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The green hospital concept is a change management that is a necessity in hospitals that can significantly reduce energy consumption, increase comfort and productivity and preserve sustainable natural resources. In providing health services, hospitals use a number of energy, including electricity, water, fuel, patients food and building materials. In addition, hospitals also produce medical and non-medical waste. This can be a contribution to climate change if it is not managed properly. This study assesses the readiness of Prof. Dr. dr. Mahar Mardjono National Brain Center Hospital Jakarta which refers to the national standard of Greenship Green Building Council Indonesia (GBCI). This research is a case study using a qualitative research method approach by making observations to observe and examine various objects in the study, take measurements and fill out checklists on the instruments/tools. From the research results, it is known that the new RSPON can meet the total value of 58 or 49,54% of the maximum 117 values of the total criteria required in Greenship. Based on the acquisition of these values, in accordance with the GBCI Greenship rating, the RSPON building received a Silver rating. To improve the ranking, it can still be done by providing bicycle parking, increasing the area of green open space (RTH), recommissioning, installing energy monitoring systems, recycling organic waste, recycling treated water from WWTPs, conserving clean water, trying to use solar panel technology. and integrating energy efficiency into maintenance programs
Neurological diseases are disorders of the nervous system that can reduce body function. Based on data from the Indonesian Health Survey (2023), one of the diseases with the highest prevalence is neurological disease, namely stroke which has the third highest medical cost after heart disease and cancer. Acupuncture has a significant impact on the treatment of various neurological diseases. The National Brain Center Hospital handles increasingly complex neurology (brain and nerve health) cases. Medical acupuncture is one of the supporting care services at the PON Hospital which has been available since 2021. Based on the service achievement report for the last 3 years, the trend in the number of patients in 2021-2023 is as follows: 496 patients, 727 patients, and a decrease in 2023 with a total of 575 patients. This decrease in the number of visits is inversely proportional to the total number of patient visits at the PON Hospital in the 2020-2024 period which has increased. The purpose of this study was to determine the factors related to the desires of outpatients at the PON Hospital for medical acupuncture services. This study is an observational study with a description of the results of descriptive research. The type of research chosen is cross-sectional research conducted using a questionnaire as a data collection instrument. The theory used as a conceptual framework in this study is the Capability, Opportunity, Motivation – Behavior (COM-B) theory. Based on the results of data analysis in this study, a number of 130 respondents (58% of total respondents) have a desire for medical acupuncture services, the rest, namely 94 respondents (42%) do not have a desire for medical acupuncture services. Perception of service is the factor that most influences the desire for medical acupuncture services.
Electronic prescribing is one of the information systems focusing on automated service that connects doctors and pharmacists, which potentially improves safety care, reduces inefficiencies and prescription errors. Electronic prescribing assists users in delivering their daily works. However, the usefulness factor and benefits of electronic prescribing relies on the user acceptance to optimize the advantages of this technology. This research aims to find and to analyze the effect of user acceptance towards electronic prescribing by using Technology Acceptance Model approach at National Brain Center Prof. Dr. dr. Mahar Mardjono Hospital. The research was conducted in June to July 2020 by employing cross sectional research design and quantitative method approach. The hypothesis testing is developed by using Partial Least Square analysis with a twoway probability where if the value of T-Statistics is higher than 1,96, the effect is significant and meaningful. User acceptance towards electronic prescribing at National Brain Center Prof. Dr. dr. Mahar Mardjono Hospital is categorized as sufficient with a value of 69,6%. The research finds that perceived ease of use was influenced by screen design, terminology and training, while attitude towards using and behavioral intention were influenced by perceived usefulness. The actual system use signifies a decline in electronic prescribing usage and the average value of using manual prescribing was 5,4%. Implementation of electronic prescribing at National Brain Center Prof. Dr. dr. Mahar Mardjono Hospital has been running quite well and it is necessary to increase system capabilities with the aim of improving the performance and quality of hospital services.
