Tokushima University / Educator and Researcher Directory --- Tagi, Masato

Field of Study

Subject of Study

Book / Paper

Book:

1.	Masato Tagi : 個人情報保護法, 篠原出版新社, Aug. 2022.
2.	Masato Tagi : 個人情報保護法, 篠原出版新社, Jan. 2020.

Academic Paper (Judged Full Paper):

1.	Masato Tagi, Mari Tajiri, Yasuhiro Hamada, Yoshifumi Wakata, Xiao Shan, Kazumi Ozaki, Masanori Kubota, Sosuke Amano, Hiroshi Sakaue, Yoshiko Suzuki and Jun Hirose : Accuracy of an Artificial Intelligence-Based Model for Estimating Leftover Liquid Food in Hospitals: Validation Study., JMIR Formative Research, Vol.6, No.5, e35991, 2022. (Summary) An accurate evaluation of the nutritional status of malnourished hospitalized patients at a higher risk of complications, such as frailty or disability, is crucial. Visual methods of estimating food intake are popular for evaluating the nutritional status in clinical environments. However, from the perspective of accurate measurement, such methods are unreliable. The accuracy of estimating leftover liquid food in hospitals using an artificial intelligence (AI)-based model was compared to that of visual estimation. The accuracy of the AI-based model (AI estimation) was compared to that of the visual estimation method for thin rice gruel as staple food and fermented milk and peach juice as side dishes. A total of 576 images of liquid food (432 images of thin rice gruel, 72 of fermented milk, and 72 of peach juice) were used. The mean absolute error, root mean squared error, and coefficient of determination (R) were used as metrics for determining the accuracy of the evaluation process. Welch t test and the confusion matrix were used to examine the difference of mean absolute error between AI and visual estimation. The mean absolute errors obtained through the AI estimation approach were 0.63 for fermented milk, 0.25 for peach juice, and 0.85 for the total. These were significantly smaller than those obtained using the visual estimation approach, which were 1.40 (P<.001) for fermented milk, 0.90 (P<.001) for peach juice, and 1.03 (P=.009) for the total. By contrast, the mean absolute error for thin rice gruel obtained using the AI estimation method (0.99) did not differ significantly from that obtained using visual estimation (0.99). The confusion matrix for thin rice gruel showed variation in the distribution of errors, indicating that the errors in the AI estimation were biased toward the case of many leftovers. The mean squared error for all liquid foods tended to be smaller for the AI estimation than for the visual estimation. Additionally, the coefficient of determination (R) for fermented milk and peach juice tended to be larger for the AI estimation than for the visual estimation, and the R value for the total was equal in terms of accuracy between the AI and visual estimations. The AI estimation approach achieved a smaller mean absolute error and root mean squared error and a larger coefficient of determination (R) than the visual estimation approach for the side dishes. Additionally, the AI estimation approach achieved a smaller mean absolute error and root mean squared error compared to the visual estimation method, and the coefficient of determination (R) was similar to that of the visual estimation method for the total. AI estimation measures liquid food intake in hospitals more precisely than visual estimation, but its accuracy in estimating staple food leftovers requires improvement. (Tokushima University Institutional Repository) ● Metadata: 117555 (Link to Publication Site) ● Publication site (DOI): 10.2196/35991 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 35536638 ● Search Scopus @ Elsevier (PMID): 35536638 ● Search Scopus @ Elsevier (DOI): 10.2196/35991 (Tokushima University Institutional Repository: 117555, DOI: 10.2196/35991, PubMed: 35536638)
2.	Kenta Yagi, Yasutaka Sato, Satoshi Sakaguchi, Mitsuhiro Goda, Hirofumi Hamano, Fuka Aizawa, Mayuko Shimizu, Arisa Inoue-Hamano, Toshihide Nishimori, Masato Tagi, Marina Kanno, Rie Matsuoka-Ando, Toshihiko Yoshioka, Yoshiko Matstubara, Yuki Izawa-Ishizawa, Rieko Shimizu, Akinori Maruo, Yurika Kuniki, Yoshika Sakamoto, Sayuri Itobayashi, Yoshito Zamami, Hiroaki Yanagawa and Keisuke Ishizawa : A web-based survey of educational opportunities of medical professionals based on changes in conference design during the COVID-19 pandemic., Education and Information Technologies, Vol.27, 10371-10386, 2022. (Summary) The online version contains supplementary material available at 10.1007/s10639-022-11032-5. (Link to Publication Site) ● Publication site (DOI): 10.1007/s10639-022-11032-5 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 35464114 ● Search Scopus @ Elsevier (PMID): 35464114 ● Search Scopus @ Elsevier (DOI): 10.1007/s10639-022-11032-5 (DOI: 10.1007/s10639-022-11032-5, PubMed: 35464114)
