Clinical Research Directory

AI-Simplified Discharge Summaries to Improve Patient Comprehension (ContextCare)

This randomized pilot study will compare standard hospital discharge communication with discharge summaries simplified using ContextCare, an artificial intelligence-assisted application. The study will enroll 50 adults discharged from Scarborough Health Network. Participants will be assigned to one of two groups in a 1:1 ratio, with allocation stratified by baseline health literacy. The main measure is how well participants explain their diagnosis, treatment, follow-up care, and instructions for seeking further help immediately after receiving discharge information. The study will also assess satisfaction, recall after discharge, and selected post-discharge outcomes.

AI-Assisted Discharge Documents for Children and Families in a Pediatric Emergency Department

This study compared two ways of preparing discharge documents for children and families leaving a pediatric emergency department. In the usual workflow, information from the electronic health record was assembled into a fixed document template. In the alternative workflow, ERIOS Assistant, an artificial intelligence system hosted within the hospital, drafted documents for health professionals and for families or children. A clinician reviewed and validated the documents before they were handed to the family in both workflows. According to the completed study report, assignment concerned document production after the decision to discharge and did not determine diagnosis, treatment or disposition. Families were contacted by telephone after discharge to assess how their account of the care and instructions agreed with the medical record, as well as their perceived understanding, satisfaction and use of the documents. The protocol also planned assessment of document quality, readability, clinician experience, usability and human supervision. This study is being registered retrospectively after the randomized component was completed.

PACU Discharge Readiness

The use of custom-created apps, neuropsychological testing, and clinical assessments will be evaluated as tools for determining the appropriateness of PACU discharge to home.

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.

Impact of an Emergency Advanced Practice Nurse on Complications After Home Discharge of Oxygen-Dependent Patients Managed in the Emergency Department: A Quantitative and Qualitative Study

Since the COVID-19 pandemic, discharging patients home on low-flow oxygen therapy has proven to be a safe and effective alternative to hospitalization, helping to relieve overcrowded hospitals while ensuring continuity of care. At the investigating emergency department, a dedicated care pathway ("Oxy-Urg") already allows selected oxygen-dependent patients to return home with a home-care provider, regardless of the cause of their breathlessness, once their condition is stable. This study evaluates whether managing these patients with a team combining an emergency advanced practice nurse (APN) and an emergency physician, rather than a physician alone, improves the organization of care and reduces complications after home discharge. Adult oxygen-dependent patients eligible for the Oxy-Urg pathway are randomly assigned (1:1) to management by an APN-physician team (intervention group) or by a physician alone (control group). Both groups then receive the usual Oxy-Urg pathway (home oxygen therapy, provider tele-monitoring, community nurse and general practitioner follow-up). The main goal is to compare the number of organizational adverse events occurring between inclusion and Day 28 between the two groups. The study also assesses clinical deterioration after discharge, the time professionals spend setting up the pathway, and, through interviews and a focus group, the experience of patients and professionals. The hypothesis is that the APN-physician team allows a more efficient organization and improves the patient experience, supporting the sustainability and wider use of this pathway.

CABG-AI-Supported Discharge Education

This randomized controlled trial will evaluate the effectiveness of artificial intelligence-supported individualized discharge education for patients undergoing coronary artery bypass graft (CABG) surgery. Participants will be assigned to either the intervention group, which will receive personalized AI-generated discharge education delivered through a nurse-avatar video in addition to standard verbal education, or the control group, which will receive standard discharge education only. The study will compare postoperative pain, anxiety, physiological stress response, recovery, and satisfaction with discharge education between the two groups. Outcomes will be measured during hospitalization and at the routine postoperative follow-up visit. The findings may help improve patient education methods and postoperative recovery in cardiac surgery patients.

Efficiency of the "Medidux" Smartphone App for Demission Management in Patients Medicated in Acute Admission Unit (AAU)

The goal of this clinical trial is to evaluate whether the use of the medidux™ smartphone app can optimize post-discharge management for patients admitted to Acute Admission Units (AAU) with non-urgent health complaints. This trial includes adult patients (age ≥ 18) in Emergency Severity Index (ESI) triage system groups 4 (standard) or 5 (non-urgent), presenting with primary symptoms such as cough, back pain, or abdominal discomfort. The main question it aims to answer is: Can the medidux™ app reduce the incidence of AAU readmissions, emergency hospitalizations, or consultations with other medical providers within 7 days after initial admission? Researchers will compare participants using the medidux™ app (intervention arm) with those receiving standard care (control arm) to observe potential differences in the rates of readmissions, emergency hospitalizations, and medical consultations. Participants will: * use the medidux™ app to monitor their symptoms and vital parameters for 7 days after discharge (intervention arm). * receive follow-up consultations at day 7 and at day 28 to assess symptom progression and any healthcare interactions (both arms).

One Year Pacing Dependency After TAVR

Pace maker implantation after the procedure of TAVR can be estimated at 15% of patients. However, some studies have shown that the conduction disturbances after TAVR could resolve over time, and that roughly between one- and two-thirds of patients who required a permanent pace maker implantation post TAVR were not found to be dependent at subsequent follow-up. This study aims to evaluate a cohort of patients permanently implanted with a pacemaker post-TAVR for high-grade conductive disorders and to describe the prevalence of effective pacemaker stimulation at 1 year follow-up. Secondary objectives include the evaluation of the prevalence of effective stimulation 3 months after implantation of the pace maker , description of the types of conductive disorders associated with atrial and/or ventricular stimulation, description of the initial indication for pacemaker implantation, description of the characteristics of the population with or without stimulation dependency. The objective is to better rationalize indication of permanent stimulation after TAVI

Postoperative Bladder Filling After Outpatient Laparoscopic Hysterectomy and Time to Discharge

The investigators hypothesize that backfilling the bladder postoperatively will reduce time to spontaneous void and subsequent discharge from the post-anesthesia care unit.

Effects of an Information-Based Discharge Service on Preterm Infants, Parents, and Hospitals

Background:The Information-Based Discharge Preparation Service (IBDPS) supports parents of preterm infants during the transition from hospital to home, but its effectiveness has not been widely studied. Objective:To evaluate the impact of IBDPS on parental readiness, caregiving skills, stress, satisfaction, infant development, readmission rates, length of stay, and hospital costs. Design: A randomized controlled trial (RCT) in a NICU in Jiangsu Province, China. Participants: Preterm infants and their parents. Methods:Participants are randomly assigned to receive either IBDPS plus usual care (intervention group) or usual care alone (control group). Data on parental and infant outcomes are collected at various stages from admission to one month post-discharge, along with hospital metrics like length of stay and readmission rates.