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Healthcare systems are maximizing Generative AI (GenAI) to enhance diagnostic accuracy, optimize clinical workflows, and enable precision-guided therapeutics, said Ganesh Nathella, executive vice president and general manager - HLS Business at Persistent Systems.
As digital transformation accelerates across the healthcare continuum, GenAI is becoming the critical integration layer, connecting multimodal data sources: electronic health records (EHRs), imaging repositories, genomic datasets, and real-world evidence to support data-driven clinical decision-making and personalized care delivery, he added.
The technology’s influence extends beyond tertiary care centres, democratizing healthcare access through AI-based screening, risk stratification, and testing tools that function effectively on low-resource mobile platforms. By embedding advanced machine learning models into frontline diagnostic workflows, GenAI allows clinicians to identify disease patterns earlier and with greater specificity, Nathella told Pharmabiz in an email interaction.
To this end, we are operationalizing GenAI for measurable clinical and economic outcomes. Our machine learning–based diagnostic platform has reduced lung cancer image analysis time by nearly 70%, significantly enhancing throughput in radiology workflows. Similarly, our AI-augmented kidney care solution utilizes predictive analytics and patient-specific modelling to improve chronic disease management and treatment adherence. Guided by a Responsible AI framework, we continue to equip healthcare stakeholders with scalable, transparent, and human-centered GenAI solutions that accelerate clinical insight generation and advance precision medicine, he said.
Within the healthcare and life sciences ecosystem, GenAI is redefining operational efficiency by automating, augmenting, and enhancing manual processes. The result is a measurable improvement in both patient experience and workforce productivity. As automation becomes an intrinsic part of clinical operations, GenAI is now driving the next wave of transformation, infusing intelligence into documentation, reporting, and research workflows to increase precision and free clinicians to focus on direct patient care, said Nathella.
For a global leader in clinical trial services and healthcare analytics, the barrier was not data availability but the latency between data generation and actionable insights. By integrating multi-agent architectures with natural language workflows, iAURA transformed a fragmented, manual reporting ecosystem into a unified, secure, and scalable automation framework. Report generation timelines were reduced from months to minutes, data mapping from weeks to days, while audit coverage improved by more than 90 percent, he noted.
Through such applications, GenAI is not only enabling process automation but systematically advancing workforce efficiency and operational scalability, paving the way for more intelligent, responsive, and patient-centered healthcare systems. Persistent partners with leading healthcare and life sciences organizations worldwide to redefine how data is managed, patients are engaged, and care is delivered. For a global payer technology leader, we deployed GenAI-driven solutions to automate the processing of unstructured claims data, reducing resolution times by nearly 30 percent while improving regulatory transparency and audit readiness. This same innovation extends into clinical environments where GenAI-powered Clinical Intake Engine, built for an oncology navigation provider. Going, we are advancing the next generation of digital health infrastructure, where scalable automation, clinical intelligence, and human expertise converge to deliver more precise, equitable, and outcome-driven care, said Natella.
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