DocumentCode
2419195
Title
Pathway identification via process mining for patients with multiple conditions
Author
Xiaojin Zhang ; Songlin Chen
Author_Institution
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
1754
Lastpage
1758
Abstract
Pathway identification is essential to support patient-centered clinical guideline design for patients with multiple conditions. This research proposes a method based on process mining to sift through a large number of patients´ medical records in order to match patients´ medical profiles with the healthcare services needed in the form of pathways. A heuristics miner algorithm is developed and tested with a case study involving patients with multiple conditions. It is found that process mining can be applied in the healthcare context to identify pathways with correct ordering of healthcare services and process constructs. The mined pathways provide a reference process model for designing healthcare services that are catered to individual patients´ needs.
Keywords
data mining; electronic health records; health care; healthcare context; healthcare services; heuristics miner algorithm; pathway identification; patient medical records; process mining; support patient-centered clinical guideline design; Algorithm design and analysis; Data mining; Diseases; Guidelines; Heuristic algorithms; Mathematical model; Pathway; process mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Type
conf
DOI
10.1109/IEEM.2012.6838048
Filename
6838048
Link To Document