An intelligent pre-hospital patient care system
نویسندگان
چکیده
iRevive is a sensor-supported, pre-hospital patient care system for the capture and transmittal of electronic patient data from the field to hospitals. It is being developed by 10Blade and Boston MedFlight. iRevive takes advantage of emerging technologies to offer a robust, flexible, and extensible IT infrastructure for patient data collection.
منابع مشابه
Survey of attitudes about patient safety in pre-hospital emergency operating staff of Mashhad-Iran in 2019
Background and Aims: patient safety is a very important and necessary component and one of the main elements of quality in health and medical organizations, despite this, the patient safety situation in the pre-hospital emergency system is very ambiguous and there is almost no information about adverse complications. Assessing the current safety culture can be a starting point for improving saf...
متن کاملConcept analysis of pre-hospital care: a hybrid model
Background and purpose: Pre-hospital care as a concept is subjective, multidimensional, and ambiguous and associated with health care system. Around whole world has been focused on the importance of burn victims. But pre-hospital emergency care is still an abstract concept. The purpose of the present study was to analyze the concept of care in the context of pre-hospital emergency. Materi...
متن کاملEmergency Medical Technicians’ Ethical Challenges in the Pre-hospital Emergency Services: A Review Article
Introduction: Due to the complexity, stressfulness, and the nature of the threatening situations of pre-hospital activities, Emergency Medical Technicians (EMT) face many ethical challenges in making decisions and providing quick and accurate care to patients. The present study aimed to investigate the ethical challenges among pre-hospital actions. Methodology: To review all published studies,...
متن کاملDesign and Implementation of a Fuzzy Intelligent System for Predicting Mortality in Trauma Patients in the Intensive Care Unit
Introduction: The intensive care unit is one of the most costly parts of the national health sector. These costs are largely attributable to the length of stay in the intensive care unit. For this reason, there are significant benefits in predicting patients' length of stay and the percentage of deaths in intensive care units. Therefore, in this study, a fuzzy logic based intelligent system was...
متن کاملDesign and Implementation of a Fuzzy Intelligent System for Predicting Mortality in Trauma Patients in the Intensive Care Unit
Introduction: The intensive care unit is one of the most costly parts of the national health sector. These costs are largely attributable to the length of stay in the intensive care unit. For this reason, there are significant benefits in predicting patients' length of stay and the percentage of deaths in intensive care units. Therefore, in this study, a fuzzy logic based intelligent system was...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- International journal of electronic healthcare
دوره 3 1 شماره
صفحات -
تاریخ انتشار 2007