1. A Workflow Approach towards GLIF Execution
Martin Sedlmayr Thomas Rose
Rainer Röhrig Markus Meister

2. About OLGA Project: Online Guideline Assist – OLGA
3 year research project sponsored by the German Research Council DFG
Goal: Measure the effects of automated, integrated guideline support in an ICU
Operational guideline support within the PDMS
Build upon existing technologies
Use an „agile approach“
Measure effect of automated guidelines
Criteria for automating guidelines

3. ICU at University Hospital Giessen

4. Approach Focus on operational system Approach
No preference towards GL methodology
No preference towards workflow technology
No preference towards technical systems
Approach
Look into computerized clinical guideline standards
Look into workflow systems
Look into existing (paper-based) SOPs
Select promising candidates and just start
Guideline Interchange Format GLIF
jBPM Workflow Framework (jBOSS)
Example guidelines
Improve and extend over time

5. Formal Representation
Lifecycle
Reach Consensus
Formal Representation
Execution Support
Automation
Formalization
Evaluation

6. Guideline Editor- GLIF

7. Workflow Patterns – JPDL/jBPM

8. Mapping of GLIF to JPDL GLIF jPDL node action fork branch decision
patient
state
state
join
synchronization

9. Mapping of GLIF to JPDL GLIF jPDL node action fork branch task
decision
decision
patient
state
state
join
synchronization

10. AgilShell by Holger Knublauch
Olga Shell
Process Viewer
Convert guidelines in GLIF
Execute simulations
Run workflows
Edit workflow
Edit guideline
Build HL7 connector
AgilShell by Holger Knublauch

11. System Architecture GLIF Editor GL Editor GL EHR Olga-Shell
Olga-Engine
PDMS DB
Cache
HL7

12. Summary Work in progress Agile, iterative approach
Focus: operational guideline execution within PDMS
Utilization of existing technologies
Workbench: Olga Shell
Formalizing process knowledge
Convert existing guidelines
Simulation and execution
Evaluation of effects of automated guideline support
Starting end of year with tests
1 year daily life evaluation in ICU