GP Practice
Millbrook Surgery, Castle Cary
L85040
Registered patients?NHS Digital — Patients Registered at a GP PracticePractice list size as published by NHS Digital (monthly snapshot). Parent rollups sum across all member practices that reported in the latest release.Update cadence: MonthlyOpen source ↗
6,987
NHS Digital list size
Items per patient?NHS Business Services Authority — Practice-level prescribing dataTotal prescribed items ÷ registered patients across the months currently held in the BSA practice-level dispensing CSV (typically the most recent 1–3 months — the dataset is sliced quarterly and our cache reflects the latest sync). Not adjusted for age, deprivation or condition mix. Compare against the same parent type for a like-for-like view.Update cadence: Monthly (BSA release)Open source ↗
1.54
prescribing volume
GPPS overall good?NHS England — GP Patient Survey (GPPS)Patient-list weighted mean of each practice's "overall good experience" %. NHS England's published ICB/national figure is GPPS-sample weighted (not list-size weighted) so small differences are expected.Update cadence: AnnualOpen source ↗
79.0%
patient experience
Limited classification in NHS Digital return
915 appointments were recorded for August 2025 without an appointment mode (Face-to-Face / Phone / Video) or a wait-time band — every record falls into "Unknown" at source. The mode-mix, wait-distribution and same-day cards therefore cannot be displayed for this month.
This is a clinical-system template configuration at the practice (common with older TPP / EMIS setups that don't map appointment categories into the NHS Digital extract). The total volume above is accurate; only the breakdowns are unavailable.
Access KPIs · August 2025?NHS Digital — Appointments in General PracticeLatest published month. Same-day % = appointments booked & attended same day ÷ total. Appts per 1K = ALL booking rows ÷ (list size / 1000) — includes triage encounters, so a triage-first practice scores higher than a same-volume direct-book practice. 28+ day backlog = appts ≥28 days from booking ÷ total. Patient contacts per 1K = (face-to-face + telephone + video) ÷ (list size / 1000) — excludes triage and home visits, isolating the modes the patient actually experiences as care delivery. This is the cleaner demand-per-population comparator.Update cadence: MonthlyOpen source ↗
Appts per 1K patients
131
all bookings (incl. triage)
Patient contacts per 1K
0.0
F2F + phone + video only
Source: NHS Digital appointments dataset (latest published month).
vs National average?Computed in-app from national rollupEach row shows this org's value minus the synthetic NATIONAL rollup (every GP practice in England aggregated using the same methodology). Negative = below national, positive = above. Direction colour-coded ("higher = better" or "lower = better" set per metric).Update cadence: Recomputed nightly
| KPI | This practice | National avg | Δ |
|---|---|---|---|
| Face-to-face % | 0.0% | 58.4% | -58.4% |
| Telephone % | 0.0% | 21.9% | -21.9% |
| Appts per 1K | 131.0 | 479.7 | -348.7 |
| Triage % | 0.0% | 8.7% | -8.7% |
National averages computed across 6,144 GP practices. Green Δ = above national for "higher is better" KPIs; red = the opposite.
Access trend (last 12 months)?NHS Digital — Appointments in General PracticeLast 12 published months. Each series is the monthly rate (Same-day %, F2F %, Phone %, Video %, Triage %) computed on the parent's aggregated appointment counts.Update cadence: MonthlyOpen source ↗
NHS Digital appointments dataset · last 24 months (2023-08 → 2025-08). Click a chip to toggle a series; the y-axis re-zooms to fit.
Total appointments (last 12 months)?NHS Digital — Appointments in General PracticeSum of all booked appointments (attended, did-not-attend and cancelled) across member practices, per month, for the last 12 published months.Update cadence: MonthlyOpen source ↗
Raw appointment count per month, last 24 months. Single-practice count.
Demand — appointments per 1,000 patients (last 12 months)?NHS Digital — Appointments in General PracticeTotal monthly appointments ÷ (registered list size / 1000). Normalises for population size so demand can be compared across orgs of different scale.Update cadence: MonthlyOpen source ↗
Monthly appointments per 1,000 registered patients — list-size-normalised demand. Last 24 months.
