Reema Poddar

Tune in to hear Vaishali Kamat explore how AI and automation are revolutionizing healthcare, even in maternity care deserts. Discover how these innovations are helping bridge the gap and improve access to care. #HealthcareInnovation #AI #MaternityCare

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💊 🔬 KPIs (Key Performance Indicators) for Generative AI Applications in Healthcare and Life Sciences: Large Language Model (LLM) Evaluation As generative AI (GenAI) applications permeate the healthcare and life sciences industry, it's crucial for senior executives to track performance and drive continuous improvement. A successful GenAI adoption strategy would warrant tracking KPIs for all stages of the application design - LLM Evaluation, Prompt Engineering & RAG Architecture, and GenAI Application Output Quality. In a 3 part series, I will cover KPIs for LLM evaluation, Prompt Engineering & RAG Architecture, and GenAI Application Output quality. Here are a few Key Performance Indicators (KPIs) to consider as you venture into LLM (Large Language Model) evaluation: 1. 📝 Domain Understanding: Test the base LLM against a domain-specific test dataset to ensure it understands healthcare and life sciences concepts in a zero-shot testing scenario. Why is this important? You want to make sure the base LLM can understand and interpret the user queries to decide the best tools, knowledge base, and responses. Here are the detailed steps you will need to take - > 📚 Start with domain-specific test dataset: Curate a diverse dataset containing relevant healthcare and life sciences examples, terminology, and use cases. Include edge cases and uncommon scenarios to challenge the LLM's understanding. > 🎯 Conduct Zero-Shot Testing: Test the base LLM's performance on the curated dataset without any fine-tuning or task-specific training. This evaluation will reveal the LLM's baseline understanding of the domain and identify areas for improvement or specialization. > 🔄 Iterative Improvement: Based on the zero-shot testing results, collaborate with domain experts to fine-tune the LLM for better performance. Regularly update and test the model against new examples and emerging trends in healthcare and life sciences. 2. 📈 Accuracy: Assess the quality of predictions or outputs using relevant evaluation metrics (e.g. F1 Score, AUC-ROC), ensuring human experts review and validate the results. Work with your data science team to help you with accuracy evaluation. 👉 In highly regulated industries, the ability to document, repeat, and govern the use of LLMs is critical to responsible AI deployment. If any LLM makes it to production and influences downstream business decision at your firm, the audit trail of evaluation strategy and process should be documented and be repeatable. As such, consider hardening your LLMOps (LLM Operations). Talk to your technology partner on how they can help automate your LLMOps pipeline. 💬 Share your experiences and thoughts on LLM Evaluation below! 📢 Subscribe to my newsletter to get access to strategies and practical guidance on accelerating adoption of generative AI within your organization. Get started here: https://lnkd.in/g3bdneR7 #genai #ai #llmops #aws

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💡📈 Building a Strong Business Case for GenAI Investment Few Healthcare and Life Sciences organizations have begun adopting GenAI across their operations, and are already seeing tangible benefits (https://shorturl.at/fgrPZ). Initial reported use cases are focused on efficiently extracting and searching for relevant information within notes, reports, and other documents, and creating personal employee productivity tasks (https://shorturl.at/beqR1). Adoption of GenAI is particularly high in the areas of operations, research, and administrative tasks. 🙄 While GenAI adoption is surging, many use cases continue to mimic the user experience of ChatGPT. It's almost as if the industry is being constrained by the first mover, rather than exploring the full potential of these powerful AI models. Still, most firms continue to struggle to convince stakeholders to invest in GenAI. As leaders, you need to be able to showcase its potential impact on your organization and balance implementation costs against the cost of maintaining the status quo. Here are key points to consider: 1. 💰 Cost Comparison: Analyze the upfront and ongoing costs of implementing GenAI versus maintaining current processes, highlighting potential long-term savings and benefits. 2. 📊 Return on Investment (ROI): Calculate the overall financial return from implementing GenAI, considering factors like cost savings, productivity gains, and revenue increases. Use this data to justify the investment. 3. 🏆 Value-Driven Metrics: Focus on metrics that demonstrate GenAI's impact on business value, such as increased customer satisfaction, improved decision-making, and enhanced product/service quality. 4. 📲 Scalability and Flexibility: Evaluate GenAI's ability to scale alongside your business and adapt to changing needs, enabling future growth and cost savings through automation and efficiency gains. 5. 🛡 Risk Mitigation: Assess potential risks and challenges associated with GenAI implementation, such as integration issues or data privacy concerns. Develop strategies to mitigate these risks and ensure a successful rollout. Five-Step Framework for Building a GenAI Business Case: 🕵‍♀️ Identify Opportunities: Pinpoint areas that can benefit from GenAI, focusing on tasks or processes that are time-consuming, repetitive, or require creative input. 📊 Estimate Impact: Quantify the potential benefits of GenAI, using key metrics to support your estimates. 🚧 Assess Risks and Challenges: Identify potential risks and challenges and develop strategies to mitigate them. 🗺 Develop a Roadmap: Create a detailed implementation roadmap that outlines the steps required to integrate GenAI into your organization. 🔍 Monitor and Evaluate: Measure the success of your GenAI implementation using key metrics and success indicators, adjusting your strategy as needed. 💬 Share your experiences on building a business case for GenAI! 📢 Subscribe to my newsletter here: https://lnkd.in/g3bdneR7 #genai #ai #aws

