TY - JOUR
T1 - The application and future of big database studies in cardiology
T2 - A single-center experience
AU - Lee, Kuang Tso
AU - Hour, Ai Ling
AU - Shia, Ben Chang
AU - Chu, Pao Hsien
N1 - Publisher Copyright:
© 2017, Republic of China Society of Cardiology. All rights reserved.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women’s heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.
AB - As medical research techniques and quality have improved, it is apparent that cardiovascular problems could be better resolved by more strict experiment design. In fact, substantial time and resources should be expended to fulfill the requirements of high quality studies. Many worthy ideas and hypotheses were unable to be verified or proven due to ethical or economic limitations. In recent years, new and various applications and uses of databases have received increasing attention. Important information regarding certain issues such as rare cardiovascular diseases, women’s heart health, post-marketing analysis of different medications, or a combination of clinical and regional cardiac features could be obtained by the use of rigorous statistical methods. However, there are limitations that exist among all databases. One of the key essentials to creating and correctly addressing this research is through reliable processes of analyzing and interpreting these cardiologic databases.
KW - Big database
KW - Cardiovascular diseases
KW - National Health Insurance Research Database (NHIRD)
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U2 - 10.6515/ACS20170331B
DO - 10.6515/ACS20170331B
M3 - Review article
AN - SCOPUS:85034633506
SN - 1011-6842
VL - 33
SP - 581
EP - 587
JO - Acta Cardiologica Sinica
JF - Acta Cardiologica Sinica
IS - 6
ER -