3.	Jun Hirose, Yoshifumi Wakata, Masato Tagi and Yuu Tamaki : The role of medical informatics in the management of medical information, The Journal of Medical Investigation : JMI, Vol.67, No.1,2, 27-29, 2020. (Summary) With progress in information and communication technology, medical information has been converted to digital formats and stored and managed using computer systems. The construction, management, and operation of medical information systems and regional medical liaison systems are the main components of the clinical tasks of medical informatics departments. Research using medical information accumulated in these systems is also a task for medical informatics department. Recently, medical real-world data (RWD) accumulated in medical information systems has become a focus not only for primary use but also for secondary uses of medical information. However, there are many problems, such as standardization, collection, cleaning, and analysis of them. The internet of things and artificial intelligence are also being applied in the collection and analysis of RWD and in resolving the above problems. Using these new technologies, progress in medical care and clinical research is about to enter a new era. J. Med. Invest. 67 : 27-29, February, 2020. (Tokushima University Institutional Repository) ● Metadata: 114749 (Link to Publication Site) ● Publication site (DOI): 10.2152/jmi.67.27 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 32378614 ● Summary page in Scopus @ Elsevier: 2-s2.0-85084327048 (Tokushima University Institutional Repository: 114749, DOI: 10.2152/jmi.67.27, PubMed: 32378614, Elsevier: Scopus)
4.	Takeshi Konishi, Tadashi Kondo, Hiroki Moriguchi, Masato Tagi and Jun Hirose : Accelerated organ region segmentation by the revised radial basis function network using a graphics processing unit., The Journal of Medical Investigation : JMI, Vol.66, No.1.2, 86-92, 2019. (Summary) This study aimed to accelerate the segmentation of organs in medical imaging with the revised radial basis function (RBF) network, using a graphics processing unit (GPU). We segmented the lung and liver regions from 250 chest x-ray computed tomography (CT) images and 160 abdominal CT images, respectively, using the revised RBF network. We compared the time taken to segment images and their accuracy between serial processing by a single-core central processing unit (CPU), parallel processing using four CPU cores, and GPU processing. Segmentation times for lung and liver organ regions shortened to 57.80 and 35.35 seconds for CPU parallel processing and 20.16 and 11.02 seconds for GPU processing, compared to 211.03 and 124.21 seconds for CPU serial processing, respectively. The concordance rate of the segmented region to the normal region in slices excluding the upper and lower ends (173 lung and 111 liver slices) was 98% for lung and 96% for liver. The use of CPU parallel processing and GPU shortened the organ segmentation time in the revised RBF network without compromising segmentation accuracy. In particular, segmentation time was shortened to less than 10%with GPU. This processing method will contribute to workload reduction in imaging analysis. J. Med. Invest. 66 : 86-92, February, 2019. (Tokushima University Institutional Repository) ● Metadata: 113295 (Link to Publication Site) ● Publication site (DOI): 10.2152/jmi.66.86 (Link to Search Site for Scientific Articles) ● PubMed @ National Institutes of Health, US National Library of Medicine (PMID): 31064962 ● Search Scopus @ Elsevier (PMID): 31064962 ● Search Scopus @ Elsevier (DOI): 10.2152/jmi.66.86 (Tokushima University Institutional Repository: 113295, DOI: 10.2152/jmi.66.86, PubMed: 31064962)
5.	Masato Tagi, Yuu Tamaki, Tomiaki Morikawa, Munehide Matsuhisa and Hiroki Moriguchi : The Behavior Modification to the Lifestyle by Healthy Condition Visualization which Utilized NFC Communication Pedometer, Japan Journal of Medical Informatics, Vol.34, No.6, 281-291, 2015. (Summary) To record individual body weight and physical activity has been shown to be beneficial for maintaining personal health. We, therefore, established a system which connects a personal computer and health appliances to record body weight, daily step, and blood pressure. We applied this system to 226 employees in 3 companies during the period of October, 2011-March, 2013 and evaluated whether this system could improve individual behavioral modification. One hundred sixty seven persons (73.9%) had continuously recorded the measurement of the pedometer for at least one year. We compared the average of the first three months with the average of the next three months. As a result, the number of steps tended to increase to 7,515±4,629 steps from 7,299±3,731steps (p=0.075). As for blood pressure, the systolic phase significantly decreased from 129.2±13.2 mmHg to 127.1±13.5 mmHg (p=0.028), and diastolic phase decreased from 78.6±9.8 mmHg to 76.0±9.9 mmHg (p=0.00016). BMI also significantly decreased from 23.3±2.9 kg/m2 to 23.2±2.8 kg/m2(p=0.029). In conclusion, to record daily step, body weight and blood pressure by using newly established system improved individual behavior towards a healthy condition. (Keyword) NFC communication pedometer / Healthcare administration / Visualization / Behavioral modification / Lifestyle improvement (Link to Publication Site) ● Publication site (DOI): 10.14948/jami.34.281 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1390001205751456384 ● Search Scopus @ Elsevier (DOI): 10.14948/jami.34.281 (DOI: 10.14948/jami.34.281, CiNii: 1390001205751456384)
6.	Tomiaki Morikawa, Hiroki Moriguchi, Takaaki Nose, Masato Tagi, 裕子大岡 and 石山由紀子 : 徳島大学病院における個人情報保護対策プライバシーマーク認証取得のための組織的アプローチ, The Journal of Japan Society for Health Care Management, Vol.8, No.2, 369-374, 2007. (Keyword) 個人情報保護 / プライバシーマーク / e-Learning / privacy information protection / privacy mark (Link to Publication Site) ● Publication site (DOI): 10.11191/jhm2006.8.369 (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1520290884295545216 ● Search Scopus @ Elsevier (DOI): 10.11191/jhm2006.8.369 (DOI: 10.11191/jhm2006.8.369, CiNii: 1520290884295545216)