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Gastroenteritis (GE) and cholera-like diarrhea outbreaks have been sporadically spreading in IDP camps since February 2024. Tragically, over 80 children have died in Sittwe, Rakhine in April. Cases are reported from Karenni, Kachin, Rakhine and Chin. The situation hasn't received enough attention until cases began rising in Yangon. Poor sanitation, limited access to clean water, seasonal flooding, and overcrowding in IDP camps, coupled with ongoing wars, are exacerbating the situation. Medicine struggles to reach the camps, often being intercepted and confiscated before delivery. https://lnkd.in/geAJbUvB

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🚀 The Case for a GenAI Enterprise Platform 🏢 We have successfully transitioned from 16+ months of Generative AI (GenAI) POCs to organizations now moving GenAI workloads to production. As organizations increasingly leverage GenAI technologies to drive innovation, the need for a comprehensive GenAI enterprise platform becomes evident. Other than arresting budget dilution, such a platform can enable organizations to harness the full potential of GenAI while addressing critical aspects like reusability, governance, security, reliability, metering, LLMOps/MLOps - resulting in faster time-to-market and lower run costs. Let’s dive into the benefits of an Enterprise GenAI platform - First and foremost, a centralized GenAI enterprise platform will arrest budget dilution. Large enterprises are working with multiple vendors, across LOBs as they rush to get first to bring their GenAI applications to their end users. They are adopting tools, platforms, LLMs, open source libraries, and GSIs that are duplicating efforts. While divergence is a great tactic during the experimentation phase, it costs a lot and is not sustainable in the long run. One of my early adopters has the best mental model on this journey – they are allowing for divergence as long as everyone agrees to an end date and a plan to converge within a reasonable time frame to central IT policies and roadmap. Next, GenAI Enterprise Platform will encourage the development and sharing of reusable GenAI components, reducing duplication of efforts and fostering collaboration across teams. It allows for up-skilling of existing resources, develop talent pool, and hardens processes to support applications in production. GenAI Enterprise Platform will help enforce a centralized governance framework that will promote responsible GenAI app development, adhering to regulations, responsible ai policies, data security, privacy, and ethics. It will allow reliability engineers to work through and enable high availability, scalability, and performance. Will help centralize LLMOps/MLOps to streamline LLM deployment, evaluation, monitoring, and continuous improvement (not to mention, restrict access to unapproved models) One of the big lessons learnt from cloud transformation journey in the last decade, is the ability to meter consumption of resources by the enterprise - show-backs and charge-backs. Adopting centralized metering capabilities, budgets, and tagging will provide visibility into GenAI resource consumption, allowing organizations to monitor usage, optimize costs, and allocate resources efficiently. Not only will GenAI Enterprise Platform help avoid the problems we have conquered during cloud adoption, it will also help accelerate time to market and lower run-cost, allowing organizations to quickly adapt to market changes and capitalize on new opportunities. 💬 What are your thoughts on Enterprise GenAI platform? 📢 Subscribe to my newsletter here: https://lnkd.in/g3bdneR7 #genai #ai #aws

