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Accessing and leveraging real-world data (RWD) is a persistent challenge for life sciences companies. Data silos, inefficiencies, and complex workflows often hinder organizations from fully...
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For a more comprehensive view of the patient journey and experience, life sciences organizations must turn data into insights. Panalgo’s Instant Health Data (IHD) platform...
- Case Study
In this case study, we dive into how this company educated employees in data science analytics techniques across departments with various skillsets and fostered a...
- Blogs
Today’s life sciences companies need efficient ways to turn real-world data into meaningful insights. To explore how Panalgo’s Instant Health Data (IHD) and IHD Cloud...
- Case Study
With Panalgo’s IHD, a company successfully accelerated its ability to derive actionable insights from real-world data, leading to tangible business benefits.
- Press Releases
Global provider of pharma intelligence solutions joins the ranks of Waymo, Nvidia, Duolingo, and more
Data Without Borders: How IHD Cloud Simplifies Global Data Access
Accessing real-world data across international borders has long been a headache for life sciences companies. Data residency laws, privacy concerns, and siloed systems have historically
Panalgo Revolutionizes Real-World Data with Launch of LinQ Notes and Ella AI
Boston, MA — May 14, 2025 — Panalgo, a Norstella company dedicated to revolutionizing healthcare analytics, today announced the launch of two game-changing solutions: LinQ
Panalgo Launches IHD Cloud Availability in AWS Marketplace
Boston, MA – May 8, 2025 – Panalgo, a Norstella company dedicated to revolutionizing healthcare data analytics, announced today that Instant Health Data (IHD) Cloud,
Beyond Data Silos: Centralizing Real-World Data with IHD Cloud
Accessing and leveraging real-world data (RWD) is a persistent challenge for life sciences companies. Data silos, inefficiencies, and complex workflows often hinder organizations from fully
How Unstructured EMR Data Helps Pharma Find Patients
As therapies have become more complex, pharma companies are now challenged to achieve precision targeting within a much tighter timeframe. While claims data is readily
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