Written by Narjes Mirabootalebi, RahelehMalaekeh, Hamidreza Mahboobi
Parent Category: Year 2012, Volume 4
Category: Year 2012, Volume 4, Issue 3, September-December 2012
Introduction: Today, different information systems are operated in hospitals in Iran to manage the admission, discharge, radiology, pharmacy, accounting and other procedures. Inappropriate HIS system causes wasting of time, consumption of more energy and increasing the costs.
Methodology: This study was conducted in Dr. Ali Shariati Hospital in Iran. We employed Isometric Formative Evaluation questionnaire to analyze the hospital information system. Also, interviewing method was applied to complete information from departments' officials.
Results: From 101 people under investigation in this study, it was agreed on 27 people (26.7%) suitability for task criteria, 46 people (45.5%) by controllability criteria, 27 people (26.7%) to suitability for individualization criteria, 69 people (68.3%) to suitability for learning criteria, 41 people (40.6%) by error tolerant criteria, 46 people (45.5%) by self description criteria, 53 people (52.5%) by conformity whit user expectation of Hospital Information System in Dr. Ali Shariati Hospital.
Conclusion: Findings indicate Hospital Information System criteria are not efficient. It is necessary either to use nationally applicable software in information system of Medical Sciences Universities across the country or different software having international standards of medical information should be usede.
Key words: Hospital Information System (HIS); Formative evaluation; Standard; ISO 9241-10
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The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
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Deadline for submission: 7 March 2019, 16:00 (GMT)
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Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
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About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: