Reducing the disparities in healthcare access is one of the important goals in healthcare services and is significant for national health. However, measuring the complexity of access in truly underserved areas is the critical step in designing and implementing healthcare policy to improve those services and to provide additional support. Even though there are methods and tools for modeling healthcare accessibility, the context of data is challenging to interpret at the local level for targeted program implementation due to its complexity. Therefore, the purpose of this study is to develop a concise and context-specific methodology for assessing disparities for a remote province in Thailand to assist in the development and expansion of the efficient use of additional mobile health clinics. We applied the geographic information system (GIS) methodology with the travel time-based approach to visualize and analyze the concealed information of spatial data in the finer analysis resolution of the study area, which was located in the border region of the country, Ubon Ratchathani, to identify the regional differences in healthcare allocation. Our results highlight the significantly inadequate level of accessibility to healthcare services in the regions. We found that over 253,000 of the population lived more than half an hour away from a hospital. Moreover, the relationships of the vulnerable residents and underserved regions across the province are underlined in the study and substantially discussed in terms of expansion of mobile health delivery to embrace the barrier of travel duration to reach healthcare facilities. Accordingly, this research study addresses regional disparities and provides valuable references for governmental authorities and health planners in healthcare strategy design and intervention to minimize the inequalities in healthcare services.
At the present, the microbiological infection is one of the most significant issues in the global. The medical laboratory diagnosis, microbiology, is the most popular way to identify a type of microbiology which is infected-source. Moreover, there are a few microbial prognoses to support a medical treatment. It is effectively controlled by antibiotic management such as Disk diffusion antimicrobial susceptibility testing, Kirby Bauer AST. This technique is well-known in all microbiological laboratories. This study was the development of interpreting system for antimicrobial susceptibility testing by the disc diffusion technique with automatically measures and interprets inhibition zone diameter. The operated system has comprised electronic part; optical devices, video capture part, and software which manages and analyses all processes. The technology of this system was uncomplicated, effective cost and potential automated test. The disk detected-process and measured process; pre-process, were operated via image processing steps such as image smoothening, edge detection, template matching. The output of this part was sent to the next sections, data correction, interpretation and report, respectively.
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