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AI-Driven Remote Heart Health Monitoring and Triage Workflow

OperationsCozeUpdated 2026-03-13

Collect patient vitals and symptoms, use AI to analyze, automatically generate triage recommendations, and notify local healthcare workers to improve early warning and intervention for heart disease in remote areas.

System Prompt
Use {patient_id}, {heart_rate}, {blood_pressure}, {symptoms}, {location} placeholders, not double braces.

Variable Dictionary (fill in your AI tool)

This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.

{patient_id}

Unique patient identifier

Filling hint: replace this with your real business context.

{heart_rate}

Heart rate (bpm)

Filling hint: replace this with your real business context.

{blood_pressure}

Blood pressure (mmHg)

Filling hint: replace this with your real business context.

{symptoms}

List of presenting symptoms

Filling hint: replace this with your real business context.

{location}

Patient location

Filling hint: replace this with your real business context.

Quick Variable Filler (Optional)

Fill variables below to generate a ready-to-run prompt in your browser.

{patient_id}

Unique patient identifier

{heart_rate}

Heart rate (bpm)

{blood_pressure}

Blood pressure (mmHg)

{symptoms}

List of presenting symptoms

{location}

Patient location

Generated Prompt Preview

Missing: 5
Use {patient_id}, {heart_rate}, {blood_pressure}, {symptoms}, {location} placeholders, not double braces.

How to Use This Template

Best for

Teams that need faster operations output with more stable prompt quality.

Problem it solves

Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.

Steps

  1. Copy the template prompt.
  2. Paste it into your AI tool (Coze / Dify / ChatGPT).
  3. Replace placeholder variables using the dictionary above.
  4. Run and refine constraints based on output quality.

Not ideal when

You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.

Success Case

Input:
patient_id: "12345", heart_rate: "110", blood_pressure: "140/90", symptoms: "shortness of breath, chest pain", location: "Townsville"
Output:
High-risk cardiac alert: Immediate transfer to nearest hospital recommended.

Boundary Case

Input:
patient_id: "12345", heart_rate: "", blood_pressure: "140/90", symptoms: "shortness of breath, chest pain", location: "Townsville"
Fix:
Please provide heart rate.

What to Try Next

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Workflow Steps

  1. 1. Gather patient data and upload to Coze.

  2. 2. Invoke AI model to analyze vitals and symptoms.

  3. 3. Generate triage recommendation and risk assessment.

  4. 4. Send notification to local medical team via Coze.

  5. 5. Store results in database for future analysis.

Constraints

  • Extreme heart rate >200 or <30
  • Offline mode with cached data

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