Lung CancerPhase 2NCT05318027
ChatBot and Activity Monitoring in Patients Undergoing Chemoradiotherapy
A Phase 2 study testing ChatBot in people with Lung Cancer and Gastrointestinal Cancer, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Lung Cancer, Gastrointestinal Cancer, Head and Neck Cancer
- What is being tested?
- ChatBot
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 70 participants
- Where
- 1 siteUnited States
- Study dates
- 22 May 2023to Dec 2026
- Phase
- Phase 2
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- Patients who are bed bound at baseline (ECOG 4)
- Patients who rely on a wheelchair for ambulation
Trial locations and contacts
1 site in 1 country.
United States1 site
Abramson Cancer Center of the University of Pennsylvania
Philadelphia, Pennsylvania, 19104
About this study
Official title: 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
- Conditions
- Lung Cancer, Gastrointestinal Cancer, Head and Neck Cancer
- Being tested
- ChatBot
- Medical subject headings
- Lung Neoplasms, Gastrointestinal Neoplasms, Head and Neck Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ChatBotDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| Activity Monitoring and ChatBot | Experimental | Patients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring and utilize a ChatBot Receives: Device: ChatBot |
| Activity Monitoring without ChatBot | No intervention | Patients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring alone |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of triage visits
Difference between Poisson event rates of triage visits between intervention and control arms
Measured: 13 weeks
Secondary outcomes (4)
Count of unplanned inpatient hospitalization
Measured: 13 weeks
Count of treatment breaks
Measured: 13 weeks
Count of emergency department visits
Measured: 13 weeks
Quality of Life scores
Measured: 13 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Apr 2022
- Study start22 May 2023
- Primary completionDec 2026 (estimated)
- Study completionDec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (9)Papers the sponsor has linked to this study.
- Other trials for Lung CancerStudies of the same condition, open and under way.
- More trials run by Abramson Cancer Center at Penn MedicineThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase 2
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 70 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Abramson Cancer Center at Penn Medicine
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Arun Goel, MD, Principal investigator, University of PennsylvaniaKristine Kim, MD, Principal investigator, University of PennsylvaniaNishant Shah, MD, Principal investigator, University of Pennsylvania
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05318027
- Sponsor's protocol ID
- UPCC 18921
- Status last verified
- Mar 2026
- First submitted
- 6 Dec 2021
- Last updated
- 1 Apr 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Uyterlinde W. Overcoming toxicity-challenges in chemoradiation for non-small cell lung cancer. Transl Lung Cancer Res. 2016 Jun;5(3):239-43. doi: 10.21037/tlcr.2016.05.03.
PubMed 27413701Ghosh S, Rao PB, Kumar PR, Manam S. Concurrent Chemoradiation with Weekly Cisplatin for the Treatment of Head and Neck Cancers: an Institutional Study on Acute Toxicity and Response to Treatment. Asian Pac J Cancer Prev. 2015;16(16):7331-5. doi: 10.7314/apjcp.2015.16.16.7331.
PubMed 26514533Haj Mohammad N, Hulshof MC, Bergman JJ, Geijsen D, Wilmink JW, van Berge Henegouwen MI, van Laarhoven HW. Acute toxicity of definitive chemoradiation in patients with inoperable or irresectable esophageal carcinoma. BMC Cancer. 2014 Jan 31;14:56. doi: 10.1186/1471-2407-14-56.
PubMed 24485047Waddle MR, Chen RC, Arastu NH, Green RL, Jackson M, Qaqish BF, Camporeale J, Collichio FA, Marks LB. Unanticipated hospital admissions during or soon after radiation therapy: Incidence and predictive factors. Pract Radiat Oncol. 2015 May-Jun;5(3):e245-e253. doi: 10.1016/j.prro.2014.08.004. Epub 2014 Sep 17.
PubMed 25413398Auperin A, Le Pechoux C, Rolland E, Curran WJ, Furuse K, Fournel P, Belderbos J, Clamon G, Ulutin HC, Paulus R, Yamanaka T, Bozonnat MC, Uitterhoeve A, Wang X, Stewart L, Arriagada R, Burdett S, Pignon JP. Meta-analysis of concomitant versus sequential radiochemotherapy in locally advanced non-small-cell lung cancer. J Clin Oncol. 2010 May 1;28(13):2181-90. doi: 10.1200/JCO.2009.26.2543. Epub 2010 Mar 29.
PubMed 20351327Lang K, Sussman M, Friedman M, Su J, Kan HJ, Mauro D, Tafesse E, Menzin J. Incidence and costs of treatment-related complications among patients with advanced squamous cell carcinoma of the head and neck. Arch Otolaryngol Head Neck Surg. 2009 Jun;135(6):582-8. doi: 10.1001/archoto.2009.46.
PubMed 19528407Beg MS, Gupta A, Stewart T, Rethorst CD. Promise of Wearable Physical Activity Monitors in Oncology Practice. J Oncol Pract. 2017 Feb;13(2):82-89. doi: 10.1200/JOP.2016.016857.
PubMed 28387544McNeely ML, Campbell KL, Rowe BH, Klassen TP, Mackey JR, Courneya KS. Effects of exercise on breast cancer patients and survivors: a systematic review and meta-analysis. CMAJ. 2006 Jul 4;175(1):34-41. doi: 10.1503/cmaj.051073.
PubMed 16818906Fu J, Pepin A, Hollawell C, Tang K, Bryer JS, Munter A, Sinha S, Goel A. Digital symptom monitoring and activity tracking in chemoradiation-lessons from the CAM experience. ESMO Real World Data Digit Oncol. 2026 Jan 23;11:100683. doi: 10.1016/j.esmorw.2026.100683. eCollection 2026 Mar.
