Process mining for clinical workflows: Challenges and current limitations

Studies in Health Technology and Informatics

Volumn 136, Issue , 2008, Pages 229-234

  Lang, Martin ^a,b   Bürkle, Thomas ^a   Laumann, Susanne ^b   Prokosch, Hans Ulrich ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

Clinical Workflows; Evaluation; Process Mining

Indexed keywords

ENTERPRISE RESOURCE MANAGEMENT; DATA MINING;

BUSINESS PROCESS MANAGEMENT; CLINICAL ENVIRONMENTS; EMERGING TECHNOLOGIES; EVALUATION; EVALUATION AND ANALYSIS; PROCESS CONTROLLING; PROCESS MINING; WORK-FLOWS; CLINICAL PROCESS; CURRENT LIMITATION; PROCESS STRUCTURES;

DATA MINING; MEDICAL INFORMATICS;

CONFERENCE PAPER; MINING; PRACTICE GUIDELINE; PROCESS MODEL; WORKFLOW;

EID: 44349173769     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (15)

1. W. van der Aalst, A. Weijters, L. Maruster: Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(6), 1128-1142
2. L. Wen, J. Wang, J. Sun: Detecting Implicit Dependencies between Tasks from Event Logs. APWeb 2006, 591-603
3. A. Weijters, W. van der Aalst, A. de Medeiros: Process Mining with the Heuristics Miner Algorithm, Beta Working Paper, WP166, 2006
4. G. Greco, A. Guzzo, L. Pontieri, D. Sacca: Mining Expressive Process Models by Clustering Workflow Traces, PAKDD, 2004, 52-62
5. G. Greco, A. Guzzo, L. Pontieri, D. Sacca: Discovering Expressive Process Models by Clustering Log Traces, IEEE Transactions on knowledge and data engineering, 2006, 18(8), 1010-1027
6. B. van Dongen, W. van der Aalst: Multi-Phase Process mining: Aggregating Instance Graphs into EPCs and Petri Nets, 2nd PNCWB Workshop at the ICATPN, 2005
7. A. de Medeiros: Genetic Process Mining, PhD Thesis, University of Technology, Eindhoven, 2006
8. W. van der Aalst, V. Rubin, B. van Dongen, E. Kindler, C. Günther: Process Mining: A Two-Step Approach using Transition Systems and Regions, BPMCenter.org, 2006
9. J. Cook, A. Wolf: Automating process discovery through event-data analysis, Proc of the 17th Intl Conference on Software Engineering (ICSE '95), ACM Press, 1995, 73-82
10. R. Agrawal, D. Gunopulos, F. Leymann: Mining Process Models from Workflow Logs, Proc. of the 6th Intl Conference on Extending Database Technology (EDBT '98), Springer-Verlag, 1998, 469-483
11. M. Golani, S. Pinter: Generating a Process Model from a Process Audit Log. BPM'03, 2003, 136-151
12. L. Wen, J. Wang, W. van der Aalst, Z. Wang, J. Sun: A Novel Approach for Process Mining Based on Event Types, IEEE Computer Society, 2007, 00, 721-722
13. A. de Medeiro, W. van der Aalst, A. Weijters: Workflow Mining: Current Status and Future Directions, On The Move to Meaningful Internet Systems, Springer, 2003, 2888, 389-406
14. B. van Dongen, A. de Medeiros, H. Verbeek, A. Weijters, W. van der Aalst: The ProM framework: A new era in process mining tool support, ICATPN, 2005, 444-454
15. M. Lang: Prozess-Mining und Prozessbewertung zur Verbesserung klinischer Workflows im Umfeld bilderzeugender Fächer. PhD Thesis, University Erlangen-Nuremberg, Germany (in submission)