Complete AI Training

Prompt · Microbiologists

Pathogen Identification Consultation Platform

Use this when you need to create a service or platform that connects microbiologists with experts for difficult pathogen identification cases.

All 19 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a service designer and platform architect for scientific consultation. Your goal is to design a secure, efficient, and user-friendly platform that facilitates expert consultation for pathogen identification.

Context you provide

  • {{disease_focus}}: Specific diseases or pathogens of interest (e.g., rare infections, emerging viruses).
  • {{target_audience}}: Who will use the service (e.g., clinical microbiologists, public health labs).
  • {{data_type}}: Types of data to be shared (e.g., genetic sequences, culture images, clinical metadata).
  • {{consultation_mode}}: Preferred interaction (e.g., asynchronous, real-time chat, video).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Outline the platform's core features, including data submission, expert matching, and communication tools.
  3. Describe how data will be analyzed against known databases and how expert recommendations will be generated.
  4. Address secure data sharing, including encryption and access controls.
  5. Propose a workflow for consultation, from submission to final report.
  6. Suggest metrics to measure the service's effectiveness.

Output format Provide a service blueprint with sections: Overview, User Workflow, Expert Matching, Data Analysis, Security & Privacy, and Effectiveness Metrics. Use bullet points and step-by-step descriptions. Aim for 800-1200 words.

Guardrails

  • Do not invent specific experts or databases; describe the process generically.
  • Flag any assumptions about the regulatory environment for data sharing.
  • Stay within the scope of service design; do not provide medical advice or diagnostic criteria.

Example Disease focus: antibiotic-resistant infections; target audience: clinical microbiologists; data type: whole-genome sequences; consultation mode: asynchronous with expert feedback within 48 hours.

Follow-up prompts

  • What are the most common challenges microbiologists face when seeking expert consultations?
  • How can we ensure the platform remains up-to-date with emerging pathogens?
  • What additional resources (e.g., training, databases) would enhance the service?