Khan Siddiqui, MD

Despite adoption hurdles, healthcare is all-in on Generative AI A.I. VALI INC. Azar Azad AzadMedica Inc. Sassan Azad, M.Sc., ACRP-CP, PMP #healthcare #generativeAI #AI #responsibleai #artificialinteligence

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This isn't a post about #AI, but about data foundation and #interoperability in #healthcare. The demonstration of AI through #LLM is not sexiest part of this presentation. There's no silver bullet, we should know that at this point. Instead, I draw your attention to the rich discussion around the applicability of #OpenEHR and #HL7 #FHIR standards, and the importance of understanding why each of these #standards was developed and what for. Data definitions, data schemas, and how we apply standards to structure and represent information, both in storage and transportation, are key. Any further comments from me would be spoilers. I hope you enjoy the presentation and share your point of view, folks. Have a great week!

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If health systems master the art of delivering a world-class consumer experience in urgent care, they can replicate this success across their entire operation, becoming market leaders and thriving in the long term. This is the core thesis of what we do at UCP Merchant Medicine. For nine years, UCP Merchant Medicine has partnered with 68 healthcare operators, most of whom are health systems, to create internal capabilities that allow them to thrive in consumer experience excellence. This isn’t just about having a world-class urgent care platform, this is about owning the future and the capabilities to expand these experiences across the broader health system. As healthcare shifts towards a consumer-driven model, the need for health systems to adapt is more critical than ever. Patients now have unprecedented freedom to choose their care providers, with 45% researching providers and costs before choosing a health plan, and 44% before making an appointment, according to McKinsey’s consumer Health Insights Survey. These improvements are not just numbers; they're about real people getting better access to the care they need when they need it in a way that they will love. This is what we stand for at UCP Merchant Medicine. Join us as we continue to innovate and lead the way in making healthcare more responsive, efficient, and patient-centric. Together, we can transform the future of healthcare! #HealthcareInnovation #PatientCare #UrgentCare #HealthcareLeadership #UCPMerchantMedicine Intellivisit Solutions

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The integration of AI in clinical decision support systems presents an unprecedented opportunity to bridge gaps in healthcare! Without careful design and implementation, however, it risks amplifying existing disparities. Ensuring equitable AI deployment can enhance healthcare processes by providing consistent, unbiased support across diverse patient populations, ultimately enabling a future where quality care is accessible to all, regardless of background or socioeconomic status. #HealthEquity #Healthcare #AI

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70% of hospitals participate in healthcare interoperability. Healthcare #interoperability is growing across hospitals, but gaps remain, especially in data exchange with long-term care and behavioral health providers. CapMinds offered health information exchange(#hie) and health interoperability (#fhir, #hl7, #mirthconnect) to its various clients across the specilaity including #behavioralhealth #mentalhealth

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🌟 Generative AI and Healthcare Transformation: A New Era of Innovation 🌟 I am constantly asked about #AI applications for healthcare transformation. I continue to take people back to the pain points or problems being solved. The healthcare industry is undergoing a significant transformation, driven by the integration of generative AI. This revolutionary technology is currently reshaping the way we approach care management, early disease detection, and administrative tasks. Early Benefits of Generative AI: Enhanced Care Management: AI serves as a "co-pilot" for healthcare professionals, assisting in managing patient care more efficiently and accurately. This leads to improved patient outcomes and more personalized care plans. Early Disease Detection: AI's ability to analyze vast amounts of unstructured data enables early identification of diseases, potentially saving lives and reducing healthcare costs. It's a game-changer in preventive healthcare. Reducing Clinician Burnout: By automating repetitive administrative tasks, AI allows clinicians to focus more on patient care. This not only improves job satisfaction but also enhances the quality of care provided. Affordability and Efficiency: AI-driven processes streamline operations, making healthcare more affordable and accessible. From optimizing workflows to reducing operational costs, AI is paving the way for a more sustainable healthcare system. Challenges and Considerations: Ethical and Legal Frameworks: Ensuring AI is used responsibly requires robust ethical, legal, and policy frameworks. Trustworthy AI adoption is crucial for patient safety and health equity. Technology Infrastructure: Organizations need to update their technology infrastructure, including cloud capabilities, to fully support AI implementation. As we embrace these advancements, it's essential to stay informed and engaged in the conversation about how AI can continue to transform healthcare for the better. #HealthcareTransformation #GenerativeAI #HealthTech #Innovation #AIinHealthcare Thanks to sources McKinsey & Company (https://lnkd.in/g7HZHEST) and MedCity News (https://lnkd.in/gi95t4qJ)

