Arvind Thiagarajan

AI in Healthcare is a hot topic. But what is the reality of it today vs a few years from now? This is what I wanted to dive into with our good friend Ankit Jain. This was a great conversation on AI and the Trough of Disillusionment. Trough of Disillusionment is a phase in the Gartner Hype Cycle that occurs when interest in a new technology wanes after initial hype and expectations are not met. Internet, cell phones, etc all went through this phase of failed ventures until the real use cases started to be come common place. It's hard to remember that the internet went through this. We had a wave in early 2000 and then it all broke when it wasn't being adopted as fast or just wasnt ready for real prime time. I think we are in this phase right now with AI being a hot topic and people can see the potential. Yet, full scale practical changing of my entire world or job isn't there yet (for most things). check it out... https://lnkd.in/gjg6w_m2

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🦷⏳ Understanding Tooth Infections: Timelines and Treatment for Dental Health ⏳🦷 Concerned about the potential severity of a tooth infection? Let's address this critical topic in our latest blog post, offering insights into timelines and treatment options for dental emergencies. 📝💡 At Dental3DU, we prioritize your oral health and safety. In our newest blog post, we delve into the question, "How long until a tooth infection kills you?" providing essential information on recognizing symptoms, seeking timely care, and understanding the potential risks associated with untreated infections. 💡 From understanding the progression of a tooth infection to exploring the importance of prompt dental intervention, our blog post is your go-to resource for protecting your well-being and preserving your smile. Ready to prioritize your dental health and well-being? Click the link below to read our latest blog post: [Link: How Long Until a Tooth Infection Kills You? Insights and Timelines for Dental Emergencies](https://lnkd.in/gCtu4A7D) Empower yourself with knowledge and take proactive steps towards a healthier, happier smile! 💪😁 #OralHealth #ToothInfection #DentalEmergencies #DentalCare #Dental3DU #BlogPost

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AI Chatbots are promising patient info source for Glaucoma #AIChatbots 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: A study led by Natasha N. Kolomeyer, MD, evaluated the responses of AI chatbots including ChatGPT, Bing, and Bard in answering glaucoma-related patient questions. The accuracy of AI chatbot responses was slightly below that of American Academy of Ophthalmology (AAO) patient education brochures. ChatGPT demonstrated the most comprehensive responses, while Bing had the lowest word and character counts. The study suggests that AI chatbots can be a useful supplementary source of glaucoma information with improvements in accuracy and readability. Hashtags: #chatGPT #AIChatbotGlaucomaInfo #PatientEducationAI

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The future of healthtech is poised to revolutionize the global healthcare landscape, transforming how we diagnose, treat, and manage diseases. With advancements in artificial intelligence, machine learning, and data analytics, healthtech is driving personalized medicine to new heights. AI algorithms can now analyze vast datasets to identify patterns and predict patient outcomes with unprecedented accuracy, enabling more tailored and effective treatments. Telemedicine and remote patient monitoring are reshaping patient-doctor interactions, making healthcare more accessible, especially in underserved regions. The integration of wearable devices and IoT in healthcare allows for continuous monitoring of vital signs, providing real-time data that can preemptively identify health issues and facilitate timely interventions. Genomics and biotechnology are also at the forefront of healthtech innovations. CRISPR and other gene-editing technologies promise to eradicate genetic disorders and pave the way for advanced therapies. Personalized medicine, driven by genetic profiling, ensures that treatments are specifically designed for an individual's genetic makeup, enhancing efficacy and reducing adverse effects. Blockchain technology is revolutionizing healthcare data management by ensuring secure, immutable, and transparent patient records. This enhances data integrity and fosters patient trust. Additionally, augmented reality (AR) and virtual reality (VR) are being leveraged for medical training and patient treatment, providing immersive and effective educational tools and therapeutic interventions. However, the rapid evolution of healthtech presents several challenges. Data privacy and security are paramount, given the sensitive nature of health information. Regulatory frameworks must evolve to keep pace with technological advancements, ensuring patient safety without stifling innovation. Interoperability of systems remains a significant hurdle, as seamless integration across different healthcare platforms is crucial for effective data sharing and patient care. The future of healthtech holds immense potential for improving global health outcomes, making healthcare more efficient, accessible, and personalized. The continuous collaboration between technology developers, healthcare providers, and regulators will be essential in navigating these challenges and realizing the full potential of healthtech innovations. As we move forward, a critical question remains: How can we best balance the rapid advancement of healthtech with the need for robust data privacy and security measures to protect patient information? #HealthTech #DigitalHealth #FutureOfHealthcare