Academic Paper (Unrefereed Paper):

1.	吉田誠治, 大村和弘, 奥田興司, 小谷裕輔, 木谷豪希, 北村和之, 佐々木宗明, Masato Tagi, 中野まどか, 並川正和, 乗松篤, 藤原邦彦 and 渡辺崇史 : 【社会基盤としての医療情報の役割】『医療情報技師育成事業のあり方を考える』-これまでの10年を振り返ってこれからの10年を展望する-, Japan Journal of Medical Informatics, Vol.43, No.1, 21, 2023.

Proceeding of International Conference:

1.	Konishi Takeshi, Nakamura Yoko, Masato Tagi, Hachiro Nakagawa, Ken-ichiro Shimai, Setoguchi Yoko and Hiroki Moriguchi : Development and Evaluation of Web-based Learning Management System with UN SIAP for Government Statisticians in Asia and the Pacific, E-Learn 2013 World Conference on E-Learning, Las Vegas, Oct. 2013.
2.	Takeshi Konishi, Bayanmunkh Battulga, Masato Tagi, Yoko Tamura, Yuu Tamaki, AHMAD AMMAR GHAIBEH, Ken-ichiro Shimai and Hiroki Moriguchi : Evaluation of Multimedia Protocol for Distance Medical Education using the Wideband InterNetworking Satellite, E-LEARN 2012 - World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education, Montreal, Oct. 2012.
3.	Bayanmunkh Battulga, Takeshi Konishi, Ken-ichiro Shimai, Hideki Uehara, 田村陽子, Masato Tagi and Hiroki Moriguchi : The effectiveness of 3DCG for distance education via satellite network between Mongolia and Japan, The 5th Asia Telemedicine Symposium Kyushu University Hospital, Fukuoka, Nov. 2011.
4.	Bayanmunkh Battulga, Takeshi Konishi, Ken-ichiro Shimai, Hideki Uehara, 田村陽子, Masato Tagi and Hiroki Moriguchi : The effectiveness of 3DCG model for medical education, World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2011, 30-34, Honolulu, Oct. 2011.
5.	Tatsuya Okada, Tomiaki Morikawa, Yuu Tamaki, Masato Tagi, Hiroki Moriguchi, Yoshiyasu Terashima, Hiroaki Mikasa, Masashi Akaike and Yoneo Yano : Scenario making support in PBL, E-Learn 2009, Vancouver, Oct. 2009.

