Hasil Pencarian

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Hasil Pencarian

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Wulan Anggraini
"RSUP memiliki standar Emergency Respon Time2 (ERT2) yang merupakan waktu yang dibutuhkan untuk pasien untuk mendapatkan tindakan operasi cito yaitu < 120 menit (2 jam), yang diharapkan dapat dicapai sebagai dasar penilaian kinerja unit IGD dan kinerja Dirut RSUP Fatmawati. Data bulan januari-juni 2015, menunjukan terjadinya keterlambatan pelayanan preoperasi cito yaitu pasien dengan Cerebrovaskuler Stroke Hemorraghic Disease (CVD SH) hingga 7 jam 28 menit. Penelitian ini dilakukan secara kualitatif menggunakan pendekatan lean hospital dengan melihat alur proses tahapan preoperasi cito. Sampel berdasarkan Purposive Sampling.
Hasil penelitian dengan value assessment yang dipetakan dengan value stream mapping (VSM) menunjukkan value added activity (VA) sebesar 10%, non value added activity (NVA) sebesar 90%. Analisis waste teridentifikasi enam jenis masalah yang dikelompokkan kedalam Fishbone Diagram menjadi empat yaitu man,material, methode dan environment.
Rekomendasi perbaikan dilakukan dalam 2 tahap yaitu jangka pendek serta jangka menengah-panjang untuk mengeliminasi pemborosan (waste) dan membentuk skema future flowchart. Penelitian ini menunjukan penyebab keterlambatan berdasarkan hasil analisis kegiatan berdasarkan waktu dalam setiap tahapan.

RSUP has a standard Emergency Response Time 2 (ERT2) which is taken for patients to get emergency surgery service. The standart time is < 120 minutes (2 hours), which is expected to be achieved as a basis for performance assessment and emergency unit RSUP Fatmawati CEO's performance. Based on data in January-June 2015 shows emergency service time that patients with preoperative cerebrovascular Hemorraghic Stroke Disease (CVD SH) up to 7 hours 28 minutes. with the longest time is 9 hours 28 minutes. This research uses qualitatively using a lean approach to by observing preoperative each step of emergency process. This research uses purposive sampling methode.
Results of research with value assessment with value stream mapping (VSM) activity shows the value added (VA) by 10%, non-value added activity (NVA) by 90%. Waste analysis identifies six types which are grouped into four Fishbone Diagram such as man, material, method and environment.
Recommendations for improvements carried out in two stages: short-term and medium-long term to eliminate waste and form a flowchart futures scheme. This research shows causes of delay based on the results of the analysis of time-based activities in each phase.
"
Lengkap +
Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2016
S62235
UI - Skripsi Membership  Universitas Indonesia Library
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A.A.N. jaya Kusuma
"Penelitian ini dilakukan berdasarkan pengamatan terhadap lamanya waktu
pelayanan gawat darurat di Instalasi Gawat Darurat RSUP Sanglah Denpasar
tahun 2012, dimana kondisi ini mempunyai potensi untuk terjadinya kejadian
yang tidak diharapkan dan menurunkan kepuasan pasien.
Peneilitian dilakukan dengan rancangan kuantitatif dan kualitatif. Dilakukan
observasi terhadap 450 pasien dalam kurun waktu 14 Januari sampai 19 Januari
2013 dengan pendekatan Constraint Lean Six Sigma dicari penyebab, hambatan,
pemborosan serta defek pada proses pelayanan pasien gawat darurat.
Median waktu pelayanan gawat darurat sebesar 219 menit., penyebab
lamanya waktu pelayanan oleh karena belum ada panduan praktek klinik
kegawatdaruratan, hambatan pada pelayanan radiologi, pemborosan terjadi pada
waktu tunggu antara penegakkan diagnosis ke tindakan dan antara tindakan ke
keputusan untuk keluar dari Instalasi Gawat Darurat. Level kualitas sigma sebesar
2,9 sigma dengan nilai defek sebesar 86.762 DPMO.
Diperlukan panduan praktek klinik untuk memandu proses pelayanan gawat
darurat agar menjadi efektif,efisien dan aman untuk pasien dan proses bisnis
rumah sakit.

