254 Infertility Information System with an approach to Data Architecture: A Systematic Review Somayeh Sadat Seyedi, Azamossadat Hosseini, Reza Rabiei, Farkhondeh Asadi and Hamid Moghaddasi* Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical sciences, Tehran, IRAN. *Corresponding author: Hamid Moghaddasi, Associate professor of Health Information Management & Medical Informatics, Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IRAN. Email: To Cite This Article: Hamid Moghaddasi. Infertility Information System with an approach to Data Architecture: A Systematic Review. Am J Biomed Sci & Res. 2019 - 5(4). AJBSR.MS.ID.000922. DOI: 10.34297/AJBSR.2019.05.000922. Received: September 09, 2019; Published: September 27, 2019 Copy Right@ Hamid Moghaddasi This work is licensed under Creative Commons Attribution 4.0 License AJBSR.MS.ID.000922. American Journal of Biomedical Science & Research www.biomedgrid.com --------------------------------------------------------------------------------------------------------------------------------- ISSN: 2642-1747 Research Article Abstract Infertility is one of the major healthcare problems around the world. In order to provide infertile couples with appropriate services, it is essential to have an integrated information system for the management of infertility data. One of the most important aspects of this system is its data architecture so that relevant data can be properly managed and made available to users. The aim of this study was to determine data architecture components in infertility information systems including data sources, organizations involved in infertility care, data exchanges and datasets. In this systematic review the four databases (PubMed, Scopus, Science Direct, and Embase) searched. Studies related to each of the various stages of designing, creating, and developing information systems and registries for infertility and assisted reproductive technology were selected. These articles were those published in English between 2007 and 2018. Findings resulting from 44 selected articles were categorized into four groups including data sources, organizations involved in infertility care, data exchanges, and datasets. The most important data sources are databases, paper forms, patient and birth registries, and vital records. Organizations involved in data management include producing and coordinating organizations. The main data exchanges took place between infertility clinics and national infertility databases. Provision of proper services to infertile couples requires a well-designed information system, which collects relevant information from different sources, and makes it available to relevant individuals. Data in this system are used to effectively treat infertility, assess the success rates and safety of assisted reproductive technology, and allocate resources. Keywords: Infertility; Data Architecture; Infertility Information System; Infertility Information System Architecture Introduction Infertility is one of the major healthcare problems in all societ- ies around the world [1], and it is one of the most important medi- cal and social problems affecting the mental health of families and societies [2]. According to reports, the world’s infertility rate has risen by 50% since 1955 [3]. In general, infertility is defined as the inability to achieve a pregnancy after 12 months of regular unpro- tected sexual intercourse [4-7] for most people, and six months in cases where the woman is older than 35 years of age [8], in a way that the couple are not able to achieve a pregnancy after a year of trying [6]. The United States National Institutes of Health (NIH) has provided the above definition as well, and states that the term “in- fertility” is also used to refer to women who are able to become pregnant, but who cannot maintain the embryo until the end of pregnancy [9]. Infertility occurs both in women and in men [4,10]. According to the United States National Infertility Association, one couple out of every eight couples at reproductive age, (12.5% of the population at reproductive age) faces the problem of achieving a pregnancy or finishing the pregnancy period [11,12]. The average prevalence of infertility is 3.5% to 16.7% in developed countries, and 6.9% to 9.3% in developing countries [1]. Effective design and implementation of relevant programs and protocols by competent infertility-related organizations and enti- ties play a valuable role in infertility management; that is, they orga- nize health services and reduce costs [13]. The Centers for Disease Control and Prevention (CDC) in the United States have released a plan titled “The National Public Health Action Plan”, whose content reflects the scope of programs and activities run by the CDC in re- lation to infertility management. The aim of this plan is to discover,