Data Science and Analytics

Research data requests involve pulling structured data from various sources, but most commonly from Epic, the electronic health record we use at Lurie Children’s. Our reporting team will work with you to define your query design and pull the data. 

Please note you must have an approved IRB to pull any data for a research project. 

We provide up to 20 hours of research data request work at no cost. Anything over 20 hours requires funding or resubmitting a request.

Leveraging a rich historical database of critical care bedside monitor data to uncover vital insights into patient health and disease progression. Our data includes 10+ years of continuous raw waveforms, vitals, alarms from Lurie Children’s PICU, NICU, CICU and some NICU beds at Northwestern Medicine's Prentice Women’s Hospital.

Analyzing visible light and other sensor arrays, including video and volumetric techniques that can be used to enrich discrete clinical data for predictive modeling.

Developing and deploying ML models for predicting clinical (and operational) outcomes within the EHR

Employing remote health (and environmental) data to enhance patient monitoring and care delivery.

Extracting and analyzing of valuable information from unstructured text within medical records, literature, and patient feedback using both traditional NLP techniques and advanced large language models

Providing infrastructure and expertise to manage and analyze large-scale healthcare data sets.

Utilizing state-of-the-art analytics tools (Python, MATLAB, R, Spark) for in-depth data analysis and modeling.

Creating intuitive and interactive visual representations of complex data sets to facilitate understanding and decision-making.