharted waters as they embrace the tech for diagnosis and treatment. The debate is heating up in Congress, courts, and boardrooms. Will AI enhance care or increase liability? The answer could reshape medicine and significantly impact medical malpractice litigation. Read more here: https://politi.co/3Ql8ZM9
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6B
Healthcare technology interoperability is usually achieved through a combination of convergence, standards, and composition. In our latest article, we look at convergence, standards, and composition separately and how these approaches affect interoperability and architecture decisions 👉 https://lnkd.in/evTsxQwb. #HealthcareInteroperability #DigitalHealthInteroperability
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MediFormatica
EConsent Workflows Must Evolve to Support Interoperability and Health Equity – MedCity News - MedCity News #EConsent Workflows EConsent workflows in healthcare must evolve to support interoperability and health equity, according to a recent article on MedCity News. The current state of eConsent workflows is not sufficient to address the growing need for seamless data exchange and equitable access to healthcare services. #Challenges in EConsent Workflows One of the main challenges in eConsent workflows is the lack of standardization and interoperability across different healthcare systems. This hinders the ability to share consent information securely and efficiently between providers, leading to fragmented care and potential privacy issues. #Importance of Interoperability Interoperability is crucial for eConsent workflows to ensure that patient consent preferences are accurately captured and shared across various healthcare ai.mediformatica.com #health #docusign #healthcare #velatura #webinar #econsent #healthinformation #interoperability #providers #technology #workflows #administration #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4cScMdH)
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Great Oyita
🚨 Google's Med-Gemini is shaking up healthcare AI! Forget GPT-4, this new model is crushing medical benchmarks. 🩺🧠 What got me excited... Beating Doctors (Respectfully): Med-Gemini outperforms human experts on tasks like summarizing medical information and simplifying complex diagnoses. This has huge potential for patient education and empowering healthcare providers. Tackling the USMLE: Setting a new high score (91.1%) on the MedQA-USMLE benchmark means this AI is packed with validated medical knowledge. It's Not Just Q&A: Med-Gemini is multi-modal, outperforming GPT-4 on tasks that involve images and various data types – just like the real world of medicine. The Big Picture: This is more than just cool tech. Med-Gemini could: Support Doctors: Help them process information faster and make more informed decisions, especially with complex cases. Empower Patients: Clear, reliable summaries of their conditions in easy-to-understand language is a gamechanger for patient empowerment. Transform Med Training: Imagine AI tools that help medical students grasp difficult concepts more easily. This is just the beginning. Google AI is consistently pushing boundaries in healthcare, as seen with AMIE earlier this year. The future of medicine is data-driven, with AI acting as a powerful assistant! Question for you: Where do you see the biggest potential for Med-Gemini to improve healthcare? #HealthcareInnovation #AIinMedicine #MedGemini #GoogleAI #FutureofHealth Research Paper: https://lnkd.in/dMEAnfXh Video Credit: TheAIGRID
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