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The evolution of healthcare AI models, from LLMs to LMMs, is profoundly advancing care, patient engagement, and outcomes, particularly in hyperpersonalization and cancer care. These sophisticated AI systems analyze vast datasets to deliver highly personalized treatment plans, enhancing the precision of cancer therapies and patient interactions. As we harness the transformative power of LMMs, a crucial focal area for future exploration is the integration of responsible AI principles—fairness, privacy, equity, transparency, and accountability—throughout the model development process. This ensures that advancements in AI not only drive innovation but also uphold the highest standards of ethical integrity and patient trust. It was great to read the open-access paper released by Google and DeepMind highlighting their newest artificial intelligence tools intended for use in healthcare. An insightful article by Emma Beavins. #AIinHealthcare #LMM #PersonalizedCare #ResponsibleAI #PatientEngagement

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The defining factor isn't the size of the company or startup, but the vision behind it. Take OpenAI, for instance. Until last year, unless you were deeply embedded in the ML world as a computer scientist/researcher, or enthusiast, you might not have heard of OpenAI. Meanwhile, a giant like Google was dominating the scene. However, a few years back, OpenAI was just another small startup. Now, it's rapidly evolving into a major player in big tech. Why and how? It comes down to having a long-term vision, a clear roadmap, patience, and solid execution (i.e., talents). Even in the context of healthcare AI, where (small) startups face many challenges (including the ones mentioned), the principles of vision and strategy apply. While merging with big tech might seem like an option for some, if a startup truly believes in its vision and has a well-defined path to achieve it, it should forge ahead independently. The landscape is evolving, and like OpenAI, today’s small startups with clear, visionary goals could be tomorrow's industry leaders. #starup #founders #openai #google #healthcare

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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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Modern Healthcare's Digital Health Summit in Chicago explored key components of healthcare's transformation, from AI in healthcare to patient trust and the path ahead for telehealth. ⚕ #AIinHealthcare is accelerating to alleviate administrative burden on clinicians. Health systems are tapping AI to bring patient-doctor conversations into the electronic medical record. "AI-enabled voice transcription products went from five in the market to 30." ⚕ Adoption of AI #medicalscribe technology is growing. This tech is designed to improve the quality of office visits by supporting more personalized interaction with patients. "Physicians can focus on the patient in front of them while the conversation is captured by a smartphone device with generative AI." ⚕ Data and proactive communication are at the center of #patienttrust with digital health solutions. The “why” data is collected should be discussed more often along with the "what" is done with data. "Tell patients how data can help them. Would our thoughts on healthcare data privacy change if we knew sharing data could improve outcomes?" ⚕ Despite the current headwinds on #telehealth, there continues to be a bullish view on how the tech can improve chronic condition management, engage patients, and build a stronger connection between patients and their doctors. “Telehealth has improved the patient experience when it is in the mix with in-person visits and personalized treatment plans." #DHSummit #healthcareinnovations #physiciansupport

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UCSF to Develop AI Monitoring Platform for Clinical Care Platform aims to bridge the gap between the rapid evolution of AI technologies and the need for robust, ongoing assessment of their efficacy, safety, and equity

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The true power of AI in healthcare lies not just in automation, but in its ability to analyze vast amounts of data to predict and prevent problems and ultimately create a more proactive and intelligent healthcare system! As AI refines its predictive capabilities, we're seeing healthcare move from a system that emphasizes reaction and treatment to a future of personalized and preventative care, fundamentally changing how we approach population and patient health. #AI #Healthcare #PatientCare

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As we move through 2024, the digital health landscape is undergoing a remarkable transformation. Here are the top trends that are defining the industry, and how Remote Patient Monitoring (RPM) and Chronic Care Management (CCM) technologies are driving these changes: 1️⃣ : AGI's Advancements in Healthcare • AGI plays a key role in drug development to cost optimization. • RPM and CCM leverage AI/ML to process patient data • AI governance in CCM ensures transparency and addresses ethical concerns. 2️⃣ : Accelerating Data Interoperability • RPM and CCM enable unified patient records and advanced analytics. • Supports data exchange and meaningful insights across systems. 3️⃣ : Retailers as Healthcare Providers • Retail clinics are expanding into chronic disease management. • RPM and telehealth extend retailers' reach as healthcare providers. • CCM platforms integrate care pathways across settings. 4️⃣ : Digital Obesity Care and Personalization • RPM monitors lifestyle factors for a holistic obesity care approach. • CCM integrates personalized behavioral interventions for weight management. 5️⃣ : Nutritional Interventions in Healthcare • RPM tracks nutritional habits, providing insights for food-as-medicine. • CCM incorporates personalized dietary plans into care plans. 6️⃣ : Mental Health and Well-Being Solutions • RPM enables remote monitoring of mental health, enabling timely interventions. • CCM seamlessly integrates mental health support into chronic care. 7️⃣ : Women's Health Takes Center Stage • CCM allows personalized care plans and data-driven insights for women's health. • RPM provides valuable data to support women's healthcare decision-making. 8️⃣ : GenAI's Growing Role Across Healthcare - RPM and CCM facilitate GenAI integration, from diagnostics to treatment. - GenAI algorithms enhance clinical decision support. 9️⃣ : Convergence of Wearables and At-Home Devices - RPM enables continuous monitoring of vitals and chronic conditions through wearables. - RPM fosters increased patient engagement and active participation in care. Are you ready to transform your connected care offerings and stay ahead of the digital health curve? DM us now!!

