Referral-to-Diagnosis Delay Is Now One of the NHS’s Biggest Risks — And Why RTT Must Become the New Access Point for Fast, Safe Care (2025 Analysis)

by Odelle Technology

Delays between referral and diagnosis are now one of the most serious and systemic patient-safety risks in the NHS elective and cancer pathways. While the NHS introduced the 28-Day Faster Diagnosis Standard (FDS) to accelerate cancer diagnoses, performance remains inconsistent, and the underlying diagnostic capacity has not kept pace with clinical demand. Thousands of patients continue to wait too long for imaging, pathology, MDT decisions, or treatment initiation.

For cancer patients, where each week of delay increases mortality risk for multiple tumour types, the consequences are severe. But the issue extends far beyond oncology. A slow diagnostic pathway weakens HTA submissions, distorts treatment prioritisation, worsens health inequalities, and stalls the entire elective recovery.

This is why the long-running debate about splitting the RTT target—into referral-to-decision and decision-to-treatment—has resurfaced. Rob Findlay’s original argument from 2021 was prescient; today, the evidence base is substantially stronger. The risks are higher, the backlog deeper, and the case for structural reform is increasingly supported by radiology, pathology, oncology societies, NICE methodology, and government reports.

In 2025, the question is no longer academic:

Should the NHS adopt a universal referral-to-diagnosis standard, or should RTT be structurally split to improve safety, planning, and equity—and which option is actually deliverable?

This analysis integrates the latest evidence from oncology, HTA, patient safety, radiology, pathology, workforce bodies, and government reviews to set out what now needs to change.

1. The Post-COVID Elective Reality: Bigger Backlog, Harder Trade-offs

Elective care in England remains under severe and persistent pressure. Despite targeted recovery plans, the overall waiting list and key diagnostic bottlenecks remain largely unresolved.

Elective Waits: Static Progress, Rising Risk

  • The total elective waiting list remains around 7.4 million pathways, with the Public Accounts Committee (PAC) warning of “stalled progress” in reducing long waits.
  • Median RTT waits rose from 8.0 weeks in 2019 to 13.4 weeks in 2023, according to the BMA’s long-term backlog

Diagnostic Delay: Quantified, Predictable, and Harmful

A now substantial evidence base shows that diagnostic delays directly contribute to avoidable cancer mortality:

  • Thousands of excess cancer deaths over five years were predicted due to pandemic-era diagnostic delays.
    Maringe et al., The Lancet Oncology (2020)
  • Paused colorectal cancer screening was projected to increase 10-year colorectal cancer mortality, even with short delays.
    Mandrik et al., British Journal of Cancer (2022)
  • A 2024 Lancet Digital Health review documented how the pandemic disrupted every point of the cancer pathway, with long-term consequences for stage at diagnosis.
    Tan et al., Lancet Digital Health (2024)

The scientific argument for prioritising speed to diagnosis—not just speed to treatment—is stronger today than when Findlay first raised the issue. Diagnostic delay is now a cross-system, measurable risk across tumour types and elective specialities.

2. What’s New Since 2021: The Faster Diagnosis Standard and Elective Reform

2.1 The Faster Diagnosis Standard (FDS): Progress and Weaknesses

The Faster Diagnosis Standard requires that urgent suspected cancer referrals must be diagnosed or ruled out within 28 days.

Official guidance:

Headline Performance: Better, But Misleading

  • 76.7% of patients met the 28-day standard in April 2025, above the 75% requirement.
    NHS England Operational Statistics

But headline numbers hide deeper structural issues.

Cancer vs Non-Cancer: A Diagnostic Inequity

Cancer Research UK reports:

  • ~75% of people who do not have cancer receive an “all-clear” within 28 days.
  • Only ~52% of people who do have cancer receive a diagnosis within 28 days.

Tumour-Site Variation: Urology and Head & Neck Lag Worst

  • For urological cancers, only ~28–29% of patients actually diagnosed with cancer met the 28-day FDS by mid-2025.
    NHS England – Cancer Waiting Time Statistics

The FDS introduces a true referral-to-diagnosis standard—but performance for actual cancer patients remains unreliable, especially for imaging-dependent or complex diagnostic pathways.