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India's technology landscape is rapidly evolving, becoming one of the world's most dynamic ecosystems in terms of technological advancement and adoption. This rapid transformation is reflected in a multitude of sectors, from the bustling streets of Mumbai to the tech corridors of Bengaluru, where innovation is not just embraced but celebrated. In 2024, India stands out as a hub of innovation and opportunity, where tradition and modernity converge to create a vibrant ecosystem full of possibilities. The synergy between elevating and grounding forces is key to this change, with elevating forces fueled by interaction, information, and computing serving as catalysts for innovation, propelling industries towards uncharted territories. These forces herald the rise of transformative technologies such as spatial computing, which allows virtual worlds to blend with the real world, and Generative AI (GenAI), that gives organizations access to new insights and creative potential. Simultaneously, grounding forces, including the business of technology, core modernization, security, and trust, provide the necessary foundation for sustainable growth. Investments in modernizing core systems and bolstering cybersecurity infrastructure ensure seamless integration of new technologies while safeguarding against emerging threats. As technology evolves, DevOps undergoes a paradigm shift, prioritizing the empowerment of developers through developer experience (DevEx). This transition fosters a culture of innovation and collaboration, driving efficiency and creativity in software development. Furthermore, the Indian technology industry's revenue is set to surpass US$254 billion in FY2024, with a 3.8 percent year-on-year growth, marking an addition of more than US$9 billion compared with the previous year. The rising prominence of Global Capability Centres (GCCs), highlighting India's increasing ability to meet international tech demands, is a key contributor to the country’s growth. With over 1,600 GCCs, the Indian GCC market is on track to exceed US$100 billion by 2030, likely to employ more than 4.5 million people across 2,500 GCCs nationwide by 2030. The last decade has seen India create the world’s largest digital public service ecosystem, scaling it for a billion people to usher in an era of digitization. This has had a domino effect – improving governance and quality of life, driving technology innovation, IT services, and product development, and accelerating the tech start-up culture in India. As more businesses use immersive experiences powered by 5G and spatial computing, coupled with government initiatives supporting digital innovation, India is poised for a transformative era.

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At #DHF2024, AI emerges as a key focus, highlighting its potential to revolutionize healthcare in the #ANZ region. With discussions centering on AI's role in enhancing patient care, optimizing operations, and driving innovation, attendees gain valuable insights into the future of healthcare delivery. #DHF2024 #AIinHealthcare #ANZ #HealthcareInnovation https://lnkd.in/dRKswJXN

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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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💡 Did you know that Unite Us offers real-time chat? The benefits of realtime chat applications are many: ☑ Instant & Convenient Communication ☑ Creates Consistency ☑ Saves Time / Improves Speed to to Care The functionality is built into the Unite Us Platform, and integrates with providers’ systems of record, allowing users to communicate with other organizations in real time to coordinate care for people who need social services. Now that's good stuff!

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Patient engagement is evolving rapidly with new technologies transforming healthcare. eConsent streamlines patient approval processes, while improved medication adherence boosts treatment success rates. Intelligence from real-world evidence aids in tailoring therapies to individual needs, promoting personalized care. Patient education and awareness campaigns are increasingly effective, thanks to generative AI that creates accessible, tailored content. These advancements in patient-centered care are building a more responsive healthcare ecosystem.Read my recent thought leadership published by @Digital Health News. #HealthcareInnovation #PatientEngagement #eConsent #RealWorldEvidence #GenAI #PatientEducation #MedicationAdherence

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Here is a healthcare centric lens on the recent piece I wrote for Forbes Technology Council on how AI should dramatically change how we select solutions in the enterprise. For hospitals, which have been behind the curve, its a chance to "skip the landlines" but it requires taking some concrete steps in a different direction. #hospitals #AI #SelectionIsStrategy

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I continually look forward to opportunities where industry leaders gather to share insights and innovations that shape the future of healthcare. The recent American MedTech Summit, organized by WHY Summits, provided one such transformative experience, particularly during the session on Digital Transformation (in PPM) Unleashed. The evolution of digital technology has set a rapid pace for change in the medical technology field. In my presentation, I aimed to demystify Digital Transformation, outlining its profound impact on our industry and its pivotal role in revolutionizing the Healthcare and Lifesciences industry. I delved into topics such as AI integration, data analytics, and the increasing role of Software in MedTech, discussing both the challenges and vast opportunities these technologies present. This event was a compelling reminder that while the path of digital transformation is complex, it is also laden with immense potential. As industry leaders, it is crucial for us to not only keep pace with technological advancement but also steer it in a direction that enhances patient outcomes and improves the efficiency of healthcare services globally. I want to thank WHY Summits, and Simona Starinska in particular, for organizing a remarkable event that provided us with the platform to share ideas and collaborate. The thoughtful organization and insightful sessions truly amplified the experience. For those who missed the event or wish to revisit the discussions, I would like you to explore the summit's highlights and resources provided by WHY Summits: https://lnkd.in/gEuV38AS. Let's continue to connect and engage on these important topics. Follow me for more updates and insights into how digital transformation shapes healthcare's future. #DigitalTransformation #MedTech #AmericanMedTechSummit #GenAI #WHYSummit #BDBiosciences #InnovationInHealthcare

