This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The goal of this observational study is to learn about the utility of biopatches predicting 30-day readmissions in patients discharged from the hospital with sepsis. The main question\[s\] it aims to answer are: • Does the application of a biopatch provide data that can improve prediction of an unplanned 30-day readmission following a hospitalization for sepsis. Participants will be asked to wear a biopatch on their chest for 30-days following hospital discharge or until readmission to the hospital.
Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch and Deep Learning Model
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of California, San Diego
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.