---
title: "The Hol Picture: Our Insights on RWE and Behavioral Health | NLP"
description: NLP | 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

- [ABOUT US](https://www.holmusk.com/about-us/vision)
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Posts about:

## NLP

![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)

![](https://info.holmusk.com/hubfs/Mental%20Health%20Month%202023%20(1).png)

[mental health,](https://info.holmusk.com/blog/tag/mental-health) [RWD,](https://info.holmusk.com/blog/tag/rwd) [behavioral health,](https://info.holmusk.com/blog/tag/behavioral-health) [suicide prevention,](https://info.holmusk.com/blog/tag/suicide-prevention) [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) [socioenvironmental factors](https://info.holmusk.com/blog/tag/socioenvironmental-factors)

### [Capitalizing on untapped value: Extracting environmental stressors from clinical notes via natural language processing](https://info.holmusk.com/blog/capitalizing-on-untapped-value-extracting-environmental-stressors-from-clinical-notes-via-natural-language-processing)

May 22, 2023 7:30:00 AM

Consider an emergency room doctor who is caring for a patient who has been hospitalized after a suicide attempt. When she consults his chart, she can see that he has been diagnosed with depression, but the structured data that is immediately available does not provide much additional context. 

![Abhijit Ghosh](https://info.holmusk.com/hs-fs/hubfs/abhijit.jpeg?width=45&name=abhijit.jpeg) 

[Abhijit Ghosh](https://info.holmusk.com/blog/author/abhijit-ghosh) 

[Read More](https://info.holmusk.com/blog/capitalizing-on-untapped-value-extracting-environmental-stressors-from-clinical-notes-via-natural-language-processing)

![](https://info.holmusk.com/hubfs/Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(11).png)

[real-world data,](https://info.holmusk.com/blog/tag/real-world-data) [RWD,](https://info.holmusk.com/blog/tag/rwd) [outcomes,](https://info.holmusk.com/blog/tag/outcomes) [NeuroBlu Database,](https://info.holmusk.com/blog/tag/neuroblu-database) [NLP,](https://info.holmusk.com/blog/tag/nlp) [symptoms,](https://info.holmusk.com/blog/tag/symptoms) [natural language processing](https://info.holmusk.com/blog/tag/natural-language-processing)

### [Data Differentiators: Revealing New Information via Natural Language Processing](https://info.holmusk.com/blog/data-differentiators-revealing-new-information-through-natural-language-processing)

Dec 8, 2022 9:55:20 AM

*This blog post is a continuation of our Data Differentiators series, in which we’re sharing how the NeuroBlu Database stands out from other EHR-derived real-world data sources. For previous installments of the series, see [here](https://info.holmusk.com/blog/data-differentiators-coverage-and-representativeness)and [here.](https://info.holmusk.com/blog/tag/blog/data-differentiators-deeper-insights-with-psychometric-scales)*

![Matthew Valko](https://info.holmusk.com/hs-fs/hubfs/Matt_Valko.png?width=45&name=Matt_Valko.png) 

[Matthew Valko](https://info.holmusk.com/blog/author/matthew-valko) 

[Read More](https://info.holmusk.com/blog/data-differentiators-revealing-new-information-through-natural-language-processing)

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