Modeling of medical care with stochastic Petri Nets

This paper presents a simulation of an ambulatory processes using timed Petri net (TPN). The simulation considers the flow of patients in the biggest Brazilian cardiology hospital. The TPN is used as a decision support system (DSS) to improve the processes, to reduce the waiting time of the patients in the ambulatory and in this way to assure a high-quality service to the patients. Simulations were carried out using the software Visual Object Net++. This is a free software and therefore the presented solution is a low-cost solution. Providing a low-cost solution has a huge importance in this work since the hospital is kept from the government efforts and operates with limited financial resources. The patients’ flow in the hospital can be faced as a service and the modelling and optimization of these services bring more efficiency to the system as well as improve the human factors involved. The results proved that some changes could be made in the processes to improve the performance of the system.

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“…A stochastic PN is proposed in (Leite et al, 2010) to model the medical care provided to patients in the intensive care unit.…”

Section: Related Workmentioning

confidence: 99%

Simulation of the ambulatory processes in the biggest Brazilian cardiology hospital: a petri net approach

Lima

Cortez

Schmidt

et al. 2021

Ind. Jour. Manag. & Prod.

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“…Varshney [ 4 ] presented some specific requirements for the conduct of patient monitoring, proposing wireless networks model-oriented in the monitoring process. Leite [ 5 ] used stochastic Petri Nets in modeling and simulation of medical care performed in the ICU patients. Varady [ 6 ] presented an open architecture system for patient monitoring and Spode [ 7 ] developed a non-invasive remote monitoring system of vital signs.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy model for processing and monitoring vital signs in ICU patients

Leite

Sizilio

Neto

et al. 2011

BioMedical Engineering OnLine

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BackgroundThe area of the hospital automation has been the subject of much research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality).MethodsIn this context, this paper presents a Fuzzy model for helping medical diagnosis of Intensive Care Unit (ICU) patients and their vital signs monitored through a multiparameter heart screen. Intelligent systems techniques were used in the data acquisition and processing (sorting, transforming, among others) it into useful information, conducting pre-diagnosis and providing, when necessary, alert signs to the medical staff.ConclusionsThe use of fuzzy logic turned to the medical area can be very useful if seen as a tool to assist specialists in this area. This paper presented a fuzzy model able to monitor and classify the condition of the vital signs of hospitalized patients, sending alerts according to the pre-diagnosis done helping the medical diagnosis.

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