Antara and Cloudphysician launch AI-enabled patient management system in Bengaluru to make senior transition care safer

Antara Senior Care and Cloudphysician are rolling out AI-led monitoring at Bannerghatta to spot risks early and cut readmissions. Next up: Chennai, Gurugram, and Noida.

Categorized in: AI News Management
Published on: Nov 30, 2025
Antara and Cloudphysician launch AI-enabled patient management system in Bengaluru to make senior transition care safer

Antara Senior Care and Cloudphysician Launch AI-Enabled Patient Management for Safer Transition Care

Antara Senior Care has deployed an AI-enabled patient management system at its Bannerghatta Transition Care facility in Bengaluru, built on Cloudphysician's RADAR platform. The system delivers continuous monitoring for seniors in post-hospital recovery and rehabilitation-helping teams spot risks earlier, standardize care, and reduce avoidable readmissions.

This is phase one of a broader rollout planned for Chennai, Gurugram, and Noida. For healthcare leaders, the move signals a shift toward data-driven oversight across transition care units.

What the System Does

Cloudphysician's RADAR aggregates live data from patient monitors, bedside observations, and clinical workflows into a single interface. It converts complex inputs into actionable insights that support early detection of complications and clear escalation paths.

On-ground teams at Antara coordinate with Cloudphysician's virtual specialists for 24/7 oversight. The use of AI helps reduce variability and human error, ensuring consistent care standards during high-risk recovery phases.

Why It Matters to Management

  • Reduced readmissions: Structured post-acute care can cut 30-day readmissions by up to ~35% according to Antara's leadership, improving cost and capacity planning.
  • Standardized protocols: AI-supported workflows create consistency across shifts and sites.
  • Faster escalation: Real-time monitoring plus virtual specialist backup tightens response times for deteriorations.
  • Risk mitigation: Focus on falls, cardiac events, stroke complications, dehydration, and dementia-related risks.
  • Resource efficiency: Clear signal-to-noise helps teams prioritize interventions and reduce unnecessary escalations.

Scale and Context

Cloudphysician reports its technology has already impacted more than 170,000 critically ill patients across India. Extending this model into transition care brings ICU-grade visibility to a setting where early action can materially change outcomes.

With India's senior population projected to approach 350 million by 2050, scalable, age-friendly recovery infrastructure is a strategic necessity. This partnership positions AI-enabled oversight as core operating infrastructure, not an add-on.

Data Protection and Compliance

Cloudphysician's platform follows global data protection standards and complies with India's Digital Personal Data Protection Act 2023. Patient data is encrypted, access-controlled, and managed with explicit consent-key for governance and trust at scale.

Executive Views

"Structured post-acute transition care can cut 30-day hospital readmissions by up to ~35%. When powered by AI-enabled care management, transition care can further boost patient safety, reduce recovery costs, and improve efficiency, especially in preventing falls, cardiac events, stroke complications, dehydration, and dementia-related risks. Through AI-driven care management, Antara and Cloudphysician are setting a new standard for senior care in India-blending technology, clinical expertise, and compassion to protect seniors during their most vulnerable phase," - Ishaan Khanna, CEO, Antara Assisted Care Services.

"Technology is transforming senior care-shifting from reactive treatment to proactive, protocolised care powered by real-time data, collaboration, and continuous oversight. With AI-enabled care, intensivists can monitor patients in real time, guide bedside teams, and ensure timely interventions that enhance safety and recovery." - Mandar Vaidya, CEO, Cloudphysician.

Implementation Checklist for Leaders

  • Integrate bedside monitors and nursing observations into a unified data pipeline.
  • Define escalation thresholds, SLAs, and handoff protocols with virtual specialists.
  • Train teams on alert interpretation, documentation, and incident response workflows.
  • Set baselines and targets for readmissions, adverse events, response times, and length of stay.
  • Establish consent workflows, access controls, and audit trails aligned to DPDP 2023.
  • Run weekly incident reviews to tune alerts and reduce false positives.

Metrics to Track in the First 90 Days

  • 30-day readmission rate and cost per readmission avoided.
  • Time-to-escalation from alert to intervention.
  • Adverse events per 1,000 patient-days (falls, pressure injuries, dehydration events).
  • Length of stay variance and discharge-to-home rate.
  • Alert precision: actionable vs. non-actionable alerts.

Antara, a Max India Limited company, operates senior living and assisted care services across Gurugram, Noida, Bengaluru, and Chennai. Cloudphysician, founded by Dr. Dhruv Joshi and Dr. Dileep Raman, combines clinical expertise with AI-driven technology to advance monitoring and critical care support across hospitals in India.

Next Step for Healthcare Managers

  • Run a focused pilot in one transition care unit with clear success criteria and weekly governance.
  • Stand up a cross-functional task force (clinical ops, IT, legal) to accelerate scale-up if targets are met.
  • Invest in capability building so clinical and ops leaders can manage AI-enabled workflows confidently. For structured options, see AI courses by role at Complete AI Training.

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