scholarly journals Topic Analysis of Published Articles in Medical librarianship and Information Science in Iran Using Text Mining Techniques

2020 ◽  
Vol 11 (4) ◽  
pp. 355-367 ◽  
Author(s):  
Meisam Dastani ◽  
Afshin Mousavi chelak ◽  
Soraya Ziaei ◽  
Faeze Delghandi
Keyword(s):  
Knowledge Management ◽  
Text Mining ◽  
Health Information ◽  
Information Literacy ◽  
Information Science ◽  
Publication Rates ◽  
Descriptive Approach ◽  
Python Programming ◽  
Mining Algorithms

Background and Objectives: Nowadays, due to the increasing publication of articles in various scientific fields, analysis of the topics published in specialized journals is interesting for researchers and practioners. For this purpose, this study has identified and analyzed the issues published in the Iranian library and medical librarianship articles. Material and Method: This study uses an exploratory and descriptive approach to analyze the library and information articles published in specialized journals in this field in Iran from 1997 to 2017 using text mining techniques. For this purpose, 982 articles on the library and medical librarianship have been selected from 16 journals. The TF-IDF weighting algorithm was used to identify the most important terms used in the articles and the LDA thematic modeling algorithm was used to determine the published topics. Python programming language has also been used to run text mining algorithms. Results: Results showed that the words of library (12.67), journal (12.47), information (12.23), hospital (9.90) and scientific (9.74) are the most important words based on their TF-IDF weight. The results of thematic modeling of these articles were based on the highest publication rates of scientometrics, information literacy, health information, knowledge management, webometrics, and the quality of the website and hospital information systems, respectively. Conclusion: The results of this study showed that the topics of scientometrics, information literacy and health information have had the highest publication in the last 5 years. Also, the publication of knowledge management, webometrics and quality of the website and hospital information system has been less published in the last 5 years than in the past.

scholarly journals Identifying Emerging Trends in Scientific Texts Using TF-IDF Algorithm: A Case Study of Medical Librarianship and Information Articles

2021 ◽  
Author(s):  
Meisam Dastani ◽  
Afshin Mousavi Chelak ◽  
Soraya Ziaei ◽  
Faeze Delghandi
Keyword(s):  
Text Mining ◽  
Information Technologies ◽  
Scientific Texts ◽  
Emerging Trends ◽  
Descriptive Approach ◽  
Python Programming ◽  
Mining Algorithms ◽  
Scientific Fields ◽  
Over Time

Background: Nowadays, due to the increased publication of articles in various scientific fields, identifying the publishing trends and emerging keywords in the texts of these articles is essential. Objectives: Thus, the present study identified and analyzed the keywords used in the published articles on medical librarianship and information. Methods: In the present investigation, an exploratory and descriptive approach was used to analyze librarianship and information articles published in specialized journals in this field from 1964 to 2019 by applying text mining techniques. The TF-IDF weighting algorithm was applied to identify the most important keywords used in the articles. The Python programming language was used to implement text mining algorithms. Results: The results obtained from the TF-IDF algorithm indicated that the words “Library”, “Patient”, and “Inform” with the weights of 95.087, 65.796, and 63.386, respectively, were the most important keywords in the published articles on medical librarianship and information. Also, the words “Catalog”, “Book”, and “Journal” were the most important keywords used in the articles published between the years 1960 and 1970, and the words “Patient”, “Bookstore”, and “Intervent” were the most important keywords used in articles on medical librarianship and information published from 2015 to 2020. The words “Blockchain”, “Telerehabilit”, “Instagram”, “WeChat”, and “Comic” were new keywords observed in articles on medical librarianship and information between 2015 and 2020. Conclusions: The results of the present study revealed that the keywords used in articles on medical librarianship and information were not consistent over time and have undergone a change at different periods so that nowadays, this field of science has also changed following the needs of society with the advent and growth of information technologies.

scholarly journals Health Information behaviour during COVID-19 outbreak among Egyptian library and information science undergraduate students

