Emergency Department Patient Self-Discharge Model and Validation

A Markov chain model for analyzing patient voluntary discharge from emergency departments, developed by Carlo Ricciardi of Federico II University Hospital. The model is validated using a real case study at the 'A. Cardarelli' hospital in Naples. It focuses on patient satisfaction and identifies wait times before being seen and for final reports as key risk periods for self-discharge.

Use Cases

• Modeling patient self-discharge risk based on wait times and satisfaction described in the paper
• Simulating emergency department patient flow using the described behavioral Markov chain
• Adapting transition probabilities to forecast voluntary discharge rates for specific hospital facilities
• Analyzing the impact of process changes on patient satisfaction and retention

Strengths

• Model is validated with a real case study at a specific hospital
• Approach is described as generic and adaptable to other facilities by changing transition probabilities
• Focuses on patient perspective and satisfaction, a key factor in self-discharge

Limitations

• The underlying dataset's row count, column definitions, and file formats are unknown
• Column-level documentation is absent; field semantics must be inferred from the paper
• Data may reflect geographic bias inherent to the single-hospital case study

Provenance

Source

Federico II University Hospital

Collection Method

Modeling and validation described in an academic paper posted on paperswithcode

Geography

Naples, Italy (hospital 'A. Cardarelli')