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NeuroBlu Data (NBD)
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Sample details

NeuroBlu is a real-world data (RWD) platform developed by Holmusk, comprised of de-identified electronic health record (EHR) data from patients receiving mental and behavioural healthcare across more than 30 health systems in the United States of America. Initially containing data on 562,940 patients in 2021, the platform has since expanded significantly and now includes records from over 35 million individuals. The data, retrospectively collected from both inpatient and outpatient settings using systems such as MindLinc, spans more than 20 years (1999–2025) and includes structured and unstructured information on demographics, diagnoses, clinical severity, hospital admissions, prescribed medications, and service use. Natural language processing (NLP) tools are used to extract additional detail from unstructured clinical notes. Patients are not directly recruited but are included through data-sharing agreements with healthcare providers, and new records continue to be added as patients receive ongoing care. Follow-up duration varies by patient, with a median of 7 months, and is dependent on the frequency of clinical encounters recorded in the EHR.

Study design
Cohort - clinical

Number of participants at first data collection

35,500,000 (participants as of 2025)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Mental health service users
Patients and clinical populations
People with psychiatric conditions
Dataset details

Country

United States of America

Year of first data collection

1999 (linked healthcare data)

2021 (NeuroBlu)

Primary Institutions

Holmusk Technologies Inc.

Links

neuroblu.ai/

info.holmusk.com/blog/neuroblu-nlp-a-technical-deep-dive-into-developing-nlp-models-for-clinical-insights

Funders

Holmusk Technologies Inc.

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – online
  • Interview – phone
  • Physical environment assessment (e.g. pollution, mould)
  • Secondary data
  • Self-report questionnaire – online
  • Self-completed questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Education data
  • Geographic, spatial & environmental data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Behaviour
    Clinical assessments
    Clinical outcomes
    Diagnostic information
    Electronic health records
    Healthcare access and use
    Hospital admissions
    Hospital emergency service
    Medical records
    Medication
    Mental health
    Mental health services
    Population health
    Sociodemographics
    Treatment experiences and outcomes
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    © 2024 Louise Arseneault

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