ClinicalTrials.gg
RecruitingNCT07917351Updated Nov 4, 2026

AI-Assisted Whole-Course Management for Medication Safety and Healthcare Burden in Advanced Solid Tumors: A Prospective Controlled Study

An interventional study of Oncology Intelligent Management Software and Conventional Offline Follow-up Group in Digital Health and Artificial Intelligence (AI), sponsored by Tianjin Medical University Second Hospital. Recruiting at 2 sites in China. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-04.

Sponsored by Tianjin Medical University Second Hospital · Not applicable, Interventional, and Supportive care

From the registry’s dates

  • Started Oct 2026; still recruiting 1 month later.
Updated Nov 4, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
420
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study summary

This is a prospective, single-center, controlled real-world study in patients with advanced solid tumors (stage III-IV) receiving chemotherapy, targeted therapy, immunotherapy, or endocrine therapy. Participants who choose the digital management group use a smartphone-based oncology management application with medication reminders, AI-assisted laboratory report interpretation, adverse event self-reporting, and clinician alerts for critical values. Participants who choose the conventional group receive routine outpatient follow-up and telephone contact without digital tools. The study follows participants for 12 months to compare the incidence of overall and severe (CTCAE grade ≥3) adverse events, emergency department visits, 30-day readmission, dose reduction, treatment delay/missed doses, and time to adverse event recovery. The aim is to evaluate whether a digital whole-course management model improves medication safety, reduces healthcare burden, and supports treatment adherence in advanced cancer care.

02

Conditions studied

  • Digital Health
  • Artificial Intelligence (AI)

Keywords

  • Digital health
  • Artificial Intelligence
03

In context

Lead sponsor

Tianjin Medical University Second Hospital is the lead sponsor of 60 studies on the registry; 36 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. or cytologically confirmed malignant tumor, scheduled to receive or currently receiving systemic anticancer therapy (chemotherapy, targeted therapy, immunotherapy, or endocrine therapy).
  2. Age ≥18 years.
  3. For the digital management group: able to independently use a smartphone to scan a QR code to log in, photograph and upload laboratory reports, and complete online forms; for the control group: able to communicate by telephone and attend outpatient visits.
  4. Expected survival ≥12 months.
  5. Able to understand the study and provide written .
  6. Receiving regular home oral or cyclic intravenous anticancer treatment and requiring long-term out-of-hospital follow-up.
  7. Able to complete 12 months of follow-up.

Exclusion criteria

Exclusion Criteria:

  1. Pregnant or breastfeeding women.
  2. Severe cognitive impairment or severe psychiatric illness precluding independent follow-up or causing extremely poor adherence.
  3. End-stage multi-organ failure or moribund condition with expected survival \<12 months.
  4. Receiving only palliative supportive care, with no planned standard anticancer drug treatment.
  5. Other conditions judged by the investigator as unsuitable for this study.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Histologically or cytologically confirmed

The diagnosis was confirmed by looking at a sample under a microscope: tissue from a biopsy or surgery (histology), or cells from a fluid or needle sample (cytology).

Your pathology report is the document that shows this.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
420 participants (estimated)

Study arms

  • Experimental
    Digital Management Group

    Participants use a smartphone-based oncology management app for the entire 12-month follow-up: medication check-in with missed-dose reminders; photo upload and AI-assisted interpretation of laboratory reports with critical-value alerts to clinicians; CTCAE 5.0-based adverse event self-reporting with severity-triggered clinician notification; monthly online follow-up questionnaires; and a dedicated module for clinical trial participants.

    Other: Oncology Intelligent Management Software

  • Active comparator
    Conventional Follow-up Group

    Participants receive routine outpatient follow-up and intermittent telephone contact per standard departmental practice. No digital reminders, no AI-assisted laboratory interpretation, no home-based adverse event self-reporting, and no real-time critical-value alerts.

    Other: Conventional Offline Follow-up Group

Interventions

  • OtherOncology Intelligent Management Software

    A self-developed application integrating medication adherence reminders, AI-assisted laboratory interpretation, adverse event self-reporting, critical-value clinician alerts, monthly electronic follow-up, and clinical trial participant tracking.

  • OtherConventional Offline Follow-up Group

    The conventional management group reflects routine departmental practice: outpatient appointment-based follow-up, unstructured telephone follow-up, offline review of outside laboratory reports, passive reporting of adverse events at clinic visits or emergency department presentations, and no digital medication adherence reminders or real-time clinician alerts.

06

What researchers measure

Primary outcomes

  1. Incidence of any-grade adverse events

    Proportion of participants experiencing any antineoplastic-related adverse event, graded by NCI CTCAE 5.0.

