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

Volume

11

Issue

6

fYear

2013

fDate

Nov.-Dec. 2013

Firstpage

12

Lastpage

18

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;

fLanguage

English

Journal_Title

Security & Privacy, IEEE

Publisher

ieee

ISSN

1540-7993

Type

jour

DOI

10.1109/MSP.2013.103

Filename

6576106