Healthcare IT Decoded - Applications of Prompt Engineering

Name: Healthcare IT Decoded - Applications of Prompt Engineering
Rating: 5.0 (2 reviews)

Prompts for Real-World Healthcare Business Scenarios

Created byHarish Rijhwani

Last updated 7/2025

English

What you'll learn

Understand the End to End Data Analysis Workflow
Understand the basics of Prompt Engineering
How to apply different guardrails in prompts
Apply prompts to solve specific healthcare business problems

Course content

8 sections • 66 lectures • 5h 37m total length

Course Contents - What we plan to cover?5:30
Download the resources0:14

Understanding the Source Systems4:33
Extract the Data4:41
Transform the Data4:48
The Logical Data Model2:56
Identify key performance indicators (kpis) and build a logical data model that separates master data from transactional data, guiding what to analyze before loading databases.
Load the Data1:31
Insights & Foresights1:27
A Quick Recap1:25
Trace the patient journey, identify source systems, extract data, transform and load it, build logical and physical models, and generate insights with Tableau, Power BI, R, or Python.
The Lion and The Fox7:17
The Lion & The Fox - Story Extension2:42

Prompt Techniques - Overview1:39
Zero shot prompt3:31
Explore zero shot prompts by providing instructions, optional context, and a task with an expected output format, through a healthcare example diagnosing conditions from symptoms.
One shot prompt2:52
Few shot prompt5:35
Explore how few-shot prompts shape model responses by providing multiple input-output examples, comparing zero-shot and one-shot prompts, and structuring outputs for medical diagnoses and triage.
Chain of Thought Prompting4:33
Learn chain of thought prompting and step-by-step reasoning to diagnose, assess stroke risk in atrial fibrillation, and guide anticoagulant treatment options, with physician validation.
Role based Prompting4:18
Prompt Chaining5:03
Self Consistency Prompt7:08
Prompting Templates & Variables6:52
Multimodal Prompt5:14
Prompting Techniques

Overview of Guardrails3:30
Guardrails - Content Filtering3:48
Guardrails - Session & Memory Management4:57
Guardrails - PII3:22
Apply guardrails to filter PII and protect privacy under data regulations. See prompts switch to generic health insurance questions and validate prompts without exposing personal claim details.
Guardrails - Bias Detection7:18
Guardrails - Injection Detection4:02
Guardrails - Injection Detection - Part 22:55
Guardrails - Toxicity Detection4:27
Guardrails - Image Moderation3:06
Guardrails - Avoid Hallucinations5:32
Reference Article - Mayo Clinic using Reverse RAG to avoid Hallucinations0:10
Prompting Guardrails

Named Entity Extraction Part 18:37
Named Entity Extraction - Part 26:48
Business Use Case - ICD 10 CM Part 111:06
Explore the structure of ICD-10 codes, including digits, decimal placement, laterality, and encounter details. See how tools like Google Health API and AWS Comprehend Medical extract codes via prompt engineering.
Business Use Case - ICD 10 CM Part 25:47
Business Use Case - LOINC Code Part 16:37
Learn how Loinc codes standardize lab terms and HL7 observations, map systolic blood pressure and other tests, and validate codes via Loinc websites and the Google Health API.
Business Use Case - LOINC Code Part 210:29
Business Use Case - RxNorm Part 17:28
Business Use Case - RxNorm Part 25:15
Business Use Case - SNOMED-CT Part 16:08
Explore SNOMED CT as a comprehensive clinical terminology, contrast it with ICD ten, and learn to craft structured prompts to extract SNOMED concepts from clinical notes using AWS Comprehend.
Business Use Case - SNOMED-CT Part 25:09
Business Use Case - ICD 10 Procedure Coding6:16
Explore ICD-10 procedure codes and how they differ from diagnosis codes. Seven-digit codes encode section, body system, root operation, body part, approach, device, and qualifier, with example 0SRD0JZ.
Business Use Case - SOAP Note Part 14:02
Business Use Case - SOAP Note Part 2 (AWS Transcribe/Healthscribe)5:44
Create an AWS transcribe job to generate a soap note from a medical recording, using S3 bucket setup in region us-east-1 with an IAM role and Bedrock LLM.
Business Use Case - SOAP Note Part 3 (Nabla Chrome Extension)1:13
Business Use Case - SOAP Note Part 45:57
Business Use Case - SOAP Note Part 52:23
Learn to craft a structured soap note prompt for clinical documentation, defining the role of a clinical documentation specialist and the subjective, objective, assessment, and plan components with guardrails.
Business Use Case - HIPAA - Data Masking4:44
Business Use Case - Healthcare Sentiment Analysis5:18
Business Use Case - HL7 Data Generation8:21
Business Use Cases

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 how prompt 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 prompt engineering and solving Healthcare business challenges
Health IT Professionals
Healthcare/Hospital Management Professionals

Healthcare IT Decoded - Applications of Prompt Engineering

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 6min

Hospital Patient Journey8 lectures • 53min

Data Visualization & Analytics - The Journey9 lectures • 31min

Different Types of Learnings4 lectures • 16min

Basics of Neural Networks3 lectures • 23min

Basics of Prompting Techniques10 lectures • 47min

Prompting Guardrails11 lectures • 43min

Healthcare Business Use Cases19 lectures • 1hr 57min

Requirements

Description

Who this course is for: