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Related Experiment Videos

From chart tracking to workflow management

P Srinivasan1, G Vignes, C Venable

  • 1Computer Science Department, University of Southwestern Louisiana, Lafayette 70504.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
Summary
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Organizations can improve system integration and change management by understanding current structures. A workflow management system using Parameterized Petri Nets (PPN) models aids in simulation and planning for digital transformation.

Area of Science:

  • Health Informatics
  • Systems Engineering
  • Organizational Management

Background:

  • Organizations assume digitization and common standards improve information accessibility and productivity.
  • Effective organizational change capacity is linked to personnel's understanding of current structures.

Purpose of the Study:

  • To introduce a workflow management system that enhances organizational understanding and facilitates change.
  • To provide a tool for planning and evaluating the transition from paper-based to computer-based health information systems.

Main Methods:

  • Development of a workflow manager based on Parameterized Petri Net (PPN) models.
  • Animation and analysis of PPN models to simulate organizational processes.
  • Incorporation of modeling, scheduling, reactive planning, performance evaluation, and simulation.

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Main Results:

  • The PPN model can represent organizations in detail and be animated for observation.
  • Simulation allows for "what if" scenario exploration to identify change opportunities.
  • The workflow management system effectively supports paper chart tracking and the transition to electronic health records.

Conclusions:

  • A deep understanding of organizational structure is crucial for successful system integration and change.
  • Parameterized Petri Net models offer a powerful tool for simulating and analyzing organizational workflows.
  • The proposed workflow management system is a robust solution for managing current systems and planning future digital transformations in healthcare.