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AWS connecthealth documentation change

Service: connecthealth · 2026-03-19 · Documentation low

File: connecthealth/latest/userguide/configuring-testing-pe-agents.md

Summary

Updated formatting and clarified audience for configuring/testing patient engagement agents, expanded abbreviations (MRN, SSN), and fixed punctuation

Security assessment

Changes are editorial improvements and clarifications about identity verification steps (phone number, MRN, date of birth, zip code, last four SSN digits). No evidence of addressing a specific security vulnerability or incident. The mention of identity verification is part of standard functionality documentation.

Diff

diff --git a/connecthealth/latest/userguide/configuring-testing-pe-agents.md b/connecthealth/latest/userguide/configuring-testing-pe-agents.md
index 3add17bbc..c490d732b 100644
--- a//connecthealth/latest/userguide/configuring-testing-pe-agents.md
+++ b//connecthealth/latest/userguide/configuring-testing-pe-agents.md
@@ -7 +7 @@ Agent demo and testingAgent customizationSample contact flow for testingCommunic
-# Administrative and clinical staff: Configuring and testing patient engagement agents
+# Configuring and testing patient engagement agents
@@ -9 +9,3 @@ Agent demo and testingAgent customizationSample contact flow for testingCommunic
-After your administrator completes the steps in [IT administrators: Setting up Amazon Connect Health](./setting-up.html), you can explore the AI agents, test them with your own EHR environment, and customize their behavior in the Amazon Connect Health application.
+This section is intended for administrative and clinical staff who configure and test patient engagement agents.
+
+After your administrator completes the steps in [Setting up Amazon Connect Health](./setting-up.html), you can explore the AI agents, test them with your own EHR environment, and customize their behavior in the Amazon Connect Health application.
@@ -30 +32 @@ The Amazon Connect Health application home page provides two ways to experience
-  * **Hear Healthcare Agents in action** — Play a recorded conversation between a patient and the Amazon Connect Health agents. The demo shows how the agents verify a patient’s identity and schedule an appointment through natural conversation with contextual understanding. You can play the audio directly from the home page without prior configuration.
+  * **Hear Healthcare Agents in action** – Play a recorded conversation between a patient and the Amazon Connect Health agents. The demo shows how the agents verify a patient’s identity and schedule an appointment through natural conversation with contextual understanding. You can play the audio directly from the home page without prior configuration.
@@ -32 +34 @@ The Amazon Connect Health application home page provides two ways to experience
-  * **Test your agent** — Experience a live conversation with the Amazon Connect Health agents integrated with your own EHR and Amazon Connect environment by calling your Amazon Connect provisioned number. This option becomes available after you complete EHR integration. Until then, you are prompted to configure your EHR setup.
+  * **Test your agent** – Experience a live conversation with the Amazon Connect Health agents integrated with your own EHR and Amazon Connect environment by calling your Amazon Connect provisioned number. This option becomes available after you complete EHR integration. Until then, you are prompted to configure your EHR setup.
@@ -43 +45 @@ After exploring the demo, you can tailor agent behavior to match your organizati
-  2. Enable or disable scheduling capabilities — **Schedule** , **Reschedule** , **Cancel Appointments** , and **Verify Insurance**. Unchecked tasks are routed to a representative.
+  2. Enable or disable scheduling capabilities – **Schedule** , **Reschedule** , **Cancel Appointments** , and **Verify Insurance**. Unchecked tasks are routed to a representative.
@@ -45 +47 @@ After exploring the demo, you can tailor agent behavior to match your organizati
-  3. Configure three sequential identity verification steps by selecting required patient inputs, such as phone number or MRN, date of birth, and zip code or last four SSN digits.
+  3. Configure three sequential identity verification steps by selecting required patient inputs, such as phone number or medical record number (MRN), date of birth, and zip code or last four Social Security number (SSN) digits.
@@ -56 +58 @@ For more information about customization options, see [Agent customization](./ag
-Amazon Connect Health provides a pre-built sample contact flow (`connect-health-{DOMAIN_ID}-inbound-flow`) for testing and operationalizing appointment management conversations powered by AI agents. The flow simulates a typical appointment scheduling conversation, including patient identity verification. You can use this flow to validate end-to-end agent behavior — including EHR data lookup, insurance verification, and escalation routing — before moving to production.
+Amazon Connect Health provides a pre-built sample contact flow (`connect-health-{DOMAIN_ID}-inbound-flow`) for testing and operationalizing appointment management conversations powered by AI agents. The flow simulates a typical appointment scheduling conversation, including patient identity verification. You can use this flow to validate end-to-end agent behavior – including EHR data lookup, insurance verification, and escalation routing – before moving to production.
@@ -70 +72 @@ After you configure and test your agents, explore the following topics:
-  * [Patient engagement agents](./patient-engagement-overview.html) — Learn about the patient verification and appointment management agents.
+  * [Patient engagement agents](./patient-engagement-overview.html) – Learn about the patient verification and appointment management agents.
@@ -72 +74 @@ After you configure and test your agents, explore the following topics:
-  * [Point of care agents](./point-of-care-overview.html) — Learn about agents for clinical workflows.
+  * [Point of care agents](./point-of-care-overview.html) – Learn about agents for clinical workflows.