Here’s your recap of last week’s health IT news 🗞️ 👇 🖊️ AI Ambient Scribes • CHRISTUS Health + Abridge: The 15,000 provider Texas health system adopted the ambient scribe enterprise-wide. • Tampa General Hospital + Nuance Communications DAX Copilot: Over 500 providers at the health system will begin utilizing the AI ambient scribe. • Texas Oncology + DeepScribe: The statewide oncology practice adopted the AI ambient medical scribe. (ed. note: scribes continue to be hot!) ☎️ AI Contact Center • Clearstep: The AI conversational chat vendor launched a new feature allowing patients to self-schedule specialist visits. 📊 Data & Analytics • InterSystems + CLEAR: The cloud-based patient data service is integrating the identity technology to expedite access to patient records. • WakeMed + Bamboo Health: The health system is adopting the data interoperability and encounter notification service. 🥼 Clinical Decision Support • University Hospitals + Aidoc: The Cleveland-based health system is implementing the AI clinical decision support platform across 13 of its hospitals and additional outpatient locations. 🧑💻 Virtual and At-Home Care • University of South Carolina School of Medicine + Rimidi: The hospital group and an affiliated multispecialty clinic are adopting the remote patient monitoring platform to reduce complications from postpartum hypertension. • Mount Sinai Health System + HealthSnap: The medical center announced a new remote patient monitoring and chronic care management program in partnership with the virtual care management platform. • Wheel: The telehealth company released a new AI-driven virtual care platform designed to enhance the patient experience and offer resources to help partners scale their virtual care services. 💬 Patient Engagement • CipherHealth: The patient engagement solution focused on patient rounding released a new AI summary tool. • DexCare: The care orchestration platform completed a $75M series C funding round 🩼 Durable Medical Equipment • Better Health: The medical device and peer support network completed a $14M funding round. 🧠 Food for Thought: • Silicon Valley Bank released an interesting report on the state of investment in AI in healthcare, including stats on AI usage at healthcare organizations and the impact of leveraging AI on startup valuation. https://lnkd.in/em7AfivT • The journal Critical Care Medicine published an editorial on an “in clinico” evaluation of a machine learning-based early warning system to predict in-hospital deterioration. We found it to be an interesting look at the actual impact of a model’s deployment on care processes and patient outcomes in a critical care setting. https://lnkd.in/eQhZbVKu
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Artificial Intelligence in Healthcare: Revolutionizing Patient Care Imagine a world where diseases could be predicted before they occur, treatments are personalized, and appointments are scheduled at the convenience of patients. Sounds like a dream, right? Well, this is becoming a reality, thanks to Artificial Intelligence (AI) in healthcare. Predictive Analytics and Disease Diagnosis One of the most exciting applications of AI in healthcare is predictive analytics. AI algorithms can sift through vast amounts of data, spotting patterns that humans might miss. These patterns can help predict potential health issues, enabling early intervention. For instance, AI can analyze radiology images to detect anomalies, aiding in the early diagnosis of conditions like cancer. Personalized Treatment Plans We all know that no two individuals are the same. So, why should their treatment plans be? AI is helping to create personalized treatment plans based on a patient’s unique genetic makeup, lifestyle, and health history. It’s like having a tailor for your health, crafting a treatment plan that fits you perfectly! Improving Drug Discovery The traditional drug discovery process can be time-consuming and costly. But AI is changing the game by predicting how different compounds will behave and how likely they are to make an effective drug. This can significantly reduce the time and cost associated with bringing a new drug to market. Enhancing Patient Experience AI isn’t just about doctors and healthcare providers; it’s also about improving the patient experience. AI chatbots and virtual health assistants provide patients with instant responses to their queries, book appointments, and send reminders for medication. They’re like your personal healthcare concierge, available 24/7! Streamlining Administrative Tasks Healthcare staff often have to juggle multiple administrative tasks, from patient scheduling to maintaining patient records. AI can automate these tasks, reducing the workload of healthcare staff and minimizing human error. It’s like having an efficient personal assistant who never takes a break! Challenges and the Road Ahead Despite its potential, the integration of AI in healthcare isn’t without challenges. Data privacy concerns, the need for significant investment in technology, and the requirement for robust regulatory frameworks are some of the hurdles that need to be overcome. But as technology advances and these challenges are addressed, AI’s role in healthcare is set to become increasingly prominent. In conclusion, AI is revolutionizing patient care, making it more personalized and proactive. It’s not a replacement for human healthcare providers; instead, it’s a powerful tool that can augment human capabilities and transform healthcare delivery. As we continue to explore its potential, AI is set to make healthcare more predictive, preventative, and personalized. The future of healthcare is here, and it’s powered by AI!
