Description of processes that allow developing strategies with quality and in an ecient
way is not an easy task. To help the process designers, powerful specification and implementation
tools to standardize general processes, and particularly Clinical Guidelines, are
needed. The use of Workows help design experts in the creation of system execution rules
in the way computer programmers write a program. However, the design problem is not
solved because of the actual mutability of actual processes, what makes dificult to design
experts know which are the current working processes. The use of Pattern Recognition
techniques allows experts learning the control flow inherent to proceses and helps them
knowing what is happening with the processes in reality. This methodology is known as
Workflow Mining.
Clinical Pathways present state changes in their care processes that are triggered by
actions results. Existing Workflow Mining methodologies do not allow inferring this information
because it is not included in their corpora. Complex problems such as the Clinical
Pathways case are not addressed by the current mining systems.
In this work, current Workflow Representation, Interpretation and Learning models
are analyzed. This study intends to propose an adequate model to solve the problems
that prevent Clinical Guidelines designers to access Workflow Mining facilities. For that,
a new methodology for an adequate Clinical Pathways design as well as new tools to allows
the implantation of this methodology are presented. As a result, this document presents:
a new Workflow Mining methodology, a new Workflow representation model with high
expressivity and legibility, a new software tool able to execute and simulate Workflows,
and a new algorithm able to infer Workows from past samples. Those results are focused
on helping in the design Clinical Pathways.
In this work, current Workflow Representation, Interpretation and Learning models
are analyzed. This study intends to propose an adequate model to solve the problems
that prevent Clinical Guidelines designers to access Workflow Mining facilities. For that,
a new methodology for an adequate Clinical Pathways design as well as new tools to allows
the implantation of this methodology are presented. As a result, this document presents:
a new Workflow Mining methodology, a new Workflow representation model with high
expressivity and legibility, a new software tool able to execute and simulate Workflows,
and a new algorithm able to infer Workflows from past samples. Those results are focused
on helping in the design Clinical Pathways.