ClinicalTrials.gg
RecruitingNCT07391280SEARCH-EDUpdated Jun 1, 2026

Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department

An interventional study of Harrison.ai Chest X-Ray Solution in Cancer, Cardiovascular and Respiratory, sponsored by NHS Greater Glasgow and Clyde. Recruiting at 1 site in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-01.

Sponsored by NHS Greater Glasgow and Clyde · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Started May 2026; still recruiting 5 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
17,000
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study summary

SEARCH-ED is a research study which is running in Emergency Department (ED) of the Queen Elizabeth University Hospital. The aim of the study is to find out if using a computer programme can help doctors diagnose heart and lung problems from chest x-rays.

We want to compare how many people are diagnosed with heart or lung problems for the first time when doctors have access to the computer programme results, in comparison to when they don't.

Read the detailed description

SEARCH-ED is a research study which is running in Emergency Department (ED) of the Queen Elizabeth University Hospital.

The aim of the study is to find out if using an artificial intelligence (AI) computer programme can help doctors diagnose heart and lung problems from chest x-rays. The computer programme is made by Harrison.ai. It is approved for use in the United Kingdom (UK), United States of America (US) and the European Union (EU). Studies have been carried out previously to make sure it is safe to use and that it can detect signs of heart and lung problems.

Many people who come to ED have a chest x-ray. Chest x-rays can show signs of heart or lung problems, which might be causing a patient's symptoms. All doctors can interpret chest x-rays. However, doctors who specialise in interpreting scans (radiologists) also provide an expert report for chest x-rays, describing what they have found. It can take a long time for chest x-ray reports to come back. Sometimes, doctors might miss signs of heart or lung problems.

We want to see if using a computer programme to help doctors interpret chest x-rays could lead to more patients getting an accurate diagnosis. We want to compare how many people are diagnosed with heart or lung problems (Chronic obstructive pulmonary disease [COPD], heart failure or lung cancer) for the first time when doctors have access to the computer programme results, in comparison to when they don't.

Patients older than 18 who have a chest x-ray in ED will be included.

Patients with chest x-rays flagged by the computer programme for heart failure or COPD will be invited to an outpatient clinic for further assessment post-discharge, providing they have not been referred for testing or had testing previously.

All patients with chest x-rays flagged for lung cancer will be reviewed and acted on by the study radiologist.

The study consists of 1) a retrospective component; 2) a prospective live trial; 3) a qualitative evaluation of acceptability to patients and clinicians, and 4) a health economic analysis.

02

Conditions studied

  • Cancer
  • Cardiovascular
  • Respiratory

Keywords

  • Artificial Intelligence
  • Chest X-Ray
  • Lung Cancer
  • Heart Failure
  • COPD
03

In context

Neoplasms

10,818 studies on the registry are indexed under Neoplasms; 2,324 are open to participants now.

This study's planned enrollment of 17,000 is above the median of 60 across 7,703 interventional studies indexed under Neoplasms.

Browse Neoplasms studies →

Lead sponsor

NHS Greater Glasgow and Clyde is the lead sponsor of 220 studies on the registry; 39 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Unconsented Use of Harrison CXR Algorithm in Emergency Department (ED):

  • Frontal Chest X-Ray (CXR) (AP or PA) acquired in the Queen Elizabeth University Hospital (QEUH) ED
  • Patients aged 18 or over
  • Appropriate meta data (DICOM) to allow for Harrison CXR processing and secondary capture report provision.

Patient Focus Groups:

  • Aged 18 or over
  • Able to provide written, in English.

Clinician Focus Groups:

  • Aged 18 or over
  • Able to provide written, informed consent in English.
  • Working as a doctor, advanced nurse practitioner or advanced clinical practitioner in ED, radiology or downstream medical specialties
  • For post-implementation focus groups only, must have at least 4 months experience of working with Harrison CXR algorithm.

Diagnostic Clinic:

  • Patients without terminal illness or advanced frailty
  • Usual healthcare provider based in NHS GGC

Exclusion criteria

Exclusion Criteria:

Applies to use of unconsented CXRs:

- Patient has requested that they are removed from the study, or has objected to the use of AI in their routine clinical care and this has been subsequently upheld by the health board.

