--- title: "Data Differentiators: Coverage and representativeness" description: We explain how the data within our NeuroBlu Database is differentiated from other EHR-derived RWD because of its coverage and representativeness. image: https://info.holmusk.com/hubfs/Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(7).png --- [![](https://info.holmusk.com/hs-fs/hubfs/Holmusk_masterlogo_blue-1.png?width=770&height=263&name=Holmusk_masterlogo_blue-1.png)](https://www.holmusk.com/) Open main menu Close main menu [mental health](https://info.holmusk.com/blog/tag/mental-health) [RWD](https://info.holmusk.com/blog/tag/rwd) [data capture](https://info.holmusk.com/blog/tag/data-capture) [NeuroBlu Database](https://info.holmusk.com/blog/tag/neuroblu-database) # Data Differentiators: Coverage and representativeness ![Joydeep Sarkar](https://info.holmusk.com/hs-fs/hubfs/Joydeep_Sarkar_Photo.png?width=45&name=Joydeep_Sarkar_Photo.png) [Joydeep Sarkar](https://info.holmusk.com/blog/author/joydeep-sarkar) [Share this blog post on Twitter](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://info.holmusk.com/blog/data-differentiators-coverage-and-representativeness) [Share this blog post on Facebook](http://www.facebook.com/share.php?u=https://info.holmusk.com/blog/data-differentiators-coverage-and-representativeness) [Share this blog post on LinkedIn](http://www.linkedin.com/shareArticle?mini=true&url=https://info.holmusk.com/blog/data-differentiators-coverage-and-representativeness) ![](https://info.holmusk.com/hubfs/Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(7).png) Our mission is to build the world’s richest real-world evidence platform for behavioral health to transform clinical research and care delivery. Our NeuroBlu Database delivers value to our customers by providing meaningful clinical information that helps to produce evidence that could not be easily generated otherwise. There are many options for EHR-derived real-world data (RWD) in the market, but historically few have focused on behavioral health disorders. However, as more players enter the behavioral health RWD market we have been committed to since our founding in 2015, we wanted to reflect on a few key ways in which our data stands out in a sea of big data. Follow along every Tuesday for the next several weeks as we share key differentiators of the NeuroBlu Database. First, we highlight several critical features of the data itself: 1. **Which regions does our data represent?** Our data represents over 30 clinics from U.S. states across the southern and northeastern U.S., including several of the largest states in the country. We are also working to expand on the rapid expansion of our database, continuously moving closer to our goal of nationally representative data. ![Copy of NeuroBlu Social Media Campaign (5)](https://info.holmusk.com/hs-fs/hubfs/Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(5).png?width=1200&height=675&name=Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(5).png) 2. **Who does our data cover?** In additional efforts toward representativeness, our data covers psychiatric departments and specialists within both private and public health systems. This means that the NeuroBlu Database includes patients covered by public and private payers. 3. **Which care settings does our data include?** The NeuroBlu Database covers multiple care settings, including emergency department, outpatient, substance use treatment, psychiatric emergency, observation, and admission psychotherapy, enabling researchers to follow patients along their journey as they receive care. ![Copy of NeuroBlu Social Media Campaign (6)](https://info.holmusk.com/hs-fs/hubfs/Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(6).png?width=1200&height=675&name=Copy%20of%20NeuroBlu%20Social%20Media%20Campaign%20(6).png) Ready to see for yourself? Explore the [NeuroBlu Database](https://www.neuroblu.ai/). ![Joydeep Sarkar](https://info.holmusk.com/hs-fs/hubfs/Joydeep_Sarkar_Photo.png?width=150&name=Joydeep_Sarkar_Photo.png) #### Joydeep Sarkar Joydeep is Chief Analytics Officer at Holmusk. He drives the overall data and computational strategy and development across Holmusk products and services. He brings over 15 years of experience in pioneering predictive tools for clinical trials, translational research, clinical decision support, and smart medical devices. Prior to Holmusk, Joydeep led the scientific and computational teams at Immunetrics and Bodylogical (PwC DoubleJump Health). ### Leave a Comment ## Related Articles [![A person exploring beneath the surface to extract hidden value ](https://info.holmusk.com/hubfs/data%20density%20blog%201.png)](https://info.holmusk.com/blog/what-is-data-density) [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) Innovation in behavioral health has long been limited by a lack of available data to support evidence-based decision-making. 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