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Widia Puspa Hapsari
Sistem antrian pelayanan mri dengan model antrian M/M/L (studi kasus instalasi radiologi RSUP Fatmawati) = Queueing system of mri service with M/M/L queueing model (a case study of radiology instalation in RSUP Fatmawati)
"[ ABSTRAK
Sistem antrian yang di terapkan untuk pelayanan MRI Instalasi Radiologi RSUP Fatmawati menghasilkan antrian yang panjang. Berdasarkan hasil telaah dokumen dan observasi terhadap pelayanan perjanjian, didapatkan panjang antrian mencapai 20 hari. Tujuan dari penelitian ini adalah untuk mengetahui kinerja antrian berdasarkan model antrian M/M/1dari Teori Antrian. Melalui teori ini didapatkan komponen antrian yang mempengaruhi sebuah sistem antrian mencakup distribusi waktu antar kedatangan pasien, distribusi waktu pelayanan, pemberi pelayanan atau server, kapasitas sistem, populasi sumber, dan disiplin antrian. Penelitian ini merupakan jenis penelitian studi kasus dengan kuantifikasi. Sehingga pendekatan penelitian yang digunakan adalah kualitatif dan kuantitatif. Pendekatan kualitatif digunakan untuk menjelaskan komponen sistem antrian dimana distribusi waktu antar kedatangan pasien bersifat independen, distribusi waktu pelayanan bervariasi 24 hingga 400 menit, jumlah server 1 kesatuan, populasi sumber yang tidak terbatas, serta pasien yang dilayani berdasarkan kombinasi disiplin Pertama Datang Pertama Dilayani dan disiplin prioritas. Pendekatan kuantitatif digunakan untuk menghitung kinerja sistem antrian sehingga di dapatkan mean jumlah pasien di dalam sistem sebesar 0,889 per jam, Mean jumlah pasien dalam antrian sebesar 0,009 per jam, Utilisasi pelayanan sebesar 88,9%, Distribusi response time sebesar 10,31 jam, dan Mean waktu tunggu sebesar 1.14 jam.
ABSTRACT The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
;The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
;The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
;The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
;The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
, The Queueing system which has been implemented for MRI Service in Radiology Instalation in RSUP Fatmawati results in a long queue. Based on the report and observation to the scheduling service, the queue for MRI examinationm reachs 20 days long. This research aims to measure the queue performance by using M/M/1 queueing model taken from queueing theory. Using this theory, queue components affecting a queueing system includes the interarrival time distribution, service time distribution, number of server, System Capasity, Population source, and Queueing Diciplin. This research is a quantification case study using both qualitative and quantitative method. The qualitative method is used to explain each of the queue components while quantitative method is used to calculate the queue performance. the qualitative method results in an independent interarrival, various service time distribution range from 24 up to 400 minutes, 1 server serves 1 examination at a time, and an infinite source of patients which comes to the queue, and a combination of First Come First served with Priority Queueing Dicipline. Quantitative method results in 0,889 per hour mean number of customer, 0,009 per hour mean number waiting customers, 88,9% of server utilization, 10,31 hour of distribution of response time of a customer, and 1,14 hour distribution of waiting time.
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Depok: Universitas Indonesia, 2016
S62100
UI - Skripsi Membership  Universitas Indonesia Library
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Widia Puspa Hapsari
Analisis implementasi clinical pathway pada kasus typhoid fever rawat inap: studi eksploratif RS PMI Bogor = Implementation analysis of typhoid fever clinical pathway for inpatient care an exploration study of RS PMI Bogor
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Penelitian menganalisis impelementasi Clinical Pathway (CP) Typhoid fever melalui deskripsi utilisasi pelayanan serta tagihannya pada periode sebelum dan sesudah implemenatsi CP. Studi dilakukan di RS PMI Bogor bertujuan untuk mengeksplor siklus pembuatan CP serta utilisasi pelayanan kesehatan yang diberikan sehingga menimbulkan tagihan. Metode kualitatif digunakan untuk menjelaskan tahapan dalam pembuatan CP dan metode kuantitatif digunakan untuk mengeksplor utilisasi layanan dan tagihan yang ditimbulkan serta melihat signifikansi implementasi CP terhadap utilisasi pelayanan dan billing. Simulasi INA-CBG dilakukan akibat temuan dalam penelitian. Data berasal dari sistem informasi rumah sakit, billing dan rekam medis. Hasil penelitian menunjukan bahwa tidak ada signifikansi/perubahan pada utilisasi pelayanan secara statistik p-value >0.05 antara kelompok pada periode sebelum dan sesudah implementasi CP melalui Uji T dan Uji non parametrik Mann-Whitney U dengan tingkat kepercayaan 95%. Namun secara substansi terjadi perubahan tagihan pasca implementasi clinical pathway Typhoid fever dari Rp. 4,269,051 meningkat menjadi Rp. 5,225,384. Setelah dilakukan penyesuaian obat yang berfungsi terapeutik dan simtomatik terhadap Typhoid fever, maka total tagihan menjadi Rp. 4,771,016 dan meningkat menjadi Rp. 5,959,796. Proses pencatatan diagnosis di dalam rekam medis menjadi isu di RS PMI Bogor. Adanya potensi undercode yang mempengaruhi severity level kasus INA-CBGs (A-4-14), rumah sakit berpotensi kehilangan sebesar Rp. 485,200 hingga Rp. 1,450,400.

This research elaborated Typhoid fever Clinical Pathway (CP) implementation which were described using service utilization and the incurred billing before and after the implementation of CP. Study was conducted in PMI hospital Bogor and aimed to explore CP development cycle and the later service utilization delivered and hence, the incurred billing from each period (before and after CP implementation). Qualitative method was used to explore stages in CP development and quantitative method was used to explore the significance of CP implementation to service utilization and the billing. INA-CBGs grouping simulation was conducted due to a research finding. Data were derived from hospital information system, billing, and medical records. Study resulted in no significance of service utilization before and after CP implementation and it was predicted using T-test and Mann-Whitney U test showing p-value >0.05. However, changes in billing substantially changed from IDR 4,269,000 to IDR. 5,225,384. Adjustment was done by excluding drugs other than for therapeutic and symptomatic pursposes resulting in the increment of billings (e.g. IDR. 4,771,016 before and IDR. 5,959,796 after CP implementation). Simulation through INA-CBGs grouping showed that there were potential undercoding from higher severity level of Typhoid fever case (A-4-14). Hospital might subsequently lose IDR 485,200 up to IDR.1,450,400 each case reimbursed.

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2019
T54055
UI - Tesis Membership  Universitas Indonesia Library