Proceeding of Domestic Conference:

1.	鳥飼幸太, Masato Tagi and 橋本智広 : IT-BCPをどう実現するか, 医療情報学連合大会論文集 43回, 171-172, Nov. 2023.
2.	鳥飼幸太, Masato Tagi and 橋本智広 : 医療機関におけるサイバー攻撃対応のための事業継続計画(BCP)の普及に向けた研究, 医療情報学連合大会論文集 43回, 174, Nov. 2023.
3.	Masato Tagi, Xiao Shan, 岸上雅哉, 境貴司, 加藤裕司, Kazuo Okura and Jun Hirose : ランサムウェアによるサイバー攻撃に備えた病院情報システムのバックアップシステムの構築, 医療情報学連合大会論文集 43回, 973-974, Nov. 2023.
4.	Xiao Shan, Masato Tagi, 小西健史, Hiroyasu Mori, Munehide Matsuhisa and Jun Hirose : AIを用いた糖尿病患者に対する食事提案システムの開発, 医療情報学連合大会論文集 43回, 995-997, Nov. 2023.
5.	吉田誠治, 大村和弘, 奥田興司, 小谷裕輔, 木谷豪希, 北村和之, 佐々木宗明, Masato Tagi, 中野まどか, 並川正和, 乗松篤, 藤原邦彦 and 渡辺崇史 : 四国医療情報技師会の歩みとこれから, 第42回医療情報学連合大会, Nov. 2022.
6.	Masato Tagi, 田尻真梨, Yasuhiro Hamada, Yoshifumi Wakata, Xiao Shan, Kazumi Ozaki, 久保田雅則, 天野宗佑 and Jun Hirose : Clinical validation of an AI-based system for estimating intake hospital liquid food, 第41回医療情報学連合大会, Nov. 2021.
7.	Masato Tagi, 田尻真梨, Yasuhiro Hamada, Yoshifumi Wakata, Xiao Shan, Kazumi Ozaki, 久保田雅則, 天野宗佑 and Jun Hirose : Validation of an AI-based model for estimating leftover liquid food in hospitals, 日本医療情報学会春季学術大会, Vol.25, 70-71, Jun. 2021.
8.	Masato Tagi, Yuu Tamaki, Yoshifumi Wakata and Jun Hirose : NetFlowデータを活用した院内通信の可視化と自動解析アラート機能検証によるセキュリティー対策評価, 第39回医療情報学連合大会, Nov. 2019.
9.	Akiyo Kanazawa, Masato Tagi, Takahiro Yoshida, Mitsuo Shimada, Akemi Nakano and Tomoko Takagai : クリニカルパス支援体制の構築, 平成29年度大学病院情報マネジメント部門連絡会議, 116-117, Jan. 2018.
10.	Masato Tagi, Yuu Tamaki, Munehide Matsuhisa and Hiroki Moriguchi : FeliCa通信歩数計を活用した健康データ見える化による行動変容, 医療情報学連合大会論文集, Vol.34, 506-507, Nov. 2014.
11.	Masato Tagi, Yuu Tamaki, Akio Kuroda, Munehide Matsuhisa and Hiroki Moriguchi : 報酬手段を利用した生活習慣改善の試み∼歩数量に応じたポイント付与∼, 日本糖尿病情報学会年次学術集会, Vol.14, Aug. 2014.
12.	Hwa In, Akio Kuroda, Yuu Tamaki, Masato Tagi, Hiroki Moriguchi, Toshio Matsumoto, Yuichi Fujinaka, 安藝宏信, Tomiaki Morikawa and Munehide Matsuhisa : ITを活用した徳島県糖尿病医療連携システム構築のこころみ, 日本先進糖尿病治療研究会雑誌, Vol.9, 47, Jan. 2014.
13.	Takeshi Konishi, Hachiro Nakagawa, Yohko Nakamura, Masato Tagi, Ken-ichiro Shimai, Yuu Tamaki and Hiroki Moriguchi : 国連アジア太平洋統計研修所(SIAP)との連携による各国の統計職員向けe-Learningシステムの開発と評価, 第33回医療情報連合大会論文集, Vol.33, 378-381, Nov. 2013.
14.	清奈帆美, 藤井香, 高橋綾, 大貫亮, 松本可愛, Masato Tagi, 中澤仁, 森川富昭, 中野冠, 湊宣明 and 河邊博史 : 大学生におけるPHRを使用した健康管理での意識・行動の変化, 医療情報学連合大会論文集, Vol.33, 1230-1232, Nov. 2013.
15.	Yuu Tamaki, Masato Tagi, Ken-ichiro Shimai, Munehide Matsuhisa and Hiroki Moriguchi : 1-A-8 徳島県における病病・病診連携システムの構築(企業事例交流会(2)), 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, Sep. 2013.
16.	Takeshi Konishi, Byanmunkh Battulga, Masato Tagi, 田村陽子, Yuu Tamaki, Ken-ichiro Shimai and Hiroki Moriguchi : 衛星「きずな」(WINDS)を用いた衛星回線の医療分野における通信システムとしての評価, 医療情報学連合大会論文集, Vol.32, 638-641, Nov. 2012.
17.	Masato Tagi, Yuu Tamaki, Munehide Matsuhisa, Ken-ichiro Shimai and Hiroki Moriguchi : ICTを活用した健康データの見える化による行動変容に関する研究, 医療情報学連合大会論文集, Vol.32, 518-519, Nov. 2012.
18.	Masato Tagi, Yuu Tamaki, Ken-ichiro Shimai and Hiroki Moriguchi : 部署別看護辞書の構築~医療辞書の活用から見た看護オリジナル辞書作成の有用性検証~, 医療情報学連合大会論文集, Vol.31, 432-433, Nov. 2011.