This research based on issues regarding the time of emergency service at
Emergency Instalation Sanglah Hospital was too long in 2012, since that situation
had increased the adverse event and decreasing patient satisfaction.
Quantitative and qualitative design was performed by doing observation of
450 emergency patient beginning from January 14th until January 19th
The median value of emergency service time was 219 minute due to the
absence of clinical practice guideline.The constraint was at radiology
examination, wasting time due to delay of waiting time from diagnosis to
procedure and from procedure to discharge dispotition. Sigma Quality level for
Emergency Service at 2,9 Sigma with defects Possibility was 86.762 DPMO.
using
Contstraint Lean Six Sigma approach to identify causes, constraints, wastes and
defects in service process.
This study suggest that clinical practice guidelines is needed to guidance
emergency service process in effort to become more effective, efficient, safe for
the patient and hospital business process.
"
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2013
T-pdf
UI - Tesis Membership  Universitas Indonesia Library
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Widia Puspa Hapsari
"[ 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.
]"
Lengkap +
Depok: Universitas Indonesia, 2016
S62100
UI - Skripsi Membership  Universitas Indonesia Library
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Ahmad Riza`i
"Instalasi Gawat Darurat IGD adalah gerbang utama masuknya pasien gawat darurat,sehingga dibutuhkan pelayanan yang cepat, tepat, cermat dan alur proses yang lancardan bebas hambatan. Yang menjadi hambatan pelayanan pasien IGD adalah adanyabottleneck proses mulai dari pasien datang sampai dengan pasien keluar sehinggaberdampak pada turn arround time TAT melebihi dari standar yang dtetapkan olehrumah sakit yaitu le; 8 jam.
Penelitian ini bertujuan untuk melakukan analisis alurproses pelayanan pasien gawat darurat dengan menggunakan lean six sigma tools.Desain penelitian ini adalah analisa kualitatif dengan metode observational actionprocess research dan kerangka acuan DMAI Define, Measure, Analyse, Improve .Pengambilan data dengan observasi alur proses pelayanan pasien, telaah dokumen danwawancara mendalam di Instalasi Gawat Darurat RSUP Nasional Dr. CiptoMangunkusumo.
Hasil penelitian dari 369 pasien terdapat 166 44.98 memilikiTAT > 8 jam dengan rata ndash; rata waktu pelayanan pada saat datang 5.30 menit, triage4.09 menit, registrasi 7.10 menit, evaluasi dan tatalaksana awal 60.10 menit, zonapelayanan 535.14 menit, permintaan obat ke satelit farmasi 34 menit, pemeriksaanlaboratorium 66.47 menit, pemeriksaan radiologi 98 menit, dan pasien pulang 20.24menit, rawat 50.30 menit, rujuk 110 menit dan meninggal 72.50 menit. Persentase NonValue Added 59 dan perhitungan Six Sigma berada di level sigma 3 yangmemungkinkan terdapat 66.807 melebihi TAT dari 1 juta kesempatan.
Hasil analis fishbone menunjukkan adanya bottelneck di setiap proses terutama di zona pelayanandengan penyebab yaitu menunggu diperiksa, menunggu hasil pemeriksaan penunjang,menunggu alat, obat dan alat kesehatan, menunggu disposisi, menunggu discharge danmenunggu ruang rawat.
Penelitian ini menyimpulkan bahwa alur proses pelayananpasien IGD tergolong un-lean dan berada di level sigma 3 sehingga diperlukan upayaperbaikan terus menerus Kaizen dengan desain ulang pelayanan mulai dari pro aktiftriage, mengaktifkan zona hijau, advanced patient tracking, ruang intermediate warduntuk pasien boarding dan layanan ambulans melalui anggota tim gerak Lean SixSigma.

Emergency Room ER is the main gate of emergency patients that required a fast,precise, and careful service. One of challenges in ER is bottleneck process start frompatients arrived until patients discharged. This may cause to the Turn Around Time TAT exceeds the standard of 8 hours.
