Patterns extraction for monitoring medical practices

M. Tsechansky, N. Pliskin, G. Rabinowitz, M. Tsechansky

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Pages (from-to)148
Number of pages1
JournalProceedings of the Hawaii International Conference on System Sciences
StatePublished - 1 Jan 2001
Event34th Annual Hawaii International Conference on System Sciences - Maui, HI, United States
Duration: 3 Jan 20016 Jan 2001


  • Multi relation patterns
  • Relational patterns

ASJC Scopus subject areas

  • General Computer Science


Dive into the research topics of 'Patterns extraction for monitoring medical practices'. Together they form a unique fingerprint.

Cite this