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NeuroBlu v3.5: Enhancing data density through patient tokenization and additional outcomes data

October 25, 2023

In the healthcare field, fragmented data is a significant bottleneck. Patients almost never receive care at one institution for their entire lives. Individual Electronic Health Records (EHRs) from different clinics, hospitals, and healthcare systems often exist in silos, making comprehensive patient analysis challenging. This fragmentation also hinders accurate diagnosis and treatment planning, causing inefficiencies and elevating risks in patient care.

To address these challenges, we have created NeuroBlu, a best-in-class analytics tool for behavioral health insights powered by the most robust real-world database in the field. Holmusk is dedicated to setting the gold standard in behavioral health data, bridging the evidence gap in care, and enhancing research. With our vision in mind, we are thrilled to announce the latest evolution of our product, NeuroBlu v3.5 - more refined data architecture, richer outcomes data, and the expansion of NeuroBlu NLP.

Enhanced Data Integrity and Scalability

With the integration of the Master Patient Repository (MPR) into the CDM person table, our data mapping is now even more streamlined, enhancing the quality of patient-related insights. The MPR is a repository where we store all information about patient IDs in the Holmusk data ecosphere. It enables us to efficiently maintain, link, and deduplicate patient IDs across disparate data systems, and continue to track patients when health systems change EHR software. We ensure that data is accurate and holistic by having a single source of truth for each patient, i.e., tokenization. Researchers can generate more pointed and comprehensive analyses with deduplicated and mapped records, ultimately driving better patient outcomes.

MPR ensures a single, reliable identifier for patients, enabling more streamlined analyses via Code Studio

The care site table, which can be found in the Data Explorer feature, is now more detailed, ensuring we have a 360-degree view of patient interactions. The care site table lists uniquely identified institutional (physical or organizational) units where healthcare delivery is practiced (offices, wards, hospitals, clinics, etc.). The care sitetable enhancement enables NeuroBlu users to better define the site of care for a specific patient, cohort, or grouping. The ability to analyze patient outcomes, patient journeys, and the effectiveness of interventions across different care settings is now even more robust.

The addition of the crosswalk for depressive measurements addresses the existing gap in comparing and synthesizing mental health data that comes from varying measurement scales. The crosswalk ensures that different assessment tools (QIDS and PHQ) can be translated and compared accurately; this update can be found in the Data Dictionary in Data Explorer. This addition standardizes the interpretation and synthesis of diverse mental health metrics.

Additions like the MPR, care site table, and crosswalks pave the way for a more scalable system that captures a comprehensive patient journey, even across data sources, and can handle an increasing number of EHR partners without compromising on data quality.

Richer data

We have deployed an expansion of the Mental Status Examination (MSE) for one of our partner’s historical EHR datasets. This has led to the inclusion of approximately 48K additional patients with MSE. Read more about how we continue enhancing our data density with support from our partners in our recent blog, Enhancing Data Density in EHR Data for Behavioral and Mental Health Analysis: The 4 I's Approach. One of the steps to increase data density described in the blog is Integration. We uncover “new” data by continuously mining our existing data sources to maximize the value derived from each source. We aim to ensure that as much existing data as possible can be integrated and made available in NeuroBlu.

Cohort Explorer now includes MSE, in addition to CGI-S, GAF, and C-SSRS, as an Outcome variable within the inclusion and exclusion criteria. Users can now specify the minimum number of MSE measurements in a cohort of interest within a specified duration of time e.g., index date.

NeuroBlu is the richest source of real-world data for behavioral health. NeuroBlu v3.5 provides the framework to better understand patient journeys across institutions and EHR systems. It demonstrates increased data density by adding outcome measures and applying cutting-edge technology like the Master Patient Repository and crosswalks.

Interested in learning more? Contact us to schedule a demo.

For customers, reach out to us via the (new!) support chat within NeuroBlu.

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