Holmusk's unique suite of solutions combines cutting-edge digital tools with next-generation analytics, making unprecedented innovation possible.
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.
Easily explore your options as NeuroBlu’s intuitive design helps guide you through next steps.
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.
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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.
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
Track patterns over time with data spanning 20+ years.
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.
Ensure a representative study population by leveraging data captured across geographically diverse inpatient and outpatient sites, including hospitals, emergency rooms, and community psychiatry clinics.
Leverage deep data on disease severity and item-level data within standardized measures to gain deep understanding on patient well-being and outcomes.
Gain insights that are current and applicable with a 30-day recency period.
NeuroBlu has supported over 50 publications and conference presentations.
Address more challenging behavioral health questions as additional patient lives are added to the NeuroBlu Database.
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.
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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.
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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.