Abstract:
Information systems in healthcare are crucial in facilitating digital storage, retrieval and sharing of health-related data.
Literature reveals many different aspects of challenges, such as usability, interoperability, security, and data quality that impede their
effectiveness. The role of Software Quality Assurance (SQA) could have been vital in developing and aligning information systems with
the specifications and user needs. While there are diverse tools and measures presented in the studies of information systems in
healthcare, there is a notable gap in the absence of synthesis as well as analysis of tools, metrics, and models utilized in healthcare
information systems SQA methodologies. This study aims to analyze and synthesize SQA methodologies in the software development life
cycle of information systems in healthcare. Using the 2020 PRISMA guidelines, 26 research papers were identified from PubMed and
Google Scholar databases. Quantitative analysis was then conducted to identify themes and trends, consolidated best practices, challenges
and the insights derived by their respective authors. It was shown that the frequency of methods in SDLC employed vary across papers.
Overall impression however is that the SQA methodologies are adapted almost equally across the papers This study is significant for its
comprehensive review of SQA methodologies, its potential to improve healthcare delivery and its contribution to the ongoing discourse in
enhancing the quality and effectiveness of healthcare information systems. Its novelty, among others, lies in its focus on the phases of
digital health systems life cycle that are often underemphasized.