HEALTH INFORMATION SYSTEM WEB APPLICATION WITH INTELLIGENT SEARCH

• Main Author: FREDDY, WONG JING ZONG
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
• Subjects: QA Mathematics
• Online Access: http://ir.unimas.my/id/eprint/44250/1/Freddy%20Wong%20Jing%20Zong%2024pgs.pdf; http://ir.unimas.my/id/eprint/44250/2/Freddy%20Wong%20Jing%20Zong%20ft.pdf; http://ir.unimas.my/id/eprint/44250/

The Health Information System (HIS) is used to access the health information easier compared to saving the information in physical documents. However, the health information systems used by hospitals and clinics are not centralised, so patient data is not synchronised, making it difficult to retrieve patients' updated health information. The inspiration of doing this project is to provide the platform where the users can view their health information anytime and anywhere. Also, by integrating a third-party intelligent search engine which has more advanced searching query and functions than a normal search function does, the users are able to get their more preferred search results in a more efficient way. The methodology used in this project is Rapid Application Development (RAD) and there are four phases in this project. In order to develop the proposed system, the requirements and suggestions are gathered by using questionnaires and interviewing sessions with health professionals. Three third-party intelligent search engines are being reviewed to decide the most suitable intelligent search engines. In addition, three existing health information systems are being reviewed and compared as well for the reference of the proposed system. The system is developed using the web programming languages such as HTML, CSS, PHP, and Azure Cognitive Service is used as the intelligent search engine. Due to Azure Cognitive Service is used, Microsoft SQL Server or MSSQL is being selected as database of the web application. The system is developed based on the requirements gathered and reviews. In addition, the system is tested using functionality testing and unit testing. Usability testing is also conducted by 15 testers and 2 professionals. All of them are able to operate the system with minimum supervision, and most of them are satisfied with the system. Though, further enhancements are required to improve the Health Information System (HIS) in the future. It is recommended to incorporate a feature that enables medical professionals to store medical records by attaching documents in formats such as PDF or images for future reference. Furthermore, when the system is being commercialized, consideration should be given to upgrading the Azure Cognitive Search service to a higher pricing tier.