## 3 Results
### Security and Intelligent Platforms: AI as a Driver or Change in Healthcare
This future envisions AI and emerging technologies as essential partners in delivering enhanced and personalized healthcare [98; 99; 100], integrating resource management into an increasingly intelligent and efficient context. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Ref. No.** & **Year** & **Country** & **Focus** & **Methodology** & **Results** & **Challenges** \\ \hline
[92] & 2019 & International & Smart data-driven healthcare & Various data analysis methods to develop intelligent decision-making systems in healthcare & Intelligent decision-making systems developed & Inconsistency of healthcare needs and resources \\ \hline
[93] & 2022 & International & Safety and privacy in healthcare & Multivariate analysis and structural equation models to examine safety and privacy in healthcare & Provider performance, social influences & Provider support, AI infrastructure \\ \hline
[94] & 2022 & International & Explainable AI in healthcare & Systematic review following PRISMA to explore explainable AI in healthcare & Use of XAI methods in various healthcare contexts & Diversity of applications and datasets, interpretation of XAI results \\ \hline
[95] & 2023 & Taiwan & Financial efficiency of hospitals & Use of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) to assess financial efficiency of hospitals & Technical efficiency assessment & Integration, and efficient resource management in healthcare \\ \hline
[96] & 2022 & United States & AI in acute healthcare settings & Multidisciplinary analysis of healthcare data, alert systems, and wearable devices in acute healthcare & Improved efficiency and patient outcomes & AI integration, privacy, ethics in smart healthcare settings \\ \hline
[97] & 2022 & International & Adoption of AI in healthcare & Multivariate analysis and application of the TOE framework to study AI adoption in healthcare. & Performance projections, provider attitudes & Provider support, complexity of services \\ \hline
[98] & 2023 & Saudi Arabia & AIDSS-CDDC in healthcare context & Development of a deep-learning model (AIDSS-CDDC) for pattern analysis in healthcare & Pattern recognition in presence and absence classes & Enhancing CVD detection using the AIDSS-CDDC model in smart healthcare settings \\ \hline
[99] & 2022 & Qatar & Digitalization in healthcare management & Literature review and cross-sectional surveys to develop a digitalization roadmap in healthcare. & Digitalization plan proposal & Adoption and integration of new technologies \\ \hline
[100] & 2021 & China & IoHT for integrated care & Theoretical analysis and framework for integrating the Internet of Healthcare Things in elderly care management & IoHT technologies \\ \hline
[101] & 2022 & International & Federated learning in healthcare & Detailed analysis of federated learning innovations applied to healthcare & FL approaches & Communication, standardization for standardization for FL implementation \\ \hline
[102] & 2022 & International & Security in Healthcare 5.0 & Literature review and comparative analysis for a security framework in Healthcare 5.0 & Healthcare 5.0 & Data management, security standards, security threats \\ \hline
[103] & 2022 & Malaysia & AI and HR analytics in healthcare & Various methodologies to study the impact of AI and HR analytics in healthcare & Positive impact on productivity and HR functions & Further research and technological integration \\ \hline
[104] & 2021 & United States & AI resource management in healthcare economy & Data-driven methods such as reinforcement learning, genetic algorithms, and traveling & Data-based decision making for complex management in healthcare contexts \\ \hline \hline \end{tabular}
\end{table} 
Table 6: International Research for AI and resource management in healthcare. Similarly, these studies do not confine themselves to immediate challenges but also address the specific implications of AI in key sectors.