Case Study: Using IHD to Train and Educate
A global pharmaceutical company wanted to build real-world-data (RWD) and AI/ML literacy among staff with varying skill levels across departments. It hosted an internal "datathon" featuring Panalgo's IHD Data Science module, built on the IHD Analytics platform, as the hands-on training tool. The stated goal was to educate employees in data-science analytics techniques and foster a culture of innovation and collaboration for future analytics projects. The page does not provide specific quantitative outcomes from the datathon, only the qualitative training/culture goals.
The customer is anonymised in Norstella’s own case study — not withheld by us.
Norstella is a holding company merging several pharma-intelligence brands — Citeline (trial intelligence), Evaluate (forecasting), MMIT (payer/formulary data) and Panalgo (real-world analytics) — into one data asset.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Norstella on its own site — read the original case study on panalgo.com ↗
Note: No quantitative results given on the page — only qualitative training and culture-building goals.
Related use cases
- 01Empowering Early Disease Diagnosis with Real-World Data
- 02Refining Rare Disease Targeting with Real-World Data
- 03Gain Real-Time Insights on High-Risk Patient Populations with Real-World Data
- 04Powering Unbiased Outcomes Research with Longitudinal Data
- 05NorstellaLinQ: Better Together: Getting the Full Patient Picture
- 06Trial Rescue & Reconnaissance