Creating Data Science Workflows – A Healthcare Use Case
Creating Data Science Workflows – A Healthcare Use Case


Data science and advanced analytics are becoming increasingly common in healthcare delivery and biomedical research. However, most applications are designed in laboratories and are not built to scale for production workflows. In this session, we will demonstrate a use case based on real-time, streaming healthcare data and how various applications in the data science toolkit can be used to build coordinated, production-grade software and workflows. We will demonstrate the tools and best practices for each step of the workflow, including data acquisition, validation, storage, and analysis. At the end of the presentation, individuals should be able to identify the tools needed and develop solution architectures that can be used within their own projects. An optional hands-on step involving synthetic patient data in standard healthcare formats will also be provided to develop a laboratory-based use case during the session.


Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google