Detailed healthcare analytics can help organizations improve patient outcomes and unlock cost savings, by enabling quicker recoveries, reducing readmissions, medical errors or gaps in care. However, healthcare organizations often miss out on capturing detailed information due to the large variety of healthcare datasets and non-structured formats. They need to right technologies to mine unstructured information like discharge summaries, clinical notes or complex datasets like images & genomics.
The CitiusTech workshop provides our point-of-view on how to build next-gen data management capabilities through the power of data science.

KEY LEARNINGS:
1. Best practices in enabling unified clinical information extraction
2. Optimizing the processing of incoming complex data with Data Science algorithms
3. Key design principles for ensuring reusable services
4. Reference algorithms to simplify clinical information extraction

свернуть