The Evidence
Blueprint
BEHAVIORAL HEALTH
Research-Grade
Real-world data
Building the future of behavioral health with Real-World Data and analytics
BEHAVIORAL HEALTH
Research-Grade
Real-world data
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 onto a system not equipped 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, pharma, clinicians, and other industry partners the ability to create insights like never before.
More than just an analytics tool, 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, and external stressors.
Delve into a rich, unique database in an easy-to-use interface designed for fast and scalable queries
Investigate research questions with an integrated Code Studio (R/Python) interface, advanced analytics packages, and our built-in Holmusk-developed code library
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.
Patients
Rows of data
Years of longitudinal data
Geographically-
diverse psychiatry sites
Over 20 years of longitudinal data and patient records spanning both inpatient and outpatient sites including hospitals, emergency departments, and community psychiatry sites
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 measure allows users to track patient function and outcomes over time and understand efficacy of different interventions
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
Address key research questions to drive clinical and commercial success in life sciences.
•R&D Strategy
•Clinical Development
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
Publication
April 26, 2022
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April 8, 2022
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April 1, 2022
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