19.	Bayanmunkh Battulga, Ken-ichiro Shimai, Takeshi Konishi, Masato Tagi, Yuu Tamaki and Hiroki Moriguchi : e-Learningにおけるインタラクティブ3DCGの開発と評価, 医療情報学連合大会論文集, Vol.31, 388-391, Nov. 2011.
20.	Atsushi Kimura, Ken-ichiro Shimai, Takeshi Konishi, Yuu Tamaki, Masato Tagi and Hiroki Moriguchi : 災害時対応薬剤識別支援システムの開発と評価, 医療情報学連合大会論文集, Vol.31, 209-211, Nov. 2011.
21.	Masato Tagi : PHSを用いた院内連絡体制の改善, 第30回医療情報学連合大会プログラム・抄録集, 271, Nov. 2010.
22.	Hideki Uehara, Tomiaki Morikawa, Yuu Tamaki, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : ナースコールログとタイムスタディデータ分析による看護支援, 第30回医療情報学連合大会プログラム・抄録集, 305, Nov. 2010.
23.	Tatsuya Okada, Tomiaki Morikawa, Yuu Tamaki, Masato Tagi, Hiroki Moriguchi, Yoshiyasu Terashima, Hiroaki Mikasa, Masashi Akaike and Yoneo Yano : PBLにおけるシナリオ作成支援, 医療情報学連合大会論文集29回, 913-914, Nov. 2009.
24.	Masato Tagi, Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki and Hiroki Moriguchi : プライバシーマーク取得後の病院情報システムのセキュリティ評価, 医療情報学連合大会論文集29回, 835-836, Nov. 2009.
25.	Tomiaki Morikawa, Yuu Tamaki, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : 診療報酬請求業務の見直し医事業務改善, 医療情報学連合大会論文集29回, 698-699, Nov. 2009.
26.	Masato Tagi, Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Misao Miyagawa, 菊恵木田 and Hiroki Moriguchi : 看護業務量分析システムの構築と評価, 医療情報学連合大会論文集29回, 1058-1059, Nov. 2009.
27.	Tatsuya Okada, Tomiaki Morikawa, Yuu Tamaki, Masato Tagi, Kazuyoshi Kawazoe and Hiroki Moriguchi : 薬品の使用履歴に基づいた薬品情報配信システムの構築と評価, 医療情報学連合大会論文集29回, 1108-1109, Nov. 2009.
28.	Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Masato Tagi and Hiroki Moriguchi : 病院情報システムの運用・管理におけるヘルプデスクの仕組みと評価, 日本医療情報学連合大会論文集29回, 1056-1057, Nov. 2009.
29.	Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Masato Tagi and Hiroki Moriguchi : 電子カルテ・オーダリングシステムと連携した医事業務適正化の取組み, 第13回日本医療情報学会春季学術大会, 55, Jun. 2009.
30.	Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Masato Tagi, 洋子鈴記, Misao Miyagawa, Sachiko Kondo, 裕子大岡 and Hiroki Moriguchi : PDCAサイクルに基づいたキャリア開発支援システムの構築, 第13回日本医療情報学会春季学術大会, 49, Jun. 2009.
31.	是松英恵, Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Masato Tagi, Hiroki Moriguchi and Yoneo Yano : e-Learning上での学習者への気づき支援に関する研究, 医療情報学連合大会論文集28回, Nov. 2008.
32.	Yuu Tamaki, Tomiaki Morikawa, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : 診療科別辞書を用いた入力支援, 医療情報学連合大会論文集28回, Nov. 2008.
33.	Tomiaki Morikawa, Tatsuya Okada, Yuu Tamaki, Masato Tagi, 洋子鈴記, Misao Miyagawa, Sachiko Kondo, 裕子大岡 and Hiroki Moriguchi : PDCAサイクルに基づいたキャリア開発支援システムの構築, 医療情報学連合大会論文集28回, Nov. 2008.
34.	Tatsuya Okada, Tomiaki Morikawa, Yuu Tamaki, Masato Tagi and Hiroki Moriguchi : 広域災害医療情報システムの構築, 医療情報学連合大会論文集28回, Nov. 2008.
35.	Yuu Tamaki, Tomiaki Morikawa, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : 脳卒中地域連携パスによる地域医療連携システムの構築, 医療情報学連合大会論文集28回, Nov. 2008.
36.	Masato Tagi, Yuu Tamaki, Tatsuya Okada, Tomiaki Morikawa, Hiroki Moriguchi and 中村敏己 : レジメンオーダの導入と抗がん剤調整一元化の評価, 医療情報学連合大会論文集28回, Nov. 2008.
37.	Tatsuya Okada, Tomiaki Morikawa, Yuu Tamaki, Masato Tagi, Kazuyoshi Kawazoe, 伏谷秀治, Kazuo Minakuchi and Hiroki Moriguchi : 薬品の使用履歴に基づいた薬品情報配信システムの構築と評価, 医療情報学連合大会論文集28回, Nov. 2008.
