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Hospital Post Visit Messages Use Case with Guardian Agents

SQLite Connector
DB Query Reader
issues flow port
Rule Engine
4oTemp = 0.1to ensure more rigidnessfor logic and coherence review
Azure OpenAI LLM Selector
YOUR API TOKEN
Credentials Configuration
azure email client token
Variable Creator
4oTemp = 0.5 to avoid robotic sounding messages
Azure OpenAI LLM Selector
add bearer
String Manipulation (Variable)
Table Row to Variable
Azure OpenAI Authenticator
send email usingazure communications services
POST Request
create json body
Column Expressions (legacy)
Loop End
Email drafting4o, 0.5
LLM Prompter
create json body
Column Expressions (legacy)
send email usingazure communications services
POST Request
Group Loop Start
String to JSON
String to JSON
Patient Name
Table Row to Variable
Unmask PatientName
String Replacer
Row Sampler
Append Info and email
String Manipulation
read reviewer name and email
DB Query Reader
Guardian layer 2Accuracy and logical coherence4o, 0.1
LLM Prompter
select one reviewer
Row Sampler
Test patient email address
Rule Engine
Guardian layer 1Tone ReviewRedraft4o, 0.5
LLM Prompter
End IF
Response to JSON
String to JSON
bottom port if there are issuesand the email needs to be submittedfor human review
IF Switch
draft reviewer message
String Manipulation
Create LLM InformationMask patient name
String Manipulation
reviewer info
Cross Joiner
extract issues flagand issues description
JSON Path

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: TosinAdekanye
Created at: 2025-08-01
On NodePit since: 2025-11-13
Last update: 2025-11-13
Created with KNIME version: v5.8.0

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