Significant of space-syntax in assessing trend needed for the applicability and used of big data on healthcare sector

Technology massification is an acceptable trend for healthcare. Unlike technology massification, big data is crucial in the healthcare sector. This study uses space syntax in assessing the applicability and use of big data in healthcare. Following a rise in data required within the healthcare system, it’s important to apply big data technologies as more information increases in healthcare every day. Securing new data storage steps, modelings, systems, and processes is essential for internal and external use as proposed by this study. To ascertain that storage steps, modeling systems, and processes are essential for the implementation of big data in healthcare, a survey was conducted. The results of findings show big data is required in the healthcare sector. Search engines, publish journals, and social media platforms were used to determine this trend. The trend was classified into internal and external systems. A choice was made accepting the highest occurrence of everyday data input into systems and environmental space used. From the various literature review, a higher volume of text and words used were displayed with the help of keywords. Search quarries represent the internal trend of space-syntax analysis for healthcare and GIS mapping represents the external environment of space-syntax analyzes for non-healthcare. From the applicability of syntax queries as a comparative analysis, higher-volume data is predominant in healthcare-related issues than non-healthcare issues like FIFA competitions. This study, therefore, concluded that there is a need for big data in healthcare to contain increased incoming text or healthcare information.