Discussion on value of medical records-structured specialized disease database based on artificial intelligence in clinical research
10.3969/j.issn.1674-8115.2020.07.022
- VernacularTitle: 基于人工智能的病历后结构化专病数据库在临床研究中的价值探讨
- Author:
Wen-Wen RONG
1
Author Information
1. Statistical Center, Shanghai Chest Hospital, Shanghai Jiao Tong University
- Publication Type:Journal Article
- Keywords:
Artificial intelligence (AI);
Clinical research;
Database;
Structured
- From:
Journal of Shanghai Jiaotong University(Medical Science)
2020;40(7):996-1000
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the value support of medical records-structured specialized disease database established by using unstructured electronic medical record text information in clinical research. Methods: The information of patients who were admitted to a Grade A specialist hospital in Shanghai from Oct. 2007 to Sept. 2019 were collected. By using artificial intelligence (AI) engine and other information methods, the electronic medical record text information were structured into a structured database, and compared with the traditional structured database. Results: The information of 82 584 patients were collected, and the structured number of hospital records was 253 000. The specialized disease databases of lung cancer, esophageal cancer and mediastinal tumor were established. Compared with the traditional structured database, the specialized disease database expanded the scope of data retrieval and improved the efficiency of data retrieval. Conclusion: The construction of medical records-structured specialized disease database based on AI reduces the burden of clinician data retrieval, and provides valuable statistical data for clinical research.
