|
Affiliation |
Faculty of Medicine School of Nursing Integrated clinical nursing course |
|
Title |
Associate Professor |
|
Related SDGs |
|
IZUKURA Rieko
|
|
|
Papers 【 display / non-display 】
-
Tanigawa M., Kohama M., Hirata K., Izukura R., Kandabashi T., Kataoka Y., Nakashima N., Kimura M., Uyama Y., Yokoi H.
Therapeutic Innovation and Regulatory Science 58 ( 4 ) 746 - 755 2024.7
Language：English Publishing type：Research paper (scientific journal) Publisher：Therapeutic Innovation and Regulatory Science
Background: The Medical Information Database Network (MID-NET®) in Japan is a vast repository providing an essential pharmacovigilance tool. Gastrointestinal perforation (GIP) is a critical adverse drug event, yet no well-established GIP identification algorithm exists in MID-NET®. Methods: This study evaluated 12 identification algorithms by combining ICD-10 codes with GIP therapeutic procedures. Two sites contributed 200 inpatients with GIP-suggestive ICD-10 codes (100 inpatients each), while a third site contributed 165 inpatients with GIP-suggestive ICD-10 codes and antimicrobial prescriptions. The positive predictive values (PPVs) of the algorithms were determined, and the relative sensitivity (rSn) among the 165 inpatients at the third institution was evaluated. Results: A trade-off between PPV and rSn was observed. For instance, ICD-10 code-based definitions yielded PPVs of 59.5%, whereas ICD-10 codes with CT scan and antimicrobial information gave PPVs of 56.0% and an rSn of 97.0%, and ICD-10 codes with CT scan and antimicrobial information as well as three types of operation codes produced PPVs of 84.2% and an rSn of 24.2%. The same algorithms produced statistically significant differences in PPVs among the three institutions. Combining diagnostic and procedure codes improved the PPVs. The algorithm combining ICD-10 codes with CT scan and antimicrobial information and 80 different operation codes offered the optimal balance (PPV: 61.6%, rSn: 92.4%). Conclusion: This study developed valuable GIP identification algorithms for MID-NET®, revealing the trade-offs between accuracy and sensitivity. The algorithm with the most reasonable balance was determined. These findings enhance pharmacovigilance efforts and facilitate further research to optimize adverse event detection algorithms.
-
Islam R., To S., Izukura R., Sato Y., Nishikitani M., Kikuchi K., Yokota F., Ikeda S., Islam R., Ahmed A., Miyazaki M., Nakashima N.
Studies in Health Technology and Informatics 310 309 - 313 2024.1
Publishing type：Research paper (scientific journal) Publisher：Studies in Health Technology and Informatics
Portable medical sensors play an important role in healthcare services, especially in rural communities. Many telehealth systems use these devices for providing patients' vital information from a distance to remote doctors. Erroneous data will not only mislead the remote doctor for correct diagnosis but it will cause health threats to these unreached community people. Therefore, it is very important to identify good sensors with an acceptable level of accuracy but within the affordable price of the available sensors in the market. This study aims to identify quality portable cholesterol sensors with high accuracy with the reference of the Japanese clinical pathology laboratory as a gold standard. We have considered cholesterol sensors that measure total cholesterol for this study that are commonly used in the developing countries of Asia. We found that out of four, three of them were very much erroneous and cannot be recommended even for primary healthcare.
DOI： 10.3233/SHTI230977
-
Maruf R.I., Tou S., Izukura R., Sato Y., Nishikitani M., Kikuchi K., Yokota F., Ikeda S., Islam R., Ahmed A., Miyazaki M., Nakashima N.
