Presenting a conceptual model for decision support systems in infertility: A developmental study

Background: Infertility is the inability to conceive after a year of trying, resulting in unintentional childlessness. A clinical decision-support system can enhance diagnosis, reduce costs, improve access, and increase treatment accuracy. Objective: This study aimed to present a conceptual model for decision support systems in infertility. Materials and Methods: This developmental study, conducted from April-November ۲۰۲۴ in ۳ steps. First, PubMed, Scopus, and Web of Science databases were investigated to identify data for decision support systems in infertility. Next, search engines like Google, Yahoo, and Bing, along with artificial intelligence tools such as ChatGPT, Gemini, and Perplexity, helped identify similar systems. Lastly, opinions from ۳۲ infertility experts were collected via a researcher-made questionnaire, with reliability confirmed by Cronbach's alpha of ۰.۷۸ and validity confirmed by content validity ratio of ۰.۶۰. Results: In the first step, ۱۶,۳۱۰ articles were identified; ۱۰ were selected after removing duplicates and applying inclusion and exclusion criteria. In the second step, ۷۱ relevant systems were identified in search engines; ۵۸ were excluded, leaving ۱۳ for further analysis. In the third step, a researcher-designed questionnaire was distributed to ۳۲ experts, yielding key agreement rates of ۹۴% for monitoring and follow-up, ۹۴% for sperm analysis data, ۹۰% for abortion data, and ۸۲.۵% for infertility information from health magazines. Requirements grouped into ۴ categories: main features (۱۰ elements), patient info management (۱۹ elements), fertility prediction data (۱۶ elements), and secondary features (۳ elements). The model’s overall agreement was ۸۵%. Conclusion: Developing a decision-support system for infertility could enhance clinical care and outcomes; however, challenges include standardizing validation methods and considering ethnic diversity.

کلیدواژه ها:

Expert systems ، Intelligent systems ، Infertility ، Artificial intelligence. ، سیستم های خبره ، سیستم های هوشمند ، ناباروری ، هوش مصنوعی.