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Analyzing the Trajectories of Patients
with Sepsis using Process Mining
Felix Mannhardt (TU/e),
Daan Blinde (Blijnder)
The Project: Sepsis Patients in a Regional Hospital
PAGE 1
Sepsis is an inflammation caused by an infection.
• Causes poor organ function,
insufficient blood flow, high blood lactate
• Criteria at least two SIRS criteria due to
a presumed infection:
 Temp >38°C (100.4°F) or < 36°C (96.8°F)
 Heart rate > 90 bpm
 Respiratory rate > 20 breaths/min
 White blood cell count less than 4000 cells/mm³
• Signs fever, increase heart rate, increase
breathing rate, and confusion
The Scope: Sepsis Patient Trajectories
PAGE 2
The Event Log
PAGE 3
Process Discovery – Inductive Miner
PAGE 4
Unsuitable for Communication and Questions
• Incomprehensible for stakeholders:
Why an exclusive choice: IV Antibiotics and ER Sepsis Triage?
• Difficult to answer questions based on that model!
Our Approach
• Iteratively design a suitable process model
• Visualize patient flow with alignment-based
conformance checking techniques
• Enhance the model to answer questions:
• Q1 – Conformance to medical guideline
− Antibiotics within 1 hour
− Lactic acid within 3 hours
• Q2 – Visualize Patient Trajectories
− Admission NC  Admission IC
• Q3 – Analyze Returning Patients
− Return ER within 28 days
PAGE 5
Discovered Data Quality Issue
PAGE 6
IV Antibiotics time stamps entered manually
Typical mistake found several times
14/06/2017 00:05:00  14/06/2017 23:55:00
13/06/2017 23:55:00
Conclusion & Future work
• Scope & Questions
• Emergency room of a regional hospital
• Trajectories of SEPSIS patient:
Conformance, Visualization, and Discovery
• Approach
• Iteratively designed normative process model
• Conformance checking with MPE
• Lessons learned
• Scoping helps to clarify and visualize patient flow
• Medical guidelines can be encoded and checked
• Process discovery returned an unsuitable model
• Data quality issues discovered by process mining
Questions?
PAGE 8
@fmannhardt – f.mannhardt@tue.nl – fmannhardt.de

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Analyzing the Trajectories of Patients with Sepsis using Process Mining

  • 1. Analyzing the Trajectories of Patients with Sepsis using Process Mining Felix Mannhardt (TU/e), Daan Blinde (Blijnder)
  • 2. The Project: Sepsis Patients in a Regional Hospital PAGE 1 Sepsis is an inflammation caused by an infection. • Causes poor organ function, insufficient blood flow, high blood lactate • Criteria at least two SIRS criteria due to a presumed infection:  Temp >38°C (100.4°F) or < 36°C (96.8°F)  Heart rate > 90 bpm  Respiratory rate > 20 breaths/min  White blood cell count less than 4000 cells/mm³ • Signs fever, increase heart rate, increase breathing rate, and confusion
  • 3. The Scope: Sepsis Patient Trajectories PAGE 2
  • 5. Process Discovery – Inductive Miner PAGE 4 Unsuitable for Communication and Questions • Incomprehensible for stakeholders: Why an exclusive choice: IV Antibiotics and ER Sepsis Triage? • Difficult to answer questions based on that model!
  • 6. Our Approach • Iteratively design a suitable process model • Visualize patient flow with alignment-based conformance checking techniques • Enhance the model to answer questions: • Q1 – Conformance to medical guideline − Antibiotics within 1 hour − Lactic acid within 3 hours • Q2 – Visualize Patient Trajectories − Admission NC  Admission IC • Q3 – Analyze Returning Patients − Return ER within 28 days PAGE 5
  • 7. Discovered Data Quality Issue PAGE 6 IV Antibiotics time stamps entered manually Typical mistake found several times 14/06/2017 00:05:00  14/06/2017 23:55:00 13/06/2017 23:55:00
  • 8. Conclusion & Future work • Scope & Questions • Emergency room of a regional hospital • Trajectories of SEPSIS patient: Conformance, Visualization, and Discovery • Approach • Iteratively designed normative process model • Conformance checking with MPE • Lessons learned • Scoping helps to clarify and visualize patient flow • Medical guidelines can be encoded and checked • Process discovery returned an unsuitable model • Data quality issues discovered by process mining
  • 9. Questions? PAGE 8 @fmannhardt – f.mannhardt@tue.nl – fmannhardt.de