Profile of the ORION (Osaka emergency information Research Intelligent Operation Network system) between 2015 and 2016 in Osaka, Japan: a population-based registry of emergency patients with both ambulance and in-hospital records
Profile of the ORION (Osaka emergency information Research Intelligent Operation Network system) between 2015 and 2016 in Osaka, Japan: a population-based registry of emergency patients with both ambulance and in-hospital records
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DOI：
10.1002/ams2.371
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发表时间：
2019-01-01
影响因子：
1.6
通讯作者：
Matsuoka, Tetsuya
中科院分区：
文献类型：
--
作者：
Okamoto, Jun;Katayama, Yusuke;Matsuoka, Tetsuya
目的描述大坂急救信息研究智能操作网络系统（ORION）的注册设计及其医院信息、患者和急救医疗服务特征以及日本大坂府重症监护中心和急救医院所有患者的住院结局。方法大坂府政府开发并引进了紧急患者信息系统（ORION系统），该系统使用智能手机应用程序（app），由现场紧急医疗服务人员选择医院，并积累了所有救护车记录。自2015年1月起，医疗机构获得了有关运送到医疗机构的患者的诊断和结果的信息，ORION系统将这些数据与包括智能手机应用程序数据在内的救护车记录合并。结果2015年1月至2016年12月，共登记符合条件的患者753,301例。平均年龄为58.7岁，51.5%的患者为男性。到达医院后，39.7%住院，58.2%出院，1.1%转院，1.0%死亡。最常见的诊断是受伤、中毒和某些其他外部原因造成的后果。在住院患者中，29.2%继续住院，59.0%出院，5.2%转院，5.8%在住院后21天死亡。最常见的确诊是循环系统疾病。结论使用大坂府自2015年1月开发并运行的ORION系统，我们描述了所有紧急转运到急诊医院的患者的流行病学数据。未来使用ORION数据库进行分析可能会改善紧急运输系统和患者结局。
Aim To describe the registry design of the Osaka Emergency Information Research Intelligent Operation Network system (ORION) and its profile of hospital information, patient and emergency medical service characteristics, and in-hospital outcomes among all patients transported to critical care centers and emergency hospitals in Osaka Prefecture, Japan. Methods The Osaka Prefecture Government has developed and introduced an information system for emergency patients (the ORION system) that uses a smartphone application (app) for hospital selection by on-scene emergency medical service personnel and has been accumulating all ambulance records. Since January 2015, medical institutions have obtained information on the diagnosis and outcome of patients transported to medical institutions, and the ORION system merged these data with ambulance records including smartphone app data. Results From January 2015 to December 2016, 753,301 eligible patients were registered. The mean age was 58.7 years, and 51.5% of patients were male. After hospital arrival, 39.7% were hospitalized, 58.2% were discharged from hospital, 1.1% changed hospital, and 1.0% died. The most common diagnoses were injury, poisoning, and certain other consequences of external causes. Among the hospitalized patients, 29.2% were continuously hospitalized, 59.0% discharged, 5.2% changed hospital, and 5.8% were dead at 21 days after hospitalization. The most common confirmed diagnosis was diseases of the circulatory system. Conclusion Using the ORION system developed and operated by Osaka Prefecture since January 2015, we described the epidemiological data of all emergency patients transported to emergency hospitals. Analysis using the ORION database in the future could lead to improvements in the emergency transport system and patient outcomes.