See where resource may be leaking, then open the mechanism only when you need the detail.

Ordering can be digitally efficient without confirming that every item is still needed. Excess stock, dose changes, discontinuations and intermittent-use medicines can remain on repeat lists.

Prescription requests, prescribing records, dispensing data and electronic repeat dispensing already exist at national and local level.

There is no national closed-loop measure showing what proportion of repeat items were actually needed at the point of supply, how much stock remained at home, or what was later discarded.

Add a lightweight stock-and-need check before selected repeat requests, prioritising high-cost, high-volume and commonly returned medicines. Escalate uncertainty to a pharmacist rather than stopping autonomously.

Avoided items and net ingredient cost, pharmacist review rate, patient safety events, re-request rate within 30 days.

Clinical slots are reserved but produce no patient contact. Causes include forgetting, late arrival, communication failures and appointments that are no longer required.

Appointment status, booking channel, reminder channel, lead time and practice-level DNA rates are already captured in operational systems.

The NHS does not routinely publish the avoidable fraction by cause, whether released slots were backfilled, or the staff-time and downstream consequences of each DNA.

Risk-stratified reminders, one-tap cancellation, automatic wait-list backfill and targeted support for patients with repeated DNAs or known access barriers.

DNA rate, percentage of cancelled slots refilled, minutes of capacity recovered, inequality impact and patient complaints.

Specialist time and diagnostic capacity are booked but unused. Long booking lead times, poor communication, transport, work and caring constraints can all contribute.

Hospital scheduling systems record booked, attended, cancelled and DNA activity. NHS England already promotes two-way communication and validation.

Trust-level reasons, refill success, financial impact and whether a missed appointment created another downstream contact are not consistently visible nationally.

Two-way confirmation, predictive DNA risk, short-notice waiting lists and pathway validation before appointments are consumed.

DNA reduction, slots backfilled, waiting-list days avoided and specialty-level cost per recovered appointment.

A bed that cannot turn over blocks admissions and elective flow even when acute treatment has finished. Delays can sit outside the hospital in social care, transport, equipment, housing or community capacity.

Discharge-ready dates, length of stay, bed occupancy and Better Care Fund discharge metrics are available.

A single cross-system causal record showing exactly which dependency blocked each day of delay, the owner of that dependency and the cost of the blocked bed day.

Create a daily dependency ledger for every delayed discharge, with owner, blocker, elapsed time, next action and escalation threshold across NHS and local authority partners.

Bed days beyond discharge-ready date, median blocker duration, repeat blocker categories, admissions released and readmission rate.

Vacancies, rota gaps, sickness, poor roster design and short-notice demand can force providers to buy labour at premium rates.

Roster fill, vacancy, sickness, bank and agency spend are routinely held by providers.

The avoidable share of each agency shift, its initiating cause and whether an earlier roster or recruitment intervention could have prevented premium purchase.

Root-cause every premium shift: vacancy, sickness, late roster, demand spike, skill mix or establishment mismatch. Rank recurring preventable causes by cost.

Agency hours avoided, premium-to-substantive cost differential, rota fill lead time and patient-safety balance measures.

Late starts, early finishes, cancellations, turnaround delays, staffing gaps and list design can leave expensive theatre capacity idle.

Providers already hold list start/finish, case duration, turnaround, cancellation and utilisation data; Model Health System supports benchmarking.

A standard causal attribution for every unused theatre minute and a consistent estimate of how much of that time is genuinely recoverable.

Classify every unused theatre block by root cause and feed recurrent causes into list planning, staffing and pre-op readiness workflows.

Utilised minutes, late-start minutes, avoidable cancellations, turnaround time, cases per list and overtime created.

Local preparation, ward preparation, bespoke doses and avoidable IV routes can consume scarce pharmacy, nursing, chair and bed capacity.

Production volumes, batch data, product cost, staffing and administration activity exist locally, with national strategic reviews available.

True cost per administered dose, prepared-but-unused dose rate, avoidable IV activity and the opportunity cost of occupied aseptic slots are rarely brought together.

Measure every dose from order to administration, including labour, cleanroom time, waste and setting. Compare local manufacture, hub, commercial ready-to-administer and alternative-route options.

Cost per administered dose, unused prepared doses, aseptic minutes released, nursing minutes released and treatment-chair capacity released.

Letters, SMS and fragmented communication channels can create direct cost and failed-contact risk when digital alternatives are available.

Message volumes, channel type, NHS App adoption and delivery status are already measurable.

Provider-level cost per successful patient contact and the fraction of paid messages that could safely move to lower-cost channels.

Measure cost per successful contact by channel and shift suitable traffic to NHS Notify/App while retaining non-digital routes for inclusion and safety.

Cost per delivered message, failed-contact rate, digital exclusion rate and downstream DNA impact.