RecruitingPhase 2NCT05318027

ChatBot and Activity Monitoring in Patients Undergoing Chemoradiotherapy

Use of Natural Language Processing ChatBot and Automated Continuous Activity Monitoring Via Mobile Phones for Early Detection and Management of Symptoms in Patients Undergoing Cancer Treatment

Sponsor

Abramson Cancer Center at Penn Medicine

Enrollment

70 participants

Start Date

May 22, 2023

Study Type

INTERVENTIONAL

Conditions

Lung Cancer Head and Neck Cancer Gastrointestinal Cancer

Summary

Evaluate the feasibility of using a chatbot combined with continuous activity monitoring to proactively identify, appropriately triage and help manage patients' symptoms during cancer treatment Determine whether such an early outpatient clinic-based intervention can decrease rates of excess triage visits Correlate changes in activity and early symptom management to emergency department visits, unplanned inpatient hospitalizations and treatment breaks

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study tests whether a smartphone chatbot and activity tracker (Fitbit) can help cancer patients stay active and manage side effects during chemotherapy and radiation treatment. **You may be eligible if...** - You are 18 or older - You have been diagnosed with head and neck, lung, or gastrointestinal cancer - You are currently receiving chemotherapy and radiation at the same time - You own a smartphone that can receive text messages and sync with a Fitbit - You can read and respond in English **You may NOT be eligible if...** - You are completely bedridden and unable to move independently - You rely on a wheelchair to get around Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEChatBot

The automated chatbot will check in with the patient on two pre-specified days between scheduled outpatient visits. The chatbot will follow pre-specified symptom algorithms and classify symptoms as requiring high, intermediate and low risk follow ups. High risk symptoms will trigger a same day nursing/physician visit or telemedicine call/video. Intermediate risk symptoms will trigger a nursing triage visit or telemedicine call/video on the next day or treatment day. Low risk symptoms will notify the treating physician to address the symptoms at the next scheduled on treatment visit (OTV). If adjustments are needed in the chat bot triage algorithms, they will be updated in real time to decrease risk for adverse patient events.