Title :
Nonconfidential Patient Types in Emergency Clinical Decision Support
Author :
Chignell, Mark ; Rouzbahman, Mahsa ; Kealey, Ryan ; Samavi, Reza ; Yu, Elaine ; Sieminowski, Tammy
Author_Institution :
Univ. of Toronto, Toronto, ON, Canada
Abstract :
Simple tools are needed to support differential diagnosis in a cognitively complex setting. Tools that show similar patients´ diagnoses and treatment trajectories might provide useful clinical decision support for emergency physicians who use a case-based reasoning approach. However, privacy concerns that arise with indirect use of electronic health records (EHRs) must be addressed. The authors present a method to abstract a collection of EHRs into a set of summarized patient types and demonstrate its use on a database of medical records.
Keywords :
case-based reasoning; data privacy; decision support systems; electronic health records; patient diagnosis; patient treatment; security of data; EHR; case-based reasoning approach; electronic health records; emergency clinical decision support; medical record database; nonconfidential patient types; patients diagnoses; privacy concerns; treatment trajectories; Clinical diagnosis; Data mining; Decision making; Hospitals; Medical diagnostic imaging; Medical services; EHRs; clustering; data mining; electronic health records; healthcare; patient types; privacy; summarization;
Journal_Title :
Security & Privacy, IEEE
DOI :
10.1109/MSP.2013.103
