Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School Common Graduate Courses (Doctoral Course)
Lecture Code 8E550451 Subject Classification Common Graduate Courses
Subject Name 医療情報リテラシー活用[オンデマンド]
Subject Name
(Katakana)
イリョウジョウホウリテラシーカツヨウ[オンデマンド]
Subject Name in
English
Utilization of data Literacy in Medicine[On-Demand]
Instructor TANAKA JUNKO,ABE SHINICHI,YOSHIMURA KENICHI,MIHARA NAOKI,MIKI DAIKI,KUBO TATSUHIKO,OUE NAOHIDE
Instructor
(Katakana)
タナカ ジュンコ,アベ シンイチ,ヨシムラ ケンイチ,ミハラ ナオキ,ミキ ダイキ,クボ タツヒコ,オオウエ ナオヒデ
Campus Kasumi Semester/Term 1st-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Thur11-12:Online
Lesson Style Lecture Lesson Style
(More Details)
 
Utilization of data Literacy in Medicine will be held as an Online lecture.
There are lectures delivered on-demand and live stream.
For on-demand lectures, please take the lecture within one week from the scheduled lecture date.
In the case of live stream lecture, please be sure to attend during the scheduled lecture time.
Only if you cannot take the live lecture on time, you can receive the recorded lecture.  
Credits 1.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 7 : Graduate Special Studies
Course Area(Area) 27 : Health Sciences
Course Area(Discipline) 01 : Medical Sciences
Eligible Students 博士課程後期
Keywords Big data, Genome information, Medical research, Clinical research, Information security, Ethics 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
This course is one of the elective subjects, in "Career Development and Data Literacy Courses", Common Graduate Courses that aims to learn about the development of the current social systems, to gain knowledge needed for the future, to specifically tackle the challenges facing modern society and to acquire the ability to use knowledge and skills. 
Criterion referenced
Evaluation
 
Class Objectives
/Class Outline
To learn basic explanations about the knowledge required to process medical information, as well as information security, ethics, etc. 
Class Schedule lesson1 Classifications and outlines of large medical databases such as National Data Base (NDB)
lesson2 Literacy in the clinical research data interpretation
lesson3 Classifications of genomic information, merits, demerits and usefulness for research using genomic information
lesson4 Issues in utilization of Real World Data in the Medical Field: In the viewpoint of “Hospital Information Systems"
lesson5 Overview of cancer genome information and challenges
lesson6 How to establish standard clinical data set during emergencies
lesson7 TBD
lesson8 Data / AI in Healthcare Field: Application, Future prospect and challenging points (Lecturer: A head of Google
Cloud Japan, Mr.Abe)

Only report 
Text/Reference
Books,etc.
Handout 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Review handout 
Requirements This course is subject to the priority adoption request form for course registration of Common Graduate Courses (Doctoral Course).All students are eligible to take these classes, but there are a limited number of places. Priority will be given to those who have filled out a request form because they are unable to take the course during the regular hours. Remaining places will be allocated on the basis of a random computerized draw. Please check the following URL for details.
https://momiji.hiroshima-u.ac.jp/momiji-top/en/learning/cgcinfo-d-1.html 
Grading Method Attendance, Report
Submit report every time by using Microsoft FORMS.
The URL for Microsoft FORMS will be posted on Bb9. 
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it A head of EMNES will give a lecture of big data and AI technology in health care field. 
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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