This study is a researcher-initiated, multi-center, prospective, two-arm interventional randomized controlled study across the country. It aims to explore whether an Internet of Things-based RIS system can enhance the medical experience of patients with radiation-induced oropharyngeal mucositis during the diagnosis and treatment process among head and neck cancer patients undergoing radiotherapy.
After signing the informed consent form, patients who meet the inclusion/exclusion criteria will be randomly assigned in a 1:1 ratio to the experimental group (using the RIS system group) and the control group (not using the RIS system group), with a total of 110 patients recruited. Subjects randomized to the experimental group will be managed and followed up using the RIS system based on Internet of Things technology from the start of radiotherapy until one year after radiotherapy. Subjects randomized to the control group will be treated and followed up using the current clinical routine management model. The treatment period refers to the time from the start of radiotherapy to one month after the end of radiotherapy. During this period, patients are treated according to the standard treatment methods for head and neck malignancies (concurrent chemoradiotherapy, induction chemotherapy followed by concurrent chemoradiotherapy, or radiotherapy alone, chemotherapy alone). In the experimental group, the RIS system is used for auxiliary management. After the start of radiotherapy, the three modules of the system (one-way output module, two-way interaction module, and public science popularization module) are used to manage patients until the end of the treatment period. The one-way output module management mainly transmits information to patients through the database, providing them with relevant suggestions such as precautions and psychological counseling. The two-way interaction module management mainly conducts interactive information exchange through artificial intelligence programs, providing patients with personalized and real-time life advice or precautions. The public science popularization module conducts science popularization education for the public and patients through popular science works.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
110
The RIS system based on the Internet of Things consists of three aspects: one-way output management of the large database of head and neck tumors, two-way interaction management of artificial intelligence applications, and popular science dissemination for the general public.
Nanfang hospital, Southern medical university
Guangzhou, Guangdong, China
Huizhou Central People's Hospital
Huizhou, Guangdong, China
Jieyang people's hospital
Jieyang, Guangdong, China
Meizhou People's Hospital, Meizhou Academy of Medical Sciences Meizhou
Meizhou, Guangdong, China
the satisfaction of patients
We use the patient satisfaction scale designed by us for the information age to assess patients' satisfaction during the diagnosis and treatment period.
Time frame: Through study completion, up to 3 years
The response rate of the processing
The proportion of questions raised by the patients that were answered
Time frame: Through study completion, up to 3 years
Evaluation of response validity
The effectiveness score of the responses received to the patient's questions
Time frame: Through study completion, up to 3 years
The compliance rate of patients following the recommendations
The proportion of patients who followed the response advice and actually carried out the suggested actions
Time frame: Through study completion, up to 3 years
Doctor satisfaction
The satisfaction of doctors in the patient management process
Time frame: Through study completion, up to 3 years
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