Holmusk utilizes a robust behavioral health database and AI-powered analytics to generate real-world evidence that enhances research and care in behavioral health. The platform addresses the lack of standardized measurement for symptoms and quality of care, enabling stakeholders to make informed decisions that improve patient outcomes.
Funding
$113.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The behavioral health sector lacks standardized methods for measuring symptoms and care quality, hindering the development of effective treatments and efficient care delivery. This absence of standardized measurement makes it difficult to generate real-world evidence to guide decision-making and improve patient outcomes.
Solution
Holmusk provides a real-world evidence platform for behavioral health, leveraging a large database of clinical data and AI-powered analytics. The NeuroBlu Database contains longitudinal data from over 1 million patients across geographically diverse health systems in the U.S. This data is enriched using natural language processing models developed specifically for behavioral health, transforming unstructured clinical notes into standardized measures. The NeuroBlu Analytics engine enables researchers to build patient cohorts, conduct studies, and generate evidence to improve treatment development, care delivery, and patient outcomes.
Target Audience
The primary users are researchers, life science companies, providers, payers, and government & regulators in the behavioral health ecosystem.
Features
- NeuroBlu Database: A real-world data source with longitudinal data from over 1 million patients.
- Enriched Data: Natural language processing models extract and standardize data from unstructured clinical notes.
- Comprehensive Data: Includes information on behavioral health conditions, assessments, and pharmacological treatments.
- Analytics Software: User-friendly data analytics software with no-code capabilities and pre-designed study templates.
- Custom Analytics: Collaboration with clinical and data science experts to conduct end-to-end studies.
- Clinical Decision Support: Management and Supervision Tool (MaST) leverages data visualization and predictive analytics to prioritize individuals at risk of crisis.