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Introduction Dr. Gaurav Gupta, an AI enthusiast, presents a comprehensive overview of how Artificial Intelligence (AI) can enhance patient engagement and follow-up care. The presentation focuses on utilizing AI tools such as chatbots and ChatGPT to streamline healthcare processes, improve patient outcomes, and reduce the workload of healthcare professionals. Learning Objectives Engaging Patients: Utilizing AI-driven chatbots to assist patients. Follow-up Care: Employing ChatGPT to create discharge summaries, patient education materials, and more. AI in Research: Leveraging AI tools to enhance research capabilities. Chatbots in Healthcare Definition: Chatbots are software designed to simulate conversation. Types: Rule-based and AI-based chatbots. Uses in Healthcare: Scheduling appointments Providing information and reminders Offering mental health support Advertising healthcare services Benefits: 24/7 support Reduced waiting times Improved patient engagement Allows healthcare professionals to focus on complex tasks Examples: Babylon Health Woebot Reducing Workload with ChatGPT Discharge Summaries: ChatGPT can generate discharge summaries, significantly reducing the administrative burden on healthcare providers. Example of a mock patient vignette demonstrates the effectiveness of using ChatGPT for this purpose. Patient Handouts: ChatGPT can create customized patient handouts for various needs, such as dietary advice for specific conditions. Example: Creating a diet chart for an 8-year-old gymnast with growing pains. AI in Research Tools and Platforms: Consensus.app: A platform for conducting AI-enhanced research. Users can search for topics such as alternative treatments for neonatal jaundice or the impact of weight training on teenagers. AI Toolkit: Various AI tools available to generate images, music, videos, presentations, and more. Recommended websites: There’s an AI for That: Link Future Tools: Link Super Tools: Link Conclusion The integration of AI in patient engagement and follow-up care offers numerous benefits, including improved efficiency, better patient outcomes, and enhanced research capabilities. By leveraging tools like chatbots and ChatGPT, healthcare professionals can provide more personalized and effective care while reducing their workload. Call to Action Explore the use of AI tools in your practice to enhance patient engagement and follow-up care. Stay updated with the latest AI technologies and their applications in healthcare. Utilize platforms like Consensus.app and other AI resources to support your research and practice. For more detailed insights, check out the full presentation on Slideshare!

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Generative AI in Healthcare: Opportunities and Challenges: Generative AI is increasingly integrated into healthcare, led by tech giants and startups. Google Cloud, Amazon AWS, and Microsoft Azure are developing tools for patient care and data analysis. Startups like Ambience Healthcare and Abridge are advancing generative AI apps for clinicians. However, skepticism remains regarding its readiness: Mixed Opinions: While investments soar, only half of US consumers see the potential for improving healthcare accessibility and affordability. Limitations and Errors: Concerns arise over generative AI's ability to handle complex medical queries and emergencies, highlighted by studies showing high error rates in diagnostic tasks. Ethical Considerations: Generative AI's potential to perpetuate biases and exacerbate healthcare disparities is under scrutiny Future Prospects: While challenges persist, there's optimism for generative AI's role in areas like medical imaging and administrative tasks, provided rigorous science and governance ensure patient safety. In light of evolving regulations and ethical considerations, the widespread implementation of generative AI in healthcare requires careful evaluation to ensure patient well-being and industry trust. https://lnkd.in/euFtkbqs

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Several #AI leaders in the #healthcare space have joined me for conversations on the #HealthcareIsHard podcast, and we touched on issues like governance and guidelines to ensure powerful new technology is used thoughtfully and responsibly. But we only really scratched the surface. This is a critically important conversation in healthcare, and Brian Anderson, MD is leading the charge as co-founder and CEO of the Coalition for Health AI (CHAI). Under Brian’s leadership, CHAI is very conscious about being inclusive of the entire healthcare ecosystem, so whether you represent a provider, payer, large tech company, startup or anyone else in the healthcare space, this is a conversation you should hear. https://lnkd.in/eZEVDdC2

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Will Generative AI Transform Healthcare? Uncover the Opportunities and Challenges. Generative AI is poised to transform healthcare, offering unprecedented capabilities in data management and patient interaction. As investments from both tech giants and innovative startups flood this emerging sector, the potential for groundbreaking developments is significant. However, this enthusiasm is tempered by considerable concerns. The readiness of AI systems, coupled with issues of bias and privacy, has prompted calls for a cautious approach. Healthcare professionals and industry advocates stress the importance of establishing stringent regulatory frameworks and conducting thorough testing to ensure that AI technologies are both safe and effective. For investors, the integration of AI into healthcare presents a unique dual opportunity: to lead the charge in technological innovation while addressing the ethical and practical challenges it brings. This careful balance of advancement and accountability is crucial in navigating the future landscape of healthcare technology. https://hubs.la/Q02t4NwV0 What are your views on AI’s role in modern healthcare? Join the conversation below and share your insights.

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