Design of a Scalable Content-based Publish-subscribe Model for Efficient Information Dissemination in Obstetrics and Gynaecology

Publish-subscribe models provide a scalable solution for exchanging information in the distributed environment of public health care. However, existing health information systems that have adopted the publish-subscribe models in the literature to alleviate the problem of delay in information delivery and retrieval are limited to Windows-based mobile platforms which are no longer popular with the availability of competing platforms such as Android operating System (OS) and iOS. Hence, this research aims to design model of a content-based publish-subscribe information system to represent the functional and non-functional requirements of the domain knowledge within the field using Microsoft Visio and Unified Modeling Language (UML). This research addresses the challenge of delayed information delivery in obstetrics and gynecological healthcare by developing a content-based publish-subscribe information system. The system utilizes a modern, platform-independent approach and deliver relevant health information to women of reproductive age. The evaluation findings showed average SUS score of 74.35, indicating the system is acceptable for use, with a good adjective and marginal acceptability scale. The initial findings suggest the system improves user knowledge about reproductive women’s health issues. This has the potential to improve maternal health outcomes and reduce child and maternal mortality rates.