Abstract
In recent years, clinical research has shifted from interventional/experimental studies to an observational approach using vast amounts of medical data, which is expected to contribute to health promotion or disease prevention. However, such data are often insufficient for observational studies, particularly for describing “phenotypes” (i.e., an organism’s observable physical properties or characteristics), because the data were originally produced and accumulated for routine work, such as medical service fee claims.
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References
Kimura E (2018) Considerations of the observational research database utilizing real world data. J Natl Inst Public Health 67(2):179–190
Pharmaceuticals and Medical Devices Agency (2018). Pharmaceuticals and Medical Devices Safety Information No. 351. http://www.pmda.go.jp/files/000223348.pdf#page=4. Accessed 23 Nov 2018
Pharmaceuticals and Medical Devices Agency. MIHARI Archive (In Japanese). http://www.pmda.go.jp/safety/surveillance-analysis/0007.html. Accessed 23 Nov 2018
Ishiguro C, Takeuchi Y, Yamada K, Komamine M, Uyama Y (2015) The progress of MIHARI: medical information for risk assessment initiative project in PMDA and new paradigm of pharmaco-vigilance in Japan. Jpn J Pharmacoepidemiol 20(1):3–13
Pharmaceuticals and Medical Devices Agency. MID-NET (Medical Information Database Network) (In Japanese). https://www.pmda.go.jp/safety/mid-net/0001.html. Accessed 23 Nov 2018
Izukura R, Nohara Y, Yamashita T, Hamada H, Suzuki K, Fukuyama S, Matsumoto K, Park J, Takada A, Wakata Y, Kandabashi T, Nakanishi Y, Uyama Y, Nakashima N (2018) Establishment of phenotyping to detect the diseases using the structured data on hospital information system. In: Poster presented at: 22nd Japan association for medical informatics, 21–23 June 2018, Nigata
Acknowledgements
This study was supported by Japan Agency for Medical Research and Development (AMED) Grant Number 17mk0101088h0001: Research on data characterization and outcome validation for promoting phamacoepidemiological study utilizing MID-NET® for benefit-risk assessments. This contents was presented at the 22nd Japan Association for Medical Informatics conference in 2018 [6].
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This trial was approved by the Ethics Review Committee of Kyushu University (29-167).
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Izukura, R. (2022). A Phenotyping Study Using MID-NET Database. In: Nakashima, N. (eds) Epidemiologic Research on Real-World Medical Data in Japan. SpringerBriefs for Data Scientists and Innovators, vol 2. Springer, Singapore. https://doi.org/10.1007/978-981-19-1622-9_10
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DOI: https://doi.org/10.1007/978-981-19-1622-9_10
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