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AccendoWave - A Pain #Data Company Advanced AI and Machine Learning The integration of AI and machine learning in healthcare is expected to advance, with more sophisticated algorithms aiding in diagnostics, patient care management, and personalized medicine. The health care sector is witnessing a paradigm shift, largely fueled by rapid advancements in AI and Machine Learning. These technologies will not be mere supplementary tools but will instead become integral components of healthcare systems around the world. Their integration represents a monumental leap in the way health care is delivered and experienced. A Top 4 Global Health Equity Solution and Top 15 Global Remote Monitoring Company, AccendoWave, benchmarks objective brain wave pain data (specialty, gender, age) and has nine #pain databases: Emergency Department, Maternal Health, Oncology, MSK, Medical Surgical, ICU, Women, Adults, Seniors to eliminate bias, improve outcomes and reduce health care costs. If desired, AccendoWave can also create customized pain databases for partners that can be accessed on the Datavant platform.
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Topic name :Artificial Intelligence in Healthcare: Revolutionizing Patient Care Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care and quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI’s role in clinical practice is crucial for successful implementation by equipping healthcare providers with essential knowledge and tools. This review article provides a comprehensive and up-to-date overview of the current state of AI in clinical practice, including its potential applications in disease diagnosis, treatment recommendations, and patient engagement. It also discusses the associated challenges, covering ethical and legal considerations and the need for human expertise. By doing so, it enhances understanding of AI’s significance in healthcare and supports healthcare organizations in effectively adopting AI technologies. The current investigation analyzed the use of AI in the healthcare system with a comprehensive review of relevant indexed literature, such as PubMed/Medline, Scopus, and EMBASE, with no time constraints but limited to articles published in English. The focused question explores the impact of applying AI in healthcare settings and the potential outcomes of this application. Integrating AI into healthcare holds excellent potential for improving disease diagnosis, treatment selection, and clinical laboratory testing. AI tools can leverage large datasets and identify patterns to surpass human performance in several healthcare aspects. AI offers increased accuracy, reduced costs, and time savings while minimizing human errors. It can revolutionize personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual health assistants, support mental health care, improve patient education, and influence patient-physician trust. AI can be used to diagnose diseases, develop personalized treatment plans, and assist clinicians with decision-making. Rather than simply automating tasks, AI is about developing technologies that can enhance patient care across healthcare settings. However, challenges related to data privacy, bias, and the need for human expertise must be addressed for the responsible and effective implementation of AI in healthcare.
