Hamid Reza Samzadeh, Ph.D
Assistant professor, Department of Health Information Sciences
Contacts:
Phone number: 0098-34- 31325147
Email: h_samzadeh@kmu.ac.ir
Hamid Reza Samzadeh is a faculty member of Health Information sciences group in management and Information sciences school of Kerman University of Medical Sciences and Health Services.
Educational biography point of view: Hamid Reza Samzadeh was accepted to associate degree in medical record course on 1997. (1376, persian calendar). he passed courses untill master degree. Then, on 1384 he started Faculty Soldier Course in Kerman University of Medical Sciences and Health Services up to 1388.
Next he was accepted for PhD course in shahid beheshti university of Medical Sciences and Health Services in tehran (Iran). after that he started scholarship courses here ( in this university ).
He have teaching experience and Executive experience and to somehow in research.
The title of his dissertation was : Developing an evaluation Model for Hospital Emergency Information System
In his dissertation, according to Nature and attributes of Emergency services, Information Systems must support the activities of EMS(Emergency services). For utility and usefulness of its Information Systems he try to search some models about evaluating and merge them according to EMS and deliver a model for evaluating of EMS Information Systems for Iran.
SKILLS
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The ability to efficiently and accurately perform a variety of detailed clerical and record keeping tasks
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The ability to demonstrate a knowledge of confidentiality and patient privacy
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The ability to accurately perform a variety of detailed data entries into a computer system
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The ability to demonstrate a working knowledge of alphabetic and numeric filing
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The ability to demonstrate effective and efficient time management
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The ability to communicate effectively and concisely on the telephone or directly with other individuals
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The ability to comprehend and perform oral and written instructions and procedures
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The ability to perform assignments with minimal supervision