This research aimed to analyse the flowprocess of patient's care in ER using Lean Six Sigma Tools. Design used in this studyis qualitative analysis by method of observational action process research andreference of DMAI Define, Measure, Analyze, and Improve. Data were collected byobservation to process of patient's care, document review and in depth interview inER of National Referral Hospital of Dr. Cipto Mangunkusumo.
Results of this study,166 44,98 from 369 patients have TAT 8 hours with average service time patients arrived 5.30 minutes, triage 4.09 minutes, registration 7.10 minutes,evaluation and initial treatment 60.10 minutes, service zone 535.14 minutes, takingmedicines to pharmacy 34 minutes, laboratory check 66.47 minutes, radiologyexamination 98 minutes, patients discharge 20.24 minutes, to be admission 50.30minutes, refer to another hospital 110 minutes, death 72.50 minutes. Percentage ofNon Value Added is 59 and calculation of Six Sigma is in Level Sigma 3 thatallows there to be 66,807 over TAT of 1 million occasions.
Fishbone analysis shows that there is bottleneck in each process, especially in service zone with varietiescauses of waiting to be checked assessed, waiting for laboratory check or radiologyexamination, waiting for medicines and medical devices, waiting for disposition,waiting to be discharged and waiting for admission.
This study concludes that theflow processes of patient's care in ER is classified as un lean and stand in level sigma3. Therefore it is required continuous improvement Kaizen by re design of servicesstart from pro active triage, green zone activation, advanced patient tracking, intermediate ward for boarding patients and ambulance service through Lean SixSigma team.Keyword Flow Process, Emergency Room, Lean Six Sigma.
"
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2018
T49469
UI - Tesis Membership  Universitas Indonesia Library
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Dwi Satrio
"Penelitian ini dilatarbelakangi bahwa Instalasi Gawat Darurat (IGD) merupakan suatu unit pelayanan di Rumah Sakit (RS) yang diperuntukkan untuk memberikan pelayanan kepada pasien dengan kondisi yang mengancam jiwa dan memerlukan penanganan cepat dan tepat, khususnya pada pasien dengan kondisi kritis yang memerlukan perawatan di ruang ICU.
Tujuan penelitian ini adalah untuk mengetahui gambaran umum waktu tunggu pasien dengan kondisi kritis di IGD, faktor-faktor yang mempengaruhi waktu tunggu pasien ICU, serta hubungan waktu tunggu pasien ICU dengan mortalitas pasien ICU, lama rawat di ICU, dan lama rawat di RS.
Jenis penelitian merupakan cross sectional retrospektif dengan pendekatan kuantitatif. Data didapatkan dengan mengolah rekam medis pasien dengan kondisi kritis yang memerlukan ICU melalui IGD, laporan kekhadiran/absensi analis dan radiografer, serta biodata/isian singkat yang diberikan pada dokter-dokter di IGD.
Hasil penelitian menunjukkan bahwa rata-rata waktu tunggu pasien ICU di IGD sebesar 140 menit. Sebagian variabel yang diteliti tidak ada hubungan bermakna dengan waktu tunggu. Variabel yang berhubungan adalah jumlah radiografer, status rujukan pasien, umur pasien, cara bayar dan jenis kelamin. Sedangkan faktor yang paling berhubungan adalah status rujukan.
Disarankan untuk RS agar dapat meningkatkan mutu pelayanan secara keseluruhan dan memperpendek waktu tunggu pasien yang memerlukan ICU melalui IGD. Hal yang dapat dilakukan adalah membuat SOP khusus dalam penanganan pasien dengan kondisi kritis khususnya pada pasien dengan status non rujukan serta mengevaluasi manajemen SDM pada layanan-layanan penunjang medis. Selain itu juga pemerintah atau rumah sakit dapat memperbaiki sistem komunikasi dalam rujukan berjenjang sehingga mempercepat persiapan dan pemindahan pasien-pasien yang memerlukan rujukan ke rumah sakit dengan fasilitas yang lebih lengkap.

This research is motivated that the Emergency Care Unit/Emergency Room (ER) is a service unit at the Hospital that intended to provide services to patients with a life-threatening condition and requires prompt and appropriate treatment, especially in patients with critical conditions that require treatment in the ICU.
