Clinical trials: Clinical Decision Support Systems
Type 1 Diabetes (T1D)
Development and Preclinical Validation of DiaBuddy, a Point-of-Care Decision Support Tool for Children With Type 1 Diabetes: A Pilot Clinical Study
Type 1 Diabetes Mellitus (T1DM) in children requires precise insulin dose adjustments and reliable sick-day decision-making on a daily basis.
- Trial name
- DiaBuddy (NCT07470905)
- Testing
- Access to DiaBuddy tool
- Where
- India
- Volunteers
- 25 people
- Sponsor
- Regency Hospital Kanpur
Hyperglycemia, Critically Ill Patients
Clinical Risk Assesment of CS-1 Decision Support System
This is a single-center, open, non-controlled clinical investigation in 10 patients at the Medical University Graz including a treatment visit (V1)and a follow up visit(V2).
- Trial name
- NCT00502645
- Testing
- CS-1 DECISION SUPPORT SYSTEM
- Where
- Austria
- Volunteers
- 10 people
- Sponsor
- Medical University of Graz
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
Critical Illness, Sepsis
Implementation of a Web Based Real Time Clinical Decision Support Tool.
In the developed world critical illness is routinely treated in an intensive care unit (ICU) by highly specialized physicians, nurses and support staff.
- Conditions
- Critical Illness, Sepsis, Respiratory Failure, Shock
- Trial name
- CERTAINp (NCT02398981)
- Testing
- Clinical decision support tool
- Where
- 10 sites in China, Croatia and 4 more
- Volunteers
- 962 people
- Sponsor
- Mayo Clinic
Hypotension
Clinical Validation of Vital-PICASO for Predicting Hypotension Within 24 Hours in General Ward Inpatients
This retrospective study evaluated the clinical performance of Vital-PICASO, an artificial intelligence-based biological signal analysis software designed to predict the risk of hypotension within 24 hours using vital-sign data…
- Trial name
- NCT07742930
- Where
- South Korea
- Volunteers
- 648 people
- Sponsor
- Huinno AIM
Diabetic Retinopathy
Clinical Decision Support Algorithm to Predict Diabetic Retinopathy
Diabetic retinopathy (DR), a complication of diabetes, is a leading cause of blindness among working-aged adults globally. In its early stages, DR is symptomless, and can only be detected by an annual eye exam.
- Trial name
- NCT03769948
- Testing
- risk factors for diabetic retinopathy
- Volunteers
- 500 people
- Sponsor
- Oklahoma State University Center for Health Sciences
Acute Myocardial Infarction, Large Language Models
Acute Myocardial Infarction Clinical Intelligent Decision Support System
Acute Myocardial Infarction (AMI) remains the leading cause of cardiovascular mortality globally. In China, while the incidence of AMI is escalating at an annual rate of 5.2%, significant clinical challenges persist: diagnostic…
- Conditions
- Acute Myocardial Infarction, Large Language Models, Clinical Decision Support System
- Trial name
- AMI-CIDSS (NCT07367399)
- Where
- China
- Volunteers
- 15,000 people
- Sponsor
- Beijing Anzhen Hospital
Heart Failure, Chronic Obstructive Pulmonary Disease
Effects of Remote Patient Monitoring on Chronic Disease Management
Remote patient monitoring is a potential component for the management of chronic conditions that may provide reliable and real-time physiological measurements for clinical decision support, alerting, and patient self-management.
- Conditions
- Heart Failure, Chronic Obstructive Pulmonary Disease, Chronic Kidney Disease, Uncontrolled Hypertension
- Trial name
- NCT03127852
- Testing
- Medly
- Where
- Canada
- Volunteers
- 96 people
- Sponsor
- University Health Network, Toronto
Hypertension, Diabetes Mellitus, Type 2
COHERE - COntextualized Care in cHcs' Electronic Health REcords
This study was designed to develop and test clinical decision support (CDS) tools that present clinical care team members with a given patient's social risk information and recommend care plan adaptations based on those risks.
- Trial name
- COHERE (NCT05022316)
- Testing
- CDS Tool Access
- Where
- 3 sites in United States
- Volunteers
- 50 people
- Sponsor
- Kaiser Permanente
Gastric Cancer, Esophageal Cancer
Development of a Clinical Decision Support System With Artificial Intelligence for Cancer Care
Clinical Decision Support Systems (CDSSs) to augment clinical care and decision making. These are platforms which aim to improve healthcare delivery by enhancing medical decisions with targeted clinical knowledge, patient…
- Conditions
- Gastric Cancer, Esophageal Cancer, Esophagogastric Junction Cancer
- Trial name
- NCT04675138
- Testing
- No intervention will be provided to the subject
- Where
- 9 sites in Germany, Japan and 4 more
- Volunteers
- 1,000 people
- Sponsor
- National University Hospital, Singapore
Hepatocellular Carcinoma (HCC)
AI Multitask Model for HCC Treatment
We will integrate multi-modal cardiac data via an AI multitask framework to develop and validate concurrent models for liver function, treatment prognosis, and microvascular invasion (MVI) prediction in hepatocellular carcinoma.
