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Leveraging AI to improve healthcare delivery
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    • Home
    • Insights
    • Getting Started
      • AI Novice (new to AI)
      • Intermediate AI Knowledge
      • Advance AI Knowledge
    • AI for QI
    • AI Prompts
    • AI Agents
    • Support
    • Prompt Library
    • Training and Tools
    • Best Practices
    • AI Use Cases
    • AI Models
    • FAQs
Leveraging AI to improve healthcare delivery
  • Home
  • Insights
  • Getting Started
    • AI Novice (new to AI)
    • Intermediate AI Knowledge
    • Advance AI Knowledge
  • AI for QI
  • AI Prompts
  • AI Agents
  • Support
  • Prompt Library
  • Training and Tools
  • Best Practices
  • AI Use Cases
  • AI Models
  • FAQs

The science (and art) of leveraging Prompts

Understanding Prompts

In the context of AI, a prompt is the specific instruction or question you provide to an AI model to get a desired output. A prompt library is a curated collection of these instructions, designed to help users achieve consistent, high-quality results without having to write every prompt from scratch.


What is a Prompt?


  • Definition: It is the "input" you give to an AI (like ChatGPT or a specialized medical AI) to trigger a response.


  • Purpose: In healthcare, a prompt might ask an AI to summarize a patient’s progress notes, draft a care plan, or analyze staffing data.


  • Quality: The more detailed and specific a prompt is, the more accurate and professional the AI's "output" will be.


What is a Prompt Library?


  • Definition: It is a centralized repository or database of pre-written, tested prompts that users can easily access and reuse.


  • Healthcare Application:  visit our AI Prompt Library that contains examples of specific prompts that can help develop tools and templates for long-term care tasks, such as Quality Improvement (QI) reporting, regulatory compliance checks, educational content development, data analysis, and much more


  • Efficiency: Instead of guessing how to talk to the AI, staff can select a proven prompt from the library to save time and ensure the information generated is safe and clinically relevant.



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