The purpose of this study was to determine the general description of the waiting time of patients with critical conditions in the ER, the factors that influence the ICU patient waiting time, and the relationship of ICU patient waiting time with ICU mortality, length of stay in the ICU, and length of stay in hospital.
The type of research was a cross-sectional retrospective study with a quantitative approach. Data obtained by processing the medical records of patients with critical conditions that require intensive care through the emergency room, reports attendance of laboratory analyst and radiographer, as well as bio / short answer given to the doctors in the ER.
The results showed that the average ICU patients waiting time in the ER was 140 minutes. Variables showed significant relationship with the waiting time was the number of radiographers, patient referral status, age of the patient, patient paying way and gender. While most related factor is the status of the referral.
In order to improve the overall service quality and shorten the waiting time of patients who require ICU through IGD, it is recommended for hospital to make a specific SOP in handling patients with critical conditions particularly in patients with a non referral status, also evaluates the human resources management in medical support services. Besides that, government or hospital can improve communication in referral tiered system to expedite the preparation and transfer of those patients requiring referral to hospital with better amenities.
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2013
T34901
UI - Tesis Membership  Universitas Indonesia Library
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Nur Afni Intan Pratiwi
"Implementasi IPM melalui SAMRS oleh teknisi elektromedik IPSSRS RSUP Fatmawati belum dilaksanakan secara optimal, ditunjukkan dengan adanya perbedaan antara capaian IPM dalam kontrak kinerja pegawai dengan report IPM melalui SAMRS. Penelitian ini dilakukan untuk mendapatkan hasil analisis implementasi inspection preventive maintenance berbasis web sistem aset manajemen rumah sakit dengan technology acceptance model di RSUP Fatmawati. Penelitian ini merupakan jenis penelitian operasional yang bersifat kualitatif. Metode yang digunakan adalah observasi, telaah dokumen, dan wawancara mendalam. Hasil penelitian digambarkan dengan matriks hasil wawancara mendalam untuk mengetahui faktor-faktor yang memengaruhi implementasi IPM melalui SAMRS. Berdasarkan hasil analisis menggunakan technology acceptance model, diketahui akar penyebab implementasi IPM melalui SAMRS tidak optimal akibat kurangnya sumber daya elektromedik di RSUP Fatmawati. Faktor lain penyebab implementasi IPM melalui SAMRS tidak optimal karena IPM melalui SAMRS belum menjadi laporan wajib teknisi elektromedik dan kurangnya waktu yang dibutuhkan oleh teknisi elektromedik untuk pencatatan hasil IPM melalui SAMRS. Berdasarkan analisis tersebut diberikan usulan berupa penghitungan analisis beban kerja teknisi elektromedik terhadap jumlah alat medik di RSUP Fatmawati yang dilakukan inspection preventive maintenance dan merubah sistem pelaporan IPM teknisi elektromedik kepada kepala IPSSRS dari manual menjadi digital melalui SAMRS.

The implementation of IPM through SAMRS by IPSSRS electromedic technician at RSUP Fatmawati has not been carried out optimally, as indicated by the differences between the achievement of IPM in employee performance contracts with IPM reports through SAMRS. This research was conducted to obtain the results of the implementation analysis of a web-based inspection preventive maintenance system of hospital management with technology acceptance models at RSUP Fatmawati. The type of this research is qualitative operational research. The method used are observation, literature review, and in-depth interviews. The results of the study are illustrated by a matrix of in-depth interviews to find out the factors that influence the implementation of IPM through SAMRS. Based on the analysis using the technology acceptance model, the main cause of the implementation of IPM through SAMRS is not optimal due to the lack of electromedic resources in RSUP Fatmawati. The other factors causing the nonoptimal implementation of IPM through SAMRS are IPM through SAMRS has not become a mandatory report on electromedical technicians and the lack of time required by electromedical technicians to record the results of IPM through SAMRS. Based on the analysis it can be proposed that electromedical technician workload calculation of the number of medical devices in RSUP Fatmawati which is carried out by preventive maintenance inspection and changes the electromedic technician's IPM reporting system to the IPSSRS head from manual to digital via SAMRS is suggested as the recommendation to resolve the problem."
