Patient Demographics and Clinical Acuity for Virtual Ward Admissions, 2023-2025

2,533 admissions to virtual wards in Bristol, North Somerset and South Gloucestershire between October 2023 and February 2025. This retrospective observational cohort study, authored by Lauren J. Scott, includes clinical observations and National Early Warning Scores (NEWS2) for remotely monitored patients aged 16 and over. The dataset analyzes care pathways, length of stay, and hospital readmission outcomes.

Use Cases

• Predicting hospital readmission risk based on NEWS2 scores and patient pathways mentioned in the description
• Analyzing the distribution of clinical acuity across different care pathways such as respiratory and frailty
• Modeling virtual ward length of stay and patient outcomes for service planning
• Benchmarking virtual ward patient acuity against hospital admission data

Strengths

• Includes 2,533 admissions with detailed clinical acuity scoring (NEWS2)
• Covers a defined time range from October 2023 to February 2025
• Reports specific outcomes: 7% hospital readmission rate and less than 1% mortality
• Data is licensed for open use under CC-BY-4.0

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is limited to a single UK region (Bristol, North Somerset and South Gloucestershire)

Provenance

Source

figshare, authored by Lauren J. Scott

Collection Method

Retrospective observational cohort study of all remotely monitored patients admitted to virtual wards.

Time Range

October 2023 to February 2025

Freshness

Last updated 2026-04-28 17:34:20; freshness should be verified

Geography

Bristol, North Somerset and South Gloucestershire (BNSSG), UK