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Thank you for sharing this insightful perspective, Dr. Tazeen H. Rizvi. The transition from reactive, episodic care models to proactive, preventive ones marks a significant advancement in healthcare. Leveraging emerging digital health technologies such as mobile health apps, wearable devices, and telemedicine platforms indeed opens new avenues for enhancing healthcare access and delivery. Key points you mentioned resonate deeply with the ongoing digital transformation in healthcare: 1. Proactive and Preventive Care: Embracing digital tools enables healthcare systems to shift towards proactive care models, focusing on prevention and early intervention. This not only improves patient outcomes but also reduces the overall burden on healthcare systems. 2. Accessibility and Inclusivity: Digital health technologies are making healthcare more accessible and inclusive. Tools like telemedicine platforms bridge geographical gaps, while mobile health apps and wearables empower patients to manage their health proactively. 3. Data Analytics: Utilizing data analytics to gain insights from electronic health records, patient surveys, and social determinants of health is crucial for informed decision-making and personalized care. This data-driven approach enhances the effectiveness and efficiency of healthcare delivery. 4. User-Centric Design: It is essential to design and implement digital health solutions with a focus on user needs, culture, education, and literacy. This user-centric approach ensures that technologies are adopted widely and used effectively. 5. Addressing the Digital Divide: Overcoming the digital divide is critical for equitable healthcare delivery. Ensuring access to internet and technological infrastructure, particularly in underserved regions, is a priority. Additionally, addressing language and cultural barriers is vital for effective communication and utilization of these technologies. 6. Maintaining the Human Touch: Despite the vast potential of digitized healthcare models, preserving empathy, dignity, and compassion in patient care remains indispensable. Technologies should enhance human interaction and provide personalized experiences rather than replace the human touch. 7. Ethical and Inclusive Use of Technology: To avoid perpetuating health inequities, digital health solutions must be developed and used ethically. This involves addressing inherent biases, ensuring health data sources are representative and inclusive, and implementing comprehensive guidelines on patient safety, privacy, and consent. By focusing on these areas, we can harness the power of digital health technologies to transcend existing disparities and deliver more equitable healthcare solutions. The potential for a more accessible, inclusive, and affordable healthcare system is immense, and with thoughtful implementation, we can achieve this vision. #DigitalHealth #eHealth #HealthTech

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Exciting News: How AI is Revolutionizing Healthcare I'm thrilled to share how artificial intelligence (AI) is reshaping the landscape of healthcare, transforming diagnostics, patient care, and treatment strategies. As a mathematician, software development expert and spending last 20 years building Healthcare IT service, I'm excited about these groundbreaking developments that are improving patient outcomes and enhancing the efficiency of our healthcare systems. Let's delve into some fascinating examples of how AI is making a tangible impact: Enhanced Diagnostics: AI-powered imaging systems are now assisting radiologists in identifying intricate patterns and abnormalities within medical images, significantly boosting diagnostic accuracy and ultimately improving patient care. Personalized Patient Care: AI algorithms are enabling healthcare providers to swiftly identify critical patient messages, allowing for prompt responses and prioritized care, which is crucial in urgent medical scenarios. Predictive Analytics: AI-driven models are revolutionizing patient management by forecasting readmissions and identifying risk factors through comprehensive data analysis. This proactive approach leads to better interventions and outcomes for patients. Virtual Healthcare Assistants: AI-powered virtual assistants and chatbots are revolutionizing patient experiences by providing personalized healthcare advice and answering patient queries promptly, ensuring enhanced communication and satisfaction. Medication Management: AI systems are optimizing medication adherence by analyzing patient data, identifying usage patterns, and delivering personalized reminders and recommendations, thus improving overall treatment effectiveness. In conclusion, we stand at the forefront of a technological revolution in healthcare. AI and ML technologies are harnessing vast patient data to personalize care, streamline diagnostics, and optimize treatment plans. This convergence of technology and human touch is revolutionizing patient engagement and empowering healthcare professionals to focus more on what truly matters—providing exceptional care. We are witnessing the dawn of a new era where AI seamlessly integrates with healthcare, promising endless possibilities for improving patient outcomes and transforming our approach to wellness. Together, we are exploring the limitless potential of AI in healthcare, and the future looks incredibly promising! 🌱 #HealthcareInnovation #AIRevolution