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I believe that the Indian #healthcare technology landscape is more sustainable and in better shape than the U.S. healthcare #technology. While some may disagree, I present the following reasons to support my argument: 1. Lean #HealthcareIT Landscape: Indian healthcare businesses emphasize cost efficiency, resulting in streamlined IT environments without redundant technologies. This focus enables faster #modernization, easier retirement of legacy systems, and more cost-effective IT operations and support. In my view, this is the greatest advantage and sustainability factor for Indian healthcare IT, as technology is harnessed to drive business value. 2. Adaptability: Both Indian healthcare professionals and IT solution providers are quick to adapt to changing market dynamics and regulatory shifts, making them flexible and resilient. 3. Cost Advantage: Indian healthcare IT companies offer services at lower costs compared to U.S. companies, facilitating increased innovation and optimal use of resources. 4. Access to Skilled Professionals: India has a large pool of skilled IT professionals experienced in healthcare IT. This human capital advantage leads to the efficient delivery of high-quality services. 5. Innovation and Startup Culture: Indian entrepreneurs invest in advanced technologies such as artificial intelligence, machine learning, and telehealth, enhancing the quality and efficiency of healthcare IT systems. 6. Global Collaborations: Indian healthcare IT companies collaborate with international clients, including those in the U.S., keeping them up-to-date with the latest trends and best practices in the industry. As the U.S. healthcare industry begins to recognize the value of a cost-efficient mindset and a streamlined IT landscape, Indian healthcare IT companies already have a head start and Indian healthcare IT is well-positioned for continued growth and success.

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"the system helps increase accuracy and compliance, reducing our risk of payer denials, delays and audits," Dr. Bruce Cohen noted. "In addition, the system saves documentation time for providers and makes the jobs of coders simpler and faster." Read the below article, then let's connect to discuss how Calm Waters AI can help provide proper coding guidelines and leveling in real time in order to make your organization more efficient. #CalmWatersAI #takebackyourtime #PhysicianWellbeing

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In the rapidly evolving landscape of healthcare, the integration of artificial intelligence (AI) has become increasingly prominent. Among the pioneering platforms leading this charge is FlocCare, a revolutionary tool designed to empower medical professionals in spreading healthcare awareness, collating insights, and collaborating with peers worldwide. This article explores how FlocCare is poised to transform the way medical practitioners leverage AI to save time, improve patient outcomes, and ultimately, save lives. GlobalHealth Asia-Pacific Shilpa Karkeraa Varun Panjwani Myraa Technologies Myraa Health SG SK Wong

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In the ever-evolving landscape of artificial intelligence, the promise of superintelligence—intelligence surpassing human cognitive abilities—heralds a new era of innovation and transformation across various sectors. #Healthcare stands to benefit immensely from these advancements, Personalized Artificial Healthcare Superintelligence system leading the charge. This revolutionary innovation promises to redefine our engagement with healthcare, making it more predictive, personalized, and accessible. HH Sheikh Mohammed Bin Rashid Al Maktoum, Vice President and Prime Minister of the United Arab Emirates, and Ruler of Dubai, is committed to providing high-quality healthcare to every citizen and resident of the UAE. PAHSI aligns perfectly with this vision, offering predictive analytics and personalized medicine that ensures comprehensive care for all. Dr Azad Moopen, Our Hon'ble Founder Chairman envisions a world where healthcare is accessible to everyone. His mission is to ensure that no one is deprived of quality healthcare, regardless of their location or socio-economic status. PAHSI, with its ability to democratize healthcare through expert-level diagnostics and treatment recommendations, is a significant step towards realizing this vision. Ms Alisha Moopen, our Hon'ble Managing Director's vision is to advance healthcare for everyone, leveraging the latest technological innovations to improve health outcomes. PAHSI embodies this commitment by integrating generative AI and advanced algorithms to enhance healthcare delivery, making advanced healthcare a reality for all. Dr. Sherbaz Bichu , Our Dynamic CEO's aims to transform healthcare from its current reactive, sick-care model to a proactive, true healthcare model. PAHSI fulfills this goal by providing continuous health monitoring, early detection, and preventive care, ensuring that healthcare is about maintaining health rather than just treating illness. #HealthcareInnovation #ArtificialIntelligence #Superintelligence #PAHSI #FutureOfHealthcare #AccessibleHealthcare #PredictiveMedicine #PersonalizedHealthcare #AIinHealthcare

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Healthcare has consistently been behind in the adoption of cloud computing and its the only(?!) space where the dominant solutions are not cloud native. With the rapid acceleration of AI it will be a chance for the industry to try to skip landline and go directly to cell phones. For clinical care the answer for a very long time will be Doctor/Nurse + AI >>> AI. This means we need nimble solutions cradling AI that quickly evolve to best integrate with (clinical) workflows. That is how health systems will unleash the power of AI to help their patients, clinicians and bottom lines. #hospitals #AI #cloud #TechStrategy

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