TY - GEN
T1 - Evaluating the Effectiveness of Interactive Process Discovery in Healthcare
T2 - International Workshops on AI4BPM, BP-Meet-IoT, BPI, BPMinDIT, BPMS2, DEC2H, MIEL, PM-DiPro, PODS4H, PQ, SPBP, VEnMo 2019 held at the 17th International Conference on Business Process Management, BPM 2019
AU - Benevento, Elisabetta
AU - Dixit, Prabhakar M.
AU - Sani, M. F.
AU - Aloini, Davide
AU - van der Aalst, Wil M.P.
PY - 2019
Y1 - 2019
N2 - This work aims at investigating the effectiveness and suitability of Interactive Process Discovery, an innovative Process Mining technique, to model healthcare processes in a data-driven manner. Interactive Process Discovery allows the analyst to interactively discover the process model, exploiting his domain knowledge along with the event log. In so doing, a comparative evaluation against the traditional automated discovery techniques is carried out to assess the potential benefits that domain knowledge brings in improving both the quality and the understandability of the process model. The comparison is performed by using a real dataset from an Italian Hospital, in collaboration with the medical staff. Preliminary results show that Interactive Process Discovery allows to obtain an accurate and fully compliant with clinical guidelines process model with respect to the automated discovery techniques. Discovering an accurate and comprehensible process model is an important starting point for subsequent process analysis and improvement steps, especially in complex environments, such as healthcare.
AB - This work aims at investigating the effectiveness and suitability of Interactive Process Discovery, an innovative Process Mining technique, to model healthcare processes in a data-driven manner. Interactive Process Discovery allows the analyst to interactively discover the process model, exploiting his domain knowledge along with the event log. In so doing, a comparative evaluation against the traditional automated discovery techniques is carried out to assess the potential benefits that domain knowledge brings in improving both the quality and the understandability of the process model. The comparison is performed by using a real dataset from an Italian Hospital, in collaboration with the medical staff. Preliminary results show that Interactive Process Discovery allows to obtain an accurate and fully compliant with clinical guidelines process model with respect to the automated discovery techniques. Discovering an accurate and comprehensible process model is an important starting point for subsequent process analysis and improvement steps, especially in complex environments, such as healthcare.
KW - Business process modeling
KW - Healthcare
KW - Interactive Process Discovery
KW - Process Mining
UR - http://www.scopus.com/inward/record.url?scp=85078523718&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-37453-2_41
DO - 10.1007/978-3-030-37453-2_41
M3 - Conference contribution
AN - SCOPUS:85078523718
SN - 9783030374525
T3 - Lecture Notes in Business Information Processing
SP - 508
EP - 519
BT - Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
A2 - Di Francescomarino, Chiara
A2 - Dijkman, Remco
A2 - Zdun, Uwe
PB - Springer Gabler
Y2 - 1 September 2019 through 6 September 2019
ER -