The goal of this observational study is to learn about the practical considerations for having health care providers respond in real-time to abnormalities detected remotely for patients recovering from cystectomy following discharge from the hospital. Participants will be asked to wear a wearable fitness tracker (e.g., Fitbit) and answer a daily brief questionnaire on their smartphone. The main question\[s\] the investigators aims to answer are: * Is it practical to have health care providers respond in real-time to abnormal biomarkers collected using fitness trackers for patients recovering from cystectomy? * Can we identify early biomarker signatures (e.g. using heart rate, pulse oximetry, respiratory rate, etc.) that can predict adverse events that lead to hospital readmissions? Participants will * Set up and use a Fitbit Sense 2 device for up to 2 weeks prior to surgery and again for 30 days following discharge after their surgical hospitalization. * Download and complete questionnaires in a smartphone application for up to 2 weeks prior to surgery and again for 30 days following discharge after their surgical hospitalization. * Trigger automated alerts when abnormal biometric data (from the Fitbit device) or concerning survey responses are detected. * Receive contact from a health care provider within 24 hours of an automated alert being generated.
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Proportion of participants who remain in the study from enrollment until trial completion (participant retention)
Timeframe: From enrollment to 30 days post-discharge following cystectomy hospitalization
Participant wearable electronic device adherence
Timeframe: From day of discharge following cystectomy hospitalization to 30 days post-discharge