![AWS said UC San Diego Health, which has deployed the tool, has reported saving one minute per call and reducing call abandonment rates by up to 60% [File]](https://th-i.thgim.com/public/incoming/lde3r7/article70710029.ece/alternates/LANDSCAPE_1200/2026-02-02T104032Z_348072524_RC2GDJAZ3NR4_RTRMADP_3_ISRAEL-PALESTINIANS-EGYPT-RAFAH.JPG "AWS said UC San Diego Health, which has deployed the tool, has reported saving one minute per call and reducing call abandonment rates by up to 60% [File]")
Amazon’s cloud unit, AWS, said on Thursday it had launched an artificial intelligence-enabled platform that aims to ease access to care for patients and cut administrative work for healthcare providers.
The agentic AI-led platform, Amazon Connect Health, integrates with electronic health records that clinicians use for patient verification, appointment scheduling, compiling medical histories, clinical documentation, and medical coding, AWS said in a blog post.
It is designed to operate around the clock, booking appointments instantly and escalating complex cases to staff as needed.
It leverages specialised learning techniques on healthcare-specific data sets and guidelines.
The platform undergoes multi-step evaluation of model performance for safety and accuracy, including clinician-in-the-loop driven checks.
AWS said UC San Diego Health, which has deployed the tool, has reported saving one minute per call and reducing call abandonment rates by up to 60%.
Amazon Connect Health uses a feature called evidence mapping that links AI-generated output to its exact source like call transcripts and medical records to ensure transparency.
Amazon One Medical has used the documentation feature for more than a million visits, with strong clinician adoption and regular weekly usage.
Published - March 06, 2026 11:16 am IST
