Clinical trials: Patient Monitoring, open to volunteers
Kidney Transplant, Urinary Tract Infection(UTI)
Antibiotics for Kidney Transplant Recipients
The goal of this clinical trial is to learn if a common antibiotic called trimethoprim-sulfamethoxazole (TMP-SMX) can help prevent urinary tract infections (UTIs) in children and young adults who recently had a kidney transplant.
- Conditions
- Kidney Transplant, Urinary Tract Infection(UTI), Antibiotic Prophylaxis, Remote Patient Monitoring
- Trial name
- TASK (NCT07106125)
- Testing
- Trimethoprim-Sulfamethoxazole (TMP-SMX), Usual Care
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- University of California, San Francisco
Diabetes, Diabetes Care
Changing Outpatient Diabetes Care With Remote-Patient-Monitoring: A Real World Evidence Study With Pre-Post Comparison
The goal of this observational pre-post study is to evaluate a remote-patient-monitoring-system (RPM-system) integrated within an electronic health record (EHR) system in a real world cohort of approximately 12.000 people with…
- Conditions
- Diabetes, Diabetes Care, Diabetes Type 1, Diabetes Type 2
- Trial name
- NCT07617519
- Testing
- Remote-Patient-Monitoring (RPM)
- Where
- Denmark
- Volunteers
- 12,000 people
- Sponsor
- Steno Diabetes Center Copenhagen
Heart Transplant Rejection, Immune Suppression
Mobile Video Directly Observed Therapy (DOT) for Immunosuppression Medication Adherence in Adolescent Heart Transplant Recipients
We will conduct a two-group randomized controlled trial to examine the eMocha DOT intervention with pediatric HT recipients.In this population, medication nonadherence remains a primary cause of late acute rejection (LAR)…
- Conditions
- Heart Transplant Rejection, Immune Suppression, Pediatric Heart Transplant, Medication Nonadherence
- Trial name
- NCT05732779
- Testing
- DOT intervention
- Where
- 4 sites in United States
- Volunteers
- 100 people
- Sponsor
- University of Florida
Behavioral Monitoring in ICU, Prediction of Accidental Events Using AI-Assisted Video Analysis
Exploring the Use of AI-Assisted Video Monitoring to Predict Accidental Events in ICU Patients
This study aims to improve the safety and care of patients in the Intensive Care Unit (ICU) by using artificial intelligence (AI) to analyze video monitoring.
- Conditions
- Behavioral Monitoring in ICU, Prediction of Accidental Events Using AI-Assisted Video Analysis, ICU Patient Safety and Early Warning System
- Trial name
- AIME-ICU (NCT07307521)
- Testing
- AI-Assisted Video Monitoring
- Volunteers
- 300 people
- Sponsor
- Shanghai Zhongshan Hospital
Survey on Patient and Parental Perceptions of EEG-monitoring During Paediatric Anaesthesia Care
Survey on Patient and Parental Perceptions of EEG-monitoring During Paediatric Anaesthesia Care
Electroencephalographic (EEG) monitoring during general anaesthesia (GA) is not typically part of standard care during GA. The recent availability of non-invasive commercial EEG monitors for children has made EEG monitoring more…
- Trial name
- NCT06937398
- Where
- Singapore
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- KK Women's and Children's Hospital