    Time frame: Within 24 months of enrollment.

  2. Incidence of severe adverse events (CTCAE grade ≥3)

    Proportion of participants experiencing grade ≥3 bone marrow suppression, gastrointestinal events, rash, liver injury, or other CTCAE grade ≥3 events.

    Time frame: Within 24 months of enrollment

Secondary outcomes

  1. Emergency department visit rate due to anticancer treatment-related adverse events

    Proportion of participants with at least one emergency department visit due to an anticancer treatment-related adverse event during follow-up. Data source: medical records and participant-reported events confirmed by the study site.

    Time frame: 12 months after enrollment

  2. 30-day readmission rate related to anticancer treatment-related adverse events

    Among participants with at least one hospitalization related to an anticancer treatment-related adverse event, proportion readmitted within 30 days after discharge. Each discharge is followed for 30 days.

    Time frame: 12 months after enrollment; each readmission assessed within 30 days after discharge

  3. Incidence of anticancer drug dose reduction due to adverse events

    Proportion of participants requiring at least one reduction in anticancer drug dose due to an adverse event, as documented in the medical record.

    Time frame: 12 months after enrollment

  4. Incidence of treatment delay due to adverse events

    Proportion of participants with at least one anticancer treatment cycle delayed or temporarily interrupted due to an adverse event.

    Time frame: 12 months after enrollment

  5. Incidence of missed anticancer doses

    Among participants receiving oral anticancer therapy, proportion with at least one missed dose during follow-up, based on app check-in records (intervention group) or self-report/outpatient records (control group).

    Time frame: 12 months after enrollment

  6. Median time to adverse event recovery

    Median time from onset of an eligible adverse event to recovery of symptoms and/or laboratory abnormality to baseline or CTCAE grade ≤1, estimated using Kaplan-Meier methods. Adverse events are graded by NCI CTCAE 5.0.

    Time frame: From adverse event onset to recovery, assessed up to 12 months after enrollment

  7. Monthly mean number of missed oral anticancer doses

    Mean number of missed oral anticancer doses per participant per month, calculated from app check-in records (intervention group) or self-report/outpatient records (control group).

    Time frame: Monthly for 12 months after enrollment

  8. Protocol adherence rate among clinical trial participants (exploratory)

    Among participants concurrently enrolled in a clinical trial, proportion who complete protocol-specified treatment cycles and scheduled assessments without major protocol deviation, as documented by the site.

    Time frame: 12 months after enrollment

  9. Protocol deviation incidence among clinical trial participants (exploratory)

    Among participants concurrently enrolled in a clinical trial, proportion with at least one protocol deviation, classified by type and relationship to the digital management intervention.

    Time frame: 12 months after enrollment

07

Study locations

2 of 2 sites recruiting
  • Tianjin Medical Unversity Second Hospital
    Tianjin, Tianjin Municipality 300211, China
    Recruiting
    • Haitao Wang, Ph.D · Contactpeterrock2000@126.com · +86-022-88321190
    • Lili Wang, Ph.D · Contactwangliliaigang@163.com · +86-022-88321185
    • Haitao Wang, Ph.D · Principal investigator
    • Lili Wang, Ph.D · Sub investigator
    • Dingkun Hou, Ph.D · Sub investigator
    • Jinhuan Wang, Ph.D · Sub investigator
    • Hongzheng Li, M.M. · Sub investigator
  • Department of Oncology, Tianjin Medical University Second Hospital
    Tianjin, Tianjin Municipality, China
    Recruiting
08

References and documents

Individual participant data

Plan to share: No — The study protocol does not include a pre-specified plan or dedicated funding for sharing individual participant data with external researchers. Data will be maintained by the sponsor and participating sites in accordance with the approved informed consent and local regulatory requirements. This statement may be updated if a data sharing plan is established at a later stage.

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 4, 2026
Show all 1 update
  1. Nov 4, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07917351
Lead sponsor
Tianjin Medical University Second Hospital
Responsible party
Sponsor
First posted
Nov 4, 2026
Start date
Oct 1, 2026
Primary completion
Oct 1, 2027 (estimated)
Completion
Aug 31, 2028 (estimated)
Last update
Nov 4, 2026

Study contacts

Haitao Wang, Ph.D
Contact
peterrock2000@126.com
+86-022-88321190
Lili Wang, Ph.D
Contact
wangliliaigang@163.com
+86-022-88321185
Haitao Wang, Ph.D
principal investigator · Tianjin Medical University Second Hospital

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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