1.Introduction to the International Medical Informatics Association.
Healthcare Informatics Research 2013;19(3):151-153
No abstract available.
Medical Informatics
2.Knowledge Structure of Korean Medical Informatics: A Social Network Analysis of Articles in Journal and Proceedings.
Senator JEONG ; Soo Kyoung LEE ; Hong Gee KIM
Healthcare Informatics Research 2010;16(1):52-59
OBJECTIVES: This study aimed at exploring the knowledge structure of Korean medical informatics. METHODS: We utilized the keywords, as the main variables, of the research papers that were presented in the journal and symposia of the Korean Society of Medical Informatics, and we used, as cases, the English titles and abstracts of the papers (n = 915) published from 1995 through 2008. N-grams (bigram to 5-gram) were extracted from the corpora using the BiKE Text Analyzer, and their cooccurrence networks were generated via a cosine correlation coefficient, and then the networks were analyzed and visualized using Pajek. RESULTS: With the hub and authority measures, the most important research topics in Korean medical informatics were identified. Newly emerging topics by three-year period units were observed as research trends. CONCLUSIONS: This study provides a systematic overview on the knowledge structure of Korean medical informatics.
Medical Informatics
3.A Selective Encryption Algorithm Based on AES for Medical Information.
Ju Young OH ; Dong Il YANG ; Ki Hwan CHON
Healthcare Informatics Research 2010;16(1):22-29
OBJECTIVES: The transmission of medical information is currently a daily routine. Medical information needs efficient, robust and secure encryption modes, but cryptography is primarily a computationally intensive process. Towards this direction, we design a selective encryption scheme for critical data transmission. METHODS: We expand the advandced encrytion stanard (AES)-Rijndael with five criteria: the first is the compression of plain data, the second is the variable size of the block, the third is the selectable round, the fourth is the optimization of software implementation and the fifth is the selective function of the whole routine. We have tested our selective encryption scheme by C++ and it was compiled with Code::Blocks using a MinGW GCC compiler. RESULTS: The experimental results showed that our selective encryption scheme achieves a faster execution speed of encryption/decryption. In future work, we intend to use resource optimization to enhance the round operations, such as SubByte/InvSubByte, by exploiting similarities between encryption and decryption. CONCLUSIONS: As encryption schemes become more widely used, the concept of hardware and software co-design is also a growing new area of interest.
Medical Informatics
4.Use of the united theory of acceptance and use of technology model to study information communication technology- adoption in five Saudi Arabian private hospitals
Journal of University of Malaya Medical Centre 2015;18(2):1-7
We conducted a multi-institutional case study to identify the issues associated with the adoption of information
and communication technology (ICT) in five private care hospitals in the Kingdom of Saudi Arabia. We conducted
interviews with 37 respondents primarily comprising IT professionals.
We found that there were three determinants of behavioural intentions in this case study: organisation
objectives, facilitating conditions and social influence where there are no effects of performance expectancy
or effort expectancy. In all five cases, none of the moderators (age, gender, experience and voluntariness) in
the original united theory of acceptance and use of technology model were considered critically important
by IT professionals. In the present paper, all qualitative elements such as themes, patterns and overarching in
the data were analysed to reach a conclusion. In addition, the various perspectives of using ICT are discussed.
Medical Informatics
5.Medical Informatics as a New Entry to Health-related School: Some Approaches for Organizational Setting.
Journal of Korean Society of Medical Informatics 1999;5(1):1-10
Medical Informatics (MI) as an area of the science is relatively new, expanding its application domains, gaining more attention on its practical capability from people in the health field, and thus raising the issue of establishing a proper educational setting in schools. To provide some guiding information for those who intend or plan to have an educational body in their school, this paper attempts to explore a general framework where MI roots and the contents that MI deals with, while referencing historical backgrounds and establishments related to MI education in other countries. Having in mind those exploration, it tries to devise several organizational alternatives for MI education with consideration of Korea's given reality of school environments. for each alternative, some pros and cons are discussed, but no choice or preference to any of those alternatives is suggested, because the author believes the reality keeps varying and changing in our society.
Education
;
Humans
;
Medical Informatics*
6.At the Interface between Medical Informatics and Personalized Medicine: The eMERGE Network Experience.
Healthcare Informatics Research 2013;19(2):67-68
No abstract available.
Humans
;
Medical Informatics
7.Medical Education and Informatics.
Journal of the Korean Academy of Family Medicine 1999;20(1):23-33
No abstract available.
Education, Medical*
;
Informatics*
8.Surveying the real situation in management the medical information at 7 poor communes of Nam Dong mountain district, Thua Thien - Hue
Journal of Practical Medicine 2005;515(7):9-11
Studying the reality of management of medical information in 7 poor communes of Nam Dong mountain district, Thua Thien – Hue. Results showed that: commune people’s committees and district medical centers had been supervised and directed but not regularly, medical information management was not yet put into monthly workplan of local authority. Medical activities have been written almost in books, tables, statistical reports at commune medical stations, but the writing was inadequate as required. The equipment for management of medical information at medical stations were deficient. The system of medical workers in hamlets had worked not effectively.
Medical Informatics
;
Poverty
9.Application of Excel programs of Fisher exact probability test for medical data.
Qing-shan CHEN ; Wei WANG ; Pei-xian LIN ; Qian-hong ZHONG ; Shou-yi YU
Journal of Southern Medical University 2009;29(4):791-793
OBJECTIVETo accomplish the computation of Fisher exact probability test for fourfold table data in Excel.
METHODThe computing program of exact probability method for medical data in fourfold table design was edited by employing the IF statement and the relevant functions, such as SUM, FACT, DSUM, etc in Excel. The computational results are compared and evaluated according to the case studies.
RESULTSThe output of Fisher Exact Probability was generated and presented correctly following the input of four numerical values into the computation program in the setting of Excel. The parametric outcomes are in agreement with those produced by SAS and SPSS, in the combination tables containing the P value, two-tailed cumulative P value, left-tailed P-value, right-tailed P-value, Chi2 values and P values both for direct Chi-squared test and corrected Chi-squared test.
CONCLUSIONSDirect Chi-squared test, corrected Chi-squared test combined with Fisher Exact Probability test for fourfold table data can be conveniently, rapidly, and accurately accomplished in Excel.
Medical Informatics ; Probability ; Software