AWS Launches ‘Amazon Connect Health’ to Reduce Administrative Burden in Healthcare

The platform is designed to reduce administrative workload across patient access and clinical workflows by automating scheduling, verification, documentation, and medical coding while integrating directly with electronic health record (EHR) systems.

Amazon Web Services (AWS) has launched Amazon Connect Health, describing it as its first purpose-built agentic AI solution for healthcare providers and patients. The platform is designed to reduce administrative workload across patient access and clinical workflows by automating scheduling, verification, documentation, and medical coding while integrating directly with electronic health record (EHR) systems.

The launch targets operational inefficiencies that health systems face in patient communication and care coordination. AWS said staff in large health systems spend up to 80% of call handle time compiling patient information across fragmented tools. It also cited data showing that 89% of patients who switched providers did so due to care navigation challenges such as scheduling difficulties, long wait times, and access barriers.

Agentic AI Built for Healthcare Providers and Patients

Amazon Connect Health combines AWS’s AI-powered contact center technology with real-time EHR connectivity. The system enables patients to interact using natural language to request appointments, verify identity and insurance details, and confirm availability during a single engagement. Health systems can configure workflows and define when interactions are escalated to human staff for complex or sensitive cases.

AWS said the solution is available around the clock and is designed to reduce call abandonment while improving appointment conversion rates.

Early deployments indicate operational impact. UC San Diego Health, which manages 3.2 million patient interactions annually across 45 contact centers, reported saving one minute per call, diverting 630 hours per week from patient verification tasks to direct patient assistance, and reducing call abandonment rates by 30%, with some departments reporting reductions of up to 60%.

AI Support Before, During, and After Visits

The platform extends beyond scheduling into clinical workflows. Before appointments, it reviews a patient’s medical history across care settings and generates summarized insights covering active conditions and recent clinical events.

During visits, with patient consent, the system transcribes clinician–patient conversations and drafts clinical notes in real time. Each note is linked to the corresponding portion of the transcript through evidence mapping. After visits, it generates patient-friendly summaries and suggests medical codes for billing, with supporting documentation attached to facilitate auditing and review.

One Medical has deployed ambient documentation capabilities across more than one million visits and is expanding into AI-supported coding. AWS also referenced its work with the National Health Service and Montefiore Health System in addressing care delivery bottlenecks.

Building Trust Through Transparency

AWS stated that Amazon Connect Health incorporates evidence mapping that links AI-generated outputs to source transcripts, medical records, and billing guidelines. The models are trained using healthcare-specific datasets and undergo multi-step safety and accuracy evaluations, including clinician-in-the-loop reviews. AWS also noted that it supports healthcare organizations with more than 130 HIPAA-eligible services and global compliance certifications.

Amazon Connect Health expands AWS’s applied AI portfolio into end-to-end healthcare administrative and clinical operations.

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