AI tool to prevent blood clots in hospitalized patients

This trial tests a computerized tool that helps doctors decide who needs prevention medicines to lower the risk of blood clots after a hospital stay. It may help reduce preventable clotting risk for people who are less mobile and have added risk factors.

This trial uses a smart device app to help manage blood clot prevention when you go home from the hospital. It focuses on patients at high risk for clots and uses simple technology to guide their care.

This trial tests a new computer tool that helps doctors decide whether you likely have a blood clot in your leg or lung. If you have symptoms and are not already on blood thinners, you may be able to join.

This trial uses an artificial intelligence (AI) system to read CT scan images of the lungs and predict outcomes after a pulmonary embolism (a blood clot in the lung). It may help doctors identify who is at higher risk, so treatment decisions can be faster and more accurate.

This study looks at a prevention plan to reduce the risk of hospital-acquired blood clots. It may help people who are expected to stay in the hospital for several days but do not already have a clot.

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.