Ophthalmology clinical data acquisition system and method

Abstract

The invention provides an ophthalmology clinical data acquisition system and method, belonging to the technical field of medical informatization. The ophthalmology clinical data acquisition system includes a patient service platform and a doctor research platform, wherein the patient service platform comprises: a data acquisition module and a background eye disease chronic disease prediction module; and the doctor research platform comprises: a specialist form library, a form selection module, a form entry module, and an eye-disease-guided chronic disease prediction module. The ophthalmology clinical data acquisition system is guided by problems of a patient, integrates the clinical problems of multi-system diseases, realizes the recycling of the research data source, can maximally save the entry time of a clinician, is conducive to the integration of big data integration between different studies, and lays the foundation for the clinical research of ophthalmology.

Description

technical field [0001] The invention belongs to the technical field of medical information technology, and in particular relates to an ophthalmology clinical data collection system and method. Background technique [0002] Along with the gradual shift in lifestyle, the disease spectrum has also changed. The waste caused by non-standard diagnosis and treatment in various industries is also increasing. The reasons for these problems are: my country has a vast territory, many ethnic groups, and abundant clinical resources. Patients with the same disease in different regions and races have completely different manifestations, and there are still many clinical problems that have not been resolved. [0003] To solve the above problems, China urgently needs high-quality clinical research to provide clinical evidence support. High-quality landmark research requires researchers to have high clinical research quality. Doctors in my country conduct research based on clinical problem...

AI Technical Summary

Problems solved by technology

Doctors in my country conduct research based on clinical problems in medical practice are far below those in developed countries. The bottlenecks mainly lie in: 1. Knowledge system: clinicians lack clinical research concepts and methodological knowledge, and the learning curve is long. Own clinical research database

2. Funding: Insufficient funding for clinical research, especially for junior and mid-level young physicians, who lack financial support and usually can only conduct observational research with a small sample size. Even so, it still takes a lot of time to spontaneously collect and organize research data

3. Time: Clinical research requires rigorous and meticulous filling of scientific research forms, similar to the writing of major clinical medical records. In the past, it took at least 15 to 30 minutes to fill out a complete case report, which caused physicians to be exhausted and seriously restricted the clinical research of physicians. enthusiasm

4. The research objects of the previous clinical research system only involved physiological and biochemical data, image information, and disease classification and diagnosis indicators led by doctors, and there were few "complaint symptoms" indicators led by patients

[0004] The eye is the only organ in the human body that can be viewed directly. Ophthalmology is a discipline based on inspection. The eye contains various tissues such as blood vessels, nerves, and collagen. Eye diseases are closely related to various systemic chronic non-infectious diseases. Diagnosis or diagnosis and research systems only involve single disciplines or single system diseases, such as ophthalmology or neurology, etc., and have not yet involved a research system that extends from one discipline to multidisciplinary early warning and diagnosis; moreover, the inquiry system only involves diseases The approximate diagnosis cannot be given to patients with individualized diagnosis and treatment recommendations

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