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2020
S-pdf
UI - Skripsi Membership  Universitas Indonesia Library
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Gustiane Adriani Dwisari
"Pelayanan di Instalasi Gawat Darurat (IGD) memegang peran penting dalam menentukan kualitas pelayanan dan keselamatan pasien di rumah sakit. Indikator kinerja IGD, seperti Length of Stay (LOS), yang mengukur lama pasien d IGD dari kedatangan hingga pemulangan atau pemindahan, dapat memengaruhi tingkat kepadatan di IGD. Penelitian ini bertujuan untuk mengidentifikasi alur pelayanan, hambatan, dan akar penyebab masalah terkait LOS di IGD. Pengumpulan data dilakukan pada bulan April-Mei 2024 dengan pendekatan kualitatif studi kasus, berupa observasi pada 30 pasien, wawancara, dan telaah dokumen. Analisis data menggunakan flowchart untuk mengidentifikasi alur pelayanan, Value Stream Mapping untuk mengenali kegiatan bernilai dan menemukan waste, serta The Five Whys untuk menganalisis akar penyebab hambatan. Metode Lean Thinking digunakan untuk menghasilkan alur dan Model BAS (Baseline, Assess, Suggest Solution) dari Model BASICS. Hasil penelitian menunjukkan bahwa alur pelayanan pasien IGD melibatkan lima tahapan; dengan 65,5% waktu pelayanan adalah kegiatan non-value added, 23,4% kegiatan necessary but non-value added, dan 11,1% kegiatan value added, dengan total Lead Time 7 jam 55 menit 29 detik. Dari sisi pasien, waste yang terjadi meliputi waste of waiting (94,9%) dan transportation (5,1%). Bottleneck terjadi pada aktivitas menunggu terdaftar di rawat inap (25,2%), menunggu advis DPJP (22,9%), menunggu hasil pemeriksaan penunjang (22,3%), dan menunggu kesiapan rawat inap (18,2%), dengan total 88,6%. Perbaikan LOS di IGD dapat menggunakan lean tools seperti standardized work, visual management, heijunka, kaizen, dan just in time agar waste dapat dikurangi.

Emergency Department (ED) services play a crucial role in determining the quality of care and patient safety in hospitals. Performance indicators in the ED, such as Length of Stay (LOS) which measures the duration from a patient's arrival to their discharge or transfer can significantly impact the congestion levels in the ED. This study aims to identify the service flow, obstacles, and root causes of issues related to LOS in the ED. Data collection was conducted from April to May 2024 using a qualitative case study approach, including observations of 30 patients, interviews, and document reviews. Data analysis involved using flowcharts to identify the service flow, Value Stream Mapping to recognize value-added activities and identify waste, and The Five Whys to analyze the root causes of obstacles. Lean Thinking methodology was applied to develop a service flow and the BAS (Baseline, Assess, Suggest Solution) model from the BASICS model. The study results show that the patient service flow in the ED involves five stages, with 65.5% of service time consisting of non-value-added activities, 23.4% of necessary but non-value-added activities, and 11.1% of value-added activities, resulting in a total lead time of 7 hours, 55 minutes, and 29 seconds. From the patient's perspective, the waste observed includes waiting (94.9%) and transportation (5.1%). Bottlenecks were identified in activities such as waiting to be registered for inpatient care (25.2%), waiting for specialist advice (22.9%), waiting for the results of supporting examinations (22.3%), and waiting for inpatient readiness (18.2%), totaling 88.6%. Improving LOS in the ED can utilize lean tools such as standardized work, visual management, heijunka, kaizen, and just-in-time to reduce waste."