Demand pressure?NHS Digital — Appointments in General Practice + WorkforceComposite of same-day + triage appointment volume normalised by GP FTE. Used as a proxy for acute access pressure.Update cadence: MonthlyOpen source ↗
No specific risk factors detected.
Composite score across appointment volume, same-day access and long-wait share over the last 3 months.
6-month trends?NHS Digital — Appointments in General PracticeHeadline access metrics (Same-day %, F2F %, Appts per 1K) over the last 6 published months. Sparkline points are monthly aggregates across member practices.Update cadence: MonthlyOpen source ↗
| KPI | Direction | Slope (rel %) |
|---|---|---|
| Total appointments | → | 0% |
| Face-to-face % | → | 0% |
| Telephone % | → | 0% |
| Same-day % | → | 0% |
| Appts per 1K | → | 0% |
| Triage % | → | 0% |
Linear regression slope over the last 6 months, expressed as a percentage of the trailing average. Up arrows on triage / waits are unfavourable; up arrows on F2F / same-day are favourable.
Trends & anomalies — AI summary?Amazon Bedrock — Nova Lite, generated from this practice's analytics blockA short report-style summary written by Amazon Nova Lite from the practice's detected anomalies, step changes, 6-month trends, latest-month rates and demand-pressure band. The model is instructed to refuse to invent numbers and to call out only signals already present in the underlying tables. Cached at ORG#{ods}/ENRICH#access_narrative; invalidated when a new month of NHS Digital appointments data is published, and soft-stale after 30 days.Update cadence: Regenerated on data change or after 30 days
This month, Millbrook Surgery's total appointments per thousand patients stood at 131, which is slightly above the practice's trailing average. This increase suggests a potential rise in patient demand or improved booking efficiency.
Several trends are worth noting. The total number of appointments in 2025-02 saw a significant increase of over 30% compared to the previous month. This could indicate a shift in patient preferences or operational changes. Additionally, the DNA rate in 2025-07 dipped by 20%, which might reflect better patient engagement or improved appointment scheduling.
To investigate these signals, the practice manager should review the booking system changes implemented in 2025-02 and assess if they correlate with the rise in appointments. Additionally, verifying the factors behind the reduced DNA rate in 2025-07 could provide insights into effective practices that could be further leveraged.
AI-generated from the analytics below (Amazon Nova Lite · data as of August 2025 · written today). The raw anomalies and step-change tables follow below for verification.
Anomalies detected (3)
CQC inspection likelihood?Build It Medical — inspection likelihood modelModel output combining months since last CQC inspection, current rating, complaint signal and known incidents. Bands: High / Medium / Low / Unknown. Not a CQC official figure — an internal triage indicator.Update cadence: Recomputed nightly
- Using CQC review date (2023-07-06) as last assessment. Original inspection date: 2016-05-05.
- Current rating is good, and the latest CQC assessment date is 2023-07-06 (33 months ago).
- Report date falls outside the 2017–2022 focused-assessment window signal.
- Model is directional: 2 supporting signals are currently unavailable.
- CQC focused assessments reference 10 non-clinical quality statements and typically provide at least 5 working days notice.
Modelled likelihood of a CQC inspection in the next 12 months. Combines current rating, time since last inspection, and recent regulatory activity. Not an official CQC indicator.
Patient experience (GPPS)
Prescribing volume?NHS Business Services Authority — Practice-level prescribing dataTotal prescribed items ÷ registered patients across the months currently held in the BSA practice-level dispensing CSV (typically the most recent 1–3 months — the dataset is sliced quarterly and our cache reflects the latest sync). Not adjusted for age, deprivation or condition mix. Compare against the same parent type for a like-for-like view.Update cadence: Monthly (BSA release)Open source ↗
1.54
items per registered patient (latest published period)
Data sources: NHS Digital (patient list, appointments, workforce, QOF, GPPS, screening, prescribing), CQC API. Aggregations refreshed 5/26/2026.