our history

Pioneers in Behavioral Health Evidence

NeuroBlu was created by Holmusk, a global data science and health technology company on a mission to reimagine behavioral health and transform lives through the generation and application of real-world evidence.

MindLinc Global Database

Holmusk's journey into behavioral health began with MindLinc, an electronic health record (EHR) system for behavioral health, designed by psychiatrists at Duke University School of Medicine. The gold standard of clinical workflows, MindLinc's 20 years of longitudinal data is one of the richest and largest clinical databases for behavioral health in the world.

Expertise-Driven Evidence

We have spent years devoted to learning and testing how to advance the field of behavioral health evidence, through understanding the nuances of the field and the complexities of psychiatry data. This domain expertise, combined with advanced technical skills, drives our ability to generate insights with impact.

NeuroBlu: The Evidence Blueprint

We launched NeuroBlu to make our powerful evidence engine accessible across the health ecosystem. NeuroBlu's data warehouse and underlying data engineering processes were developed by experts with the aim of making NeuroBlu an indispensable part of behavioral health research, innovation, and care delivery.

our Future

At the Edge of Innovation

NeuroBlu is constantly growing, adding more data and broader capabilities.

Growing Database

Through data partnerships and expanded EHR system sources, NeuroBlu's data warehouse will double in volume to over 2 million patients by the end of 2022.

Reaching Regulatory-Grade Quality

We are actively working to achieve regulatory-grade quality for our data, which would enable life sciences companies to generate evidence that can support regulatory submissions.

Enhancing Product Features

The analytics toolkit is regularly updated with additional code templates and new tools that offer support across the health care ecosystem, from clinical trial design to care delivery.

Expanding Data Types

We aim to integrate novel types of data to show the full picture of behavioral health. These include patient-reported outcomes, data from digital tools, census data, and claims data.

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