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

Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Phase 2
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
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• 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

Locations
United States
Pennsylvania
Abramson Cancer Center of the University of Pennsylvania
RECRUITING
Philadelphia
Contact Information
Primary
Michell Kim
Michell.Kim@pennmedicine.upenn.edu
215-760-2487
Time Frame
Start Date: 2023-05-22
Estimated Completion Date: 2025-12
Participants
Target number of participants: 70
Treatments
Experimental: Activity Monitoring and ChatBot
Patients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring and utilize a ChatBot
No_intervention: Activity Monitoring without ChatBot
Patients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring alone
Related Therapeutic Areas
Sponsors
Leads: Abramson Cancer Center at Penn Medicine

This content was sourced from clinicaltrials.gov