Clinical trials: Decision Support System, open to volunteers
Pediatric Intensive Care Nurses
The Effect of the Model-Based Care Decision Support System in Pediatric Intensive Care on Nurses' Decision Making and Opinions
The Effect of the Model-Based Care Decision Support System in Pediatric Intensive Care on Nurses' Decision Making and Opinions
- Trial name
- NCT07078864
- Testing
- Nursing Care Decision Support System
- Where
- Turkey (Türkiye)
- Volunteers
- 35 people, healthy volunteers welcome
- Sponsor
- Abant Izzet Baysal University
Solid Organ Malignancies
Neural Network-based Treatment Decision Support Tool in Patients With Refractory Solid Organ Malignancies
DRUID is a treatment decision support tool combining predictive models and public databases related to multi-gene markers, drug response screens, gene essentiality and clinical status of drugs to provide drug recommendations…
- Trial name
- DRUID (NCT05719428)
- Testing
- DRUID AI Program
- Where
- Singapore
- Volunteers
- 37 people
- Sponsor
- National University Hospital, Singapore
COPD
Evaluating the EAPOC-COPD System
This study evaluates the implementation and impact of the Evidence-at-the-Point-of-Care Chronic Obstructive Pulmonary Disease (EAPOC-COPD) system, a computerized clinical decision support system designed to improve the quality of…
- Trial name
- EAPOC-COPD (NCT06852339)
- Testing
- EAPOC-COPD
- Where
- Canada
- Volunteers
- 25 people
- Sponsor
- Women's College Hospital
Chest Pain, Acute Coronary Syndrome
Digital Decision Support in the Management of Patients With Chest Pain
The goal of this observational study is to develop a decision support system in patients presenting with chest pain in the prehospital setting.
- Conditions
- Chest Pain, Acute Coronary Syndrome, Chest--Diseases
- Trial name
- BRIAN2 (NCT05767619)
- Testing
- Troponin hs-cTnI, Plasma glucose
- Where
- 3 sites in Sweden
- Volunteers
- 2,000 people
- Sponsor
- Vastra Gotaland Region
Dyslipidemia, Coronary Artery Disease
Guideline Adherence in Dyslipidemia With Clinical Decision Support
Objective: To validate the performance of the developed clinical decision support system (CDSS) for participants with lipid metabolism disorders based on a decision tree algorithm.
- Conditions
- Dyslipidemia, Coronary Artery Disease, Atherosclerosis of Major Arteries, Cardiovascular Risk
- Trial name
- NCT07412457
- Where
- Russia
- Volunteers
- 500 people
- Sponsor
- I.M. Sechenov First Moscow State Medical University
Myofacial Pain Syndrome, Clinical Decision Support
Artificial Intelligence Clinical Decision
The goal of this study is to investigate the effect of AI integration into clinical physical therapy clinical decision in improving cost effectiveness and clinical outcomes purposes of the study are: 1.
- Trial name
- AI/CDM (NCT07342790)
- Testing
- dry needling, neuromuscular facilitation (PNF) stretching, strengthening exercises (isometric & dynamic)
- Where
- Egypt
- Volunteers
- 70 people
- Sponsor
- Cairo University
Hip Fracture Surgeries, High Risk Population of Hip Fractures
A Decision Support Tool for Common Surgical Fixations of Hip Fractures
This study aims to improve how patients, families, and healthcare professionals work together to make important medical decisions, especially in cases involving hip fractures.
- Conditions
- Hip Fracture Surgeries, High Risk Population of Hip Fractures, Decision Surrogate of Hip Fixations
- Trial name
- NCT07909876
- Testing
- IDeA for Hip Fracture, Non-IDeA for hip fracture
- Volunteers
- 450 people, healthy volunteers welcome
- Sponsor
- Taipei Medical University WanFang Hospital
Chronic Pain, Pain Management
PREDICT-DOLOR VE: Validation of a Structured Triage Protocol for Chronic Pain
PREDICT-DOLOR VE is a structured clinical triage protocol for chronic pain that uses five internationally validated pain assessment instruments to help healthcare providers determine the appropriate level of care for patients…
- Conditions
- Chronic Pain, Pain Management, Neuropathic Pain
- Trial name
- PREDICT-VE (NCT07696676)
- Testing
- PREDICT-DOLOR VE
- Volunteers
- 120 people
- Sponsor
- Universidad Central de Venezuela
Hereditary Breast/Ovarian Cancer (brca1, brca2), Lynch Syndrome
Patient Centered Clinical Decision Support for Hereditary Cancer Syndromes
The goal of this clinical trial is to address care gaps for participants at high risk of breast and ovarian cancer (HBOC), or Lynch syndrome (LS) because of testing positive for specific genetic variants.
- Conditions
- Hereditary Breast/Ovarian Cancer (brca1, brca2), Lynch Syndrome, Genetic Variation, HBOC Syndrome
- Trial name
- PC-CDS (NCT06914726)
- Testing
- Patient Centered Clinical Decision Support (PC-CDS)
- Where
- United States
- Volunteers
- 2,488 people
- Sponsor
- HealthPartners Institute
Depression, Anxiety Disorders
The PredictPlusPrevent Study
Objective: To design, develop, and evaluate a personalized intervention for the universal prevention of depression and anxiety in the general population based on risk algorithms, ICTs, and decision support systems (DSS).
- Trial name
- NCT06351800
- Testing
- Predictplusprevent intervention, Psychoeducational intervention
- Volunteers
- 9,000 people, healthy volunteers welcome
- Sponsor
- The Mediterranean Institute for the Advance of Biotechnology and Health Research
Disorders of Consciousness, Vegetative State
AI-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback for Patients With Disorders of Consciousness
Disorders of consciousness (DoC) are severe neurological conditions characterized by impaired awareness and reduced interaction with the environment.
- Conditions
- Disorders of Consciousness, Vegetative State, Minimally Conscious State
- Trial name
- AI-HBOT-DoC (NCT07855848)
- Testing
- AI-Assisted Personalized Hyperbaric Oxygen Therapy, Conventional Hyperbaric Oxygen Therapy
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.