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2024
S-pdf
UI - Skripsi Membership  Universitas Indonesia Library
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Jessica Florencia
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Pilihan terkait struktur keputusan dengan tingkat sentralisasi lebih tinggi atau rendah sangat penting karena mempengaruhi aktivitas dan proses pengambilan keputusan perusahaan dalam situasi tidak menentu. Unit gawat darurat (UGD) merupakan bagian kritis dan utama dari sebuah rumah sakit. Ada beberapa keputusan krusial yang harus diambil secepatnya dalam situasi tidak menentu dan dengan berbagai kendala dan Batasan di UGD, termasuk penjadwalan sumber daya. Eksplorasi struktur pengambilan keputusan untuk keputusan terkait penjadwalan sumber daya dibutuhkan untuk memperbaiki alur proses pasien di UGD. Riset di tesis ini mengeksplorasi struktur keputusan dengan tingkat sentralisasi yang berbeda, yaitu model keputusan pusat atau tersentral (centralised) dan terdesentralisasi (decentralised) untuk penjadwalan perawat ke pasien di UGD, dan membandingan model ini dengan praktik penjadwalan berbasis manajemen prioritas atau FIFO yang saat ini dilakukan di UGD. Riset ini mengembangkan penjadwalan tersentral dengan versi dinamis dari penjadwalan dengan Mixed Integer Linear Programming (MILP) dan mengembangkan penjadwalan terdesentralisasi dengan system multi agen yang menjalankan Contract Net Protocol (CNP) dimana setiap agen mengoptimasi secara lokal variasi dari penjadwalan dengan MILP dan berinteraksi dengan agen lain untuk bertukar pasien. Hasil penjadwalan dari ketiga model ini didapat dengan menggunakan dataset dan dibandingkan. Hasil perbandingan menunjukan bahwa model tersentral menghasilkan jadwal terbaik, diikuti dengan model terdesentralisasi yang diajukan.


The choice of decision structure with a more or lesser degree of centralisation (or decentralisation) is important since it affects the operation and decision-making process of enterprises in uncertain situations. The Emergency Department (ED) is the critical and main part of the hospital. There are various crucial decisions to be taken quickly under uncertainty and constraints in EDs, including resource scheduling. The exploration of the decision structure for this decision is required to improve the patients’s pathway. This thesis work explores the (de-)centralisation of decision, i.e., centralised and decentralised models of nurse-to-patient scheduling in ED and compares it to the current practice in ED based on priority management, which is called First in First Out (FIFO) model. We base our centralised scheduling on a dynamic version of scheduling Mixed Integer Linear Programming (MILP), and our decentralised scheduling makes a multi-agent system run a Contract Net Protocol (CNP) in which the agents locally optimise a variant of this MILP and interact with others to exchange patients. We generate results using the datasets and compare the results produced by the three models, namely FIFO, centralised, and decentralised model. The result shows that the centralised model performs best, followed by the decentralised model proposed.

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Lengkap +
Depok: Fakultas Teknik Universitas Indonesia, 2023
T-pdf
UI - Tesis Membership  Universitas Indonesia Library
cover
Parmin
"Manajemen sebagai seni memperoleh hasil melalui kegiatan orang lain dalam rangka mencapai tujuan yang telah ditetapkan sebelumnya. Fungsi-fungsi manajemen terdiri dari perencanaan, pengorganisasian, pengarahan dan pengawasan. Fenomena yang didapatkan di RSUP Undata Palu, fungsi manajemen kepala ruangan belum terlaksana dengan maksimal sesuai dengan tugas dan tanggung jawab sebagai kepala ruangan.
Penelitian ini menggunakan desain deskriptif korelasi dengan pendekatan cross sectional yang bertujuan untuk mengidentifikasi bagaimana hubungan pelaksanaan fungsi manajemen kepala ruangan dengan motivasi perawat pelaksana di ruang rawat inap RSUP Undata Palu. Populasi dalam penelitian ini adalah 203 perawat pelaksana yang bertugas di 11 ruang rawat inap. Jumlah sampel penelitian ini adalah 149 perawat pelaksana. Proses analisa data menggunakan uji chi square untuk menguji hubungan pelaksanaan fungsi manajemen kepala ruangan dengan motivasi dan regresi logistik ganda menguji variabel yang paling dominan berhubungan dengan motivasi perawat pelaksana.
