Digital health refers to the use of information and communication technologies to increase healthcare’s efficiency and accessibility. Healthcare systems are increasingly recognizing the need to integrate modern technologies to optimize patient outcomes. However, promising innovations and integration into national strategies face challenges, especially in low- and middle-income regions, including Kurdistan. This review describes several digital health technologies in Kurdistan, including software implementation for data management, such as District Health Information Software 2, the establishment of telemedicine services, and the utilization of machine learning algorithms for mortality prediction, particularly during the COVID-19 pandemic. Despite the numerous advantages of digital health technologies, several challenges remain in their widespread adoption, such as the lack of a comprehensive regulatory and legal framework for the free adoption and use of digital technologies, technical challenges, and issues with patient satisfaction. Our key recommendations are the development of a robust digital health infrastructure to integrate digital health innovations, enhancement of healthcare professionals’ digital literacy through targeted training programs, and implementation of telemedicine services in remote and rural areas. In conclusion, digital health technologies, including machine learning, telemedicine, and electronic health records, have assisted healthcare accessibility and quality in Kurdistan, particularly in underserved areas, by providing immediate access to patient data and facilitating decision-making through clinical decision support tools, remote consultations, and cost-efficient healthcare services.