Healthcare IT Decoded - Applications of Prompt Engineering
Healthcare IT Decoded - Applications of Prompt Engineering
Published 7/2025
Duration: 5h 37m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.30 GB
Genre: eLearning | Language: English
Published 7/2025
Duration: 5h 37m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 2.30 GB
Genre: eLearning | Language: English
Prompts for Real-World Healthcare Business Scenarios
What you'll learn
- Understand the End to End Data Analysis Workflow
- Create different charts using various Healthcare datasets
- Demonstrate knowledge of creating simple charts like Bar, Scatter, Line Charts using Healthcare Data
- Demonstrate knowledge of creating complex charts like Sankey Chart using Healthcare Data
Requirements
- No specific experience required.
Description
Welcome to “Healthcare IT Decoded – Applications of Prompt Engineering,” a course designed for healthcare professionals, technologists, and innovators looking to bridge the gap between real-world healthcare operations and the transformative power of AI using Prompting techniques.
In this course, we explore howprompt engineering—a powerful technique for interacting with AI tools like ChatGPT—can be practically applied across a variety of healthcare settings. Leveraging, role-based examples, we’ll decipher how simple, well-crafted prompts can guide you to solve certain healthcare challenges.
What You’ll Experience and Learn:
The fundamentals of prompt engineering.
Types of Prompting Techniques:
Zero-shot, One-shot, Few-shot prompting
Chain of Thought prompting
Role-based prompting
Prompt Chaining & Self-Consistency
Prompt Templates
Multimodal Prompts (text, image, etc.)
Prompting Guardrails & Best Practices:
Content Filtering
Session & Memory Management
Personally Identifiable Information (PII) Handling
Bias & Injection Detection
Toxicity Detection & Image Moderation
Avoiding Hallucinations in AI Outputs
Specific Healthcare Business Use Case we try to solve using Prompts:
Named Entity Extraction from clinical text
ICD-10-CM, ICD-10-PCS, SNOMED-CT, LOINC, RxNorm Coding via AI prompts
SOAP Note Creation (includes tool demonstrations)
HIPAA-Compliant Data Masking using Prompts
Sentiment Analysis in Healthcare Communication
Synthetic Data Generation in HL7 format for training and testing
By the End of This Course, You Will:
Understand the fundamentals and types of AI prompting
Be able to craft and apply prompts tailored to specific healthcare functions
Apply guardrails to build safe, ethical, and effective AI interactions
Gain hands-on experience with real healthcare use cases
Who this course is for:
- Beginners curious about create basic Charts using Python programming and Healthcare Data
- Health IT Professionals
- Healthcare/Hospital Management Professionals
More Info