Kata kunci: lean thinking, , medication error, swiss chesse model waktu tunggupelayanan
Quality improvement and patient safety are two things that cannot separated and mustbe continuous. Effort to improve quality and patient safety at Outpatient PharmacyPusat Otak Nasional Prof. DR.dr. Mahar Mardjono Hospital is described through theachievement of service indicators according to the hospital minimum service standardsthet have not resched the standard. This study was conducted to analyze the waitingtime for JKN patient medication services and risk activities of medication errors usingprinciples of lean thinking and the swiss cheese model. This type of research isoperational research with qualitative and quantitative approaches. Qualitative data isobtained through the process of observation and document review, while quantitativedata is based on waiting time data from electronic health records and waiting time forobservations. The result showed that the waiting time was 1 hour 3 minutes 11 seconds,with the longest waiting time was in the process of receiving the recipe (30 minutes 42seconds). Value_added activity (79%) was 13 minutes 13 seconds, non value addedactivity (21%) for 49 minutes 21 second. Most of waste is in waiting activities with apresentation time of 92% of the time for non value added. The bottleneck in this studywas taken from the longest waiting time process and the result of the swiss cheesemodel analysis at the assessment and examination stage of drug preparations.Reviewing the waiting time indicator profile for the finished medicine according to theSPM of the hospital. There is a need for workload analysis, and monitoring of thereview of prescription services. Proposed improvements are described in a future statemap by reducing non value added activity which can be directly eliminated withoutintervention.
Key words: lean thinking, medication error, swiss chesse model, medication error,service waiting time.
ABSTRAK Nama : Weny Rinawati Program Studi : Kajian Administrasi Rumah Sakit Judul : Analisis biaya perawatan stroke berdasarkan Clinical Pathway di Rumah Sakit Pusat Otak Nasional Jakarta dalam pelayanan pasien Jaminan Kesehatan Nasional Latar belakang. Masalah yang sering dihadapi pada pelayanan pasien Jaminan Kesehatan Nasional adalah kesenjangan biaya perawatan pasien stroke dengan tarif INA-CBGs. Hal ini terkait dengan biaya perawatan dan Clinical Pathway. Tujuan. Mengetahui biaya perawatan pasien stroke di Rumah Sakit Pusat Otak Nasional. Metoda. Penelitian kuantitatif deskriptif mengikutsertakan 277 subjek penyakit stroke yang diperoleh di Rumah Sakit Pusat Otak Nasional Jakarta selama Januari – Juni 2015. Biaya perawatan stroke dihitung berdasarkan biaya satuan (unit cost) dengan menggunakan metode activity based costing dan Clinical Pathway. Hasil. Biaya satuan perawatan stroke iskemik dan stroke hemoragik berdasarkan Clinical Pathway, dengan memperhitungkan biaya investasi dan biaya gaji, tanpa memperhitungkan jasa medis berturut-turut adalah Rp 311,860,860.83 dan Rp 585,083,610.01; dengan memperhitungkan biaya investasi, biaya gaji, dan jasa medis berdasarkan tarif rumah sakit adalah Rp 321,682,940.73 dan Rp598,929,450.01; dengan memperhitungkan biaya investasi, biaya gaji, dan jasa medis berdasarkan tarif IDI adalah Rp 318,360,860.73 dan Rp 594,333,610.01; tanpa memperhitungkan biaya investasi, biaya gaji, dan jasa medis adalah Rp30,361,681.00 dan Rp25,698,199.46; tanpa memperhitungkan biaya investasi dan biaya gaji, tetapi memperhitungkan jasa medis berdasarkan tarif rumah sakit adalah Rp 40,183,761.00 dan Rp 39,544,199.46; tanpa memperhitungkan biaya investasi dan biaya gaji, tetapi memperhitungkan jasa medis berdasarkan IDI adalah Rp 36,861,681.00 dan Rp 34,948,199.46. Simpulan: Dijumpai selisih biaya perawatan berdasarkan biaya satuan dan Clinical Pathway, baik yang memperhitungkan biaya investasi, gaji, dan jasa medis, maupun tanpa memperhitungkan biaya investasi, gaji, dan jasa medis, dengan tarif layanan existing dan tarif INA-CBGs Kata kunci : biaya, Clinical Pathway, INA-CBGs, stroke
ABSTRACT Name : Weny Rinawati Study Program : Hospital Administration Title : Cost of stroke treatment based on Clinical Pathway in National Brain Center Hospital, Jakarta Background. Problem often encountered in patient care National Health Insurance is the gap between the cost of stroke treatment with INA-CBGs tariff. This is related to the cost of treatment and the Clinical Pathway. Aim. Knowing the cost of stroke treatment in the National Brain Center Hospital Jakarta. Methods. Descriptive quantitative study involving 277 subjects stroke obtained at the National Brain Center Hospital Jakarta during January - June 2015. The cost of stroke treatment are calculated based on the unit cost using activity-based costing method and Clinical Pathway. Results. The unit cost of ischemic stroke and hemorrhagic stroke treatment by Clinical Pathway, taking into account investment costs and salary costs, regardless