[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100629431":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":30,"centralContacts":34,"locations":40,"responsibleParty":57,"collaborators":25,"id":59,"slug":60,"hasResults":61,"nctId":62,"briefTitle":63,"officialTitle":64,"acronym":25,"eligibilityCriteria":65,"healthyVolunteers":61,"sex":66,"minAge":67,"maxAge":25,"enrollmentInfo":68,"targetDuration":25,"studyType":71,"phases":72,"briefSummary":74,"conditions":75,"keywords":77,"overallStatus":81,"whyStopped":25,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":91},{"fullName":5,"class":6},"Imperial College Healthcare NHS Trust","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Standard care - MDT pathway","ACTIVE_COMPARATOR","The patient will run in the current OpRESTORE pathway. This means manual processing of their referral by the OpRESTORE healthcare navigation team, summarising of the medical picture, discussion at a multidisciplinary team meeting and agreement on a treatment outcome.",[13],"Other: OpRESTORE healthcare navigation",{"label":15,"type":16,"description":17,"interventionNames":18},"AI-OpRESTORE - automated pathway","EXPERIMENTAL","In this pathway data is automatically gathered from the patients themselves through self-referral, automated screening of their medical record and only where needed human input (by members of the OpRESTORE clinical team) or additional information. This information is then run through the outcome predicting algorithm which decides on a treatment outcome. The decision is consider final but for the purpose of this study is reviewed by members of the clinical team and clinical members of the research team to ensure clinical coherence and avoid harm to participants.",[19],"Other: AI-OpRESTORE healthcare navigator",[21,26],{"type":6,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"AI-OpRESTORE healthcare navigator","An algorithm is developed as part of this study that predicts a patients best treatment pathway based on basic demographic variables, targeted clinical questions and prior clinical records. This is the first version of this algorithm in development built on UK OpRESTORE veteran data and tested on this same population.",[15],null,{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":25},"OpRESTORE healthcare navigation","This is the current standard of care which is a human healthcare navigation pathway where information is extracted manually, and cases are discussed at the opRESTORE MDT for UK veterans.",[9],[31],{"name":32,"affiliation":5,"role":33},"Shehan Hettiaratchy, FRCS MD","PRINCIPAL_INVESTIGATOR",[35],{"name":36,"role":37,"phone":38,"phoneExt":25,"email":39},"Natalia L Sanchez-Thompson, MRCS MSc","CONTACT","+447791700255","natalia.sanchez-thompson@nhs.net",[41],{"facility":42,"status":25,"city":43,"state":25,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"OpRESTORE, Imperial College Healthcare NHS trust","London","W2 1NY","United Kingdom","UK",{"type":48,"coordinates":49},"Point",[50,51],-0.12574,51.50853,{"lat":51,"lon":50},[54],{"name":55,"role":37,"phone":25,"phoneExt":25,"email":56},"Beth Lambert","beth.lambert4@nhs.net",{"type":58,"investigatorFullName":25,"investigatorTitle":25,"investigatorAffiliation":25,"oldNameTitle":25,"oldOrganization":25},"SPONSOR","100629431","oprestore-ai-patient-navigator-study-100629431",false,"NCT07474584","OpRESTORE AI-Patient Navigator Study","The OpRESTORE AI-Patient Navigator Study: Developing and Testing an AI-enhanced Patient Navigator for UK Veterans With Service-related Physical Health Problems","Inclusion Criteria:\n\n* Meets criteria for referral to OpRESTORE service\n* Age 18 years or older.\n* Capacity to consent.\n* Have a physical health need (e.g. not purely mental health, or seeking social care advice)\n\nExclusion Criteria:\n\n* Referrals processed outside standard MDT workflow.\n* Patients lacking capacity to consent.\n* Prisoners.\n* Acute presentation best managed by emergency services and not appropriate for OpRESTORE.","ALL","18 Years",{"count":69,"type":70},1389,"ESTIMATED","INTERVENTIONAL",[73],"NA","OpRESTORE is a national NHS service that supports UK veterans with complex physical health problems linked to their military service. Veterans referred to OpRESTORE often need care from many different specialists, including surgeons, pain teams, rehabilitation, and mental health services. Currently, decisions about which service is most appropriate are made by a multidisciplinary team (MDT) of clinicians. While effective, this process can be slow, resource-intensive, and sometimes difficult for patients to navigate.\n\nThis study will develop and test a new digital \"navigator\" tool that uses artificial intelligence (AI) to support these referral decisions. The aim is to see whether the tool can safely and accurately match veterans to the right care pathway, while reducing delays and improving patient experience.\n\nThe project will be carried out in several stages:\n\n* Reviewing past OpRESTORE records to design the AI model.\n* Testing the tool alongside the MDT (\"shadow testing\") to check whether its recommendations match the clinical decisions.\n* Running a case-control study to compare outcomes between patients referred using AI support and those referred by the MDT alone.\n* Creating and testing a structured self-referral form to make it easier for veterans to access care directly.\n\nThe main outcome will be whether the AI tool makes the same referral decisions as the MDT. Other outcomes include patient satisfaction, quality of life, time taken to reach the right service, and overall costs.\n\nThe study will recruit veterans aged 18 or older who are referred to OpRESTORE with a physical health need. It will run for two years. If successful, this approach could free up clinician time, shorten waits for treatment, and improve veterans' health and wellbeing, while laying the foundations for wider use of AI-supported navigation across the NHS.",[76],"Veteran",[78,79,80],"healthcare navigation","veteran healthcare","clinical AI","NOT_YET_RECRUITING","2026-03-11",{"date":84,"type":85},"2026-03-16","ACTUAL",{"date":87,"type":70},"2026-05-01",{"date":89,"type":70},"2027-11-01",{"name":5,"class":6},1]