## 2 Materials and Methods
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Author and Year** & **Purpose of Research** & **Key Findings** \\ \hline \multirow{6}{*}{[PERSON] et al., 2010 [18]} & The article presents the use of GIS in the understanding of primary healthcare needs in communities. GIS is used to assess the patterns of healthcare use, including attributes at the community level, to identify the geographical regions that need access to healthcare most urgently. & The results showed that the use of GIS for generally accessible data at the community and patient levels may rapidly identify the areas that need a better access to primary healthcare services most urgently. This model may improve access to healthcare. & The results showed that the assessed measurements of distances and travel times are the most accurate, but cannot be used directly in spatial analytical modelling. The Euclidean method underestimates road distance and time; the Manhattan method usually overestimates both. The Minkowski method partially improves their deficiencies, as it is adaptable, suitable for the analytical modelling and more accurate than conventional measurements. Its use improves the reliability of spatial analytical models. & The results of the research showed that existing locations provide a nearly optimal geographic healthcare access and foresee options for improvement. \\ \hline \multirow{6}{*}{[PERSON] et al., 2013 [20]} & The research studies the efficiency and equality of the geographic accessibility of hospitals in four US states using the criteria of efficiency, the availability of services and equality. It compares existing and optimal locations. & The results of the research showed that existing locations provide a nearly optimal geographic healthcare access and foresee options for improvement. \\ \hline \multirow{6}{*}{[PERSON] et al., 2010 [18]} & The purpose of the research was to verify whether simple methods to determine healthcare accessibility (physician-to-population ratios-PPR) used by policymakers in Belgium are sufficiently accurate to suitable determine healthcare shortage areas. At the same time, the goal was to study how such methods work out in comparison with more advanced methods based on geographic information systems (GIS). & It was established that the PPR method used by policymakers in Belgium merely supports a rough estimate of healthcare accessibility, particularly due to large adjacent areas (medical areas). Significant differences in the quantity and spatial distribution in shortage areas were established using various methods. \\ \hline \multirow{6}{*}{[PERSON], [PERSON], [PERSON], 2014 [21]} & The research addressed the decision-making process regarding the siting of large public buildings, which responds to the increasing demand for more rationality of public investments by taking into account the quality of services and addressing spatial issues. The analysis is used to define the best location for a public hospital in a Portugal region. & The results show that segmentation to macrolocations and microlocations is a special feature of the used approach. The merger of the relative criteria keys (better/worse), the contributions of the geospatial analysis (e.g., centres of gravity) and quantitative data (e.g., minimum travel time) with other sources is crucial to the decision-making process regarding the location of public buildings. \\ \hline \multirow{6}{*}{[PERSON], [PERSON], 2015 [22]} & The article studies and compares two modelling methods used to make decisions on the locations of healthcare facilities and pertaining infrastructure. The proposed models are based on seven main criteria (environment and safety, size, total costs, accessibility, design, risks and population profile) and 28 sub-criteria. & By developing and studying models for decision analyses, which apply several criteria, the article contributes to the rationalisation of the selection of healthcare facility and infrastructure locations, particularly in future decisions. The results also enable providers to additionally study the characteristics of the modelling to develop a reliable decision-making framework. \\ \hline \hline \end{tabular}
\end{table}