SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT

Inefficiency of service and the waiting time can occur in inpatient services, especially in VIP rooms. Reduction in waiting lists for patients entering the VIP room is carried out by increasing the bed capacity and the allocation of health workers. The study was conducted by modeling the service sys...

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Autores principales: Frylie Frescia Falen, Subagyo Subagyo
Formato: article
Lenguaje:EN
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Publicado: Universitas Gadjah Mada 2019
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Acceso en línea:https://doaj.org/article/d3f1bb5ac4d64cc6acac479072d661f1
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spelling oai:doaj.org-article:d3f1bb5ac4d64cc6acac479072d661f12021-11-14T03:34:21ZSIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT2089-61312443-131110.22146/teknosains.35011https://doaj.org/article/d3f1bb5ac4d64cc6acac479072d661f12019-01-01T00:00:00Zhttps://jurnal.ugm.ac.id/teknosains/article/view/35011https://doaj.org/toc/2089-6131https://doaj.org/toc/2443-1311Inefficiency of service and the waiting time can occur in inpatient services, especially in VIP rooms. Reduction in waiting lists for patients entering the VIP room is carried out by increasing the bed capacity and the allocation of health workers. The study was conducted by modeling the service system in hospitalization, which began from the patient service at the Emergency Room (IGD) until service in the VIP room of a hospital in Sukabumi. The model was built with 2 scenarios, scenario 1 was designed to improve the performance of the IGD by adding beds and health workers so that patients had an alternative choice in class 1 before getting service in the VIP room, and scenario 2 was designed by not changing the system in the emergency room, but adding 10 VIP rooms. Scenario 2 is a solution and can visually improve the VIP service system by reducing the waiting time by 50.55 hours, with the investment value of net present value (NPV) > 0 and internal rate of return (IRR) 32.2%, against the Minimum Attractive Rate of Return (MARR) 12% per year profitable. Scenario 2 by adding 10 VIP rooms, initially 25 units to 35 units, effectively being able to produce improvements in significantly reducing the waiting list originally from 50.94 hours to 39 minutes there was a decrease (99.23%), and could reduce the utility level or busyness of service in VIP was originally 93.49% to 87.19%. From the results of NPV analysis > 0, and IRR 32.2% assuming MARR 12% per year, constructing 10 VIP rooms in 5 years can give a profit of 20.2% per year. Scenario 2 can be used as the basis for hospitals in making inpatient service system policies, especially in VIP rooms.Frylie Frescia FalenSubagyo SubagyoUniversitas Gadjah Madaarticlebedhospitalinvestmentmodelingvip roomwaiting listTechnologyTTechnology (General)T1-995ScienceQScience (General)Q1-390ENIDJurnal Teknosains: Jurnal Ilmiah Sains dan Teknologi, Vol 8, Iss 1, Pp 13-25 (2019)
institution DOAJ
collection DOAJ
language EN
ID
topic bed
hospital
investment
modeling
vip room
waiting list
Technology
T
Technology (General)
T1-995
Science
Q
Science (General)
Q1-390
spellingShingle bed
hospital
investment
modeling
vip room
waiting list
Technology
T
Technology (General)
T1-995
Science
Q
Science (General)
Q1-390
Frylie Frescia Falen
Subagyo Subagyo
SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
description Inefficiency of service and the waiting time can occur in inpatient services, especially in VIP rooms. Reduction in waiting lists for patients entering the VIP room is carried out by increasing the bed capacity and the allocation of health workers. The study was conducted by modeling the service system in hospitalization, which began from the patient service at the Emergency Room (IGD) until service in the VIP room of a hospital in Sukabumi. The model was built with 2 scenarios, scenario 1 was designed to improve the performance of the IGD by adding beds and health workers so that patients had an alternative choice in class 1 before getting service in the VIP room, and scenario 2 was designed by not changing the system in the emergency room, but adding 10 VIP rooms. Scenario 2 is a solution and can visually improve the VIP service system by reducing the waiting time by 50.55 hours, with the investment value of net present value (NPV) > 0 and internal rate of return (IRR) 32.2%, against the Minimum Attractive Rate of Return (MARR) 12% per year profitable. Scenario 2 by adding 10 VIP rooms, initially 25 units to 35 units, effectively being able to produce improvements in significantly reducing the waiting list originally from 50.94 hours to 39 minutes there was a decrease (99.23%), and could reduce the utility level or busyness of service in VIP was originally 93.49% to 87.19%. From the results of NPV analysis > 0, and IRR 32.2% assuming MARR 12% per year, constructing 10 VIP rooms in 5 years can give a profit of 20.2% per year. Scenario 2 can be used as the basis for hospitals in making inpatient service system policies, especially in VIP rooms.
format article
author Frylie Frescia Falen
Subagyo Subagyo
author_facet Frylie Frescia Falen
Subagyo Subagyo
author_sort Frylie Frescia Falen
title SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
title_short SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
title_full SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
title_fullStr SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
title_full_unstemmed SIMULASI ANTRIAN PASIEN RAWAT INAP UNTUK MENGURANGI WAITING LIST VIP DI RUMAH SAKIT
title_sort simulasi antrian pasien rawat inap untuk mengurangi waiting list vip di rumah sakit
publisher Universitas Gadjah Mada
publishDate 2019
url https://doaj.org/article/d3f1bb5ac4d64cc6acac479072d661f1
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AT subagyosubagyo simulasiantrianpasienrawatinapuntukmengurangiwaitinglistvipdirumahsakit
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