CDSS of Traditional Chinese Medicine Intervention for Dry Eye Syndrome

Peking University

Status: Unknown

Conditions: Dry Eye Syndromes

Treatments: Other: Routine intervention; Behavioral: Clinical Decision Support System

Study type: Interventional

Funder types: Other

Identifiers

NCT04806256

2020-4-40915

Details and patient eligibility

About

This project is based on artificial intelligence (AI) algorithms to screen the effective methods of traditional Chinese medicine intervention for dry eye and its applicable conditions, and optimize the traditional Chinese medicine intervention plan for dry eye through the evaluation of evidence-based medicine and expert consensus, and construct the Clinical Decision support system of traditional Chinese medicine intervention for dry eye, secondly, a real-world prospective cohort study design is adopted, the CDSS system is used in the ophthalmology clinic, and its practical application effect on patients with dry eye is evaluated.

Full description

Dry eye is a common disease that affects tears and ocular surface. It can cause ocular surface discomfort, visual impairment and even blindness, affect the quality of life of patients and cause social and psychological harm. Interventions related to traditional Chinese medicine can effectively alleviate the clinical symptoms and signs of patients with dry eye, and are an indispensable part of the treatment of dry eye. However, at present, patients with dry eye are mainly diagnosed at the western medicine ophthalmology clinic. Due to the lack of knowledge of Chinese medicine by western medicine ophthalmologists, they are unable to provide patients with good guidance on Chinese medicine intervention measures, which may cause patients to miss Chinese medicine-related treatments. This project provides doctors of Western medicine with a clinical decision support system (CDSS) of Chinese medicine interventions for dry eye syndrome, so as to improve doctors' guidance and decision-making of Chinese medicine for patients. This project is based on artificial intelligence (AI) algorithms to screen the effective methods of traditional Chinese medicine intervention for dry eye and its applicable conditions, and optimize the traditional Chinese medicine intervention plan for dry eye through the evaluation of evidence-based medicine and expert consensus, and construct the Clinical Decision support system of traditional Chinese medicine intervention for dry eye, secondly, a real-world prospective cohort study design is adopted, the CDSS system is used in the ophthalmology clinic, and its practical application effect on patients with dry eye is evaluated.

Enrollment: 120 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. Ages 18 to 80 year-old.
2. Meet the diagnostic criteria for dry eye, including ocular surface symptoms and signs.

Exclusion criteria

1. There are contradictions in diagnostic information, and the real condition of the disease is doubtful;
2. The absence of necessary observation indicators;
3. Lack of necessary prognostic information;
4. The informed consent is not approved.

Trial design

Primary purpose: Supportive Care

Allocation: Non-Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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120 participants in 2 patient groups

CDSS group

Experimental group

Description:

Subjects' treatment regimens were influenced by the CDSS, which was the recommended system for Tradictional Chinese Medicine treatment of dry eye.

Treatment:

Behavioral: Clinical Decision Support System

non-CDSS group

Active Comparator group

Description:

The treatment of the subjects was routine and not affected by the CDSS for Tradictional Chinese Medicine.

Treatment:

Other: Routine intervention