Clinical trials: Clinical Decision Support
Sepsis, Acute Respiratory Distress Syndrome (ARDS)
Evaluating Artificial Intelligence-Based Clinical Decision Support for Sepsis and ARDS
Sepsis and acute respiratory distress syndrome (ARDS) are common in intensive care units. Managing sepsis and ARDS is inherently complex and requires making numerous decisions under uncertainty.
- Trial name
- NCT07025096
- Testing
- Artifical Intelligence-Generated Treatment Recommendations
- Where
- United States
- Volunteers
- 355 people
- Sponsor
- University of Pennsylvania
Lower Resp Tract Infection
TREATment of Lower Respiratory Tract Infection in Selected Hospitals in Southern Sri Lanka (TREAT-SL): a Stepped-Wedge Cluster Randomized Trial
This is a stepped-wedge, cluster-randomized, two-arm, open-label, clinical trial of an electronic clinical decision support tool (eCDST) for the diagnosis and treatment of lower respiratory tract infection (LRTI) among patients…
- Trial name
- TREAT-SL (NCT06331364)
- Testing
- electronic clinical decision support tool (eCDST) diagnostic plan
- Where
- 3 sites in Sri Lanka
- Volunteers
- 765 people
- Sponsor
- Duke University
Pressure Injury
Explainable AI for Prospective Pressure Injury Staging
This prospective observational mixed-methods study aims to develop and evaluate an explainable artificial intelligence model for staging pressure injuries using standardized clinical photographs and expert panel-labeled images…
- Trial name
- NCT07891689
- Where
- Turkey (Türkiye)
- Volunteers
- 415 people
- Sponsor
- hatice akaltun
Edema, Hypervolemia
Diuretic Tuner Clinical Decision Support
This purpose of this study is to determine the effectiveness of a mobile phone application in helping to control body swelling in patients with kidney problems.
- Conditions
- Edema, Hypervolemia, Chronic Kidney Diseases, Nephrotic Syndrome
- Trial name
- NCT04759274
- Testing
- Diuretic Tuner
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University of Texas Southwestern Medical Center
Cardiopulmonary Arrest, Resuscitation
Augmented Reality to Support Cardiopulmonary Resuscitation
A prospective, multicenter, randomized clinical trial in two tertiary pediatric emergency department. It will assess, amongst pediatric healthcare teams, whether the use of augmented reality supportive devices improves adherence…
- Conditions
- Cardiopulmonary Arrest, Resuscitation, Pediatric
- Trial name
- NCT06376643
- Testing
- Augmented reality supportive tool, Conventional method (AHA pocket reference card)
- Where
- 2 sites in Canada, Switzerland
- Volunteers
- 54 people, healthy volunteers welcome
- Sponsor
- Johan Siebert, MD
Chronic Heart Failure (CHF)
Assessment of the Impact of Clinical Decision Support Systems Included in Electronic Health Records
A non--interventional study to assess the impact of clinical decision support systems included in electronic health records on compliance with guidelines, including routing of patients with CHF, follow-up care, prescription and…
- Trial name
- NCT06248658
- Where
- Russia
- Volunteers
- 66,166 people
- Sponsor
- National Medical Research Center for Cardiology, Ministry of Health of Russian Federation
Ischemic Cerebrovascular Disease, Artificial Intelligence
Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology.
Establish an artificial intelligence clinical decision support system for patients with carotid/vertebral artery cerebrovascular stenosis, early identification of patients who may have cerebral infarction.
- Conditions
- Ischemic Cerebrovascular Disease, Artificial Intelligence, Prediction Model
- Trial name
- NCT06978348
- Where
- China
- Volunteers
- 244,296 people
- Sponsor
- Shanghai Jiao Tong University School of Medicine
Acute Kidney Injury
Effectiveness-Implementation Evaluation of Acute Kidney Injury Decision Support
Study Purpose: This study is testing an artificial intelligence (AI)-powered clinical decision support (CDS) system designed to help emergency department (ED) doctors detect and manage acute kidney injury (AKI) earlier.
- Trial name
- SMART-AKI (NCT06840210)
- Where
- United States
- Volunteers
- 200,000 people
- Sponsor
- Johns Hopkins University
Hypertension
Feasibility Study of a Novel mHealth Application to Enable Community Health Workers to Manage
This is a single group study assessing the feasibility of hypertension management by community health workers (CHWs) equipped with a mobile clinical decision support (CDS) application and working with remote physician supervision.
- Trial name
- NCT05479097
- Testing
- Anti-Hypertensive
- Where
- Guatemala
- Volunteers
- 32 people
- Sponsor
- University of Wisconsin, Madison
Organ Donation After Circulatory Death, Organ Donation
Improving Deceased Organ Donation and Transplantation Using the Donation Advisor Clinical Decision Support Tool
Every year, thousands of Canadians receive life-saving, cost-effective organ transplants, while thousands more still wait or die because not enough organs are available.
- Conditions
- Organ Donation After Circulatory Death, Organ Donation, Clinical Decision Support Tool
- Trial name
- DART (NCT07903428)
- Testing
- Donation Advisor clinical decision-support tool
- Volunteers
- 10 people
- Sponsor
- OBS Medical Ltd
HIV
Predictive Analytics and Clinical Decision Support to Improve PrEP Prescribing
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the U.S. initiative to end the HIV epidemic, but healthcare providers lack tools to support PrEP discussions and prescribing for patients likely to benefit.
