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
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;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/IEEM.2012.6838048