Clinical Research Directory

A Pragmatic Trial of AI-Assisted Discharge Summary Generation

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. The main questions this study aims to answer are: Does 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? Physicians 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.

Perioperative Nursing Workload, Missed Care, and Near-Miss Events

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/supply 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/procedure/site verification, allergy and critical preoperative information verification, positioning and pressure-injury prevention, normothermia, surgical counts, specimen/label 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/delayed safety-critical nursing care at the procedure level; secondary aims examine the association between missed safety-critical care and near-miss/process-deviation events, and, if sufficient events occur, whether missed safety-critical care mediates part of the relationship between workload and near-miss/process-deviation events.