---
title: "The Hol Picture: Our Insights on RWE and Behavioral Health | data density"
description: data density | Sharing insights to enhance research and care and improve behavioral health conditions for all
---

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# The Hol Picture

Our Insights on Real-World Evidence and Behavioral Health

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Posts about:

## data density

![A team of colleagues working on oversized gears](https://info.holmusk.com/hubfs/data%20density_blog%204.png)

[real-world data,](https://info.holmusk.com/blog/tag/real-world-data) [RWD,](https://info.holmusk.com/blog/tag/rwd) [behavioral health,](https://info.holmusk.com/blog/tag/behavioral-health) [clinical research,](https://info.holmusk.com/blog/tag/clinical-research) [NeuroBlu Database,](https://info.holmusk.com/blog/tag/neuroblu-database) [NLP,](https://info.holmusk.com/blog/tag/nlp) [natural language processing,](https://info.holmusk.com/blog/tag/natural-language-processing) [electronic health record,](https://info.holmusk.com/blog/tag/electronic-health-record) [clinical data,](https://info.holmusk.com/blog/tag/clinical-data) [data density](https://info.holmusk.com/blog/tag/data-density)

### [NeuroBlu NLP: A Technical Deep Dive into Developing NLP models for Clinical Insights](https://info.holmusk.com/blog/neuroblu-nlp-a-technical-deep-dive-into-developing-nlp-models-for-clinical-insights)

Feb 14, 2024 1:44:52 PM

The landscape of mental health research is evolving, and tools like Natural Language Processing (NLP) hold immense potential to bridge the gap between clinical trials and real-world evidence. As we strive to enhance our understanding of mental health outcomes and treatment effectiveness, a strategic implementation of NLP tools becomes pivotal.

This blog explores a high-level overview of how we developed NeuroBlu NLP - Holmusk’s NLP models specifically tailored for extracting disease-specific clinical features from unstructured clinical text. These NLP-derived clinical features are then integrated into our structured data and made available in NeuroBlu, Holmusk’s powerful data analytics software for behavioral health. The incorporation of NLP-derived features into structured data provides a more comprehensive, easily accessible estimate of patient phenotypes in the real-world, ultimately benefiting patient care.

![Deepali Kulkarni](https://info.holmusk.com/hs-fs/hubfs/Deepali_Kulkarni_pic.jpg?width=45&name=Deepali_Kulkarni_pic.jpg) 

[Deepali Kulkarni](https://info.holmusk.com/blog/author/deepali-kulkarni) 

[Read More](https://info.holmusk.com/blog/neuroblu-nlp-a-technical-deep-dive-into-developing-nlp-models-for-clinical-insights)

![A team of researchers at a computer, viewing charts and graphs](https://info.holmusk.com/hubfs/data%20density_blog%203%20(1).png)

[real-world data,](https://info.holmusk.com/blog/tag/real-world-data) [RWD,](https://info.holmusk.com/blog/tag/rwd) [behavioral health,](https://info.holmusk.com/blog/tag/behavioral-health) [clinical research,](https://info.holmusk.com/blog/tag/clinical-research) [natural language processing,](https://info.holmusk.com/blog/tag/natural-language-processing) [electronic health record,](https://info.holmusk.com/blog/tag/electronic-health-record) [clinical data,](https://info.holmusk.com/blog/tag/clinical-data) [data density](https://info.holmusk.com/blog/tag/data-density)

### [How NLP-enriched data advances clinical research](https://info.holmusk.com/blog/how-nlp-enriched-data-advances-clinical-research)

Oct 4, 2023 12:26:52 PM

Real-world evidence has been increasingly recognized as an important complement to clinical research. In clinical research, randomized controlled trials often have stringent inclusion criteria which may exclude certain patient groups, such as those with comorbidities. When clinical trial populations diverge from patient populations seen in a real-world care setting, insights gained might not be widely applicable to all people. Analyzing real-world data, such as clinical information recorded in electronic health records (EHR) as part of routine clinical care, can provide insights that are generalizable to real-world populations.

![Kira Griffiths](https://info.holmusk.com/hs-fs/hubfs/KG_Headshot.jpeg?width=45&name=KG_Headshot.jpeg) 

[Kira Griffiths](https://info.holmusk.com/blog/author/kira-griffiths) 

[Read More](https://info.holmusk.com/blog/how-nlp-enriched-data-advances-clinical-research)

![A man standing before a winding path embedded with symbols in a forest with mountains in the background.](https://info.holmusk.com/hubfs/data%20density%20blog%202%20(1).png)

[real-world data,](https://info.holmusk.com/blog/tag/real-world-data) [RWD,](https://info.holmusk.com/blog/tag/rwd) [behavioral health,](https://info.holmusk.com/blog/tag/behavioral-health) [NeuroBlu Database,](https://info.holmusk.com/blog/tag/neuroblu-database) [electronic health record,](https://info.holmusk.com/blog/tag/electronic-health-record) [clinical data,](https://info.holmusk.com/blog/tag/clinical-data) [data density](https://info.holmusk.com/blog/tag/data-density)

### [Enhancing Data Density in EHR Data for Behavioral and Mental Health Analysis: The 4 I's Approach](https://info.holmusk.com/blog/ehr-data-claims-data-and-what-each-can-offer-for-behavioral-health-research-0)

Sep 20, 2023 10:00:00 AM

In the realm of behavioral and mental health, electronic health records (EHR) data is a goldmine of information. However, the challenge lies in the fact that these data often need more density for comprehensive analysis.

![Kevin Holland](https://info.holmusk.com/hs-fs/hubfs/Kevin%20headshot.jpeg?width=45&name=Kevin%20headshot.jpeg) 

[Kevin Holland](https://info.holmusk.com/blog/author/kevin-holland) 

[Read More](https://info.holmusk.com/blog/ehr-data-claims-data-and-what-each-can-offer-for-behavioral-health-research-0)

![A person exploring beneath the surface to extract hidden value ](https://info.holmusk.com/hubfs/data%20density%20blog%201.png)

[real-world data,](https://info.holmusk.com/blog/tag/real-world-data) [NeuroBlu Database,](https://info.holmusk.com/blog/tag/neuroblu-database) [electronic health record,](https://info.holmusk.com/blog/tag/electronic-health-record) [clinical data,](https://info.holmusk.com/blog/tag/clinical-data) [data density](https://info.holmusk.com/blog/tag/data-density)

### [What is data density?](https://info.holmusk.com/blog/what-is-data-density)

Sep 6, 2023 8:00:00 AM

Innovation in behavioral health has long been limited by a lack of available data to support evidence-based decision-making. This lack of data can be attributed to many factors. Some of these factors are impossible to change, such as the heterogeneity of how the same diagnosis presents differently from patient to patient. Others could be changed but not without cooperation across behavioral health stakeholders; for example, a lack of consensus regarding how to define patient improvement, in addition to which tools to use to measure improvement, has resulted in a lack of standardization unseen in other areas of health.

![Alex Vance](https://info.holmusk.com/hs-fs/hubfs/Alex%20Vance.jpeg?width=45&name=Alex%20Vance.jpeg) 

[Alex Vance](https://info.holmusk.com/blog/author/alex-vance) 

[Read More](https://info.holmusk.com/blog/what-is-data-density)

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