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Artificial Intelligence holds transformative potential for New Zealand's healthcare workforce, promising to address challenges such as staff shortages, workload burdens, and the need for advanced diagnostic precision. By integrating AI into clinical workflows, NZ's healthcare sector can leverage cutting-edge tools to enhance care delivery and support healthcare professionals in achieving optimal patient outcomes. Globally, healthcare professions face critical workforce shortages, with some specialties predicted to see reductions as steep as 30% by 2030. AI can alleviate these pressures by automating repetitive tasks, enabling healthcare professionals to focus on complex, value-added activities. AI has already demonstrated remarkable success in fields such as radiology and pathology. For instance, computational tools can swiftly analyse large datasets, offering rapid insights that support accurate diagnoses. In Sweden, AI-assisted mammography reduced workloads by 44% while increasing cancer detection rates. Similar advances could revolutionise diagnostic accuracy in NZ, enhancing patient care while reducing the burden on clinicians. Digitisation is a critical step toward maximising AI's potential. Digital platforms enable remote consultations, second opinions, and integration across healthcare systems. Initiatives such as whole-slide imaging and advanced scanners already showcase the ability of AI to streamline laboratory workflows, highlighting its applicability across various medical disciplines. Despite its promise, the adoption of AI comes with challenges, such as ensuring equitable access to technology, maintaining robust data storage solutions, and addressing ethical considerations. Moreover, AI must be embraced as a complement to, not a replacement for, healthcare professionals. As has been noted in other disciplines, "AI won’t replace clinicians, but clinicians who use AI will replace those who don’t." AI represents a pivotal opportunity for NZ's healthcare workforce to address evolving demands while ensuring patient-centred care. By investing in AI-driven solutions, fostering digital literacy, and supporting ongoing research, we can position ourselves as a leader in integrating technology into healthcare, setting the stage for a future where human expertise and AI innovation work hand in hand. Through careful and considered adoption, AI can empower healthcare professionals, optimising outcomes and ensuring the sustainability of NZ’s healthcare system. Aceso Health Digital Health Association (DHA) Samantha Ford
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Last week, I attended the NEJM Group’s online event called “AI in Health Care – Putting Patients First.” The webinar was well-prepared, chaired by knowledgeable hosts, and contained interesting content. I especially I liked that it wasn't just a sales pitch for the vendors on the panel but a more engaging discussion of the benefits and challenges of implementing AI in the healthcare journey for patients. Concepts I want to explore more include what I think of as "de-humanizing" and "re-humanizing" the patient experience. I think of automating tasks that are traditionally hard for humans when I think of de-humanizing the healthcare experience. One example is reviewing radiological exams at volume for signs of disease or tissue damage, which is a difficult task for humans to execute at volume. A technology that de-humanizes this process scans the radiological data, and then alerts a human to investigate all findings in greater detail to make a final diagnosis. The application of AI takes the human out of the process that is best suited for machines and focuses the human where we want them. When I think of re-humanizing applications of AI in healthcare, I think of technologies like AI physician assistants that listen to patient-provider interactions, record the information and then provide the information from the encounter back to both the patient and provider. Dictation systems have been around for a long time, but AI physician assistants capable of analyzing the conversation and providing summaries with highlights and action items are much more than the simple dictation systems of the past. A patient with complex medical conditions in a primary care setting has a lot to deal with during their health encounters. During the encounter, the patient and provider discuss the patient’s conditions, maybe there are questions along with recommendations for one course of action or another. When the interaction winds down the provider furiously types or handwrites notes from memory, leaving the patient to stare at the back of a laptop or top of their doctor’s head. An AI assistant that could listen to the conversation and then provide a summary of the encounter with questions and answers noted separately along with itemized lists of recommendations from the provider is a form of technology that re-humanizes the healthcare encounter by taking out the cutting out the typing and leaving more time for patient engagement. As the slow-moving wheels of technology in the American healthcare system gradually turn towards AI in a variety of settings, there will be some technological hits and misses, but if we put the patient first, as the NEJM Group’s webinar highlighted, the benefits could be tremendous.
