Parag Doshi

Such an exciting year ahead. Healthcare AI is finally crossing from digitization to cognition shifting value from administrative drag to clinical and scientific productivity, with revenue cycle intelligence as the first scalable proof of ROI. Today, administrative functions consume roughly one-quarter of total U.S. healthcare spending making AI-driven cognitive automation one of the few levers capable of reallocating dollars back to care, not just cutting costs. With average hospital operating margins near 2%, even a 30–50 basis-point improvement from AI-driven clinical intelligence can translate into a 15–25% relative margin uplift without adding beds, clinicians, or capital spend. #MBA #Healthcare #AI

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Great overview from Hariharan Ananthakrishnan, Shreedhar Nistala, and Vishal Naik about the technical architecture used by ArteraAI's suite of predictive and prognostic cancer tests. Impacting cancer care made easier with great technical partners at Amazon Web Services (AWS): https://lnkd.in/eH29HF8c

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In a pivotal moment amid challenges like workforce strain and data overload, advanced technologies like generative AI and agentic AI can offer unprecedented potential to transform how health is managed and health care is delivered. AI has the potential to enhance the health landscape—personalizing patient journeys, augmenting clinicians to reduce burden, and optimizing therapeutics from discovery to delivery. The article paints a compelling picture of AI's potential to significantly improve health outcomes globally. By addressing critical challenges within the healthcare system, empowering individuals to manage their own health, and accelerating scientific discovery, AI is positioned as a key driver for a more efficient, equitable, and personalised health future. The emphasis on responsible deployment, collaboration, and building trust underscores the importance of a thoughtful and ethical approach to integrating these powerful technologies into the sensitive domain of health care. https://lnkd.in/gfunGvzD Moe A. Mitesh Agarwal Kiran Kumar Kesavarapu Andreas Neidhart-Lau Asif Saleem Sachin Bhat

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Thank you, Matthew Connor, for the engaging and refreshingly unscripted conversation on The Cyber Business Podcast. As AI becomes part of the healthcare delivery fabric, the focus must remain on responsible AI — grounded in transparency, governance, and strong protection of PHI. Equally important, transformation should start with business and patient outcomes, not technology hype. When implemented thoughtfully, AI can augment clinicians, strengthen security, and meaningfully improve care delivery. Appreciate the opportunity to share the HealthDrive Corporation perspective and contribute to this important conversation. #ResponsibleAI #HealthcareAI #HealthIT #DigitalHealth #AIinHealthcare #Cybersecurity #HealthcareLeadership

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Becker's Health IT has "AI at CommonSpirit: 230 tools, $100M impact Advertisement - With 230 AI applications live across its hospitals, Chicago-based CommonSpirit Health is setting a benchmark for thoughtful AI adoption in healthcare, CIO Daniel Barchi told Becker’s." https://lnkd.in/e92Huiwa. #artificialintelligence #commonspirit #230tools #100millionimpact #hugeimpact #cio #danielbarchi #beckers

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Ravi Kumar S and Rohan Murty captured it well: the next era of computing is not about code or cloud. It is about context.   For providers and payviders, context is the frontier. Clinical nuance, documentation, and financial accountability collide in real time. That is where the burden sits, and where the opportunity resides.   At Cognizant, we create tools that ease the load on clinicians, connect documentation to revenue clarity, and transform fragmented policies into frameworks to guide decisions at scale. It is not only models doing the work. It is intelligence shaped by the lived realities of healthcare.   The shift is real. We are shaping it. Read the entire article here: https://lnkd.in/erqM8WKq Context is how intelligence becomes impact.

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Agentic AI - We’re witnessing a rapid evolution from reactive AI systems to proactive, autonomous agents capable of planning, execution, and adaptation. This shift is fundamentally reshaping how we design and build intelligent systems. Key trends shaping 2025: - Multi-agent orchestration is replacing traditional monolithic architectures - Tool-calling is becoming a standard capability across LLMs - Reasoning chains are enabling advanced problem decomposition - Human-AI collaboration is emerging as the optimal interface The road ahead demands solving coordination complexity, implementing strong safety mechanisms, and establishing meaningful evaluation frameworks. As these systems scale, the conversation is shifting from "Can we build it?" to "How do we govern it responsibly?" The engineering challenges are formidable—but the potential is transformative. Recently completed Hugging Face’s really well curated course on agentic AI. Their hands-on framework and practical approach offer great clarity on architectural patterns we’re already seeing emerge in real-world deployments. https://lnkd.in/dn3puT9C https://lnkd.in/d4EH7-pv #AgenticAI #Engineering #AIArchitecture #TechLeadership #MLStrategy #LLM

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