(2019) Instructional design, development and evaluation of congenital hypothyroidism registry system. Webology. pp. 275-288. ISSN 1735188X (ISSN)
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Abstract
Congenital hypothyroidism is the most common congenital endocrine disorder, which can lead to preventable mental retardation. Creating and developing patient information recording systems provides standardized and organized methods for systematically collecting their clinical data based on predetermined purposes. This developmental study aimed at designing, developing, and evaluating a congenital hypothyroidism management system. This study was conducted in 2018-2019 to design architecture and develop software from the ADDIE model consisting of five steps analysis, design, development, implementation, and evaluation. The User Experience Questionnaire that is an instrument of high validity and reliability was used to evaluate the registry system. Relational database was created in MS SQL Server 2012. Tables and their relationships (10 data tables) were created. A table was assigned to the roles. A total of five user groups were drawn. After designing and creating the tables and database, the table relationships were created. Successful establishment of registry system for congenital hypothyroidism patients was done with an appropriate web-based design. This system can be used as a tool for recording and storing patient information, disease surveillance, epidemiological studies, as well as helping to standardize screening methods and improve the quality of patient care. © 2019, Leila Shahmoradi, Hamideh Ehtesham, Esmaeil Mehraeen, Nooshin Rostampour, Shahram Tahmasbian and Morteza Ghasempour.
Item Type: | Article |
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Keywords: | Client server architecture Congenital hypothyroidism Design Development Web-based |
Subjects: | WD Disorders of Systemic, Metabolic or Environmental Origin, etc. > WD 200-226 Metabolic Diseases |
Divisions: | Other |
Page Range: | pp. 275-288 |
Journal or Publication Title: | Webology |
Journal Index: | Scopus |
Volume: | 16 |
Number: | 2 |
ISSN: | 1735188X (ISSN) |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/11977 |
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