Satyanarayan Chandrashekhar

No one organization can solve healthcare’s problems alone. The magnitude of challenges demands shift in how life sciences companies operate. Life sciences organizations need to build an enterprise partnership capability. When it is done right, it does create value which was very well articulated by Namita Powers, Alex S. and Amelia Summerell with relevant research findings and case examples.

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By 2030, pharma is expected to spend $27.5 billion on global capability centers (GCCs) alone. We examined eight of the top 15 pharma organizations leveraging this important sector for its commercial services. Here’s what makes India’s growing GCC workforce so attuned to this high-complexity work: https://bit.ly/4643WIN

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How are digital platforms transforming patient data capture in clinical trials? As life sciences organizations move from paper-based to digital models, eCOA solutions are enabling accurate, real-time data collection from patients, clinicians, and caregivers. In Part 1 of their discussion, Nisarg Shah, Practice Director, and Shashwat Sheel Bharadwaj, Analyst, from Everest Group, explore findings from the Life Sciences eCOA Products PEAK Matrix® Assessment 2025. Watch Part 1 here: https://okt.to/uzIigh #eCOA #ClinicalTrials #LifeSciences #EverestGroup #DigitalHealth #PEAKMatrix #AI #Pharma

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The shift from AI experimentation to proof through execution really resonates in the ‘grounded intelligence loop’ — where humans, data, and agentic AI continuously strive for better outcomes — and this captures exactly how transformation succeeds in healthcare. In our own work with hospitals and clinic networks, we’re seeing the same philosophy at play: real progress comes from embedding AI thoughtfully into clinical and operational workflows, with the human inside the loop, with strict data governance, that will then deliver the measurable results. Then iterate. It’s about building trust and tangible value one patient at a time, and that’s what sustainable healthcare intelligence looks like. #davos

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Can India’s healthcare system sustain its efficiency advantage without compromising on quality? The latest FICCI–EY Parthenon report highlights how our next leap must focus on standardization, accountability and patient trust. I share my perspective on why tiered reimbursement models, standardized clinical pathways, appropriateness of care standards and cohesive governance can help India achieve affordable, world-class healthcare. Grateful for the opportunity and platform provided for this... Click here to read more: https://lnkd.in/dykZ4EYM #ShapeTheFutureWithConfidence #HealthcareTransformation #FICCIHeal2025

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The next 20 years of healthcare won’t change incrementally based on 20th century models. They’ll be shaped by agentic AI, connected intelligence and a new kind of payer-provider relationship. In this piece, ZS’s Pankaj Jain, Himanshu Arora, Rohit Bhagwat, Anoop Tripathi and Kelly Tsaur explore how these forces will converge to form a self-reinforcing “flywheel” accelerating smarter decisions, streamlined operations and better outcomes across the ecosystem. Read their plan for the future: https://bit.ly/4pgnSyD

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By 2030, pharma is expected to spend $27.5 billion on global capability centers (GCCs) alone. We examined eight of the top 15 pharma organizations leveraging this important sector for its commercial services. Here’s what makes India’s growing GCC workforce so attuned to this high-complexity work: https://bit.ly/4643WIN

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ZS has partnered with the Healthcare Leadership Council (HLC) on a new report on unleashing AI’s potential for patients. Informed by leaders of healthcare organizations, the report outlines how the healthcare industry can address regulatory uncertainty, data and infrastructure challenges and workforce readiness. AI can improve life and how we live it for people around the world. That’s why ZS collaborated with the HLC to identify three primary barriers to AI adoption and provide specific recommendations for addressing them: Read the full report: https://bit.ly/45e2ySN

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ZS PEER Roundtable: The Future of Patient-Centric Services – Balancing Digital and Human Experience Tanya Shepley, Principal at ZS In late June, my team had the privilege of hosting a spirited virtual roundtable with eight patient services executives from across the pharmaceutical industry. The group shared rich insights on how digital, automation, and AI capabilities are being embedded into patient service models—while maintaining the critical human touch. Here are a few key themes that stood out:   🔹 Hybrid Models are the Future Organizations are increasingly adopting hybrid approaches that blend digital innovation with human-led interactions. While automation enhances efficiency and workflows, human connection in customer-facing roles remains essential. The most effective models often integrate in-house, patient-facing teams with outsourced back-office functions—providing greater control over experience and data.   🔹 Data Integration and Ecosystem Connectivity Remain Hurdles Timely, high-quality data from specialty pharmacies and ecosystem partners is still a challenge. Yet, robust data ownership and analytics are crucial to improving processes and making the case for ongoing investment in best-in-class patient support services.   🔹 AI and Automation are on the Rise—But Strategy Matters Participants are at different stages of AI adoption. Many are leveraging AI to deliver more consistent, tailored patient experiences. However, fewer are using AI to generate deeper patient insights. Avoiding "random acts of AI" requires a clear strategic approach.   A big thank you to all the participants who shared their perspectives, to Karthik Sourirajan and Daniel Ogletree for joining the discussion, and to Sharon (Mandler) Suchotliff, MPH for expertly facilitating this engaging conversation. I’d love to hear how your teams are navigating the human+digital experience in patient services. What’s working? What’s challenging? #PatientExperience #DigitalHealth #PharmaServices #AIinHealthcare #PatientSupport #HybridCareModels #ZS

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Brute-force scaling alone won’t solve reasoning challenges. FTI Consulting's Sumeet Gupta highlights, “Variations, optimizations and hybrid combinations of current model architectures have a long runway ahead for practical business applications.” Focused design and domain-specific models will be key to the next stage of AI. #AIApplications #BusinessAI #NextGenTech

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