of medical services is IDR 311,860,860.83 and IDR 585,083,610.01; taking into account investment cost, salary cost, and medical services tariff based hospital is IDR 321,682,940.73 and IDR 598,929,450.01; taking into account investment cost, salary cost, and medical services tariff based IDI is IDR 318,360,860.73 and IDR 594,333,610.01; without taking into account investment cost, salary cost, and medical services are IDR 30,361,681.00 and IDR 25,698,199.46; without taking into account the investment cost and salary cost, but taking into account medical services tariff based hospital is IDR 40,183,761.00 and IDR 39,544,199.46; without taking into account the investment cost and salary cost, but taking into account medical services tariff based IDI is IDR 36,861,681.00 and IDR 34,948,199.46. Conclusion. Found difference in the cost of stroke treatment is based on unit cost and Clinical Pathway, both of which take into account the investment, salaries, and medical services cost, and without taking into account investment, salaries, and medical services cost, with existing services and tariff rates INA-CBGs Keywords: Clinical Pathway, cost, INA-CBGs, stroke
Peningkatan mutu dan keselmatan pasien merupakan dua hal yang tidak bisa dipisaahkan dan harus berkesinambungan. Upaya peningkatan mutu dan keselamatan pasien di Instalasi Farmasi Rumah Sakit Pusat Otak Nasional Prof. DR. dr. Mahar Mardjono digambarkan melalui capaian indicator pelayanan menurut Standar Pelayanan Minimal Rumah Sakit yang belum mencapai standar. Penelitian ini dilakukan untuk menganalisis waktu tunggu pelayanan obat jadi pasien JKN dan aktivitas risiko terjadinaya medication error dengan prinsip lean thinking dan swiss cheese model. Jenis penelitian ini adalah operational research dengan pendekatan kualitatif dan kuantitatif. Data kualitatif diperoleh melalui proses observasi dan telaah dokumen, sedangkan kuantitatif berdasarkan data waktu tunggu dari electronic health record dan waktu tunggu hasil observasi. Hasil penelitian menunjukan waktu tunggu adalah 1 jam 3 menit 11 detik, dengan waktu tunggu terlama adalah pada proses penerimaan resep (30 menit 42 detik). Kegiatan VA (79%) yaitu 13 menit 13 detik. Aktivitas NVA (21%) dengan waktu 49 menit 21 detik. Waste terbanyak adalah pada kegiatan waiting dengan presentasi waktu 92% dari waktu NVA. Bottleneck pada penelitian ini diambil dari proses waktu tunggu terlama dan hasil analisis swiss chesse model pada tahapan pengkajian dan pemeriksaan sediaan obat.Usulan perbaikan berdasarkan hasil analisis proses pengkajian dan pelayanan resep obat jadi ini adalah perlu adanya penyusunan regulasi pengkajian dan pelayanan obat sesuai standar pelayanan kefarmasian, telaah profil indicator waktu tunggu obat jadi sesuai SPM rumah sakit, perlu adanya analisis beban kerja, dan monitoring supervise kajian pelayanan resep obat. Usulan perbaikan digambarkan dalam future state map dengan mereduksi aktivitas NVA yang dapat secara langsung dihapuskan tanpa dilakukan intervensi. Kata kunci: lean thinking, , medication error, swiss chesse model waktu tunggu pelayanan
Quality improvement and patient safety are two things that cannot separated and must be continuous. Effort to improve quality and patient safety at Outpatient Pharmacy Pusat Otak Nasional Prof. DR.dr. Mahar Mardjono Hospital is described through the achievement of service indicators according to the hospital minimum service standards thet have not resched the standard. This study was conducted to analyze the waiting time for JKN patient medication services and risk activities of medication errors using principles of lean thinking and the swiss cheese model. This type of research is operational research with qualitative and quantitative approaches. Qualitative data is obtained through the process of observation and document review, while quantitative data is based on waiting time data from electronic health records and waiting time for observations. The result showed that the waiting time was 1 hour 3 minutes 11 seconds, with the longest waiting time was in the process of receiving the recipe (30 minutes 42 seconds). Value_added activity (79%) was 13 minutes 13 seconds, non value added activity (21%) for 49 minutes 21 second. Most of waste is in waiting activities with a presentation time of 92% of the time for non value added. The bottleneck in this study was taken from the longest waiting time process and the result of the swiss cheese model analysis at the assessment and examination stage of drug preparations. Reviewing the waiting time indicator profile for the finished medicine according to the SPM of the hospital. There is a need for workload analysis, and monitoring of the review of prescription services. Proposed improvements are described in a future state map by reducing non value added activity which can be directly eliminated without intervention. Key words: lean thinking, medication error, swiss chesse model, medication error, service waiting time
