Abstract
We present in this paper the extraction of relational patterns on a hospital discharge database to monitor for quality of care. We delineate the requirements set for the extraction of meaningful medical practices from the data and describe how relational patterns address these requirements. Patterns representing practices regarding hospitalization instances are comprehensive and easy to interpret - making them useful for quality management decision making. We demonstrate how relational patterns can be applied to identify poor practices embedded in hospitalization processes and trigger subsequent inquiries.
| Original language | English |
|---|---|
| Pages (from-to) | 148 |
| Number of pages | 1 |
| Journal | Proceedings of the Hawaii International Conference on System Sciences |
| State | Published - 1 Jan 2001 |
| Event | 34th Annual Hawaii International Conference on System Sciences - Maui, HI, United States Duration: 3 Jan 2001 → 6 Jan 2001 |
Keywords
- Multi relation patterns
- Relational patterns
ASJC Scopus subject areas
- General Computer Science