Taiwan's National Health Insurance Research Database: past and future

被引:933
作者
Hsieh, Cheng-Yang [1 ,2 ]
Su, Chien-Chou [1 ]
Shao, Shih-Chieh [1 ,3 ]
Sung, Sheng-Feng [4 ,5 ,6 ]
Lin, Swu-Jane [7 ]
Yang, Yea-Huei Kao [1 ]
Lai, Edward Chia-Cheng [1 ,8 ]
机构
[1] Natl Cheng Kung Univ, Inst Clin Pharm & Pharmaceut Sci, Sch Pharm, Coll Med, 1,Univ Rd, Tainan 701, Taiwan
[2] Tainan Sin Lau Hosp, Dept Neurol, Tainan, Taiwan
[3] Chang Gung Mem Hosp, Dept Pharm, Keelung, Taiwan
[4] Chiayi Christian Hosp, Div Neurol, Dept Internal Med, Ditmanson Med Fdn, Chiayi, Taiwan
[5] Natl Chung Cheng Univ, Dept Informat Management, Chiayi, Chiayi, Taiwan
[6] Natl Chung Cheng Univ, Inst Healthcare Informat Management, Chiayi, Chiayi, Taiwan
[7] Univ Illinois, Coll Pharm, Dept Pharm Syst Outcomes & Policy, Chicago, IL USA
[8] Natl Cheng Kung Univ Hosp, Dept Pharm, Tainan, Taiwan
关键词
Health and Welfare Data Center of Taiwan; real-world data; big data analysis; validation; database cross-linkage; ADVERSE DRUG-REACTIONS; STROKE SEVERITY INDEX; ISCHEMIC-STROKE; RISK-FACTORS; ASSOCIATION; VALIDATION; MULTICOUNTRY; PERFORMANCE; INHIBITORS; INFECTION;
D O I
10.2147/CLEP.S196293
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Taiwan's National Health Insurance Research Database (NHIRD) exemplifies a population-level data source for generating real-world evidence to support clinical decisions and health care policy-making. Like with all claims databases, there have been some validity concerns of studies using the NHIRD, such as the accuracy of diagnosis codes and issues around unmeasured confounders. Endeavors to validate diagnosed codes or to develop methodologic approaches to address unmeasured confounders have largely increased the reliability of NHIRD studies. Recently, Taiwan's Ministry of Health and Welfare (MOHW) established a Health and Welfare Data Center (HWDC), a data repository site that centralizes the NHIRD and about 70 other health-related databases for data management and analyses. To strengthen the protection of data privacy, investigators are required to conduct on-site analysis at an HWDC through remote connection to MOHW servers. Although the tight regulation of this on-site analysis has led to inconvenience for analysts and has increased time and costs required for research, the HWDC has created opportunities for enriched dimensions of study by linking across the NHIRD and other databases. In the near future, researchers will have greater opportunity to distill knowledge from the NHIRD linked to hospital-based electronic medical records databases containing unstructured patient-level information by using artificial intelligence techniques, including machine learning and natural language processes. We believe that NHIRD with multiple data sources could represent a powerful research engine with enriched dimensions and could serve as a guiding light for real-world evidence-based medicine in Taiwan.
引用
收藏
页码:349 / 358
页数:10
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