Leveraging Large Language Models and R for Data-Driven Innovation in Healthcare

Training Theme
"Leveraging Large Language Models (LLM) and R Programming for Data-Driven Innovation in Healthcare."
Training Objectives
By the end of the training, participants will be able to:
· understand what Large Language Models (LLMs) are and how they work conceptually
· use R programming to analyze healthcare datasets
· apply predictive analytics to hospital operations or patient outcomes
· use LLMs to extract insights from unstructured medical text (reports, notes, etc.)
· recognize ethical and privacy considerations in AI-driven healthcare systems
Key Focus Areas
1. Extracting insights from medical reports using LLMs
· text summarization of clinical notes
· classification of medical documents
· extracting key variables (diagnosis, medications, symptoms)
· building decision-support text systems
2. Analyzing healthcare data with R
· importing CSV/Excel health datasets
· cleaning missing values
· visualizing trends (admissions, bed occupancy, drug usage, etc.)
· basic statistical modeling in R
3. Predictive analytics for hospital operations or patient outcomes
· predicting patient readmission risk
· forecasting patient flow or demand
· resource allocation optimization
· early warning scoring systems (non-clinical explanation, data-focused)
4. Ethical use of AI in health data
· patient privacy
· bias and fairness in AI models
· informed consent in data usage
· transparency and accountability of algorithms
Suggested Training Modules (1–3 day workshop)

1. Introduction to AI, LLMs, and Healthcare Data
2. Basics of R Programming for Health Analytics
3. Hands-on: Cleaning and Visualizing Health Data in R
4. Using LLMs to Extract Insight from Medical Text
5. Building Simple Predictive Models in R
6. Case Studies in AI-Driven Healthcare Innovation
7. Ethics, Data Governance, and Responsible AI
   Practical Exercises (non-clinical, safe, data-oriented)
   · load a sample health dataset in R
   · compute basic statistics (mean, counts, trends)
   · plot hospital admission trends
   · use an LLM to summarize a synthetic medical report
   · classify patient feedback text using an LLM
   Short Description for Flyer/Invitation
   This training introduces industry professionals to the use of Large Language Models (LLM) and R programming in modern healthcare analytics. Participants will explore how AI can analyze medical text, how R can process healthcare data, and how predictive models support smarter hospital operations and outcomes. The workshop emphasizes ethical, secure, and responsible use of AI in health settings.