Taiwan’s national health insurance research database: Past and future

Cheng Yang Hsieh, Chien Chou Su, Shih Chieh Shao, Sheng Feng Sung, Swu Jane Lin, Yea-Huei Kao, Edward Lai

Research output: Contribution to journalReview article

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)349-358
Number of pages10
JournalClinical Epidemiology
Volume11
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

National Health Programs
Databases
Research
Health
Information Storage and Retrieval
Clinical Decision Support Systems
Research Personnel
Computer Security
Electronic Health Records
Privacy
Policy Making
Evidence-Based Medicine
Artificial Intelligence
Health Policy
Taiwan
Language
Delivery of Health Care
Light
Costs and Cost Analysis

All Science Journal Classification (ASJC) codes

  • Epidemiology

Cite this

Hsieh, Cheng Yang ; Su, Chien Chou ; Shao, Shih Chieh ; Sung, Sheng Feng ; Lin, Swu Jane ; Kao, Yea-Huei ; Lai, Edward. / Taiwan’s national health insurance research database : Past and future. In: Clinical Epidemiology. 2019 ; Vol. 11. pp. 349-358.
@article{0e92c977357c47f188a6fbc647a325f7,
title = "Taiwan’s national health insurance research database: Past and future",
abstract = "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.",
author = "Hsieh, {Cheng Yang} and Su, {Chien Chou} and Shao, {Shih Chieh} and Sung, {Sheng Feng} and Lin, {Swu Jane} and Yea-Huei Kao and Edward Lai",
year = "2019",
month = "1",
day = "1",
doi = "10.2147/CLEP.S196293",
language = "English",
volume = "11",
pages = "349--358",
journal = "Clinical Epidemiology",
issn = "1179-1349",
publisher = "Dove Medical Press Ltd.",

}

Taiwan’s national health insurance research database : Past and future. / Hsieh, Cheng Yang; Su, Chien Chou; Shao, Shih Chieh; Sung, Sheng Feng; Lin, Swu Jane; Kao, Yea-Huei; Lai, Edward.

In: Clinical Epidemiology, Vol. 11, 01.01.2019, p. 349-358.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Taiwan’s national health insurance research database

T2 - Past and future

AU - Hsieh, Cheng Yang

AU - Su, Chien Chou

AU - Shao, Shih Chieh

AU - Sung, Sheng Feng

AU - Lin, Swu Jane

AU - Kao, Yea-Huei

AU - Lai, Edward

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85067578466&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067578466&partnerID=8YFLogxK

U2 - 10.2147/CLEP.S196293

DO - 10.2147/CLEP.S196293

M3 - Review article

AN - SCOPUS:85067578466

VL - 11

SP - 349

EP - 358

JO - Clinical Epidemiology

JF - Clinical Epidemiology

SN - 1179-1349

ER -