HIET Web-based digital repository for health informatics evaluation tools

Abstract

Purpose Evaluating health information systems is an integral part of the life cycle and development of information systems as it can improve the quality of health care. The purpose of this paper is to introduce a bilingual Web-based repository of health-related software products evaluation tools. Design/methodology/approach The present paper is an applied-developmental study that includes the stages of analysis, design, implementation and evaluation procedures. By searching valid databases as well as holding focus group meetings with a group of experts, the necessary elements for designing a Web-based repository were identified, and also unified modelling language diagrams were designed by using a visual paradigm. The coding(programming) was conducted based on the Gantlet Web Systems Development Framework at the next stage. Finally, after implementing and testing the system, the content was added to the repository, and then the repository was evaluated in terms of usability testing. Findings The health informatics evaluation tools (HIET) repository provides a functional and selective environment that facilitates the sharing, online storage and retrieval of assessment tools by the scientific community. The HIET repository is easily accessible at www.hiet.ir/ The website is implemented in structured query language (MySQL), personal homepage. Hypertext Preprocessor (PHP) and Linux, Apache, MySQL, and PHP (LEMP) and supports all major browsers. Originality/value The HIET repository, as mentioned earlier, serves as an application environment for sharing, storing and online retrieving the assessment tools of health information systems. Therefore, this tool not only facilitates the search, retrieving and study of many evaluation-related papers, which are time-consuming and stressful for researchers and students but can lead to a faster and more scientific evaluation of information systems.

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

“…Other challenges included the embryonic stage of institutional plans (Warraich and Rorissa, 2020); ambiguity and lack of formalization of resource descriptions, isolation of datasets that impede more exhaustive searches and the difficulty to carry out conceptual searches and navigation, lack of consensus between overlapping vocabularies, were hurdles that had to overcome to facilitate the access of users to semantic web resources (Morato et al. , 2013), manual paper based records (Shibambu and Marutha, 2022), traditional mind set (Saarti and Touminen, 2021), unauthorized access, plagiarism (Khan et al ., 2022), unwilling to change (Nejad et al., 2020), and financial constraints (Khezri et al., 2022).…”

“…(2020), Saarti and Touminen (2021), Khan et al . (2022), Khezri et al. (2022), Shibambu and Marutha (2022).…”

“…Integration of technological semantic and social institutions could refine resource discovery, improve precision and enable the user to locate information efficiently (Pandey and Panda, 2015). Cloud computing, documented policies, proactive role of academic librarians, centralized eco-system, quality library system, technical support and a user-centric approach should be followed in SDLs Solomou and Koutsomitropoulos (2015), Nejad et al (2020), Saarti and Touminen (2021), Khan et al (2022), Khezri et al (2022), Shibambu and Marutha (2022).…”

Development of the digital retrieval system integrating intelligent information and improved genetic algorithm: A study based on art museums

“…As a treasure house of cultural heritage, art museums have a wide variety of artworks and actively participate in the wave of digitalization. However, due to the complexity and diversity of artwork information, traditional keyword retrieval methods have been unable to meet users’ demands for accurate, efficient, and personalized information retrieval [ 2 ]. Intelligent information processing technologies, such as image recognition, natural language processing, and user interest modeling, have shown powerful capabilities in many fields, bringing new possibilities for information retrieval [ 3 ].…”