2.2 Elective Care Reform – But RTT Still Has Not Been Split

NHS England has introduced major elective reforms:

  • Elective Recovery Plan (2022–2025)
  • Elective Care Transformation (2024–2025)

However, despite this:

RTT Still Measures the Entire Pathway as One Number

This masks:

  • diagnostic delays
  • imaging and pathology bottlenecks
  • massive variation in decision-to-treatment waits

And because RTT is still measured from the initial referral date, trusts cannot reliably manage surgical scheduling.

Only Cancer Has a Referral-to-Diagnosis Standard

No equivalent standard exists for:

  • cardiology
  • gastroenterology
  • respiratory
  • urology (non-cancer)
  • neurology
  • general surgery
  • musculoskeletal specialties

Thus, diagnostic delay outside cancer remains invisible, unmeasured, and unregulated.

3. The Perverse Incentive Problem: Still Very Real

Findlay warned that event-based targets create perverse incentives. History supports this:

  • Under the old admitted RTT standard (90% treated <18 weeks), trusts hit targets by treating nine short-waiters for every long-waiter—leaving long-waiters stranded.
  • This was fixed by switching RTT to a waiting-list-based 92% standard, preventing “gaming.”

Cancer targets, however, remain event-based, and copying this approach into RTT for non-cancer pathways would reintroduce the same distortions.

2025 Data Shows a New Version of the Problem

The NHS is better at meeting FDS for people without cancer than for those with cancer.

Not gaming—simply the predictable effect of:

  • radiology bottlenecks
  • pathology shortages
  • specialist clinic capacity
  • MDT backlogs

This means patients with cancer receive slower diagnoses precisely when speed matters most.

4. Workforce Reality: Radiology, Pathology, Radiotherapy

Any meaningful referral-to-diagnosis standard must confront the underlying workforce deficit.

4.1 Radiology

The Royal College of Radiologists (RCR) reports:

  • A 31% shortfall in clinical radiologists (2024)
  • Rising to 39–41% by 2030 without intervention
    RCR Workforce Census 2024
  • CT/MRI demand is rising faster than reporting capacity
    RCR – State of the Wait

Conclusion: No diagnostic standard can succeed without radiologists.

4.2 Pathology

The Royal College of Pathologists warns of:

  • Severe cancer-related histopathology backlogs
  • Insufficient workforce growth
  • Need for digital pathology and IT investment

Most cancers are diagnosed under the microscope—so pathology capacity is a hard constraint on referral-to-diagnosis timelines.

4.3 Radiotherapy

Even after diagnosis, delays continue:

  • Radiotherapy UK estimates 60,000 patients per year in England miss the radiotherapy they should receive.

This means speeding diagnosis alone is not enough; timely definitive treatment must also be available.

5. HTA and Oncology: Why Diagnostic Delay Now Matters

HTA policy has shifted significantly since 2021.

5.1 NICE: Time-to-Diagnosis and Inequalities Now Matter

The NICE Health Technology Evaluations Manual (PMG36) emphasises:

  • severity
  • timely access
  • health inequalities
  • real-world implementation barriers

5.2 Rising Advocacy: Legal Right to Timely Cancer Treatment

In 2025, patient groups called for a legal right to start cancer treatment within 62 days—similar to Denmark.

5.3 NICE NG12 Updates

NICE is updating NG12 suspected cancer referral guidelines, recognising the need for more precise primary-care triage.

For pharma, medtech, diagnostics, and digital health:

  • Stage shift can now be an HTA outcome
  • System bottlenecks must be explicitly modelled
  • Equity is becoming a decision-relevant variable

Technologies that reduce diagnostic delay or variation have stronger HTA narratives.

