Transforming behavioral health research, innovation & care

Holmusk's unique suite of solutions combines cutting-edge digital tools with next-generation analytics, making unprecedented innovation possible.


Access insights in just a few clicks

Quickly analyze and gain immediate insight from millions of de-identified electronic health records with NeuroBlu, a powerful data analytics software.

To improve and optimize patient outcomes, we first need a deep understanding of how care is delivered. Powered by Holmusk's best-in-class behavioral health database, NeuroBlu organizes and makes available the most important resource to support this understanding—clinical data captured during care delivery.

Easy-to-use analytics tools

Easily explore your options as NeuroBlu’s intuitive design helps guide you through next steps.

Study templates

Get a jumpstart on your project with fully customizable study templates built to help address frequently asked questions.


Find the answers you need, no matter how you work. Create your own code in R or Python, or run-no code analyses in just a few clicks.

Request a Demo


Delve into the unique NeuroBlu Database with an easy-to-use, browser-based interface designed for fast and scalable queries.


Build upon readily available templates to kickstart investigation of research questions, and conduct analyses via no-code tools or an integrated R and Python interface.


Generate insights that will inform your most pressing behavioral health challenges and accelerate your organization’s decision making.


Collaborate seamlessly by sharing projects and insights, enabling your teammates to jump in where you left off.

Real-World Data

Best-in-class data for behavioral health

Clinical data derived from electronic health records (EHRs) provide the deepest insights into clinical care. We've curated a database that makes these EHR data available for research and fuels NeuroBlu, serving as a single source of truth for behavioral health and enabling analyses at a level of unprecedented granularity.




geographically-diverse health systems


years of longitudinal data

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Track patterns over time with data spanning 20+ years.

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Move beyond the status quo of structured data fields and unlock deeper understanding with Holmusk’s natural language processing, which converts unstructured data from clinical notes into fit-for-purpose variables ready for research.

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Ensure a representative study population by leveraging data captured across geographically diverse inpatient and outpatient sites, including hospitals, emergency rooms, and community psychiatry clinics.

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Leverage deep data on disease severity and item-level data within standardized measures to gain deep understanding on patient well-being and outcomes.

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Gain insights that are current and applicable with a 30-day recency period.

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NeuroBlu has supported over 50 publications and conference presentations.

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Continuously expanding

Address more challenging behavioral health questions as additional patient lives are added to the NeuroBlu Database.

Insight into real-world care delivery

Gain understanding about how behavioral health care is delivered with structured data on behavioral health diagnoses, treatments prescribed, and assessments that measure disease severity, presence of specific symptoms, and more.

Research and Development

Support clinical development and increase success of trial designs.

R&D Strategy

  • Identify patient subsegments with unmet needs, such as opioid use disorder patient with poor outcomes despite being on a treatment regimen.

Clinical Development

  • Significantly accelerate clinical trial recruitment by screening patient characteristics efficiently. For instance, easily identify characteristics of patients with Major Depressive Disorder who display symptoms of anhedonia.
  • Understand characteristics associated with varying levels of severity in patients with Major Depressive Disorder, in order to create patient subsegments to inform trial design for compounds targeting treatment-resistant depression.

Medical Affairs

Derive patient specific insights and population level trends in behavioral health using AI/ML algorithms on large sets of real-world behavioral health data.

  • Compare key endpoints — such as Clinical Global Impression-Severity (CGI-S), Global Assessment of Function (GAF), and side effect burden — for patients on competitor drugs to provide evidence of differentiated benefit.
  • Assess patient-centric endpoints — such as mood, function, and engagement — that can significantly impact outcomes in real-world settings, including treatment adherence, clinician prescription decisions, and overall patient health.
  • Evaluate prescription patterns of off-label drugs for Major Depressive Disorder to identify related behavioral health indications for further clinical evaluation.
  • Guide evidence-driven care to enhance care management for patients at risk and to improve behavioral health outcomes.
  • Produce publications highlighting therapeutic benefit in real-world settings to increase impact factor with key opinion leaders and other health care professionals.

Market Access and HEOR

Evaluate comparative effectiveness of pharmacological treatments in the real world and enable value-based care.

  • Establish cost-benefit by determining comparative effectiveness of treatments beyond standard clinical endpoints, such as hospitalization among patients on different drug formulations (e.g. oral versus long-acting injectable atypical antipsychotics).
  • Measure drug performance in real-world settings and identify opportunities for value-based strategies.

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Behavioral health conditions

  • Substance use disorders

1.2M+ patients

  • Major depressive disorder

764K+ patients

  • Bipolar disorder

310K+ patients

  • Attention-deficit/hyperactivity disorder

282K+ patients

  • Adjustment disorders

199K+ patients

  • Post-traumatic stress disorder

157K+ patients

  • Generalized anxiety disorder

354K+ patients

  • Schizophrenia

94K+ patients

  • Personality disorders

91K+ patients

  • Panic disorder

101K+ patients

  • Conduct disorders

90K+ patients

    Behavioral health assessments

    • The NeuroBlu Database provides both composite scores for the below measures and responses for individual items within the scoring tools, enabling more granular research.
    • Brief Bipolar Disorder Symptom Scale (BDSS)
    • Brief Negative Symptom Assessment (BNSA)
    • Clinical Global Impressions Scale (CGI-I/CGI-S)
    • Columbia-Suicide Severity Rating Scale (C-SSRS)
    • Global Assessment of Functioning (GAF)
    • Patient Health Questionnaire-9 (PHQ-9)
    • Positive Symptom Rating Scale (PSRS)
    • The Daily Living Activities–20 (DLA-20)
    • The Quick Inventory of Depressive Symptomatology (QIDS)

    Pharmacological treatments

    • The NeuroBlu Database contains information on both psychotherapy and pharmacologic treatments. These include:
    • Antidepressants
    • Antipsychotics
    • Anxiolytics
    • Hypnotics and sedatives
    • Mood stabilizers
    • Psycholeptics
    • Psychostimulants

    Enriched data for deeper clinical context

    Delve deeper into a patient's profile with information from clinical notes. For the first time, meaningful clinical information from unstructured notes is available in the NeuroBlu Database, thanks to enriched data extracted by Holmusk's natural language processing (NLP) models.

    These NLP models, the first to be developed specifically for behavioral health, transform previously unusable information into standardized, fit-for-purpose variables, adding valuable context to research and enabling deeper understanding across multiple domains.


    Gain a comprehensive picture of patients' emotions, cognition, and behaviors with data on symptoms that are often not captured in the electronic health record, such as anhedonia for patients with major depressive disorder.

    External stressors

    Explore how life events and psychosocial environmental stressors impact patient outcomes and influence treatment response.

    Social determinants of health

    Better understand how social, relational, and occupational factors may impact behavioral health.

    Download the Fact Sheet

    Customized Support

    NeuroBlu Custom Analytics

    Need extra support with NeuroBlu? Conduct analyses using NeuroBlu alongside our team of clinical and data science experts, who can provide support tailored to your needs.


    We work alongside your teams to generate evidence that drives forward your organizational goals and creates value.


    Whether you need a quick code check, short-term analytics support, or an entire study design, we’re here to ensure you can obtain the insights you need.


    We strive to meet publication quality and frequently publish peer-reviewed papers and conference abstracts in collaboration with our research partners.