- Trial name
- PrEDICT (NCT06805877)
- Testing
- Predictive Analytics and Clinical Decision Support
- Where
- 16 sites in United States
- Volunteers
- 16 people
- Sponsor
- Harvard Pilgrim Health Care
Depression
Individualizing Antidepressant Treatment Using Pharmacogenomics and EHR-driven Clinical Decision Support
The purpose of this study is to understand the effectiveness of pharmacogenomic testing in using antidepressants and to understand how EHR - driven clinical decision support system can be used to deliver PGx test results by…
- Trial name
- MyGenes (NCT03952494)
- Testing
- Genomind®Professional PGx Express TM
- Where
- United States
- Sponsor
- Weill Medical College of Cornell University
Intraoperative Hypotension, Hemodynamic Instability
AI-Assisted Blood Pressure Control During Anesthesia
This proof-of-concept randomized controlled trial evaluates a reinforcement learning (RL)-based clinical decision support system for intraoperative hemodynamic management during non-cardiac surgery.
- Trial name
- RL-PRAIS PoC (NCT07123675)
- Testing
- Device: AI Clinical Decision Support System, Procedure: Standard of Care Anesthesia
- Where
- 2 sites in China
- Volunteers
- 40 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Ventricular Ejection Fraction
A Multicenter Pragmatic Implementation Study of ECG-AI-Based Clinical Decision Support Software to Identify Low LVEF
A prospective, cluster-randomized, care-as-usual controlled trial to evaluate the impact of an ECG-based artificial intelligence (ECG-AI) algorithm to detect low left ventricular ejection fraction (LVEF) on diagnosis rates of…
- Trial name
- AIM ECG-AI (NCT05867407)
- Testing
- Anumana Low EF AI-ECG Algorithm, Care-as-Usual
- Where
- 5 sites in United States
- Volunteers
- 11,610 people
- Sponsor
- Anumana, Inc.
Hypertension, Pre Hypertension
Electronic Health Record-Based Clinical Decision Support to Improve Blood Pressure Management in Adolescents
The goal of this project is to improve detection and management of elevated blood pressure in adolescents. It (a) uses electronic health record (EHR) technology to deliver patient-specific clinical decision support (CDS) to…
- Conditions
- Hypertension, Pre Hypertension, Obesity
- Trial name
- NCT01760239
- Testing
- Clinical Decision Support (CDS)
- Where
- United States
- Volunteers
- 31,579 people, healthy volunteers welcome
- Sponsor
- HealthPartners Institute
Critically Ill, Hyperglycemia
Improving Blood Glucose Control With a Computerized Decision Support Tool: Phase 2
The Purpose of this study is to: 1. Introduce the refined, validated, and safe computerized bedside decision support tool for blood glucose management in critically ill adult and pediatric ICU patients that was studied in Phase 1…
- Trial name
- NCT00654797
- Testing
- glucose control with computer generated recommendations
- Where
- 10 sites in United States
- Volunteers
- 200 people
- Sponsor
- Intermountain Health Care, Inc.
Hypertension
Practice Facilitation to Scale up a CDS for Hypertension Management
Hypertension (HTN) is the most prevalent modifiable risk factor for cardiovascular disease among U.S. adults. Despite a long history of established guidelines to support clinical management, only half of U.S.
- Trial name
- NCT05588466
- Testing
- CDS Alone, CDS plus practice facilitation
- Where
- United States
- Volunteers
- 37 people, healthy volunteers welcome
- Sponsor
- New York City Department of Health and Mental Hygiene
Patient Acceptance of Health Care, Acute Renal Failure
DETECT-IP: a Clinical Decision Support System and Intelligent Procedures to Counter Some Adverse Drug Events in Older Hospital Patients
Current evidence shows that computerized decision support systems (CDSS) have shown to be insufficiently effective to prevent adverse drug reactions (ADRs) at large scale (e.g. whole hospital).
- Trial name
- DETECT-IP: (NCT05923983)
- Testing
- Clinical decision support, Will not receive Clinical Decision Support
- Where
- France
- Volunteers
- 783 people
- Sponsor
- University Hospital, Lille
Stroke, Headache
A Diagnostic Test on DeepDoc-an AI-based Decision Support System
DeepDoc is an AI-based decision support system for the early etiology diagnosis of neurological diseases using clinical data points from patients admitted to hospital within 24 hours.This study aims to evaluate whether the…
- Conditions
- Stroke, Headache, Vertigo, Meningitis/Encephalitis
- Trial name
- NCT04055766
- Testing
- DeepDoc AI-based Decision Support System
- Volunteers
- 4,000 people
- Sponsor
- Xijing Hospital
Nevus, Melanoma
Nevus Doctor Clinical Decision Support
The "Nevus doctor" is a dermatoscopy based computer decision support tool to assist general practitioners (GPs) in the classification of pigmented skin lesions (PSLs).
- Trial name
- NCT02012751
- Testing
- Nevus doctor program
- Where
- Norway
- Volunteers
- 49 people
- Sponsor
- University Hospital of North Norway