Narratives for Weill Cornell Radiology Collaborations with Computing & Information Science
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Daisy is a mobile app for patients to help manage their visit at the clinic, emergency department, or hospital. Designed directly from patient inputs in order to improve the experience.
- Facilitates private communication between patients and medical staff.
- Provides educational materials
- Guides them through the different steps during their visit
Slice is a search application for radiology reports. It is used by radiologists and residents. Slice has been built with a lot of feedback from radiologists. Slice is designed from bottom up to provide a great user experience.
The technology used are
- Front-end : React
- Back-end : Django
- Indexer : Apache Solr
- Parser : pyParsing
- Negation extraction and other NLP: Lingscope
Computational Healthcare indexes and aggregates data from millions of healthcare visits. Using novel aggregation strategies it simplifies data analysis, replication and dissemination process. Researchers can conduct millions of different studies in few clicks. Computational Healthcare is developed in collaboration with Radiology and Anesthesiology departments at Weill Cornell Medical College, Cornell University.