Clinical trials
Clinical Decision Support clinical trials
Below are recruiting clinical decision support clinical trials, each written for real people, not researchers. We’re tracking 89 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06358261Enrolling by invitation
Diabetes prevention study using a patient activation tool
This trial tests a tool that helps people with prediabetes take steps to prevent diabetes. If you are a patient at a specific Johns Hopkins clinic and use MyChart, you may be able to join.
Lutherville, MarylandAges 25–75 - NCT06121661RecruitingPhase 1
Testing a trauma decision support system in the ER
This trial tests a computer system that helps doctors make decisions about trauma care. It looks at whether the system can improve care for patients with serious injuries in the Emergency Department.
Boston, MassachusettsAges 18 years+ - NCT05687292Recruiting
Decision tool to shorten breathing machine time in children
This study tests whether a computer “decision support” tool can help doctors safely reduce how long a child stays on a breathing machine after heart surgery. It may help children get off mechanical ventilation sooner and recover faster.
Boston, MassachusettsAges 1 day–12 years - NCT05668637Recruiting
AI tool to support care decisions for ventilated adults
This study tests an artificial intelligence (AI) software that helps clinicians make care decisions for people who are on a breathing machine. It may help teams respond faster and more consistently when complex breathing support is needed.
Cleveland, OhioAges 18 years+ - NCT05447806Recruiting
Diabetes decision help after an alert message
This study tests a computer system that helps clinicians make better diabetes decisions when an alert or disease-management message appears. It may help your care by guiding what actions the care team takes next.
Hershey, PennsylvaniaAges 18 years+ - NCT05341986Enrolling by invitation
ED tool to help prevent stroke in atrial fibrillation
This study tests an electronic decision-support tool used in the emergency department (ED) to help clinicians choose the safest way to prevent stroke when atrial fibrillation is newly found. It may help by improving how quickly and consistently stroke-prevention treatment is considered.
Portland, OregonAges 18 years+ - NCT07382349Recruiting
Decision support tools for fatty liver disease
This study tests electronic tools to help doctors identify and care for patients with steatotic liver disease (fatty liver). If you have risk factors like diabetes or elevated liver enzymes, this trial may help improve your care.
Nashville, TennesseeAges 18 years+ - NCT07096232Enrolling by invitation
AI vs doctor for eye surgery and keratoconus diagnosis
This study compares an AI system to a specialist eye doctor to see which is better at diagnosing vision problems like nearsightedness, farsightedness, astigmatism, and keratoconus. Your existing medical records will be used to see how well the AI performs.
Cairo, MaadiAges Any age - NCT07298694Enrolling by invitation
Choosing a hypertension medication with helpful defaults
This trial tests whether changing the default options in doctors' ordering systems can help patients get the best medication for high blood pressure. You may be eligible if you are an adult who recently received a prescription for a common blood pressure drug at a participating clinic.
Danville, PennsylvaniaAges 18 years+ - NCT06270797Recruiting
Pre-anesthesia imaging to assess your breathing passages
This study tests a new way to check your breathing passages using images taken before anesthesia. It aims to help doctors plan safer airways for surgery.
Kaohsiung City, Sanmin DistAges 18–85 - NCT07760051Recruiting
AI tools for planning hospital care
This study looks at how doctors use different digital tools, including AI, to plan care for people coming into the hospital. It may help make hospital care safer and better planned.
Hangzhou, ZhejiangAges 18 years+ - NCT07705880Recruiting
Predicting cancer in large flat colon polyps
This study tests a new tool to help doctors decide if a large, flat colorectal polyp might contain cancer. It involves doctors who use the tool during colonoscopy to better guide treatment.
GhentAges 18 years+ - NCT07352527Recruiting
New blood test for adrenal nodule diagnosis
This trial is testing a new method (using a blood test that measures steroid hormones) to better diagnose whether adrenal nodules are causing mild hormone problems. It may help doctors decide if you need treatment or just monitoring.
PessacAges 18 years+ - NCT07337577Recruiting
Heart failure study using AI messages to improve treatment
This study tests whether messages from a large language model (a type of AI) can help doctors prescribe the right medicines for heart failure. It may help people with heart failure get the best guideline-recommended treatments.
Boston, MassachusettsAges 18–85 - NCT07252700Recruiting
Prediabetes study: better care through electronic records
This trial tests if using electronic medical records can help doctors manage prediabetes better in primary care. It looks at adults with prediabetes who visit certain polyclinics and aims to prevent diabetes from developing.
SingaporeAges 21–59 - NCT07152249Recruiting
Improving nausea and vomiting care during surgery
This trial tests a new approach to prevent nausea and vomiting after surgery. It compares usual care to a structured plan that matches anti-nausea medicines to your personal risk factors.
Nashville, TennesseeAges 18 years+ - NCT07137923Recruiting
Asthma care study for children at CHOP clinics
This study tests a new way to help children with asthma get better control of their symptoms. It compares different approaches to see which works best for kids who still have asthma attacks despite using their daily inhaler.
Philadelphia, PennsylvaniaAges 5–18 - NCT07138027Recruiting
Improving asthma care for children
This study tests a new approach in primary care to better manage childhood asthma. It focuses on children whose asthma is not well controlled and who already take a daily controller inhaler — it aims to find better ways to reduce flare-ups and improve daily breathing.
Philadelphia, PennsylvaniaAges 5–18 - NCT06939803Recruiting
AI tool to prevent blood clots in hospitalized patients
This trial tests an AI tool that helps doctors prevent blood clots in hospitalized patients. If you are admitted to a participating Vanderbilt hospital, you may be part of this study.
Nashville, TennesseeAges Any age - NCT06933875Recruiting
Palliative care support for heart failure patients
This study tests a program to bring palliative care (extra support for comfort and quality of life) to people hospitalized with heart failure. Your doctor will take part, and if you qualify, you may get this additional care during your stay.
New Haven, ConnecticutAges 18 years+ - NCT06898593Recruiting
Including patient goals in collaborative care
This trial looks at ways to better include your personal goals and concerns in your care if you're already in the Collaborative Care Model at Dartmouth Health. It aims to make your treatment more focused on what matters to you.
Concord, New HampshireAges 18–100 - NCT06828692Recruiting
Using computer tools to find the best blood pressure medicine for you
This trial tests a computer program that helps doctors choose the most suitable blood pressure medicine for each person. If you have high blood pressure and are taking none or two types of medication, this study may help find a better treatment plan.
Shenzhen, ShenzhenAges 35–79 - NCT05488080Recruiting
Improving emergency care for children with appendicitis or fractures
This project looks at how emergency department care is delivered for children with possible appendicitis or a long bone fracture, with a focus on reducing inequities. You may be eligible if your child comes to the emergency department for symptoms that could fit these conditions, and they are not in the most immediately life-threatening category.
Washington D.C., District of ColumbiaAges birth+ - NCT06694181Recruiting
Safe and explainable AI for heart, sepsis, and breast cancer patients
This trial uses artificial intelligence (AI) to create prediction models for three groups: cardiology patients, sepsis patients, and breast cancer patients. It aims to make these models safe and easy to understand for doctors.
Philadelphia, PennsylvaniaAges 18 years+
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Common questions
- Are there clinical trials for clinical decision support?
- Yes. Clin2 currently lists 89 recruiting clinical decision support studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a clinical decision support trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a clinical decision support trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.