Naemi Roya, Jangi Majid, Barikani Hamid Reza, Shahmoradi Leila
Department of Health Information Management, School of Paramedical Sciences, Ardabil University of Medical Sciences, Ardabil, Iran.
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Int J Biomater. 2022 Feb 11;2022:7162645. doi: 10.1155/2022/7162645. eCollection 2022.
Identification of dental implant system in undocumented patients is a major challenge for dentists due to the vast variety of tools and technologies that are used in dental care. It also takes a long time to identify the type of connection or length and diameter of implant. To obtain accurate and timely information, it is necessary to have a Dental Implant Registry (DIR). In the present study, a DIR was designed, developed, and evaluated at the Dental Implant Research Center of Tehran University of Medical Sciences.
This is an applied, developmental, and cross-sectional study that was conducted between 2018 and 2020. In the present study, after determining the objectives of DIR system, its conceptual model was designed by EDraw Max 7.9 software. Then, the registry was developed in Visual Studio 2018 environment with the C# programming language and, finally, it was evaluated by Nielsen's ten principles of usability assessment.
After creating the registry, its data entry search and report functions were tested. Also, in the exploratory evaluation, the highest number of problems related to the principles of system clarity and compatibility between the system and real world was identified.
The web-based DIR created in C# programming language has the ability to gather data, provide report with different access levels, and send text messages to patients for follow-up. This tool enables physicians to quickly identify the components of dental implant. The web-based DIR also provides support for health research, quality assessment, and dental performance assessment.
由于牙科护理中使用的工具和技术种类繁多，识别无证患者的牙种植体系统对牙医来说是一项重大挑战。识别种植体的连接类型、长度和直径也需要很长时间。为了获得准确及时的信息，有必要建立一个牙种植体登记处（DIR）。在本研究中，德黑兰医科大学牙种植研究中心设计、开发并评估了一个DIR。
这是一项在2018年至2020年期间进行的应用、开发和横断面研究。在本研究中，确定DIR系统的目标后，用亿图图示Max 7.9软件设计了其概念模型。然后，在Visual Studio 2018环境中用C#编程语言开发了该登记处，最后，根据尼尔森可用性评估的十项原则对其进行了评估。
创建登记处后，测试了其数据录入、搜索和报告功能。此外，在探索性评估中，发现与系统清晰度原则以及系统与现实世界的兼容性相关的问题数量最多。
用C#编程语言创建的基于网络的DIR有能力收集数据、提供不同访问级别的报告，并向患者发送短信进行随访。这个工具使医生能够快速识别牙种植体的组件。基于网络的DIR还为健康研究、质量评估和牙科性能评估提供支持。
