The overcrowding of first aid facilities creates considerable hardship and problems which have repercussions on patients’ wellbeing, the time needed for a diagnosis, and on the quality of the assistance. The basic objective of this contribution, based on the data collected by the Hospital Policlinico Umberto I in Rome (Lazio region, Italy), is to carry out a territorial screening of the municipality using GIS applications and spatial analyses aimed at reducing—in terms of triage—code white (inappropriate) attendances, after having identified the areas of greatest provenance of improperly used emergency room access. Working in a GIS environment and using functions for geocoding, we have tested an experimental model aimed at giving a close-up geographical-sanitary look at the situation: recognizing the territorial sectors in Rome which contribute to amplifying the Policlinico Umberto I emergency room overcrowding; leading up to an improvement of the situation; promoting greater awareness and knowledge of the services available on the territory, a closer relationship between patient and regular doctor (general practitioner, GP) or Local Healthcare Unit and a more efficient functioning of the emergency room. In particular, we have elaborated a “source” map from which derive all the others and it is a dot map on which all the codes white have been geolocalized on a satellite image through geocoding. We have produced three sets made up of three digital cartographic elaborations each, constructed on the census sections, the census areas and the sub-municipal areas, according to data aggregation, for absolute and relative values, and using different templates. Finally, following the same methodology and steps, we elaborated another dot map about all the codes red to provide another kind of information and input for social utility. In the near future, this system could be tested on a platform that spatially analyzes the emergency department (ED) accesses in near-real-time in order to facilitate the identification of critical territorial issues and intervene in a shorter time to regulate the influx of patients to the ED.

中文翻译：

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急诊部人满为患：回顾性空间分析和访问的地理编码。罗马的试点研究

急救设施的人满为患造成了相当大的困难和问题，这些问题对患者的健康，诊断所需的时间以及援助的质量产生了影响。根据罗马（意大利拉齐奥地区）Policlinico Umberto I医院收集的数据，这项贡献的基本目的是使用GIS应用程序和空间分析对市政进行地域筛查，旨在减少-分诊—在确定出不当使用急诊室通道的最大出处之后，对白色（不适当的）出勤进行编码。在GIS环境中工作并使用了地理编码功能，我们测试了一个实验模型，旨在对情况进行更近距离的地理卫生检查：认识到罗马的领土部门加剧了Policlinico Umberto I急诊室人满为患的情况；导致情况的改善；增强对本地区可用服务的认识和知识，使患者与常规医生（全科医生，GP）或地方医疗部门之间的关系更加紧密，并使急诊室的运作效率更高。特别是，我们精心制作了一个“源”图，从中可以得出所有其他图，这是一个点图，所有白色代码都已通过地理编码在卫星图像上进行了地理定位。根据数据汇总，我们根据数据汇总在绝对值和相对值的基础上，在人口普查区，人口普查区和市辖区构建了三组，每组由三个数字制图细节组成。并使用不同的模板。最后，按照相同的方法和步骤，我们详细阐述了关于所有红色代码的另一个点图，以提供另一种信息和社会实用性输入。在不久的将来，可以在一个平台上对该系统进行测试，该平台可以近乎实时地对急诊室（ED）的访问进行空间分析，以便于识别关键的领土问题并在更短的时间内进行干预，以规范应急人员的涌入。患者去急诊室。