[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100623026":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":26,"centralContacts":31,"locations":40,"responsibleParty":57,"collaborators":59,"id":61,"slug":62,"hasResults":63,"nctId":64,"briefTitle":65,"officialTitle":65,"acronym":66,"eligibilityCriteria":67,"healthyVolunteers":63,"sex":68,"minAge":69,"maxAge":25,"enrollmentInfo":70,"targetDuration":25,"studyType":73,"phases":74,"briefSummary":76,"conditions":77,"keywords":81,"overallStatus":43,"whyStopped":25,"lastUpdateSubmitDate":87,"lastUpdatePostDateStruct":88,"startDateStruct":91,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},{"fullName":5,"class":6},"NHS Greater Glasgow and Clyde","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Harrison CXR 'ON' Block","EXPERIMENTAL","Chest X-ray AI results will be available to the treating clinician",[13],"Device: Harrison.ai Chest X-Ray Solution",{"label":15,"type":16,"description":17,"interventionNames":18},"Harrison CXR 'OFF' Block","ACTIVE_COMPARATOR","Chest X-ray AI results will not be available to the treating clinician",[13],[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"DEVICE","Harrison.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.",[15,9],null,[27],{"name":28,"affiliation":29,"role":30},"David J Lowe","University of Glasgow","PRINCIPAL_INVESTIGATOR",[32,37],{"name":33,"role":34,"phone":35,"phoneExt":25,"email":36},"Clea Du Toit","CONTACT","0141 314 4328","clea.dutoit@nhs.scot",{"name":38,"role":34,"phone":25,"phoneExt":25,"email":39},"Dervla Carroll","dervla.carroll@glasgow.ac.uk",[41],{"facility":42,"status":43,"city":44,"state":25,"zip":25,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"Queen Elizabeth University Hospital","RECRUITING","Glasgow","United Kingdom","UK",{"type":48,"coordinates":49},"Point",[50,51],-4.25763,55.86515,{"lat":51,"lon":50},[54,55],{"name":33,"role":34,"phone":35,"phoneExt":25,"email":36},{"name":56,"role":34,"phone":25,"phoneExt":25,"email":39},"Dr Dervla Carroll",{"type":58,"investigatorFullName":25,"investigatorTitle":25,"investigatorAffiliation":25,"oldNameTitle":25,"oldOrganization":25},"SPONSOR",[60],{"name":29,"class":6},"100623026","strategy-for-early-recognition-of-cancer-copd--heart-failure-in-the-emergency-department-100623026",false,"NCT07391280","Strategy for EArly Recognition of Cancer, COPD & Heart Failure in the Emergency Department","SEARCH-ED","Inclusion Criteria:\n\nUnconsented Use of Harrison CXR Algorithm in Emergency Department (ED):\n\n* Frontal Chest X-Ray (CXR) (AP or PA) acquired in the Queen Elizabeth University Hospital (QEUH) ED\n* Patients aged 18 or over\n* Appropriate meta data (DICOM) to allow for Harrison CXR processing and secondary capture report provision.\n\nPatient Focus Groups:\n\n* Aged 18 or over\n* Able to provide written, informed consent in English.\n\nClinician Focus Groups:\n\n* Aged 18 or over\n* Able to provide written, informed consent in English.\n* Working as a doctor, advanced nurse practitioner or advanced clinical practitioner in ED, radiology or downstream medical specialties\n* For post-implementation focus groups only, must have at least 4 months experience of working with Harrison CXR algorithm.\n\nDiagnostic Clinic:\n\n* Patients without terminal illness or advanced frailty\n* Usual healthcare provider based in NHS GGC\n\nExclusion Criteria:\n\nApplies to use of unconsented CXRs:\n\n\\- 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.\n\nApplies to invitation to combined diagnostic clinic:\n\n* 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.\n* 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\n\nFor Patient and Clinician Focus Groups:\n\n* Unable to provide informed written consent in English\n* Aged \\\u003C18","ALL","18 Years",{"count":71,"type":72},17000,"ESTIMATED","INTERVENTIONAL",[75],"NA","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.\n\nWe 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.",[78,79,80],"Cancer","Cardiovascular","Respiratory",[82,83,84,85,86],"Artificial Intelligence","Chest X-Ray","Lung Cancer","Heart Failure","COPD","2026-05-28",{"date":89,"type":90},"2026-06-01","ACTUAL",{"date":92,"type":90},"2026-05-25",{"date":94,"type":72},"2027-06",{"name":5,"class":6},1]