TY - JOUR
T1 - Assessing the conformity to clinical guidelines in oncology: An example for the multidisciplinary management of locally advanced colorectal cancer treatment
AU - Lenkowicz, Jacopo
AU - Gatta, Roberto
AU - Masciocchi, Carlotta
AU - Casa, Cristina
AU - Cellini, Francesco
AU - Damiani, Andrea
AU - Dinapoli, Nicola
AU - Valentini, Vincenzo
PY - 2018
Y1 - 2018
N2 - Purpose: The purpose of this paper is to describe a methodology to deal with conformance checking through the implementation of computer-interpretable-clinical guidelines (CIGs), and present an application of the methodology to real-world data and a clinical pathway for radiotherapy-related oncological treatment. Design/methodology/approach: This methodology is implemented by a software able to use the hospital electronic health record data to assess the adherence of the actual executed clinical processes to a clinical pathway, monitoring at the same time management-related efficiency and performance parameters, and ideally, suggesting ways to improve them. Findings: Three use cases are presented, in which the results of conformance checking are used to compare different branches of the executed guidelines with respect to the adherence to ideal process, temporal distribution of state-to-state transitions, and overall treatment efficacy, in order to extract data-driven evidence that could be of interest for the hospital management. Originality/value: This approach has the result of applying management-oriented data mining technique on sequential data, typical of process mining, to the result of a conformity check between the preliminary knowledge defined by clinicians and the real-world data, typical of CIGs.
AB - Purpose: The purpose of this paper is to describe a methodology to deal with conformance checking through the implementation of computer-interpretable-clinical guidelines (CIGs), and present an application of the methodology to real-world data and a clinical pathway for radiotherapy-related oncological treatment. Design/methodology/approach: This methodology is implemented by a software able to use the hospital electronic health record data to assess the adherence of the actual executed clinical processes to a clinical pathway, monitoring at the same time management-related efficiency and performance parameters, and ideally, suggesting ways to improve them. Findings: Three use cases are presented, in which the results of conformance checking are used to compare different branches of the executed guidelines with respect to the adherence to ideal process, temporal distribution of state-to-state transitions, and overall treatment efficacy, in order to extract data-driven evidence that could be of interest for the hospital management. Originality/value: This approach has the result of applying management-oriented data mining technique on sequential data, typical of process mining, to the result of a conformity check between the preliminary knowledge defined by clinicians and the real-world data, typical of CIGs.
KW - Clinical guidelines
KW - Clinical pathway
KW - Conformance checking
KW - Evidence-based practice
KW - Process mining
KW - Clinical guidelines
KW - Clinical pathway
KW - Conformance checking
KW - Evidence-based practice
KW - Process mining
UR - http://hdl.handle.net/10807/204409
U2 - 10.1108/MD-09-2017-0906
DO - 10.1108/MD-09-2017-0906
M3 - Article
SN - 0025-1747
VL - 56
SP - 2172
EP - 2186
JO - Management Decision
JF - Management Decision
ER -