Computer Methods and Programs in Biomedicine Update 5 2024.1
Publishing type：Research paper (scientific journal) Publisher：Computer Methods and Programs in Biomedicine Update
Background and Objective: One of the primary challenges faced by telehealth systems is the accurate transmission of patient information to remote doctors. In this context, portable medical sensors deployed at the remote patients' end play a crucial role in measuring vital information. There are many sensors available in the market. However, the accuracy of the sensors has been always a concern. The objective of this study is to verify different sensors and create awareness for using accurate sensors to avoid misdiagnosis for the patients’ safety. Methods: This study considered the test result of a Japanese clinical pathology laboratory as the reference gold standard. The clinical pathology laboratory uses 1) Hexokinase UV method for blood glucose, 2) Enzymatic Determination method for cholesterol, 3) Automatic Analyzer (EDTA-2 K) of Hemoglobin, and 4) Uricase POD method for uric acid. To assess the performance of a medical sensor, its test results were compared to the gold standard test results obtained from the laboratory using the same sample. A Normalized Root Mean Square Error (NRMSE) threshold of less than 0.2 was established as the criterion for determining whether the medical sensor's performance fell within an acceptable range. Results: Among the eight most commonly used blood glucose devices in the Asian market, only one device was deemed acceptable with NRMSE less than 0.2. However, all four devices found in the Japanese market showed their acceptability. In the case of cholesterol, hemoglobin, and uric acid devices, only a limited number of items were available in Asian markets. Some of the hemoglobin and uric acid devices were found to be somewhat acceptable, while all the cholesterol sensors were found erroneous. Conclusions: This study has clearly shown the issues with the portable medical sensors and recommends the device approval authority of each country to approve sales of the quality sensors only for patients’ safety.
-
Impact of MID-NET<sup>®</sup> on Data Driven Clinical Project in Japan Reviewed
YAMASHITA Takanori, IZUKURA Rieko, NOJIRI Chinatsu, TAKADA Atsushi, HOTTA Taeko, KANG Dongchon, NAKASHIMA Naoki
Regulatory Science of Medical Products 14 ( 1 ) 131 - 139 2024
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Society for Regulatory Science of Medical Products
In Japan, Medical Information Database NETwork (MID-NET<sup>®</sup>) is a database that collects and analyzes medical information, such as electronic medical records, on a large scale to promote advanced safety measures for pharmaceuticals and other products using medical big data. It is managed and operated by the Pharmaceuticals and Medical Devices Agency. In this study, we examined the problems encountered by each medical institution along with their solutions, focusing on activities related to data standardization and data quality control, which are needed for extensive usage of medical information, including MID-NET<sup>®</sup> data. MID-NET<sup>®</sup> implemented data quality management since FY2013 as part of preparations for full operation. Data quality management is important for integrated analysis of medical data by multiple institutions, and one of them is standardized code mapping. We developed governance methods for the purpose of improving the medical master quality of cooperating institutions with MID-NET. The proposals of governance results were feedback to each institution, and full operation of the governance was started from August 2020. A tool was developed and automated for the extraction of difference medical master of each institution. Based on the classified results by governance center, the most optimal standardized code was proposed by the medical profession and feedback to each facility monthly. Further studies are needed in order to increase the registration rate after the proposal of standardization code. Standard codes are expected to be more efficient and accurate when managed upstream, such as in the department systems of each institution, rather than managed by each project.
DOI： 10.14982/rsmp.14.131
-
化学療法を受けた高齢肺がんサバイバーのフレイルとQuality of Lifeとの関連(原著論文) Reviewed
伊豆倉 理江子, 金岡 麻希, 野末 明希, 内田 倫子, 木下 由美子
インターナショナルNursing Care Research 22巻2号 11 - 20 2023.11
Publishing type：Research paper (scientific journal)
Grant-in-Aid for Scientific Research 【 display / non-display 】
-
消化器がんをもつ糖尿病高齢者に特異的な糖尿病セルフ・マネジメントモデルの基盤構築
Grant number：24K13746 2024.04 - 2028.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Principal investigator
-
直腸がん術後患者のQOLの維持・向上を目指す実装可能なCGA活用型支援モデル構築
Grant number：23K27888 2023.04 - 2027.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(B)
Authorship：Coinvestigator(s)
-
直腸がん術後患者のQOLの維持・向上を目指す実装可能なCGA活用型支援モデル構築
Grant number：23H03198 2023.04 - 2027.03
独立行政法人日本学術振興会 科学研究費補助金 基盤研究(B)
Authorship：Coinvestigator(s)
-
新しいがん予防行動支援モデル構築への挑戦：がんサバイバー家族へのアプローチ法探索
Grant number：22K19689 2022.06 - 2025.03
独立行政法人日本学術振興会 科学研究費基金 挑戦的研究(萌芽)
Authorship：Coinvestigator(s)
-
クリニカルパスと診療記録を用いたLHSの実践と臨床応用評価
Grant number：22K10416 2022.03 - 2026.03
独立行政法人日本学術振興会 科学研究費基金 基盤研究(C)
Authorship：Coinvestigator(s)