How Panalgo's IHD Analytics Platform Accelerated an Analysis from 14 Months to 1 Week

PhD candidate Allison (Ally) Perry's dissertation examined the impact of initial opioid prescription doses and durations on the risk of opioid use disorder, but the original analysis took over 14 months from data acquisition to completion due to institutional barriers and inadequate analytical infrastructure. Perry replicated the same dissertation study using Panalgo's Instant Health Data (IHD) platform, leveraging its self-service analytics and streamlined data access to avoid complex programming. She completed the entire project — from data access to analysis completion — in just one week, cutting the timeline from 14 months to about 7 days.

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.