ChatBot and Activity Monitoring in Patients Undergoing Chemoradiotherapy
NCT05318027 · Status: ACTIVE_NOT_RECRUITING · Phase: PHASE2 · Type: INTERVENTIONAL · Enrollment: 70
Last updated 2026-04-01
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
Conditions
Interventions
- DEVICE
-
ChatBot
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.
Sponsors & Collaborators
-
Abramson Cancer Center at Penn Medicine
lead OTHER
Principal Investigators
-
Arun Goel, MD · University of Pennsylvania
-
Kristine Kim, MD · University of Pennsylvania
-
Nishant Shah, MD · University of Pennsylvania
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-05-22
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- United States
Study Locations
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