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A great summary on #TechInvolvement: Tech companies have the capabilities to gather, organise, and analyse individual health data using consumer devices. This has the potential to leapfrog maturity stages if public infrastructure is not sufficiently developed. However, they can not fully replace a fully digitised national #healthsystem #digitalHealth

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This is about #staffing. Use of #AI is sold to hospital administrators as a way to hire fewer nurses and reduce the highest cost in an operating #budget. #Nurses are no more “anti-tech” than #doctors are. We clinicians see the power and promise of technology, but have seen repeated (mis)use of technology that *could* serve humans - patients and clinicians - in #healthcare but instead is deployed to serve budgets at the expense of humans. Before you read this as “nurse are anti-tech”, dig deeper. What drives that distrust? What is the past history? Even in 2018 in Boston, recall #nursing strike against different #technology in the #NICU or #neonatal #ICU, akin to a pager, that would enable a #nurse to cover more patients from a greater physical distance. Overall, speaking as both a patient and a #doctor, having a nurse be physically close to a patient does matter, both for #safety and for #patientexperience. Reducing bedside presence of nursing by #AI is not how we should be deploying AI. At my mother’s end-of-life, parts of which were a literal horror show, much of what drove bad behaviors that was nursing shortages and hourly cost of travel nurses. The nurse manager knew each hour my mother lived was more expensive travel nurse time. My family - like many families were in #COVID - was bullied to sign a #DNR and then to disconnect. This would save the hospital money with less nurse pay. (I can’t rule out bias or -isms as well.) This was at the most stressful moment of our lives, after the system had already failed to protect my mother. Having been in the executive suite myself, and with 70% of hospital board members from banking and finance, I know too well how hospitals are run and how hospital administrators think and decide. There are a lot of places to apply AI humanistically. Rather than frame this as nurses protesting AI, understand the past history as well as the incentives of AI in hospitals. Nurses are concerned about patient safety.

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AMA surveyed over 1000 #physicians to understand their sentiments around #artificialintelligence. Following are some of the insights that were gained from the survey: 1.     65% of physicians 👩‍⚕️ 🧑‍⚕️ who were surveyed see an advantage to #AI. 2. 41% of physicians are equally excited and concerned about the potential for #AIinhealthcare. 3.     Physicians were mostly interested in AI tools that can help them reduce their administrative burden 💻, including documentation (54%)🗒️  and prior auth (48%). 4.     Common use cases included the creation of discharge instructions, progress notes (14%), billing codes,  visit notes (13%), translation services (11%), and assistive diagnosis (11%). 5.     Physicians found AI tools most promising in enhancing diagnostic abilities (72%) 🩻🩺, streamlining workflows (69%), and improving clinical outcomes (61%). 6.     The highest areas of concern were around AI tools impacting patient privacy (41%) and patient-physician relationships (39%). 7.     Data privacy assurances, not being held liable for AI-made errors and malpractice insurance coverage were noted as the top three attributes that need to be addressed in order to increase the adoption of AI tools among physicians 8.     80% of physicians indicated transparency as a key for AI tools 9.     Just over 1 in 5 use #ChatGPT in their professional life and a third use it in their personal life. #healthtech #innovation #futureofhealthcare #nlp #generativeAI

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Exploring the intersections of robotics, AI, and automation, we're setting new standards in healthcare.