Applies to invitation to combined diagnostic clinic:

  • Patients not available to follow up, including patients i.e. whose the patient's usual care (or onward care following index admission) is out-with NHS GGC.
  • Patients who have been referred to palliative care for end-stage disease, or patients with severe frailty (i.e. bedbound) will not be invited to the combined diagnostic clinic

For Patient and Clinician Focus Groups:

  • Unable to provide informed written consent in English
  • Aged \<18
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
Single (Care provider)
Enrollment
17,000 participants (estimated)

Study arms

  • Experimental
    Harrison CXR 'ON' Block

    Chest X-ray AI results will be available to the treating clinician

    Device: Harrison.ai Chest X-Ray Solution

  • Active comparator
    Harrison CXR 'OFF' Block

    Chest X-ray AI results will not be available to the treating clinician

    Device: Harrison.ai Chest X-Ray Solution

Interventions

  • DeviceHarrison.ai Chest X-Ray Solution

    The Harrison.ai CXR module is an AI-driven clinical decision support tool that is designed to augment clinical interpretation of CXRs. It is a Class IIb CE-marked device which is able to detect up to 124 findings on a CXR.

06

What researchers measure

Primary outcomes

  1. Proportion of patients identified with a confirmed new diagnosis of heart failure, based on subsequent clinical assessment and guideline-based investigation.

    Time frame: 12 months

Secondary outcomes

  1. Duration of admission during index hospitalisation

    Time frame: 12 months

  2. Time to initiation of guideline-based, long-term therapy for Chronic obstructive pulmonary disease (COPD) and Heart Failure.

    For Chronic obstructive pulmonary disease (COPD), this will be defined as first prescription of combined long acting beta agonist (LABA)/long acting muscarinic antagonist (LAMA) inhaler or LABA/LAMA/inhaled corticosteroid (single or split) inhaler therapy. For Heart Failure , this will be defined as first prescription of either a) a renin-angiotensin system inhibitors, b) a beta blocker, or c) an SLGT2 inhibitor.

    Time frame: 12 months

  3. Time to diagnostic testing for Heart Failure, COPD and lung cancer (echocardiography, spirometry, CT).

    Time frame: 12 months

  4. Time to inpatient or outpatient specialist review and confirmation of lung cancer, COPD or Heart Failure

    Time frame: 12 months

  5. Acceptability of AI-supported interpretation of Chest X-Ray for Emergency Department clinicians pre and post intervention using Theoretical Framework of Acceptability (TFA)

    We will ask clinicians what they think of using AI for Chest X-Rays

    Time frame: Baseline and 12 months

  6. Readmission rate within 90 days

    Time frame: 3 months

  7. Proportion of patients with new diagnosis of lung cancer detected by an AI-Chest X-Ray algorithm

    Time frame: 12 months

  8. Proportion of patients with new diagnosis of COPD detected by an AI-Chest X-Ray algorithm

    Time frame: 12 months

  9. Proportion of patients with clinically-confirmed known diagnosis of lung cancer, Heart Failure and COPD detected by an AI-Chest X-Ray algorithm

    Time frame: 12 months

  10. Percentage of Chest X-Rays not identified by an AI-CXR algorithm that have a subsequent diagnosis of Heart Failure, COPD or lung cancer within 6 months of index imaging (Emergency Department Chest X-Ray).

    Time frame: 6 months

  11. Statistical analysis of model performance e.g. sensitivity, specificity, positive and negative predictive value

    Time frame: 12 months

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: Yes — The dataset will be available in NHS GGC Safe Haven whereby pseudonymised access can be granted through NHS GGC LPAC approvals, as per local GGC policy.

Supporting information: Study protocol, Clinical study report

Time frame: After publication of results

Access criteria: Bone fide collaboration request

Data sharing details ↗ · www.gla.ac.uk

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started May 2026 (actual). Primary completion is estimated for Jun 2027, 13 months after the start.

Of 1,981 non-industry interventional studies with no phase under Neoplasms, half reached primary completion within 29 months of starting (the median), counting those still running; a quarter within 13 and three quarters within 52. This study's planned 13 months is below that.

Counting every sponsor, half of 2,056 studies reached it within 29 months; a quarter within 13 and three quarters within 52.

Neoplasms covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 13, 2026
First posted
Feb 5, 2026
StartActual
May 25, 2026
Primary completionEst.
Jun 2027
CompletionEst.
Jun 2027
Last update
Jun 1, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Jun 1, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07391280
Responsible party
Sponsor
First posted
Feb 5, 2026
Start date
May 25, 2026
Primary completion
Jun 2027 (estimated)
Completion
Jun 2027 (estimated)
Last update
Jun 1, 2026

Study contacts

Clea Du Toit
Contact
clea.dutoit@nhs.scot
0141 314 4328
Dervla Carroll
Contact
dervla.carroll@glasgow.ac.uk
David J Lowe
principal investigator · University of Glasgow

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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