Toward a decision support system for the clinical pathways assessment

Bernardi, Simona; Mahulea, Cristian; Albareda, Jorge

doi:10.1007/s10626-019-00279-9

Cited by 7 publications

(2 citation statements)

References 44 publications

(60 reference statements)

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“…DSS are used for managing tasks in different fields of applications, as for example in stormwater management [21], dental manufacturing production line [22], offshore wind farms [23] and healthcare systems [24,25]. Moreover, a DSS for OR scheduling was proposed in [26] based on a Mixed Integer Linear Programming (MILP) problem [27,28] that takes into account the preference order of the patients.…”

Section: Related Workmentioning

confidence: 99%

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

et al. 2020

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The operation room (OR) is one of the most expensive material resources in hospitals. Additionally, the demand for surgical service is increasing due to the aging population, while the number of surgical interventions performed is stagnated because of budget reasons. In this context, the importance of improving the efficiency of the surgical service is accentuated. The main objective of this work is to propose and to evaluate a Decision Support System (DSS) for helping medical staff in the automatic scheduling of elective patients, improving the efficiency of medical teams’ work. First, the scheduling criteria are fixed and then the scheduling problem of elective patients is approached by a mathematical programming model. A heuristic algorithm is proposed and included in the DSS. Moreover, other different features are implemented in a software tool with a friendly user interface, called CIPLAN. Considering realistic data, a simulation comparison of the scheduling obtained using the approach presented in this paper and other similar approaches in the bibliography is shown and analyzed. On the other hand, a case study considering real data provided by the Orthopedic Surgical Department (OSD) of the “Lozano Blesa” hospital in Zaragoza (HCU) is proposed. The simulation results show that the approach presented here obtains similar occupation rates and similar confidence levels of not exceeding the available time than approaches in the bibliography. However, from the point of view of respecting the order of the patients in the waiting list, the approach in this paper obtains scheduling much more ordered. In the case of the Orthopedic Surgical Department of the “Lozano Blesa” hospital in Zaragoza, the occupation rate may be increased by 2.83%, which represents a saving of 110,000 euros per year. Moreover, medical doctors (who use this tool) consider CIPLAN as an intuitive, rapid and efficient software solution that can make easier the corresponding task.

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Section: Related Workmentioning

confidence: 99%

A Decision Support System for Elective Surgery Scheduling under Uncertain Durations

et al. 2020

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“…The paper of (Bernardi, Mahulea & Albareda, 2019) presents a decision support system to be used in hospital management tasks which is based on the clinical pathways. They propose a very simple graphical modeling language based on a small number of primitive elements through which the medical doctors could introduce a clinical pathway for a specific disease.…”

Section: Independent Journal Of Management and Production (Ijmandp)mentioning

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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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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