Akademik Veri Yönetim Sistemi
ISPOR, Glasgow, İngiltere, 9 - 12 Kasım 2025, ss.381-382, (Özet Bildiri)
Objectives
The purpose of this study is to assess the adoption, difficulties, and results of digital health technologies across different healthcare systems. It aims to highlight the differences between high- and low-income countries while identifying important implementation-influencing factors, such as workforce capacity, policy frameworks, and infrastructure. The goal is to provide context-specific insights and practical suggestions to support equitable, scalable, and sustainable digital transformation in healthcare by synthesizing existing research.Methods
This review employed a structured literature search using databases including PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2010 and 2024. Keywords such as “digital transformation healthcare,” “telemedicine,” “adoption EHR,” and “artificial intelligence healthcare” were used to capture a broad range of research on the implementation and impact of digital health technologies. Selected studies were analyzed to extract data on adoption rates, challenges, outcomes, and contextual factors influencing digital health integration across different healthcare settings.Results
The study revealed that high-income and low- to middle-income countries adopted digital health technologies at different rates. High-income regions demonstrated greater integration of tools like EHRs and telemedicine, leading to improved clinical efficiency and patient outcomes. On the other hand, persistent obstacles like inadequate infrastructure, a lack of staff, and concerns about data security were present in areas with limited resources. Despite these obstacles, successful implementation of digital solutions was consistently associated with positive outcomes, including decreased medical errors, improved workflow efficiency, and increased access to care.Conclusions
This review demonstrates that although digital health technologies have the potential to transform healthcare delivery, there are still challenges that prevent their widespread adoption, particularly in low- and middle-income countries. Addressing infrastructure gaps, workforce training, and data security concerns is essential to ensure equitable and sustainable digital transformation across global health systems.