Resource

The State of Patient Scheduling

Missed appointments, waiting lists, and referral admin are quietly draining capacity from health systems across Ireland and the UK. This is a plain-language overview of the numbers, drawn from public sources, with every figure attributed or clearly labelled illustrative.

Last updated: July 2026 · Compiled by Neutropy

The numbers at a glance

Two problems dominate the scheduling picture on both sides of the Irish Sea: patients who never make it to an appointment that was booked for them (a "DNA", or did-not-attend), and patients waiting a long time to be seen at all. Behind both sits a mountain of manual admin — reading referrals, phoning patients, and chasing availability.

7.6m

Elective pathways waiting in England

Patients on the NHS referral-to-treatment (RTT) waiting list — one of the highest levels on record.

Source: NHS England RTT, 2024
500k+

People on Irish hospital waiting lists

Combined inpatient/day-case and outpatient waiting lists published for Ireland's public hospitals.

Source: NTPF, 2024
5–10%

Outpatient appointments missed

A typical DNA rate cited across outpatient services. Rates vary widely by specialty, deprivation, and reminder practice.

Illustrative: range across services
€263m

Irish digital-health commitment

Funding earmarked to modernise Ireland's digital health infrastructure, including eReferral.

Source: HSE / Dept. of Health, 2024
Top 5

Irish health spend per capita, OECD

Ireland is among the highest health spenders per person in the OECD — capacity, not funding alone, is the constraint.

Source: OECD Health at a Glance, 2023
~15min

Admin per referral, by hand

Indicative time to triage one referral and reach the patient by phone across repeated call attempts.

Illustrative: per-referral estimate

Missed appointments (DNAs)

Every missed appointment is a wasted clinic slot that another waiting patient could have used. NHS England has repeatedly highlighted the scale of missed hospital outpatient appointments across a year, and the knock-on cost in lost clinical time. The single biggest lever on the DNA rate is contact: patients who are reminded, and who can easily reschedule, show up more often.

DNA rates are not uniform. They run higher in some specialties, in more deprived areas, and where the only way to change an appointment is to sit in a phone queue during working hours. That last point matters, because it is the part that automation can fix without any change to clinical practice.

Illustrative DNA rate by contact method

Directional comparison of how reminder and rebooking channels tend to affect attendance. Shown to illustrate the mechanism, not as measured results.

No reminderIllustrative range~10%SMS reminderIllustrative range~7%Reminder + easy rebookIllustrative range~4%

Illustrative did-not-attend rate (%). Real rates vary by service and population.

The practical takeaway: a large share of DNAs are preventable with better outreach, not more clinicians. See how we approach this in reduce missed appointments.

Waiting lists

Ireland and England publish their waiting lists differently, so the headline totals are not directly comparable — but both are large and both have grown. In England, NHS England's referral-to-treatment statistics track elective pathways; in Ireland, the National Treatment Purchase Fund (NTPF) publishes separate inpatient/day-case and outpatient lists.

A meaningful slice of any waiting list is out of date: patients who have moved, been treated elsewhere, or no longer need the appointment. Validating the list — simply contacting people to confirm they still want to be seen — routinely removes a portion of it, which is faster and cheaper than adding capacity.

People waiting: England vs Ireland (published lists)

Headline totals as published by each system. Measured differently, so treat as scale, not a like-for-like comparison.

NHS England (RTT pathways)~7.6mIreland (NTPF, combined)500k+

Approximate number of people / pathways on published waiting lists. See sources below.

Cleaning and confirming a list before adding capacity is one of the highest-return jobs in scheduling. More on that in referral management.

The referral admin burden

Between a referral arriving and a patient being booked sits a long chain of manual steps: opening the referral, triaging it against the right consultant's rules, finding a slot, phoning the patient, phoning again when they do not answer, rescheduling, and confirming. Ireland is modernising this with eReferral and a national digital-health investment, but the last mile — actually reaching the patient — is still overwhelmingly done by hand.

01

Referral arrives

A GP referral lands in the inbox and waits to be triaged and actioned.

02

Patient is called

Staff phone the patient, often several times, to offer and confirm a slot.

03

Booked into the PMS

The confirmed appointment is entered into the practice management system.

What the numbers point to

The scheduling problem is not mainly a clinical one — it is a coordination one. Fewer DNAs, cleaner waiting lists, and faster referral turnaround all come from the same thing: reliably reaching patients and acting on referrals without burning scarce staff time. That is exactly the work Neutropy's AI employees take on.

Methodology & sources

Figures on this page are drawn from public bodies and are labelled one of two ways: Source means the number is attributed to a named public source and year; Illustrative means it is a directional range or estimate used to explain a mechanism, not a measured statistic. Public waiting-list and DNA figures are revised regularly, so we link the primary publications below — always check them for the latest values before quoting.

This page is maintained by Neutropy, a Dublin-based company building AI employees for patient scheduling. Corrections and better sources are welcome — email luke@neutropy.ai.