Active-Workspaces: A Dynamic Collaborative Business Process Model for Disease Surveillance Systems

Flexibility and change at both design-and run-time are fast becoming the Rule rather than the Exception in disease surveillance processes. This is attributed to the diversity in public health threats, to continuous advances in domain knowledge, the increase in expert knowledge, and the diverse and heterogeneous nature of contextual variables. Disease surveillance is one such processes and it is characterized by collaborative work and decision making between users with heterogeneous profiles on processes designed on-the-fly. A model for disease surveillance processes should thus natively support flexible workflow design and enactment as well as human interactions. We show in this paper how the Active Workspaces model proposed by Badouel et al. for distributed collaborative systems provides this support.

[1]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[2]  A. Lindberg,et al.  Surveillance systems evaluation: a systematic review of the existing approaches , 2015, BMC Public Health.

[3]  Claudio Di Ciccio,et al.  Knowledge-intensive Processes: An Overview of Contemporary Approaches , 2012, KiBP@KR.

[4]  Shaun J. Grannis,et al.  Towards public health decision support: a systematic review of bidirectional communication approaches , 2013, J. Am. Medical Informatics Assoc..

[5]  Constantin F. Aliferis,et al.  Studies in Health Technology and Informatics , 2007 .

[6]  Liliane Pellegrin,et al.  Collaborative Activities During an Outbreak Early Warning Assisted by a Decision-Supported System (ASTER) , 2010, Int. J. Hum. Comput. Interact..

[7]  Eric Badouel,et al.  Active workspaces: distributed collaborative systems based on guarded attribute grammars , 2015, SIAP.

[8]  Jianwen Su,et al.  Towards Formal Analysis of Artifact-Centric Business Process Models , 2007, BPM.

[9]  William B. Lober,et al.  Infectious Disease Informatics and Biosurveillance , 2012 .

[10]  Wil M. P. van der Aalst,et al.  Workflow Support Using Proclets: Divide, Interact, and Conquer , 2009, IEEE Data Eng. Bull..

[11]  Zaruhi R. Mnatsakanyan,et al.  Decision Support Models for Public Health Informatics , 2008 .

[12]  John K. Iskander,et al.  Concepts and Methods in Infectious Disease Surveillance , 2014 .

[13]  Wil M. P. van der Aalst,et al.  Formalization and verification of event-driven process chains , 1999, Inf. Softw. Technol..

[14]  Richard Hull,et al.  Declarative business artifact centric modeling of decision and knowledge intensive business processes , 2011, 2011 IEEE 15th International Enterprise Distributed Object Computing Conference.

[15]  W. M. P. V. D. Aalsta,et al.  YAWL : yet another workflow language , 2015 .

[16]  Wil M. P. van der Aalst,et al.  The Application of Petri Nets to Workflow Management , 1998, J. Circuits Syst. Comput..

[17]  Y. Buisson,et al.  From outbreak detection to anticipation De la détection à l ’ anticipation des épidémies , 2010 .

[18]  W. Yasnoff,et al.  Public health informatics: improving and transforming public health in the information age. , 2000, Journal of public health management and practice : JPHMP.

[19]  W.M.P. van der Aalst,et al.  Business Process Management: A Comprehensive Survey , 2013 .

[20]  Claudio Di Ciccio,et al.  Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches , 2015, Journal on Data Semantics.

[21]  Michael M. Wagner,et al.  Case Detection, Outbreak Detection, and Outbreak Characterization , 2006, Handbook of Biosurveillance.

[22]  Massimo Mecella,et al.  SmartPM: An Adaptive Process Management System through Situation Calculus, IndiGolog, and Classical Planning , 2014, KR.

[23]  Liliane Pellegrin,et al.  Web Services Based Syndromic Surveillance for Early Warning within French Forces , 2006, MIE.

[24]  Richard Hull,et al.  Introducing the Guard-Stage-Milestone Approach for Specifying Business Entity Lifecycles , 2010, WS-FM.

[25]  Atsa Etoundi Roger,et al.  A Formal Framework for Business Process Modeling , 2011 .

[26]  Vera Künzle,et al.  PHILharmonicFlows: towards a framework for object-aware process management , 2011, J. Softw. Maintenance Res. Pract..

[27]  H P Lehmann,et al.  Public Health and Epidemiology Informatics: Recent Research and Trends in the United States , 2015, Yearbook of Medical Informatics.

[28]  Richard Hull,et al.  Business artifacts with guard-stage-milestone lifecycles: managing artifact interactions with conditions and events , 2011, DEBS '11.

[29]  Richard Hull,et al.  Business Artifacts: A Data-centric Approach to Modeling Business Operations and Processes , 2009, IEEE Data Eng. Bull..