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Here’s your recap of last week’s health IT news 🗞️ 👇 🤖 AI Clinician Assistant • Nabla added 31 new languages, and now supports 35 total. They also announced a new enterprise-wide rollout at University of Iowa Health Care. • Rejoy Health closed a Series A funding round of an undisclosed amount with a $125M valuation. • Netsmart released its own AI ambient scribe and announced the acquisition of HealthPivots, a market intelligence company for post-acute care. 🩻 AI Imaging Clinical Decision Support • Viz.ai added Cleerly to its Viz.ai One platform. • RapidAI is partnering with Alaska Stroke Coalition on a three-year project to improve health equity for Alaskan stroke patients. • Paige released a new AI clinical summaries platform. 📈 Data & Analytics • Mindbowser Healthcare announced its HealthConnect CoPilot is now a part of the Epic Vendor Service Program. • Segmed, Inc. announced it closed a $10.4M Series A led by iGan Partners and Advocate Health. 🗄️ Medical Language Models • Harrison.ai announced the launch of a radiology-specific vision language model, Harrison.rad.1, which is currently being made available to select users. 📋 Patient Administration • Phreesia is partnering with the American Academy of Pediatrics on a campaign to increase MMR vaccination. 💼 Provider and Practice Administration • Kontakt.io introduced a new sticker tracking tag for small, flat, or disposable assets. 🔁 RCM • Availity is partnering with Iodine Software to enhance its end-to-end RCM platform. 📱 Patient Support and Communications • Rune Labs released a new AI clinical report feature within its Parkinson’s care plan management app. 🍎 VBC • Kain Capital launched Kain Analytics as a subsidiary VBC analytics solution. • Vesta Healthcare announced a $65M Series C (with new debt financing), including participation from CareCentrix / Walgreens, Kaiser Permanente Ventures, and more. 🧠 Food For Thought • ONC has had a lot going on this summer, so it was interesting to read this sit-down with Assistant Secretary for Technology Policy and National Coordinator for Health IT, Micky Tripathi. Lots of good insight on hot interoperability topics, including HTI-2, payer-provider data exchange, TEFCA, information blocking and more: https://lnkd.in/eAjqGNiF --- Want the latest healthcare tech news delivered to your inbox each week? Sign up here 📬 👉 https://lnkd.in/e2UJ3ckP
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The possibilities with AI in patient care seem boundless! Imagine AI analysing vast amounts of data to assist healthcare professionals in numerous ways. Consider continuous monitoring of vital signs, symptoms, and disease progression, notifying doctors of critical changes needing immediate attention. What about the potential to save lives and lower hospital readmissions? Or AI-powered clinical decision support systems offering evidence-based treatment suggestions? Can AI propose treatment options, dosages, and potential drug interactions, equipping doctors with current information for informed decisions? AI holds immense promise in revolutionising patient care. Discover how innovative healthcare vendors can enhance your practice: 1. AI-Powered Scribing: Streamline patient notes with AI listening in real-time, ensuring accuracy and privacy, while generating referrals instantly. 2. Virtual Assistants: Improve patient access and engagement with AI-driven scheduling and FAQ support. 3. Remote Monitoring: Empower patients and providers with AI-enabled remote tracking of vital signs for chronic condition management. 4. Medical Image Analysis: Rapid diagnosis support for diseases like skin cancer and heart arrhythmias through advanced AI algorithms. 5. Clinical Decision Support: AI tools automate detection and intervention opportunities for chronic diseases, guiding care pathways for clinicians and patients. While the invaluable role of human expertise and the sacred bond between doctor and patient remain irreplaceable, the landscape of healthcare is undergoing a thrilling evolution. Are you noticing a concerted effort from software vendors to integrate these transformative technologies, thereby streamlining your professional endeavors? Present capabilities coupled with forthcoming advancements herald a future where artificial intelligence (AI) revolutionizes operational efficiencies across diverse healthcare roles. Already, AI applications are enriching a myriad facets of our existence. Let's eagerly welcome these innovations, especially benefiting those accustomed to laborious typing methods. Embracing AI represents not only a leap forward but also a commitment to optimizing healthcare delivery and patient outcomes. Unlock the potential of AI in healthcare today and as always visit https://lnkd.in/gYmrJTyi for more information and expert advice.