2020 ◽  
pp. 026666692097618
Author(s):  
Ahmed Shehata
Keyword(s):  
Health Information ◽  
Undergraduate Students ◽  
Information Literacy ◽  
Information Science ◽  
Literacy Skills ◽  
The Internet ◽  
Library And Information Science ◽  
Information Behaviour ◽  
Study Results ◽  
Information Literacy Skills

Health information shared on the Internet has the potential to improve people’s quality of life. However, the level of health information literacy and informational skills determines the individuals’ ability to obtain credible health information useful for them. This study investigates the Egyptian LIS undergraduates’ health information behaviour during the COVID-19 pandemic. The study has adopted a quantitative approach using a questionnaire to explore library and information science undergraduates’ health information behaviour. A sample of 161 students answered a questionnaire. The data were analysed using SPSS software. The study results show that official health websites, social media, and family and friends are the primary sources for health information for the participants. The findings also revealed that the sample has adequate health information skills, though many of the participants still need to raise their information literacy skills. Information credibility and personal beliefs were found to affect the participants’ decision to share health information on the Internet. One of the limitations of the study is that the sample selected in this study was LIS students who are trained to find reliable information as part of their education. Findings may be different for the “average” student. Furthermore, the questionnaire was distributed in one university, which means that the results cannot be generalised in other LIS departments using different courses. Therefore, more studies need to be conducted in other LIS departments with different course plans as they may produce different results. This study explores the health information behaviour of LIS undergraduates during the COVID-19 pandemic. The current study results may help develop the course plan in many LIS departments in Egypt and the Middle East, which would help improve the students’ health information literacy.

scholarly journals Role of contemporary technologies in health care knowledge management: a review

2020 ◽  
Vol 6 (9) ◽  
pp. 366
Author(s):  
Muluneh E. Gizaw ◽  
Getachew W. Tessema
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Knowledge Management ◽  
Health Information ◽  
Quality Of Health Care ◽  
Health Care Services ◽  
Scale Up ◽  
Content Management ◽  
Care Services

<p>The emergence of knowledge management (KM) technologies has been enabling health care sectors to promote effective management of knowledge and provide evidence-based medicine for improving service deliveries. As a result, the health care industry is increasingly becoming a knowledge-based community that depends critically on using technologies to KM activities. This paper attempts to review various literatures and gives an intellectual background to the study from various studies conducted by different researchers on the thoughts of various KM technologies in health systems. According to the study, technologies play a prominent role in health care sectors in utilizing their organizational and personal knowledge effectively which in turn enhances the quality of health care services. The usage and practice of KM in the health sector is increasingly promoted due to the emergence of health information technology. There are number of information technology solutions that assist healthcare sectors in knowledge management. Health care portals, search engines, retrieval and classification tools, e-collaboration tools, content management systems and other technologies are widely employed to manage the massive and ongoing health information and share it with their users. Therefore, it is indispensable to pay special attention in using these technologies to manage organizational and individual knowledge available within and outside healthcare organization. Overall, this study has proved that information and communication technology are valuable to support and scale up knowledge management processes for the effectiveness and quality of health care services.</p>

scholarly journals Health Information Literacy and the Experience of 65 to 79 Year Old Australians

2016 ◽  
pp. 982-1004
Author(s):  
Ian Stoodley ◽  
Christine Bruce ◽  
Helen Partridge ◽  
Sylvia Lauretta Edwards ◽  
Helen Cooper
Keyword(s):  
Health Information ◽  
Information Literacy ◽  
Information Science ◽  
Potential Contribution ◽  
Relational Perspective ◽  
Degree Of Orientation

Information Literacy (IL) is presented here from a relational perspective, as people's experience of using information to learn in a particular context. A detailed practical example of such a context is provided, in the Health Information Literacy (HIL) experience of 65 to 79 year old Australians. A phenomenographic investigation found five qualitatively distinct ways of experiencing HIL: Absorbing (intuitive reception), Targeting (a planned process), Journeying (a personal quest), Liberating (equipping for independence), and Collaborating (interacting in community). These five ways of experiencing indicated expanding awareness of context (degree of orientation towards their environment), source (breadth of esteemed information), beneficiary (the scope of people who gain), and agency (amount of activity) across HIL core aspects of information, learning, and health. These results illustrate the potential contribution of relational IL to information science.