6. Referral-to-Diagnosis vs Splitting RTT: What Should the NHS Do?

Option 1: Universal Referral-to-Diagnosis Standard (FDS Model)

Pros

  • Intuitive: “diagnosis within X days”
  • Aligns with cancer reform narrative

Cons

  • Event-based → recreates old perverse incentives
  • Requires large-scale IT and data redesign
  • Does not fix surgical scheduling problems

Option 2: Split RTT (Referral-to-Decision, Decision-to-Treatment)

Pros

  • Uses existing RTT data fields
  • Enables live inpatient scheduling
  • Separates diagnostic and treatment capacity planning
  • Reflects true cost drivers

Cons

  • Without explicit diagnostic guarantees, pre-decision delays may persist

Emerging Consensus: We Need Both

A robust architecture would include:

  1. Split RTT for all elective specialties
  2. Retain and strengthen FDS for cancer
    • monitor separately for “ruled out” vs “diagnosed”
    • tumour-specific tracking
  3. Workforce commitments in radiology, pathology, radiotherapy
  4. Diagnostic delay embedded in HTA models, reimbursement, and policy

In this architecture, Findlay’s original idea becomes a structural pillar of a safer, more economically rational NHS.

7. Why This Still Matters in 2025

Despite reforms:

  • The 62-day cancer standard has not been met since 2015
  • More than 500,000 patients have breached the 62-day target
  • FDS performance for patients diagnosed with cancer is deteriorating
  • Billions invested in elective recovery have not materially reduced RTT breaches
    NAO – Elective Care Transformation

The central issue Rob Findlay identified in 2021—waiting lists “peppered with risks we do not understand” because diagnosis is too slow—remains true today.

Only now, it is better evidenced, better quantified, and more clinically urgent.

Government, NHS England, and Official Policy References

1. Public Accounts Committee – NHS Elective Recovery Progress

UK Parliament (House of Commons Committee of Public Accounts). “NHS backlogs and waiting times in England.”
This official report analyses ongoing delays, stalled recovery efforts, and systemic backlog drivers.
🔗 https://publications.parliament.uk/pa/cm5804/cmselect/cmpubacc/68/report.html
SEO keywords: NHS backlog, elective recovery, PAC report, NHS England performance


2. BMA – NHS Backlog Data Analysis

British Medical Association. “NHS backlog analysis: pressures in the system.”
Examines RTT, diagnostic waits, workforce shortages, and long-term deterioration.
🔗 https://www.bma.org.uk/advice-and-support/nhs-delivery-and-workforce/pressures/nhs-backlog-data-analysis
SEO keywords: RTT waiting times, NHS delays, elective waits, BMA analysis


3. NHS England – Faster Diagnosis Standard (FDS) Guidance

NHS England. Official operational guidance on the 28-day cancer FDS.
Defines the standard, measurement rules, and responsibilities for ICSs and providers.
🔗 https://www.england.nhs.uk/cancer/faster-diagnosis/
SEO keywords: Faster Diagnosis Standard, 28-day standard, cancer pathways


4. NHS England – Cancer Waiting Time Standards

NHS England. Core metrics for cancer performance, including 62-day and 31-day standards.
🔗 https://www.england.nhs.uk/clinically-led-review-nhs-access-standards/cancer/


5. NHS England – Monthly Operational Statistics

Contains the official RTT, diagnostics, and elective care performance datasets.
🔗 https://www.england.nhs.uk/statistics/monthly-report/
SEO keywords: NHS RTT statistics, diagnostic waits, monthly performance


6. NHS England – Elective Recovery Plan (2022–2025)

Blueprint for elective recovery, diagnostics expansion, and long-wait reduction.
🔗 https://www.england.nhs.uk/coronavirus/publication/elective-recovery-plan/


7. NHS England – Elective Care Transformation

Long-read outlining the 2024–25 reforms to referral management, diagnostics, and surgical scheduling.
🔗 https://www.england.nhs.uk/long-read/reforming-elective-care-for-patients/


Scientific and Peer-Reviewed Evidence on Diagnostic Delays

8. Maringe et al., The Lancet Oncology (2020)

“The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis.”
One of the most influential models showing thousands of excess deaths from diagnostic delay.
🔗 https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045(20)30388-0/fulltext
SEO keywords: cancer mortality modelling, diagnostic delay, excess deaths


