Dr Foster is a digital health platform that brings hospital performance data and clinician insights into a single searchable interface. Families and professionals use it to track how well local services are performing and to understand variations in patient outcomes.
By combining hospital episode statistics, waiting times, and quality indicators, the platform supports more transparent conversations between patients, families, and healthcare providers.
| Metric | Description | Typical Range | Use Case |
|---|---|---|---|
| Hospital Bed Occupancy | Share of inpatient beds occupied at a given time | 70–90% | Capacity planning and emergency flow assessment |
| Average A&E Waiting Time | Median minutes from arrival to being seen | 30–120 minutes | Service speed benchmarking |
| 30-Day Readmission Rate | Percentage of discharges readmitted within 30 days | 5–15% | Care continuity and quality indicator |
| Clinician-Reported Outcome Measure | Standardised score on patient-reported experience or health status | 0–100 scale | Comparing hospitals and specialties |
How NHS Hospital Performance Is Measured
Key Indicators Used by Dr Foster
Dr Foster relies on routinely collected hospital data, including emergency admissions, elective surgery throughput, and bed occupancy. These indicators are standardised for age, deprivation, and hospital size, making comparisons fairer across regions.
Quality metrics such as infection rates, avoidable readmissions, and patient experience surveys are also incorporated to reflect safety and experience alongside efficiency.
Interpreting Hospital League Tables
Statistical Reliability and Small Sample Effects
League tables generated by Dr Foster highlight variation between hospitals, but users should consider statistical uncertainty, especially for smaller specialties. Not all differences are meaningful, and clinical context always matters.
For reliable insights, the platform usually shows results only when a sufficient volume of cases has been reached to reduce random fluctuation.
Using Data for Service Planning
What Managers and Clinicians Look For
Health system leaders use Dr Foster analytics to identify bottlenecks in emergency departments, elective pathways, and rehabilitation services. Benchmarking against similar trusts supports targeted improvement projects.
Frontline teams may use the data to review referral patterns, staffing models, and patient flow decisions.
How Patients and Families Can Use the Information
Choosing a Hospital and Understanding Wait Times
Patients reviewing Dr Foster data can compare average waiting times, bed occupancy trends, and reported outcomes for nearby hospitals. This helps set realistic expectations about access and scheduling.
However, individual clinical needs and local specialist services should remain the primary drivers of choice, with performance data as a supporting factor.
Key Takeaways for Users
- Dr Foster helps you see how hospitals perform on waiting times, occupancy, and quality indicators.
- Use data alongside clinical advice when choosing services for you or your family.
- Understand that small differences may not be statistically meaningful, especially in smaller specialties.
- Check updates regularly, as the platform refreshes figures on a monthly or quarterly basis.
- Combine performance data with local pathway information and patient experience reviews.
FAQ
Reader questions
Is the data updated in real time on Dr Foster?
No, the data is based on routine hospital returns and is refreshed monthly or quarterly rather than in real time.
Can I compare mental health services using Dr Foster?
Yes, many mental health trusts are included, though the range of indicators may be narrower than for acute hospital services.
Should I use Dr Foster to pick the best hospital for surgery?
You can compare waiting times and outcome indicators, but always discuss clinical risks and suitability with your specialist.
Why do some hospitals appear missing from the Dr Foster data?
Certain specialist or smaller hospitals may not be displayed if case volume is too low to ensure reliable comparison.