LEAP PRIDE: Synthetic Patient Pathways for Palliative Care Resource Planning

A 20.9 KB synthetic dataset representing twelve-month service trajectories for ten patient types across two care pathways. The data supports a proof-of-concept optimisation framework for strategic resource planning in end-of-life care, created by Elizabeth Williams and last updated in April 2026. It models resource allocation across hospital beds, palliative beds, community nursing, and virtual wards.

Use Cases

• Testing optimisation models for healthcare resource allocation based on patient type and care pathway variables.
• Comparing cost-minimisation versus capacity-alignment strategies for service planning based on the described model formulations.
• Simulating demand patterns and resource utilisation in the final year of life based on the described patient trajectories.
• Analyzing trade-offs between hospital-oriented and community-oriented care pathways based on the Mode variable.

Strengths

• Data is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• The dataset is structured to represent ten distinct patient types and two primary care pathways.
• The description provides clear variable clarification for Patient Type and Mode.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is synthetic (20.9 KB), representing plausible but not real patient trajectories.

Provenance

Source

figshare, author Elizabeth Williams.

Collection Method

Synthetically generated for a proof-of-concept optimisation model.

Time Range

Represents a plausible twelve-month period.

Freshness

Last updated 2026-04-09 10:36:27

Geography

null