We're thrilled to introduce the latest enhancements in NeuroBlu Analytics v4.8, designed to provide deeper insights, streamline workflows, and enhance the quality of behavioral health research. Here’s what’s new:

Data Asset Enhancements (24R7)

Our growing database has been enriched with new assessments and improved quality, providing researchers with even more robust data:

• 300k+ new patients, bringing the total to 34.5M records.
• 1.5M+ new AUDIT-C assessments across 414k+ patients.
• 425k+ new C-SSRS suicide risk level records added for advanced risk analysis.
• Improved temporal NLP capabilities for precise suicide risk assessment.
• Standardized expert determination rules to ensure superior data quality and reliability.

Attrition Chart in Cohort Explorer

The new Attrition Chart brings clarity and precision to cohort analysis by providing:

• Interactive visualization of patient flow through inclusion and exclusion criteria, making it easy to track changes dynamically.
• Real-time updates as cohort definitions are modified, ensuring instant feedback on your adjustments.
• Step-by-step visual breakdown of patient counts at each selection stage for clear insights into the cohort refinement process.
• Detailed Attrition Table for a comprehensive view of patient counts and filtering steps in tabular form.

These features provide a robust, user-friendly way to understand and refine your patient cohorts with confidence.

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Direct Cohort Import to SQL Studio

You can now directly import cohort definitions from Cohort Explorer to SQL Studio, ensuring a seamless transition between exploratory and advanced analytics:

• Preserve patient and index dates: Keep critical cohort definitions intact.
• Streamlined workflow: Accelerate your research pipeline with fewer manual steps.
• Integrated analysis: Move effortlessly between visual exploration and advanced SQL queries.

Advanced NLP Implementation

We are expanding our NLP capabilities with significant advancements to support more comprehensive and precise suicide risk analysis. This release includes:

• Expanded temporal suicidality labels applied across multiple partners, covering:
  • Suicidal attempts with temporality.
  • Suicidal thoughts with temporality.
  • Suicidal behaviors with temporality.
• Enhanced precision for analyzing suicide risk over time, ensuring greater accuracy in longitudinal assessments.
• Standardized temporal NLP data structures, across all data partners.

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We invite our user community to explore these powerful new tools in NeuroBlu Analytics v4.8. By leveraging these new features, researchers can drive analysis quickly and efficiently and contribute to advancing behavioral and mental health care and treatment strategies.

Interested in seeing NeuroBlu Analytics for yourself? Contact us to schedule a demo.

Already a customer? Log in here.

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