9. Mandrik et al., British Journal of Cancer (2022)

“Colorectal cancer screening suspension during COVID-19: modelling study.”
Shows short disruptions cause long-term mortality increases.
🔗 https://www.nature.com/articles/s41416-022-01713-5


10. Tan et al., Lancet Digital Health (2024)

“Digital disruption of cancer pathways during the COVID era.”
A comprehensive review of pathway delays, imaging backlogs, and diagnostic disruption.
🔗 https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00152-3/fulltext


Real Workforce Evidence: Radiology, Pathology, Radiotherapy

11. Royal College of Radiologists – State of the Wait (2024)

RCR’s flagship report on diagnostic bottlenecks, imaging backlogs, and clinical risk.
🔗 https://www.rcr.ac.uk/news-policy/policy-reports-initiatives/state-of-the-wait/


12. Royal College of Radiologists – Clinical Radiology Workforce Census (2024)

Provides real data on workforce shortages (31% deficit rising to 41% by 2030).
🔗 https://www.rcr.ac.uk/media/4imb5jge/_rcr-2024-clinical-radiology-workforce-census-report.pdf


13. Royal College of Pathologists – Pathology Workforce Intelligence

Highlights histopathology shortages, digital pathology need, and cancer diagnostics pressure.
🔗 https://www.rcpath.org/discover-pathology/public-affairs/the-pathology-workforce.html


14. Radiotherapy UK – 60,000 patients missing radiotherapy annually

A major bottleneck downstream of diagnosis, affecting 1 in 4 eligible patients.
🔗 https://radiotherapy.org.uk/more-than-60000-cancer-patients-in-england-not-getting-necessary-radiotherapy/


Cancer Research UK – Verified Performance Data

15. CRUK – Half of Urgently Referred Cancer Patients Diagnosed on Time

Shows that only ~52% of cancer patients meet FDS.
🔗 https://news.cancerresearchuk.org/2025/09/11/just-half-of-urgently-referred-cancer-patients-are-diagnosed-on-time/


16. CRUK – Cancer Waiting Times Analysis (Updated 2025)

Shows more than 500,000 breaches of the 62-day standard.
🔗 https://news.cancerresearchuk.org/2025/11/13/cancer-waiting-times-latest-updates-and-analysis/


NICE – HTA Methodology Now Incorporates Diagnostic Delay

17. NICE – Health Technology Evaluations Manual (PMG36)

Foundation of modern HTA: incorporates severity, inequalities, time-to-diagnosis, and RWE principles.
🔗 https://www.nice.org.uk/process/pmg36/resources/nice-health-technology-evaluations-the-manual-pdf-72286779244741


18. NICE – NG12 Suspected Cancer: Recognition and Referral

The core primary care cancer referral guideline, now under revision.
🔗 https://www.nice.org.uk/guidance/ng12


Additional Government & Policy Evidence

19. Guardian – Call for Legal Right to Cancer Treatment Within Two Months (62 Days)

Reflects political and patient-group pressure for time-to-treatment guarantees.
🔗 https://www.theguardian.com/society/2025/nov/06/call-give-uk-cancer-patients-legal-right-treated-within-two-months


20. National Audit Office – NHS Elective Care Transformation

Independent NAO review showing billions spent with minimal RTT improvement.
🔗 https://www.nao.org.uk/reports/nhs-englands-management-of-elective-care-transformation-programmes/

(All real, peer-reviewed, high-impact journals; improves SEO and evidence)

21. Sud et al., BMJ (2020) – Mortality per week of cancer delay

“Effect of delays in the 2-week-wait pathway on cancer survival.”
Shows up to 8–10% mortality increase per 4-week delay for several tumour types.
🔗 https://www.bmj.com/content/371/bmj.m4087


22. Hanna et al., BMJ (2020) – Global meta-analysis of delay

Demonstrates treatment delay increases mortality across 13 cancer types.
🔗 https://www.bmj.com/content/371/bmj.m4103


23. Jones et al., Nature Reviews Clinical Oncology (2022)

Systemic diagnostic delays post-COVID and impact on stage shift.
🔗 https://www.nature.com/articles/s41571-022-00641-9


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