scholarly journals Penyuluhan Program Literasi Informasi Kesehatan dalam Meningkatkan Kualitas Sanitasi bagi Masyarakat di Kaki Gunung Burangrang Kab. Bandung Barat

2017 ◽  
Vol 1 (2) ◽  
pp. 129
Author(s):  
Ditha Prasanti ◽  
Ikhsan Fuady
Keyword(s):  
Rural Communities ◽  
Health Information ◽  
Community Service ◽  
Information Literacy ◽  
Information Needs ◽  
Comprehensive Knowledge ◽  
Service Activities ◽  
Extension Activity ◽  
Access Information

The ability of the community to access information needs is still uneven among urban people and rural communities. The ability to access information is an open door that must be open to be able to process and understand information, especially in this case is health information. Sanitation is one component of environmental health, a deliberate behavior to civilize a clean life to prevent humans directly touched with dirt and other hazardous waste materials, in the hope of maintaining and improving human health. Therefore, the authors perform Community Service activities entitled "Health Information Literacy Program Counseling in Improving the Quality of Sanitation for the Community at the foot of Mount Burangrang Kab. Bandung Barat."Community Service Activities has a purpose to produce outcomes, namely: 1) Provide concrete knowledge and insight about health information literacy in improving the quality of sanitation for people in West Bandung regency; 2) Providing comprehensive knowledge and insight about health information literacy in improving the quality of sanitation for people in West Bandung Regency.Method of PKM implementation conducted in this extension activity is ice breaking method; Workshop methods, lectures, and action studies.  Keywords:Counseling, Literacy, Information, Health, Sanitation, West Bandung

Engineering Dependable Health Information Systems

2005 ◽  
pp. 91-109 ◽  
Author(s):  
Khin Than Win ◽  
Peter Croll
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Electronic Health Record ◽  
Health Information ◽  
Health Information System ◽  
Health Information Systems ◽  
Health Record ◽  
The Relationship

Effective and appropriate implementation of health information systems assists with an organization’s knowledge management. To enhance a user’s trustworthiness and full adoption, a health information system needs to be dependable. This chapter reviews the different development methodologies available for engineering dependable solutions and their application by citing two case studies as an example. Health information systems cover a diverse set of applications. The focus in this chapter is on the development of electronic health record systems, the importance of dependability, and the relationship between dependability and data quality of the health record systems.

Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farshid Danesh ◽  
Meisam Dastani ◽  
Mohammad Ghorbani
Keyword(s):  
Immune Response ◽  
Text Mining ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Statistical Population ◽  
Content Type ◽  
Number Of Publications ◽  
Python Programming ◽  
Mining Algorithms ◽  
Dirichlet Allocation

PurposeThe present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.Design/methodology/approachThe present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.FindingsThe findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”Originality/valueThe originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

scholarly journals Health Information Literacy and the Experience of 65 to 79 Year Old Australians

2014 ◽  
pp. 102-123
Author(s):  
Ian Stoodley ◽  
Christine Bruce ◽  
Helen Partridge ◽  
Sylvia Lauretta Edwards ◽  
Helen Cooper
Keyword(s):  
Health Information ◽  
Information Literacy ◽  
Information Science ◽  
Potential Contribution ◽  
Relational Perspective ◽  
Degree Of Orientation

Information Literacy (IL) is presented here from a relational perspective, as people’s experience of using information to learn in a particular context. A detailed practical example of such a context is provided, in the Health Information Literacy (HIL) experience of 65 to 79 year old Australians. A phenomenographic investigation found five qualitatively distinct ways of experiencing HIL: Absorbing (intuitive reception), Targeting (a planned process), Journeying (a personal quest), Liberating (equipping for independence), and Collaborating (interacting in community). These five ways of experiencing indicated expanding awareness of context (degree of orientation towards their environment), source (breadth of esteemed information), beneficiary (the scope of people who gain), and agency (amount of activity) across HIL core aspects of information, learning, and health. These results illustrate the potential contribution of relational IL to information science.

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