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🚀 Unpacking the Biden Administration's AI Executive Order: Insights for Radiology 🚀 In their detailed analysis, Drs. Vrushab Gowda, MD, JD, Dr. Keith J. Dreyer, and Bernardo Bizzo provide a nuanced look at how the recent executive order on AI will impact radiology. Their findings highlight: ➡ A new "security by design" mandate requiring AI tools in healthcare to adhere to high safety and equity standards. ➡ Increased federal scrutiny on AI tools, especially those used in patient care. ➡ A significant push towards interagency coordination to streamline AI regulations and support innovation. Radiology professionals: it's time to gear up for these regulatory changes and contribute to shaping future policies. Dive into the full discussion here: https://lnkd.in/gr9BkgHT #AI #Radiology #HealthTech HOPPR #GenAI Marty Stempniak Radiology Business Woojin Kim

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This framework serves to highlight the need for continuous consideration of equity throughout the development and implementation of AI and machine learning-enabled medical devices. The figure presents a framework for the Total Product LifeCycle equity expansion. It details various phases of the lifecycle—such as conception, design, development, validation, access, and monitoring—highlighting the potential for either positive or negative impact on health equity at each stage. ✍🏻 Abràmoff, M.D., Tarver, M.E., Loyo-Berrios, N. et al. Considerations for addressing bias in artificial intelligence for health equity. npj Digit. Med. 6, 170 (2023). DOI: 10.1038/s41746-023-00913-9

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An engaging review; endorses the advancements in CNN, while underscoring the need for prospective studies to assess its effectiveness in real-time clinical settings. #mamogram #AIinHealthcare #AI #radiology #breastcancer #oncology https://lnkd.in/eYiQax6U

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The latest lineup of 7 cutting-edge resolver models are designed to enhance clinical entity mapping and coding accuracy. These models leverage advanced natural language processing to seamlessly map medical entities and concepts to standardized codes, facilitating streamlined data analysis and healthcare decision-making. Each model specializes in precise code assignment within specific medical domains, from drug ingredients to veterinary-related entities. Dive into our resolver models and empower your applications with state-of-the-art clinical entity resolution. Try Healthcare NLP: https://lnkd.in/dPpr_r9B Full Release Notes: https://lnkd.in/dSzMkM9H #ClinicalEntityResolution #NLP #HealthcareAI #MedicalCoding #DataAnalysis #HealthcareDecisionMaking #EntityMapping #MedicalNLP #AIinHealthcare #HealthcareTechnology

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𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗿𝘀 (UPIs) are crucial for accurately identifying patients, preventing medical errors, facilitating seamless data sharing across healthcare providers, enhancing patient safety and care quality, improving operational efficiency, and enabling robust data analytics for population health management. By reliably matching patients to their comprehensive medical records, UPIs reduce the risks of wrong treatments, duplicate testing, and incomplete information, while promoting care coordination, informed decision-making, and cost savings through streamlined administrative processes and reduced redundancies. The current challenges in implementing universal patient identifiers (UPIs) revolve around privacy and security concerns over a centralized database containing sensitive health data, lack of a comprehensive national framework and infrastructure, legislative barriers prohibiting the use of unique health identifiers, interoperability issues with existing healthcare systems, and the substantial costs and coordination efforts required for a nationwide implementation across various stakeholders. Implementing universal patient identifiers (UPIs) across the European Union could involve developing a European Health Identifier (EHI) system based on family components or anonymized national identifiers, leveraging existing international standards and frameworks, establishing a centralized or federated system for assigning and managing UPIs, and addressing legal and regulatory barriers through robust governance frameworks and security measures. While challenging, a harmonized UPI system could facilitate cross-border data exchange, improve patient safety, enhance care coordination, and enable reliable European public health statistics. #universalpatientidentifier #patientsafety #empowerment #digitalhealth #digitaltwin #publichealth #medicalrecords #ehds

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The future of health tech is shaped by key trends promising to redefine healthcare delivery and patient experiences. One pivotal trend is the increasing integration of artificial intelligence (AI) in clinical settings. AI algorithms enhance diagnostic accuracy, predict patient outcomes, and personalize treatment plans. This technology's ability to analyze vast datasets quickly and accurately can transform how healthcare providers make decisions and manage patient care. Explore how AI is revolutionizing healthcare with enhanced diagnostics and personalized treatment plans. Discover the future of patient care in the era of health tech innovation in our latest article - https://buff.ly/4b9TTAH #healthtech #investing #AIwellness #digitalhealth #ecommerce #investmentstrategies #wellnessindustry #AItechnology Subscribe to the Evolving HealthTech newsletter here: https://buff.ly/44pGPE0

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