Modelos de localização e análise econômica de unidade de serviço de atendimento médico de urgência

This study shows how location models such as p-median, p-center, and a proposed variation were employed to improve urgent and emergency care provided through the emergency mobile health units (SAMU). Besides incurring unnecessary additional operational costs, it is important to note that the failure or inefficiency of these mobile units can result in loss of human lives. The SAMU system in question serves a city with a population of approximately 213,576 inhabitants and it handles more than 1,400 calls per year. Operations research techniques like mixed integer linear programming and facility location principles were used to assertively and quantitatively define the best locations for SAMU units. The location problems were solved using the Julia 1.5.0 programming language, and other softwares were also used for organizing the data. The Lagrangian relaxation proved to be an efficient method to solve the problems which are considered NP-hard. Under the different scenarios tested, it was concluded that when compared with the p-median model, the p-center method found the best locations for the emergency mobile health units as it reduced the maximum distance between patient and the mobile units, in addition to other analyses.

Integration of Health Records by Using Relaxed ACID Properties between Hospitals, Physicians and Mobile Units like Ambulances and Doctors

This paper describes an architecture for integrating both stationary health units like hospitals and group physicians with health records of mobile health units like ambulances and doctors at emergency call service. This paper focuses on how it is possible to have high availability in all the integrated health units and at the same time keep the consistency between the health records in the different locations at an acceptable level. In central databases the consistency of data is normally implemented by using the Atomicity, Consistency, Isolation, and Durability (ACID) properties of a Data Base Management System (DBMS) (Gray & Reuter, 1993). This is not possible if mobile databases are involved and the availability of data also has to be optimized. Therefore, this paper describes using relaxed ACID properties across different locations. The objective of designing relaxed ACID properties across different database locations is to make it possible for all the involved locations to operate in disconnected mode and at the same time give the users a view of the data that may be inconsistent across different locations but anyway better than the data in a centralized database with low availability for the users.

Integration of Health Records by Using Relaxed ACID Properties Between Hospitals, Physicians and Mobile Units Like Ambulances and Doctors

This paper describes an architecture for integrating both stationary health units like hospitals and group physicians with health records of mobile health units like ambulances and doctors at emergency call service. This paper focuses on how it is possible to have high availability in all the integrated health units and at the same time keep the consistency between the health records in the different locations at an acceptable level. In central databases the consistency of data is normally implemented by using the Atomicity, Consistency, Isolation, and Durability (ACID) properties of a Data Base Management System (DBMS) (Gray & Reuter, 1993). This is not possible if mobile databases are involved and the availability of data also has to be optimized. Therefore, this paper describes using relaxed ACID properties across different locations. The objective of designing relaxed ACID properties across different database locations is to make it possible for all the involved locations to operate in disconnected mode and at the same time give the users a view of the data that may be inconsistent across different locations but anyway better than the data in a centralized database with low availability for the users.