Amazon Web Services Inc. today announced the launch of Amazon Connect Health, a new agentic artificial intelligence solution focused on reducing administrative workloads for healthcare providers while improving how patients access care.

The platform is designed to automate routine operational tasks, including patient verification, appointment scheduling, medical history review, clinical documentation and medical coding. AWS says that allows clinicians and care teams to focus more time on patient treatment rather than administrative work.

The new offering builds on the company’s existing Amazon Connect cloud contact center platform and integrates directly with electronic health record systems used by hospitals and clinics. AWS says that its goal is to simplify interactions across the healthcare system by using AI agents to handle common operational processes that typically require multiple systems and manual coordination.

The problem the solution is seeking to address is a real one: administrative complexity. According to AWS, staff in large U.S. health systems can spend up to 80% of call-handling time manually compiling patient information across fragmented tools. Amazon Connect Health addresses this problem with AI agents that operate around the clock that allow patients to interact with healthcare providers through natural language conversations.

The system can verify patient identity, check insurance details, review availability and book appointments while the patient remains on the line and can, when necessary, escalate interactions to human staff for complex or sensitive issues.

The platform also goes beyond scheduling and call handling, as before appointments, the system reviews a patient’s medical history across different care settings and generates a summary of relevant information for clinicians.

During patient visits, Amazon Connect Health can transcribe conversations between doctors and patients and generate draft clinical notes in real time for provider review. After visits, the system can generate patient-friendly summaries and automatically prepare medical billing codes tied to documented evidence.

In early testing, the results have been positive, with UC San Diego Health, which manages more than 3 million patient interactions each year across dozens of contact centers, reporting saving roughly one minute per call using the system. That figure by itself doesn’t sound that impressive, but cumulatively, Amazon Connect Health saved the organization 630 hours weekly from patient verification to direct patient assistance and reduced call abandonment rates by 30% and as high as 60% in some departments.

For transparency and oversight, Amazon Connect Health includes an evidence mapping feature that links every AI-generated output to its original source, such as a conversation transcript, medical record entry or billing guideline. AWS says that approach allows clinicians to verify quickly how recommendations or summaries were generated before approving them.

The launch is the first AWS solution purpose-built specifically for healthcare providers and their patients. The company positions the platform as a way to streamline care operations while reducing friction for both clinicians and patients.

Images: SiliconANGLE/Ideogram, AWS