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The Impact of AI on Healthcare: Improving Diagnosis and Treatment for Tevosys 🏥🤖 Let's explore how AI is making healthcare smarter, more efficient, and more personalized. 🚀✨ How AI is Transforming Healthcare 🤖💉 AI technologies are bringing significant advancements to the healthcare industry. Here’s how: Enhanced Diagnostic Accuracy 🔬 AI algorithms analyze vast amounts of medical data to detect patterns and anomalies. Early detection of diseases like cancer, diabetes, and cardiovascular conditions. Personalized Treatment Plans 📝 AI helps tailor treatment plans based on individual patient data. Optimizes medication dosages and predicts patient responses to treatments. Streamlined Administrative Tasks 📋 Automates routine tasks such as scheduling, billing, and patient records management. Reduces administrative burden on healthcare professionals, allowing them to focus on patient care. Predictive Analytics 📈 AI models predict disease outbreaks and patient readmissions. Helps healthcare providers take preventive measures and allocate resources effectively. Virtual Health Assistants 🩺 AI-powered chatbots and virtual assistants provide 24/7 patient support. Assist with appointment scheduling, medication reminders, and answering health-related queries. Benefits of AI in Healthcare 🌟 The integration of AI in healthcare brings numerous benefits, including: Improved Patient Outcomes 🏆 Faster and more accurate diagnoses lead to timely treatments. Personalized care plans result in better patient recovery and health outcomes. Cost Savings 💰 Reduces unnecessary tests and hospital readmissions. Streamlines operations, leading to overall cost reduction in healthcare delivery. Increased Efficiency ⏱️ Automates repetitive tasks, freeing up time for healthcare providers. Enhances the efficiency of clinical workflows and decision-making processes. Enhanced Patient Experience 😊 Provides patients with quick access to information and support. Personalized interactions and care improve patient satisfaction. How Tevosys is Leveraging AI in Healthcare 🌐 Here’s how we’re making a difference: Collaborations with Healthcare Providers 🏥 Partnering with hospitals and clinics to implement AI-driven technologies. Continuous Innovation 💡 Investing in research and development to stay at the forefront of AI advancements in healthcare. Join the AI Revolution! 💪 Embrace the future of healthcare with Tevosys and see how AI can transform your health journey. Together, we can achieve smarter, more efficient, and personalized medical care. Have questions or want to learn more about AI in healthcare? Drop a comment below or visit our website for more insights! 👇✨ #TevosysAI #HealthcareInnovation #AIinHealthcare #MedicalAdvancements #TechInHealth Caption: Discover how AI is transforming healthcare with Tevosys! Learn more about our innovative AI solutions improving diagnosis and treatment. 🏥🤖
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In today's dynamic healthcare landscape, artificial intelligence (AI) is driving a paradigm shift in how patient care is personalized, diseases are prevented, and wellness is managed. Here's a glimpse into what the future of healthcare looks like with AI: 🔍 Current Trends: AI-driven diagnostics, virtual health assistants, and genomic medicine are paving the way for more accurate diagnoses and personalized treatments. 🚀 Applications: From predictive analytics to personalized treatment plans, AI is optimizing healthcare delivery and improving patient outcomes. 🛡️ Challenges and Solutions: Data privacy concerns and regulatory compliance are critical issues that healthcare systems must navigate while harnessing the power of AI responsibly. 🔮 Future Outlook: AI promises to revolutionize healthcare delivery models by enhancing efficiency, reducing disparities, and empowering patients with proactive health management tools. Join me in exploring how AI is reshaping personalized medicine and paving the way for a healthier future! 🌐 #AI #HealthcareInnovation #PersonalizedMedicine #ArtificialIntelligence #HealthTech #DigitalHealth #FutureOfHealthcare
AI in Personalized Healthcare: Revolutionizing Patient Care In the rapidly evolving landscape of healthcare, artificial intelligence (AI) has emerged as a transformative force, reshaping how individualized patient care is delivered, diseases are prevented, and wellness is managed. AI's ability to analyze vast amounts of data and derive actionable insights is revolutionizing the healthcare industry, ushering in an era of personalized medicine. Current Trends AI-driven diagnostics stand at the forefront of innovation, offering more accurate and timely detection of diseases than ever before. Virtual health assistants powered by AI are enhancing patient engagement and improving access to healthcare services, particularly in remote or underserved areas. Moreover, genomic medicine is leveraging AI to unravel the complexities of genetic data, enabling tailored treatments based on an individual's genetic makeup. Applications The applications of AI in healthcare are vast and