Hasil penelitian menunjukkan pelaksanaan fungsi manajemen kepala ruangan baik 50,3 %, motivasi perawat pelaksana baik 53,7 %. Ada hubungan yang bermakna antara fungsi manajemen perencanaan, pengorganisasian, pengarahan dan pengawasan dengan motivasi perawat pelaksana, (p value 0,032, 0,022, 0,002, 0,003), karakteristik perawat pelaksana (umur, jenis kelamin, lama kerja, status perkawinan) tidak ada hubungan dengan motivasi perawat pelaksana (p value 0,949, 0,402, 0,0677, 0,575), sedangkan karakteristik pendidikan ada hubungan dengan motivasi perawat pelaksana (p value 0,045).
Peneliti menyimpulkan bahwa variabel fungsi manajemen kepala ruangan yang paling berhubungan dengan motivasi adalah fungsi pengarahan dan fungsi pengawasan setelah dikontrol oleh variabel pendidikan.

Management as the art of getting results through the activiti of others in order to achieve the goals previously set. Management functions are planning, organizing, directing and monitoring. The phenomenon found in RSUP undata Palu, the implementation of management functions with a maximum head room in accordance with the duties and responsibilities as the head of the room.
This research past descriptive correlation design with a cross-sectional approach that aims to identify how the implementation of relationship management functions with head room nurses motivation in implementing inpatient rooms RSUP Undata Palu. Population in this study was 203 nurses who served in 11 treatmant rooms. The number of samples of this study was 149 nurse staff. The process of data analysis using chisquare test to test the implementation of relationship management functions of lower manager with the motivation and multiple logistic regression to test the most dominant variables associated with motivation nurse staff.
The results showed the implementation of management functions of lower manager both 50.3%, well motivated nurses managing 53.7%. There was a significant relationship between management functions of planning, organizing, directing and monitoring by nurses implementing motivation, (p value 0.032, 0.022, 0.002, 0.003), the nurse staff characteristics (age, gender, working time, marriage status) there was no relationship with the nurse staff motivation (p value 0.949, 0.402, 0.0677, 0.575), whereas educational characteristics have a relationship with the nurse staff motivation (p value 0.045).
Researchers concluded that the variable management functions of lower manager most related to motivation is a function of direction and oversight functions are controlled by the variable after education.
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Lengkap +
Depok: Fakultas Ilmu Keperawatan Universitas Indonesia, 2009
T32846
UI - Tesis Open  Universitas Indonesia Library
cover
Mia Aulia Andira
"ABSTRAK
Penelitian ini membahas mengenai proses respond time rekam medis pasien rawat jalan di RSUP fatmawati tahun 2016. Tujuan penelitian ini adalah untuk mendapatkan hasil analisis proses respond time rekam medis pasien rawat jalan. Jenis penelitian yang digunakan adalah operational research yang menggunakan metode kualitatif. Hasil penelitian ini digambarkan dengan value stream mapping yang memperlihatkan adanya value added 18 sebesar dan non value added sebesar 82 . Hasil respond time penelitian ini adalah RSUP Fatmawati sudah mencapai target respond time rekam medis rumah sakit namun belum mencapai target Standar Pelayanan Minimal untuk pendistribusian rekam medis ke poliklinik. Untuk dapat memperlihatkan akar masalah peneliti menggunakan analisa tulang ikan yang dilihat dari man, methode, machine, dan environtmental. Untuk desain perbaikan peneliti mengusulkan beberapa saran berdasarkan lean tools.

ABSTRACT
This study discusses about the medical records respond time of outpatients services at Fatmawati Hospital in 2016. The aim of this study was to get an analysis of medical records respond time of outpatients. This type of research is an operational research that use qualitative methods. The results of this study are described with value stream mapping that showed 18 of value added and non value added by 82 . The results of this study respond time is Fatmawati Hospital already reached the target respond time medical records of hospitals but have not reached the target of Standards Minimun Serviceses for the distribution of medical records to the clinic. To be able to show the root of the problem researcher use fishbone analysis views of man, method, machine, and environmental. To design improvements, researchers proposed some suggestions based on lean tools."
Lengkap +
2016
S66622
UI - Skripsi Membership  Universitas Indonesia Library
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