38.	Tomiaki Morikawa, Yuu Tamaki, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : 電子カルテオーダリングシステムと連携した医事業務適正化の取り組み, 医療情報学連合大会論文集28回, Nov. 2008.
39.	Masato Tagi, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo and Hiroki Moriguchi : 治験患者のスクリーニング支援システムの構築と評価, 医療情報学連合大会論文集27回, 285-286, Nov. 2007.
40.	長尾隆宏, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Masato Tagi, Hiroki Moriguchi and Yoneo Yano : 診療科別医療辞書の構築, 医療情報学連合大会論文集27回, 704-705, Nov. 2007.
41.	西原香子, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Hiroki Moriguchi, Masato Tagi, 正智恵 and 大友英里 : データ分析に基づいた徳島大学病院の肺癌パスの有効性の検討, 医療情報学連合大会論文集27回, 761-764, Nov. 2007.
42.	Tatsuya Okada, Tomiaki Morikawa, Sachiko Kondo, Masato Tagi, 杉原浩美 and Hiroki Moriguchi : 地域医療連携システムの導入と評価, 医療情報学連合大会論文集27回, 893-894, Nov. 2007.
43.	Tomiaki Morikawa, Sachiko Kondo, Masato Tagi, Hiroki Moriguchi and Yoneo Yano : Podcasting用マルチメディア教材作成支援システムの構築, 医療情報学連合大会論文集27回, 1373-1374, Nov. 2007.
44.	Sachiko Kondo, Tomiaki Morikawa, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : 褥瘡評価システムの構築, 医療情報学連合大会論文集27回, 304-305, Nov. 2007.
45.	Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Masato Tagi and Hiroki Moriguchi : 大学病院で動かす仕組み病院情報システム稼動に向けて, 医療情報学連合大会論文集27回, 437-440, Nov. 2007.
46.	Sachiko Kondo, Tomiaki Morikawa, Tatsuya Okada, Masato Tagi and Hiroki Moriguchi : NIC/NOCの実績データの評価分析, 医療情報学連合大会論文集27回, 476-477, Nov. 2007.
47.	正智恵, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Hiroki Moriguchi, Masato Tagi, 西原香子 and 大友英里 : NIC・NOCで示される看護記録を導入したクリティカルパスシステムの有用性の評価, 医療情報学連合大会論文集27回, 478-481, Nov. 2007.
48.	大友英里, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Hiroki Moriguchi, Masato Tagi, 杉原浩美, 正智恵 and 西原香子 : まちの保健室のコンテンツ提供の有用性の検討, 医療情報学連合大会論文集27回, 550-553, Nov. 2007.
49.	Masato Tagi, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo and Hiroki Moriguchi : 徳島大学病院におけるレジメンオーダの導入と評価, 医療情報学連合大会論文集27回, 1146-1147, Nov. 2007.
50.	是松英恵, Tomiaki Morikawa, Tatsuya Okada, Sachiko Kondo, Masato Tagi, Hiroki Moriguchi, 長尾隆宏 and Yoneo Yano : 学習者への気づき支援とその評価, 医療情報学連合大会論文集27回, 1265-1268, Nov. 2007.
51.	Hiroki Moriguchi, Tomiaki Morikawa, Masato Tagi and Takaaki Nose : 徳島大学病院における個人情報保護対策, 日本医療マネンジメント学会雑誌, Vol.8, No.2, Sep. 2007.
52.	Takaaki Nose, Tomiaki Morikawa, Masato Tagi, Hiroki Moriguchi, 鈴記洋子 and 大岡裕子 : 看護におけるキャリア開発支援システムの構築と評価, 第25回医療情報学連合大会, 237, Nov. 2005.
53.	Tomiaki Morikawa, Takaaki Nose, Masato Tagi, Hiroki Moriguchi and 宮川操 : 安全管理に関するe-Learningシステムの構築と評価:第25回医療情報学連合大会:P241, 第25回医療情報学連合大会, 241, Nov. 2005.
54.	Tomiaki Morikawa, Takaaki Nose, Masato Tagi and Hiroki Moriguchi : 人間ドック成績判定及び事後指導区分に関するガイドラインを導入した人間ドックシステムの構築と運用評価, 第25回医療情報学連合大会, 211, Nov. 2005.
55.	鈴記洋子, 裕子大岡, Hiroki Moriguchi, Tomiaki Morikawa, Masato Tagi and Takaaki Nose : キャリア開発支援とQMSを担保する看護職員の力量評価システムの開発, 医療マネジメント学会誌, Vol.6, No.1, 217, Jun. 2005.
56.	Masato Tagi, Hiroki Moriguchi, Tomiaki Morikawa and 宮川操 : インシデントレポートの集計・分析システムの構築, 医療情報学24回連合大会論文集, 654-655, Nov. 2004.

