Specialty

Health Information Management

Works

Research reports

1 Nishio A, Tsuji M, Hoshi Kata　H.　Literature Review on Patient Survey.　Health , Labour and Welfare Sciences Research Grants　Policy Science Synthesis Research.　Research contributing to the establishment of efficient methods for conducting patient surveys.(PI: Hoshi K. 21AB1001) Report on Health Labor Science Research Grant 2022. p.15-22

2 Nishio A, Hoshi K, Kimura E, Sato Y, Tashiro T, Yamakami H, et al. Health, Labour and Welfare Sciences Research Grants Policy Science Synthesis Research.Investigating the efficiency of ICD coding of patient survey principal injury/illness names using ICT tools. (PI: Hoshi K. 21AB1001) Report on Health Labor Science Research Grant 2022. p.64-81

Original papers

1 Nishio A, Kimura E, Seto R, Sato Y, Hoshi K, Mizushima H, et al. [Assessment of Consistency in the 11th Revision of the International Statistical Classification of Diseases and related health problems (ICD-11) field trial coding results.］Journal of the National Institute of Public Health. 2021;70(3):306-314. (in Japanese)

Reviews

1 Nishio A, Seto R. [Research Trends in Health Information Management Departments in “”Health Information Management””‐Text Mining using a Literature‐.] Health Information Management. 2021;33(2):50-54. (in Japanese)

Conference presentations

1 Nishio A, Kimura E, Seto R, Sato Y, Mizushima H. The Survey for Determining Knowledge-Related Problems in the Dissemination of ICD-11. Studies in Health Technology and Informatics. 2019;264:1865-1866.

2 Sato Y, Nishio A, Kimura E, Ogata H, Mizushima H. An evaluation of gold standards in line coding -ICD-11 field trial in Japan-. WHO-FIC Network Annual Meeting; 2019.10.6-11; Canada. Poster. C319.

3 Nishio A, Hoshi K, Ueno S, Sato Y. International Comparison of Educational Implementation in ICD-11 Implementation. The 81st Annual of Japanese Society of Public Health.2022.10.7-9. (in Japanese)

4 Hoshi K, Toyoda A, Kimura E, Ueno S, Sato Y, Nishio A ,et al. Research contributing to the establishment of efficient methods for conducting patient surveys. The 81st Annual of Japanese Society of Public Health.2022.10.7-9. (in Japanese)

5 Sato Y, Hoshi K, Sangu K, Sangu Y, Ueno S, Nishio A, et al. Correspondence between the 16 classifications of dental disease names used in the Japanese patient survey and the ICD-11 code. WHO-FIC 2022 ANNUAL MEETING; 2022.10.17-21; Web. WHO-FIC Poster Booklet. poster num.315.

6 Hoshi K, Toyota A, Sato Y, Kimura E, Ueno S, Nishio A, et al. Future application of ICD-11 codes on the diagnostic names of sickness or injury in nationwide patient surveys in Japan. WHO-FIC 2022 ANNUAL MEETING; 2022.10.17-21; Web. WHO-FIC Poster Booklet. poster num.316.