Behavioral health is a fundamental and persistently overlooked aspect of overall health. Mental and substance use disorders impact a staggering 970 million people worldwide, with over US $1 trillion in global economic burden each year. Despite the skyrocketing crisis, progress has lagged behind other disease areas. Less than half of those living with major depression, the most widespread mental illness, reach remission on currently available treatments. Recent rising awareness has driven demand in a system unequipped to support the depth and breadth of need.
There is a debilitating evidence gap that inhibits research and innovation, stemming from inherent limitations in behavioral health: complex disease etiologies, lack of quantifiable biomarkers, and institutional silos. Despite decades of research, we still do not know how to alleviate most behavioral health disorders.
We need new solutions, and we need them now.
NeuroBlu is a data and analytics platform that enables uniquely powerful evidence generation. With the most robust behavioral health database of its kind and seamless AI-powered analytic tools, NeuroBlu gives researchers, life sciences companies, clinicians, and other industry partners the ability to generate insights like never before.
More than just an analytics platform, NeuroBlu enables discovery to improve lives.
Behavioral health transformation starts here.
NeuroBlu gives users unprecedented ability to generate novel insights, with longitudinal structured data on disease severity, symptoms, side effects, medications, and external stressors.
Delve into a rich, unique database with an easy-to-use interface designed for fast and scalable queries.
Investigate research questions and enhance care delivery with state-of-the-art analytics tools, including our proprietary NLP and AI/ML algorithms which seamlessly integrates into our solutions.
Generate insights with longitudinal severity scores and NLP-derived signs and symptoms, external stressors, and side effects.
NeuroBlu is fueled by a uniquely powerful behavioral health database, the only one of its kind.
rows of data
patients
geographically-
diverse health systems
years of longitudinal data
Over 20 years of longitudinal data and patient records spanning both inpatient and outpatient sites including hospitals, emergency departments, and community psychiatry clinics.
Meaningful clinical information not typically captured in a structured way is transformed into analyzable keywords representing a large family of symptoms, side effects, and external stressors.
Quantitative outcome measures allow users to track patient function and outcomes over time and understand the effectiveness of different interventions.
For example:
•Substance use disorders
479,000+ patients
•Major depressive disorder
347,000+ patients
•Bipolar disorder
184,000+ patients
•Attention-deficit/hyperactivity disorder
115,000+ patients
•Adjustment disorders
100,000+ patients
•Post-traumatic stress disorder
86,000+ patients
•Generalized anxiety disorder
80,000+ patients
•Borderline personality disorder
65,000+ patients
•Schizophrenia
61,000+ patients
•Panic disorder
27,000+ patients
255,000+ patients
251,000+ patients
134,000+ patients
82,000+ patients
63,000+ patients
34,000+ patients
33,000+ patients
19,000+ patients
16,000+ patients
For example:
•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 (PHQ-9)
•Positive Symptom Rating Scale (PSRS)
•The Daily Living Activities–20 (DLA-20)
•The Quick Inventory of Depressive Symptomatology (QIDS)
For example:
•Antidepressants
•Antipsychotics
•Anxiolytics
•Hypnotics and sedatives
•Mood stabilizers
•Psycholeptics
•Psychostimulants
Our novel Natural Language Processing (NLP) algorithm transforms rich clinician notes into structured data that predicts disease severity.
Clinician notes are valuable troves of information on patient experience, treatment response, and outcomes that are not captured in other EHR or claims data sources. Analyzing unstructured notes is typically arduous and time-consuming.
Our proprietary NLP model unlocks insights from clinician notes, allowing for large-scale analysis and disease modeling. We have over 300 psychiatry-specific structured labels on granular symptoms, side effects, external stressors, and more. These labels can also be used to predict disease severity based on CGI-S scores, opening up a new frontier for scalable analysis of patient experiences through clinician notes.
Going beyond standard context-aware keyword search NLP approaches, our proprietary NLP models are designed specifically to handle the complexity of psychiatric care, which lacks standardized terminology and relies heavily on subjective assessments and verbose descriptions. Our NLP approach leverages the latest innovation in machine learning and language modeling to interpret full sentences using an attention based deep learning, producing granular structured data labels.
Designed by a team of scientists, clinicians, and industry experts, NeuroBlu's robust tools drive Real-World Evidence generation with unparalleled ease.
NeuroBlu's custom-built architecture brings the power of high-performance computing and innovation to real-world studies. User-friendly tools streamline typically laborious and error-prone analysis steps, enabling users to get to insights without having to spend hours cleaning data and troubleshooting code. Built-in custom libraries let you use the data with ease - no need to spend hours navigating a complex data model, because our data scientists did it for you.
View data and get high-level summaries of the dataset, including a set of visualizations describing the population characteristics
Intuitive graphical interface allowing you to build your study cohort using a few clicks, and view cohort characteristics with charts updated in real-time
Simple and streamlined tool to build groupings of values (e.g., diagnosis codes or drug type) to create custom categories for use across multiple projects in a simple and less error-prone way
Perform custom analytics in R with your own code or from our built-in library of code templates for popular studies
Powerful insights to drive clinical and commercial success in life sciences, and improve care delivery.
R&D Strategy
Clinical Development
NeuroBlu platform seamlessly connects our behavioral health data and analytics capabilities with our behavioral health expertise to bring specialized solutions to customers across the healthcare ecosystem.
NeuroBlu platform seamlessly connects our behavioral health data and analytics capabilities with our behavioral health expertise to bring specialized solutions to customers across the healthcare ecosystem.
NeuroBlu is a behavioral health real-world data and analytics solution that enables users to access the industry-leading proprietary behavioral health dataset with structured outcome measures and seamless AI-powered analytic tools.
NeuroBlu’s robust tools drives real-world evidence generation with unparalleled ease, providing bespoke research and support services to solve complex behavioral health questions.
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NeuroBlu Health is a behavioral health care management and analytics solution that leverages NeuroBlu’s robust database to provide clinicians with valuable data-driven recommendations, assisting clinicians in making patient-specific care decisions in behavioral health.
NeuroBlu Health is equipped with user-friendly tools that streamline care management processes, freeing up clinicians to devote their time and resources to patients.
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More solutions coming soon.
We know data is only as useful as its impact. Our team has spent years building expertise in the intricacies of behavioral health data, and we will work collaboratively with you to help generate evidence that matters.
Rapid onboarding and training with dedicated customer support plus in-depth tutorials and FAQs.
Dedicated support to help you extract the most value from your NeuroBlu license.
Tap into our data science and machine learning expertise for custom analytics.
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