Et cetera, Workshop:

1.	鳥飼幸太, 木村映善 and Masato Tagi : 医療サイバー用IT-BCPのチェックリスト検討, 第52回中国四国医療情報学研究会, Mar. 2024.
2.	Masato Tagi : 徳島大学におけるセキュリティ対策の実際, 第50回中国四国医療情報学研究会, Mar. 2023.
3.	Masato Tagi : 入院患者の食事量を自動判定するシステムの研究開発, 日本医療情報学会九州・沖縄支部会2021年度秋期研究会, Oct. 2021.
4.	Masato Tagi, Jun Hirose, Yoshifumi Wakata and Xiao Shan : Visualization of the hospital network flow and the security alert function by automatic analysis of NetFlow data : Evaluation of the usefulness of security system, 月刊新医療, Vol.47, No.11, 38-41, Nov. 2020. (Link to Search Site for Scientific Articles) ● CiNii @ National Institute of Informatics (CRID): 1523669555798364544 (CiNii: 1523669555798364544)
5.	Jun Hirose, Yoshifumi Wakata, Masato Tagi and Xiao Shan : With Corona時代の医療情報担当部門の医学部卒前教育・業務支援のありかた∼徳島大学の取組み∼, Sep. 2020.
6.	Ken-ichiro Shimai, 岸上雅哉 and Masato Tagi : 災害時の発災直後の安否確認災害対策本部支援システム, 日本医療情報学会第31回中国四国医療情報学研究会, Sep. 2013.

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Assistant Professor : Tagi, Masato

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Grants-in-Aid for Scientific Research (KAKEN Grants Database @ NII.ac.jp)