Health Information management
shahnaz khademizadeh; Mohammad Reza Shekari
Abstract
Health librarians, due to the nature of their work, the diversity of users' requests and the diversity of their information needs, along with the possible challenges ahead, it is necessary to benefit from artificial intelligence literacy more than before and be leaders in this field. In this regard, ...
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Health librarians, due to the nature of their work, the diversity of users' requests and the diversity of their information needs, along with the possible challenges ahead, it is necessary to benefit from artificial intelligence literacy more than before and be leaders in this field. In this regard, some researchers have proposed a model for artificial intelligence literacy, which consists of three foundations of functional literacy, social literacy and technological literacy. The main purpose of functional literacy is education. It means that he can teach in the library and receive training for his growth and development. As societies become more complex and information needs change more and more and information sources become more diverse, reading and writing need the ability to understand society beyond just decoding text. In this way, the need to have social literacy shows itself with a critical understanding of social phenomena. In modern society, the ability to use technology has become a basic ability required for communication. In fact, health librarians should have the ability to accept and use technology and accept what is popular in the society, learn and use it in order to provide services. As such, increasing and strengthening artificial intelligence literacy for health librarians is a very important effort to ensure the success of future libraries. Libraries that will be challenged by the emergence of artificial intelligence, low-quality service provision, and the abilities of their librarians.
Farideh Osareh; Shahnaz Khademizadeh; Sedigheh Torfipour
Abstract
Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence ...
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Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence analysis in the Clarivate Analytics Web of Science Database.Methods: This study was conducted using scientometric method. The research population consisted of 14186 autism-related records published between the years 2010 and 2017 at the Clarivate Analytics Web of Science Database. The data were analyzed using social network analysis method.Results: The words “ability, malformations, syndrome, disorder, phenotype, and neurons” were the main vocabulary in the domain of autism spectrum disorder. These words also received the highest score in terms of centrality factors. Furthermore, in terms of macro-indicators, the domain of autism was coherent. In this area, the United States, the United Kingdom, and Canada had produced more records compared to other countries. The universities of California, London, and Harvard had also been the most productive universities in the international arena. Among Iranian universities, Tehran University of Medical Sciences, Islamic Azad University, and Shahid Beheshti University of Medical Sciences had more publications compared to other universities. Among the top researchers in terms of number of international productions "Zwaigenbaum L.", "Matson JL." and "Gillberg C." and among Iranian researchers "Memari A", "Mashayedi P", and "Ahmadloo M" had the best works.Conclusion: The information extracted from lexical co-occurrence map can help to improve policy-making in scientific fields. In this map, each word or group of words represents a particular area. Therefore, these maps can be used to make efficient decisions regarding resource allocation and distribution. Furthermore, these maps can help researchers get acquainted with new topics and top researchers in each field.
