AI and Digital Twins Transform Healthcare: Key Trends for 2026 and the Importance of Data Interoperability
Capgemini India envisages healthcare tech to bring in speed and transparency with patient ...
Summary
Capgemini India points out the transformation of the healthcare industry, citing advancements from AI diagnostics to remote patient monitoring. It emphasizes that interoperability standards like FHIR are crucial foundations for these advanced digital solutions.
Details
According to Capgemini India, the medical field is rapidly changing due to technologies such as AI-powered diagnostics, smart implants, and robotic surgery. Atul Kurani (Capgemini Engineering) highlighted key trends for 2026, including 'AI as a Clinical Co-Pilot,' 'Digital Twins,' and 'Remote Patient Monitoring (RPM).' AI will be deeply embedded in real-time decision support for diagnosis and treatment planning, enhancing accuracy when combined with Augmented Reality (AR). Digital twin technology, which uses virtual replicas of patients or organs, is applicable to chronic disease management and drug response simulations. Realizing this requires integrating not only clinical data but also systems like PLM, ALM, ERP, MES, and RWE. Crucially, standards like FHIR are vital for interoperability, enabling seamless data exchange across EHR/EMR, imaging systems, and medical devices. The rise of wearable devices and RPM creates a unified source of truth, promoting preventive care. Furthermore, robotic surgery and genomic data integration are advancing, leading to more precise and personalized medicine.
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