[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"workload\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:workload":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,57],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":33,"overallStatus":45,"whyStopped":4,"lastUpdateSubmitDate":46,"lastUpdatePostDateStruct":47,"startDateStruct":50,"completionDateStruct":52,"leadSponsor":54,"locationsCount":4},"100659599","a-pragmatic-trial-of-ai-assisted-discharge-summary-generation-100659599",false,"NCT07866001","A Pragmatic Trial of AI-Assisted Discharge Summary Generation","An EHR-embedded Pragmatic Parallel-group, Operationally-driven Clinical Trial of AI-assisted Discharge Summary Generation","DRAFT-AI","Inclusion Criteria:\n\n* Healthcare provider at participating hospital on a hospitalist ward (teaching or non-teaching ward)\n* English speaking\n\nExclusion Criteria:\n\n* Planned leave during study period","ALL","18 Years",{"count":20,"type":21},80,"ESTIMATED","INTERVENTIONAL",[24],"NA","The goal of this study is to learn whether an artificial intelligence (AI) tool built into the electronic health record helps hospital physicians write discharge summaries. A discharge summary is the document that tells a patient's family doctor and other providers what happened during a hospital stay.\n\nThe main questions this study aims to answer are:\n\nDoes access to the AI tool reduce the time physicians spend writing discharge summaries? Does it change the quality of discharge summaries or how soon they are completed? How does it affect physician workload?\n\nPhysicians will be randomly assigned to either have access to the AI tool or complete discharge summaries as they usually do. Physicians with access can choose whether to use the tool, and they review and edit any AI-generated text before it becomes part of the discharge summary.",[27,28,29,30,31,32],"Inpatient Internal Medicine Patients","Patient Discharge","Documentation","Artificial Intelligence (AI)","Electronic Health Records","Workload",[34,35,36,37,38,39,40,41,42,43,44],"Discharge Summary","AI Note Writing Tool","Generative artificial intelligence","Large language model","Clinical documentation","Electronic health record","Epic","Documentation burden","Hospital medicine","Physician workload","Pragmatic randomized controlled trial","NOT_YET_RECRUITING","2026-10-06",{"date":48,"type":49},"2026-10-08","ACTUAL",{"date":51,"type":21},"2026-10-07",{"date":53,"type":21},"2027-02",{"name":55,"class":56},"Unity Health Toronto","OTHER",{"id":58,"slug":59,"hasResults":11,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":4,"eligibilityCriteria":63,"healthyVolunteers":64,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":65,"targetDuration":4,"studyType":67,"phases":4,"briefSummary":68,"conditions":69,"keywords":72,"overallStatus":45,"whyStopped":4,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":87},"100657129","perioperative-nursing-workload-missed-care-and-near-miss-events-a-prospective-observational-study-100657129","NCT07834580","Perioperative Nursing Workload, Missed Care, and Near-Miss Events","Perioperative Nursing Workload, Missed Safety-Critical Care and Near-Miss Events: A Prospective Study Guided by the Donabedian Structure-Process-Outcome Model","Inclusion Criteria (Perioperative Nurses):\n\n* Actively on duty as a perioperative (operating room) nurse at Agri Training and Research Hospital\n* At least 3 months of operating room experience\n* Voluntary agreement to participate and to complete the post-procedure NASA-TLX form\n\nExclusion Criteria (Perioperative Nurses):\n\n* Extended leave or medical report resulting in inactive duty during the data collection period\n* Withdrawal from the study\n* Failure to complete the post-procedure workload assessment form\n\nInclusion Criteria (Surgical Procedures):\n\n* Performed in the operating rooms of Agri Training and Research Hospital\n* Involves a participating perioperative nurse who is actively on duty\n* Elective or planned surgical procedure\n* At least a portion of the safety-critical care items are directly observable\n\nExclusion Criteria (Surgical Procedures):\n\n* Emergency\u002Fresuscitative circumstances that would affect the clinical flow being observed\n* Procedures in which observation could not be completed\n* Observation records missing core variables",true,{"count":66,"type":21},330,"OBSERVATIONAL","This prospective, single-center observational study examines the relationship between perioperative nursing workload and safety-critical perioperative nursing care in the operating rooms of Agri Training and Research Hospital. Guided by the Donabedian structure-process-outcome framework, the study will directly observe eligible surgical procedures to record objective, procedure-level workload indicators (interruptions, task-switching, concurrent duties, procedure duration, shift timing, and equipment\u002Fsupply shortages) together with the observed perioperative nurse's self-reported workload using the Turkish NASA Task Load Index (NASA-TLX), and a structured observation of nine safety-critical perioperative nursing care tasks (identification\u002Fprocedure\u002Fsite verification, allergy and critical preoperative information verification, positioning and pressure-injury prevention, normothermia, surgical counts, specimen\u002Flabel verification, equipment and implant readiness, handoff, and documentation). Any delayed or omitted safety-critical care items, and any near-miss or process-deviation events identified and corrected before patient harm, will also be recorded using standardized forms. The study does not involve patients as direct research participants; only the perioperative work environment and voluntarily participating nurses are observed, and routine clinical care, staffing assignments, and surgical decisions will not be modified. The primary aim is to determine whether higher perioperative nursing workload is associated with a higher rate of missed\u002Fdelayed safety-critical nursing care at the procedure level; secondary aims examine the association between missed safety-critical care and near-miss\u002Fprocess-deviation events, and, if sufficient events occur, whether missed safety-critical care mediates part of the relationship between workload and near-miss\u002Fprocess-deviation events.",[70,71,32],"Missed Nursing Care","Patient Safety",[73,74,75,76,77],"Donabedian Model","Perioperative Nursing","Safety-Critical Care","Near-Miss","NASA-TLX","2026-09-21",{"date":80,"type":49},"2026-09-24",{"date":82,"type":21},"2026-10",{"date":84,"type":21},"2026-12",{"name":86,"class":56},"Volkan Gokmen",1]