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

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

Inclusion Criteria:

• Adults (age >18 years) with a diagnosis of a head and neck, lung, gastrointestinal cancer, that are receiving concurrent chemotherapy and radiation treatment.
• Possession of a mobile device that can receive SMS texts and can deliver FitBit data wirelessly
• Ability read and respond in English
• Ability to provide informed consent to participate in the study

Exclusion Criteria:

• Patients who are bed bound at baseline (ECOG 4)
• Patients who rely on a wheelchair for ambulation