PubMed 41930312
Study at a glance
From the registry record, last updated by the sponsor on 1 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT05318027
- Acronym / sponsor ID
- UPCC 18921
- Conditions
- Lung Cancer, Gastrointestinal Cancer, Head and Neck Cancer
- Phase
- Phase 2
- Study type
- Interventional
- Recruitment status
- Active, not recruiting
- Enrolment
- 70 participants (estimated)
- Lead sponsor
- Abramson Cancer Center at Penn MedicineUniversity, hospital or other
- Study start
- 22 May 2023 (actual)
- Primary completion
- Dec 2026 (estimated)
- Study completion
- Dec 2026 (estimated)
- First posted
- 8 Apr 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Activity Monitoring and ChatBot | Experimental | Device: ChatBotPatients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring and utilize a ChatBot |
| Activity Monitoring without ChatBot | No intervention | –Patients will receive standard of care chemotherapy and radiation therapy regimens, activity monitoring alone |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (2 listed)
- Patients who are bed bound at baseline (ECOG 4)
- Patients who rely on a wheelchair for ambulation
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ChatBotThe 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. | Device | Activity Monitoring and ChatBot |
Primary outcome
Number of triage visits
Time frame: 13 weeks
Difference between Poisson event rates of triage visits between intervention and control arms
4 secondary outcomes
Count of unplanned inpatient hospitalization
Time frame: 13 weeks
Count of treatment breaks
Time frame: 13 weeks
Count of emergency department visits
Time frame: 13 weeks
Quality of Life scores
Time frame: 13 weeks
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Apr 2026.
- Background: PubMed 27413701Uyterlinde W. Overcoming toxicity-challenges in chemoradiation for non-small cell lung cancer. Transl Lung Cancer Res. 2016 Jun;5(3):239-43. doi: 10.21037/tlcr.2016.05.03.
- Background: PubMed 26514533Ghosh S, Rao PB, Kumar PR, Manam S. Concurrent Chemoradiation with Weekly Cisplatin for the Treatment of Head and Neck Cancers: an Institutional Study on Acute Toxicity and Response to Treatment. Asian Pac J Cancer Prev. 2015;16(16):7331-5. doi: 10.7314/apjcp.2015.16.16.7331.
- Background: PubMed 24485047Haj Mohammad N, Hulshof MC, Bergman JJ, Geijsen D, Wilmink JW, van Berge Henegouwen MI, van Laarhoven HW. Acute toxicity of definitive chemoradiation in patients with inoperable or irresectable esophageal carcinoma. BMC Cancer. 2014 Jan 31;14:56. doi: 10.1186/1471-2407-14-56.
- Background: PubMed 25413398Waddle MR, Chen RC, Arastu NH, Green RL, Jackson M, Qaqish BF, Camporeale J, Collichio FA, Marks LB. Unanticipated hospital admissions during or soon after radiation therapy: Incidence and predictive factors. Pract Radiat Oncol. 2015 May-Jun;5(3):e245-e253. doi: 10.1016/j.prro.2014.08.004. Epub 2014 Sep 17.
- Background: PubMed 20351327Auperin A, Le Pechoux C, Rolland E, Curran WJ, Furuse K, Fournel P, Belderbos J, Clamon G, Ulutin HC, Paulus R, Yamanaka T, Bozonnat MC, Uitterhoeve A, Wang X, Stewart L, Arriagada R, Burdett S, Pignon JP. Meta-analysis of concomitant versus sequential radiochemotherapy in locally advanced non-small-cell lung cancer. J Clin Oncol. 2010 May 1;28(13):2181-90. doi: 10.1200/JCO.2009.26.2543. Epub 2010 Mar 29.
- Background: PubMed 19528407Lang K, Sussman M, Friedman M, Su J, Kan HJ, Mauro D, Tafesse E, Menzin J. Incidence and costs of treatment-related complications among patients with advanced squamous cell carcinoma of the head and neck. Arch Otolaryngol Head Neck Surg. 2009 Jun;135(6):582-8. doi: 10.1001/archoto.2009.46.
- Background: PubMed 28387544Beg MS, Gupta A, Stewart T, Rethorst CD. Promise of Wearable Physical Activity Monitors in Oncology Practice. J Oncol Pract. 2017 Feb;13(2):82-89. doi: 10.1200/JOP.2016.016857.
- Background: PubMed 16818906McNeely ML, Campbell KL, Rowe BH, Klassen TP, Mackey JR, Courneya KS. Effects of exercise on breast cancer patients and survivors: a systematic review and meta-analysis. CMAJ. 2006 Jul 4;175(1):34-41. doi: 10.1503/cmaj.051073.
- Derived from this study: PubMed 41930312Fu J, Pepin A, Hollawell C, Tang K, Bryer JS, Munter A, Sinha S, Goel A. Digital symptom monitoring and activity tracking in chemoradiation-lessons from the CAM experience. ESMO Real World Data Digit Oncol. 2026 Jan 23;11:100683. doi: 10.1016/j.esmorw.2026.100683. eCollection 2026 Mar.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Arun Goel, MD principal investigator
University of Pennsylvania
Kristine Kim, MD principal investigator
University of Pennsylvania
Nishant Shah, MD principal investigator
University of Pennsylvania
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 2 study testing ChatBot in people with Lung Cancer and Gastrointestinal Cancer, run by Abramson Cancer Center at Penn Medicine at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 1 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 2 studies give the treatment to a larger group to see whether it has the intended effect and to keep checking safety.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of triage visits (time frame: 13 weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05318027, which also lists 9 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Apr 2026.