transformative. For instance, AI algorithms are streamlining clinical workflows, assisting healthcare providers in making more informed decisions, and predicting patient outcomes with greater precision. In oncology, AI is used to analyze tumor characteristics and recommend personalized treatment plans, leading to improved survival rates and quality of life for cancer patients. Additionally, AI-powered wearable devices and mobile apps are empowering individuals to monitor their health in real-time and adopt proactive measures for disease prevention. Challenges and Solutions However, the integration of AI in healthcare comes with significant challenges. Data privacy concerns loom large, as sensitive medical information becomes increasingly digitized and susceptible to breaches. Regulatory compliance presents another hurdle, with healthcare systems navigating complex laws and standards to ensure the safe and ethical use of AI technologies. Addressing these challenges requires robust cybersecurity measures, stringent data protection protocols, and adherence to evolving regulatory frameworks aimed at safeguarding patient rights. Future Outlook Looking ahead, AI holds immense promise in advancing personalized medicine. Future developments may include AI-driven predictive analytics that anticipate health risks before symptoms manifest, thereby enabling early intervention and personalized preventive care plans. Moreover, AI is poised to revolutionize healthcare delivery models by optimizing resource allocation, reducing healthcare disparities, and enhancing the overall efficiency of medical services. Conclusion In conclusion, AI is not merely a tool but a catalyst for transformative change in personalized healthcare. By harnessing the power of AI-driven innovations, healthcare providers can deliver more precise diagnoses, tailored treatments, and proactive wellness strategies.
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New "Technology" post from THE HILL: Microsoft unveils health care AI tools Microsoft unveiled several new artificial intelligence (AI) tools on Thursday aiming to support health care organizations through medical imaging models, health care agent services and an AI-driven workflow solution for nurses. The announcement detailed how each tool will improve workflow for busy health care professionals. The AI imaging tool, developed in collaboration with partners like Providence and Paige.ai, enables health care organizations to integrate and analyze various data types beyond just text, including medical images, clinical records and genomic data. Microsoft says the tool would allow health care organizations to "rapidly build, fine-tune and deploy AI solutions tailored to their specific needs." Carlo Bifulco, chief medical officer of Providence Genomics and a co-author of the Prov-GigaPath study, noted the models may help with cancer research and diagnostics. BestReviews is reader-supported and may earn an affiliate commission. Best Prime Day 2024 Deals Products still on sale after Prime Big Deal Days Beats headphones and tablets remain marked down Make sure you're stocked with Apple products Shop Now “These models can complement human expertise by providing insights beyond traditional visual interpretation and, as we move toward a more integrated, multimodal approach, will reshape the future of medicine," he said. The AI tools will also help nurses and clinicians time on administrative tasks. According to a report from the Office of the Surgeon General, nurses will spend 41 percent of their time on documentation alone. The tools aim to rapidly decrease that strain on medical professionals by streamlining those administrative tasks, such as through drafting flow sheets for review. Additionally, Microsoft announced a new public preview of an AI health care agent service, which would aid in appointment scheduling, clinical trial matching, patient triaging and more. The statement detailed that medical organizations can "leverage the health care agent service to help create connected patient experiences, improve clinical workflows, and empower healthcare professionals." “We are at an inflection point where AI breakthroughs are fundamentally changing the way we work and live,” said Joe Petro, corporate vice president of healthcare and life sciences solutions and platforms at Microsoft, in a statement. "Microsoft’s AI-powered solutions are helping lead these efforts by streamlining workflows, improving data integration, and utilizing AI to deliver better outcomes for healthcare professionals, researchers and scientists, payors, providers, medtech developers, and ultimately the patients they all serve," he added. While many of the newly announced solutions are in the early stages of development, healthcare organizations will be testing and analyzing the systems "to avoid undesirable behaviors, such as harmful content, bias, misuse and...
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Recovering healthtech entrepreneur and self-confessed ABM nerd
5moI love these. So helpful. Have you thought about doing this as LinkedIn Newsletter? I would love to subscribe