Solutions
NeuroBlu Data is the largest source of real-world behavioral and mental health data - longitudinal and NLP enriched to unlock clinical insights.
Leading Source for
Behavioral & Mental Health
Real-World Data
Patients
Geographically-diverse health systems
Years of longitudinal data
Linkability
Connects patient data across time and care settings to enable longitudinal analysis and richer clinical insights.
Longitudinal
Over 20 years of behavioral health data from diverse care environments including inpatient, outpatient, emergency, crisis, and community settings.
Comprehensive
Combines structured data with NLP-enriched clinical notes to support multidimensional cohort development and outcomes research.
Depth
Offers validated behavioral health variables—assessments, symptoms, testing, and interventions—for advanced analytics and decision-making.
Our data encompasses over 36 million patients across more than 20 years treated in multiple care settings - inpatient, outpatient, and primary care. Structured fields in NeuroBlu Data include:
- Major depressive disorder
9.7M+ patients
- Substance use disorder
8.9M+ patients
- Generalized anxiety disorder
4.4M+ patients
- Attention deficit hyperactivity disorder
3.7M+ patients
- Post-traumatic stress disorder
1.6M+ patients
- Schizophrenia
442K+ patients
- Bipolar I disorder
439K+ patients
- Schizoaffective disorder
349K+ patients
- Obsessive compulsive disorder
349K+ patients
- Bipolar II disorder
299K+ patients
- Borderline personality disorder
182K+ patients
- Brief Bipolar Disorder Symptom Scale (BDSS)
- Brief Negative Symptom Assessment (BNSA)
- Clinical Global Impressions (CGI-I/CGI-S)
- Columbia-Suicide Severity Rating Scale (C-SSRS)
- Global Assessment of Functioning (GAF)
- Patient Health Questionnaire-9/2 (PHQ-9/2)
- Positive Symptom Rating Scale (PSRS)
- The Daily Living Activities–20 (DLA-20)
- The Quick Inventory of Depressive Symptomatology (QIDS)
and more
- Antidepressants
- Antipsychotics
- Anxiolytics
- Dementia treatments
- Hypnotics and sedatives
- Mood stabilizers
- Psycholeptics
- Psychostimulants
and more
- Quick Screening for Early Dementia Detection (Mini-Cog©)
- Mini Mental Status Examination (MMSE®)
- Montreal Cognitive Assessment (MoCA)
and more
NeuroBlu NLP
Key enriched data elements include:
Behavioral Observations & Symptoms
Extracts rich clinical detail from free-text notes, including mood, cognition, behavior, and affect—capturing nuanced symptoms that structured fields often miss (e.g., anhedonia in major depressive disorder).
Clinical Outcomes & Psychosocial Context
Monitors patient progress—improvement, deterioration, or stability—over time, while incorporating psychosocial dimensions that influence behavioral health outcomes.
Real-World Safety & Treatment Signals
Leverages unstructured clinical narratives to surface real-world side effects, adverse events, and therapeutic responses, offering a valuable lens for drug safety surveillance, comparative effectiveness studies, and optimization of treatment strategies.
NeuroBlu Data supports diverse needs
•R&D Strategy
- Identify patient subpopulations 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 exhibit 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.
- 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 outcomes — 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 use of drugs for Major Depressive Disorder to identify related behavioral health conditions for further clinical evaluation.
- Guide evidence-driven care to enhance care management for patients at risk and to improve behavioral health outcomes.
- Produce publications demonstrating therapeutic benefit in real-world settings to increase visibility and influence among key opinion leaders and healthcare professionals.
- 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.
Access insights in just a few clicks
Quickly analyze and gain immediate insight from millions of de-identified electronic health records with NeuroBlu Analytics, 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 Analytics organizes and makes available the most important resource to support this understanding—clinical data captured during care delivery.
See Neuroblu Analytics in Action
NeuroBlu Health is a behavioral health-focused care management and population health solution that unlocks real-world, structured data from providers’ electronic health records (EHRs) to deliver fast, precise, and actionable insights.
Reduce Avoidable Costs of Care
Leverage behavioral health-specific risk detection and patient complexity insights to identify potential crises early, enabling timely intervention that reduces readmissions and saves costs.
Improve Care Operations
Optimize workload, streamline care coordination, and reduce administrative burdens — freeing up clinical capacity, supporting provider well-being, and boosting overall system efficiency.
Advance Quality of Care
Use automated insights to ensure adherence to clinical protocols, close care gaps, monitor outcomes, and drive quality improvement.
Conduct analyses alongside our team of clinical and data science experts, who can provide support tailored to your needs.
