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What Structured Prompt Technique Generates Best Requirements for Healthcare Appointment Systems?
Master prompt engineering for generative AI by using structured prompts with role, task, context, and format to create targeted requirements for online healthcare appointment systems efficiently.
Question
You are asked to gather requirements for a new online appointment system for a healthcare clinic. You decide to use generative AI to speed up your work.
Which approach best applies prompt engineering techniques to generate useful requirements?
A. Use multiple unrelated questions in one prompt to explore various business areas at the same time.
B. Use a structured prompt that defines the AI’s role, task, context, and the desired output format.
C. Use a brief prompt asking the AI to generate general ideas about appointment systems without structure.
D. Use a long paragraph describing the clinic’s goals but without specifying how the AI should present the output.
Answer
B. Use a structured prompt that defines the AI’s role, task, context, and the desired output format.
Explanation
Generative AI excels at generating useful requirements for a healthcare clinic’s online appointment system when analysts apply structured prompt engineering, such as specifying “You are a senior business analyst with healthcare domain expertise. For a clinic serving 500 patients weekly, generate 15 prioritized functional requirements covering patient booking, doctor scheduling, notifications, and HIPAA compliance, formatted as user stories with acceptance criteria in a Markdown table.”
This technique—known as role-playing, context provision, task clarity, and output specification—produces precise, relevant outputs like requirements for real-time availability checks, SMS reminders, and admin dashboards, avoiding the scatter of unrelated questions, vagueness of brief prompts, or disorganization of unformatted paragraphs. Consistent with prior exam topics on prompt best practices, this approach ensures actionable, traceable deliverables that align with systems analysis standards, enabling rapid validation and iteration for project success.