| Presentation | 2018-12-22 A Study on Detecting Anonymized Personal Identifiers including Multiple Individuals in Japanese Health Insurance Claims Data Jumpei Sato, Hiroyuki Yamada, Kazuo Goda, Kitsuregawa Masaru, Naohiro Mitsutake, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Anonymization of medical data helps protect patient identities. However, with conventional anonymized personal identifiers it has potential to be include multiple individuals because these identifiers generated from personal attributes. Herein, to obtain accurate data analytics result from anonymized medical data, we describe the development of a method to classify identifiers which including multiple individuals by using diagnosis and treatment information described in insurance claims. To verify the effectiveness of our method, we developed classifiers by using dataset of insurance claims data and insurance enrollee master data from municipality-administered health insurance programs in Mie Prefecture and demonstrated the validity of our method. Therefore, the proposed method can be used to classify the identifiers which including multiple individuals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anonymization / Personal Identifiers / Insurance Claims Data |
| Paper # | DE2018-27 |
| Date of Issue | 2018-12-14 (DE) |
| Conference Information | |
| Committee | DE / IPSJ-DBS |
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| Conference Date | 2018/12/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Informatics |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akiyo Nadamoto(Konan Univ.) / 吉川 正俊(京大) |
| Vice Chair | Jun Miyazaki(Tokyo Inst. of Tech.) / Shingo Otsuka(Kanagawa Inst. of Tech.) |
| Secretary | Jun Miyazaki(Univ. of Hyogo) / Shingo Otsuka(Univ. of Marketing and Distrbution Science) / (筑波大) |
| Assistant | Kazuo Goda(Univ. of Tokyo) / Hiroaki Shiokawa(Tsukuba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Detecting Anonymized Personal Identifiers including Multiple Individuals in Japanese Health Insurance Claims Data |
| Sub Title (in English) | |
| Keyword(1) | Anonymization |
| Keyword(2) | Personal Identifiers |
| Keyword(3) | Insurance Claims Data |
| 1st Author's Name | Jumpei Sato |
| 1st Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| 2nd Author's Name | Hiroyuki Yamada |
| 2nd Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| 3rd Author's Name | Kazuo Goda |
| 3rd Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| 4th Author's Name | Kitsuregawa Masaru |
| 4th Author's Affiliation | The University of Tokyo(Tokyo Univ.) |
| 5th Author's Name | Naohiro Mitsutake |
| 5th Author's Affiliation | Institute for Health Economics and Policy(IHEP) |
| Date | 2018-12-22 |
| Paper # | DE2018-27 |
| Volume (vol) | vol.118 |
| Number (no) | DE-377 |
| Page | pp.pp.55-60(DE), |
| #Pages | 6 |
| Date of Issue | 2018-12-14 (DE) |