- Trial name
- NCT07157085
- Testing
- Comprehensive treatment
- Where
- China
- Volunteers
- 7,000 people
- Sponsor
- Sun Yat-sen University
Systemic Lupus Erythematosus
Multicomponent Strategy to Implement a Clinical Practice Guideline and Improve Health Outcomes in People With SLE
Principal objective: To produce scientific knowledge on the effectiveness and cost-effectiveness of a multicomponent intervention for knowledge transfer and implementing a Clinical Practice Guideline (CPG) for Systemic Lupus…
- Trial name
- NCT03537638
- Testing
- Multicomponent intervention
- Where
- Spain
- Volunteers
- 237 people
- Sponsor
- Servicio Canario de Salud
Urinary Tract Infections
Implementation Study With Decision Support Based on Data
This study evaluates the implementation of a machine learning based clinical decision support system for treatment of patients presenting with an urinary tract infection in general practice.
- Trial name
- NCT04408976
- Where
- Netherlands
- Volunteers
- 16,824 people
- Sponsor
- Leiden University Medical Center
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
Inappropriate Prescribing
The Study in Outpatient Medicine Using Nudges to Improve Sleep
The goal of this clinical trial is to learn if electronic health record (EHR) nudges (changes to the EHR that do not restrict freedom of choice or alter incentives) can reduce Z-drug prescribing in primary care clinics for…
- Trial name
- SOMNUS (NCT06640023)
- Testing
- Z-drug Default Quantity, Redirection + Accountable Justification
- Where
- United States
- Volunteers
- 444 people
- Sponsor
- University of Southern California
Tobacco Use Disorder
Computer-Assisted Stop-Smoking Program in Helping Doctors Counsel Patients Who Smoke Cigarettes
RATIONALE: A computer-assisted stop-smoking program may help doctors counsel patients who smoke and may help increase the number of patients who stop smoking.
- Trial name
- NCT00865553
- Testing
- computer-assisted smoking cessation intervention, cancer prevention, educational intervention
- Where
- United States
- Volunteers
- 630 people
- Sponsor
- University of Vermont
Sepsis, Septic Shock
Early Versus Late Adjunctive Vasopressin in Septic Shock
The goal of the CASPER-Pilot study is to develop clinical decision support (CDS) technology within Epic to randomize patients with septic shock to early versus standard of care vasopressin initiation.
- Trial name
- CASPER-Pilot (NCT06709573)
- Testing
- vasopressin - early initiation, vasopressin - standard initiation
- Where
- United States
- Volunteers
- 300 people
- Sponsor
- The Cleveland Clinic
Tuberculosis, Iron Deficiency Anemia
Universal Screening for Tuberculosis and Anemia With the CHICA System
The CHICA system is a clinical decision support system that uses adaptive turnaround documents to provide point-of-care information to clinicians.
- Trial name
- NCT01322841
- Testing
- CHICA Diagnosis Module
- Where
- United States
- Volunteers
- 2,239 people, healthy volunteers welcome
- Sponsor
- Indiana University
Evaluate the Impact of the CDSS
Integrated Novel Clinical Decision Support System (CDSS) in a Computerized Physician Order Entry System
The purpose of this study is to understand the impact of CDSS by knowing the prescribers actions to the CDSS, also the influence of prescribing error announced by pharmacists.
- Trial name
- NCT00904072
- Where
- Taiwan
- Volunteers
- 50,000 people
- Sponsor
- National Taiwan University Hospital
Ventilation Therapy; Complications, Ventilator-Induced Lung Injury
Clinical Decision Support Tool in PARDS Pilot Study
Previous clinical trials in adults with acute respiratory distress syndrome (ARDS) have demonstrated that ventilator management choices can improve Intensive Care Unit (ICU) mortality and shorten time on mechanical ventilation.
- Conditions
- Ventilation Therapy; Complications, Ventilator-Induced Lung Injury, Ards
- Trial name
- NCT04068012
- Testing
- Ventilator protocol
- Where
- 8 sites in United States, Canada and 1 more
- Volunteers
- 180 people
- Sponsor
- Children's Hospital Los Angeles