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]

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]
| Photo Credit: REUTERS

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 specialized 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%.

The system can transcribe doctor-patient conversations during visits, draft clinical notes for provider review in real time and generate patient-friendly summaries.

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.


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