Clinical trials: Clinical Decision-making
Critical Illness, Respiratory Disease
UltraSound for Accurate Decisions in Chest PhysioTherapy
Introduction: Physiotherapist usually uses a clinical examination, including auscultation, an analysis of blood gasses and chest imaging to determine the indication for chest physiotherapy, to choose the treatment protocol and…
- Trial name
- US-ADEPT (NCT02881814)
- Testing
- Lung and diaphragm ultrasound, Lung and diaphragm ultrasound in MV patients
- Where
- 4 sites in Australia, France
- Volunteers
- 153 people
- Sponsor
- Fondation Hôpital Saint-Joseph
Cognitive Change
Improving Clinical Decision Making Skills for Myanmar Physical Therapists by Series of Workshop
This study aims to improve the Clinical Decision Making (CDM) skills of a group of Myanmar physical therapists by series of educational workshops that will introduce them to and guide them through the decision making process by…
- Trial name
- NCT03149146
- Testing
- Clinical Decision Making (CDM) Workshop, Clinical Decision Making (CDM) Workbook
- Where
- Burma
- Volunteers
- 59 people, healthy volunteers welcome
- Sponsor
- Mahidol University
The Patient's Ability to Decide to Return Home After Hospitalization
A Clinical Decision Support Tool for Assessing the Ability to Decide on Returning Home in Elderly Patients with Cognitive Impairments
No validated and generalized tool for assessing a patient's ability to decide whether to return home after hospitalization exists.
- Trial name
- DROM-test (NCT06669559)
- Testing
- DROM-Test
- Where
- France
- Volunteers
- 238 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Hydronephrosis, Hydronephrosis Congenital
Integrating an AI-Driven Hydronephrosis Decision-Making Tool
Hydronephrosis is a common congenital kidney anomaly. While most cases resolve on their own, some require surgery. Clinicians rely on repeated ultrasounds and sometimes invasive tests to decide if surgery is needed, but…
- Trial name
- NCT07581223
- Testing
- Machine learning model
- Volunteers
- 322 people
- Sponsor
- The Hospital for Sick Children
Bone Fracture, Knee Trauma
Knee Injury Decision
At this time, there is no standardization for knee trauma care in children. Each physician is free to resort or not to radiography to verify or dispel bone fracture, depending on radiographic device availability.
- Trial name
- KID (NCT02856945)
- Where
- France
- Volunteers
- 25 people
- Sponsor
- Hospices Civils de Lyon
Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical
Comparing Artificial Intelligence and Physicians: A Vignette-Based Study in Pediatric Clinical Decision-Making
This study evaluates how well anonymized artificial-intelligence (AI) tools perform on standardized pediatric case vignettes and whether showing AI suggestions can improve clinicians' answers.
- Conditions
- Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical, Clinical Decision-making, Pediatrics
- Trial name
- NCT07179861
- Testing
- AI Suggestions (Anonymized 5-tool panel), Confidence Rating Task (1-10 Likert)
- Where
- Turkey (Türkiye)
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Haseki Training and Research Hospital
Sarcoidosis, Pulmonary
The Diagnostic and Prognostic Role of SAA in Intrathoracic Sarcoidosis
The goal of this observational study is to elucidate the role of serum amyloid A (SAA) in the diagnosis and follow-up of sarcoidosis, including its prognostic value.
- Trial name
- SARCO (NCT05811962)
- Testing
- No intervention
- Where
- Slovenia
- Volunteers
- 135 people
- Sponsor
- University Medical Centre Ljubljana