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The Laboratory of Clinical Parasitology, FKUI is a special national referral laboratory for parasitic diseases in Indonesia and has been accredited A, it should be able to set a KPI target for the satisfaction of laboratory users every year greater than 82%. This is not in accordance with Permenpan No. 14 of 2017 concerning the Community Satisfaction Survey for service quality regarding service unit performance of at least 88.31%. This study aims to determine the conditions related to the quality of health services in the Clinical Parasitology Laboratory of FKUI based on 5 Servqual dimensions with a qualitative research method design using a case study design. The study was conducted in October and November 2020 at the Clinical Parasitology Laboratory of FKUI with a total of 13 informants, namely the head of the laboratory, laboratory staff and patients who carried out examinations in the laboratory. The results showed that from the dimension of reliability in terms of human resources, it was actually sufficient, but because the Clinical Parasitology Laboratory of FKUI, apart from accepting patients who came, also carried out research and education, causing double jobs for employees and resulting in one of the causes of the long waiting time for laboratory services. The guarantee dimension is that officers are still considered less skilled in performing actions compared to other laboratories. The dimensions of physical evidence in the laboratory still need to be repaired or considered so that customers can feel comfortable. Researchers suggest that monitoring of SOP implementation by the laboratory coordinator can streamline, the existence of a waiting time indicator to improve laboratory services and workload analysis and workforce adjustment according to workload.
Primary KKP Clinic laboratory examination services are still felt low. Based on the results of a preliminary study of internal quality assurance in the pre-analytical stage, patients complained of non-stopping blood by 3%, there was a 7.5% EDTA tube blood clot, hemolysis occurred by 10.5%. At the analytical stage, there was no evaluation record on the control value while at the post analytic stage there was no verification and validation of the results of the laboratory examination and incomplete patient data on the result sheet as much as 1.5%. This study was conducted to analyze internal quality assurance at the Primary Laboratory Laboratory in the Ministry of Marine Affairs and Fisheries. This research is a qualitative study using in-depth interviews and document review. This research was conducted in March - July 2020. The criteria for the research informants consisted of elements of leadership, executors and users of laboratory services. The results of the study found that there are input components (organizational and management) that have not been fully implemented well, then in broad outline in the procces and output components (pre-analytic, analytic and post-analytic stages) there are inhibiting factors namely incomplete Standard Operating Procedure at each stage. While the supporting factor is the availability of supporting infrastructure for laboratory activities. From the results it can be concluded that the strengthening of laboratory internal quality has not been carried out properly and there are still incomplete references in each component pre-analytic, analytic and post-analytic. It is necessary to monitor the extent of the elements of the organization and management system in order to improve the quality of laboratories, then to support facilities and infrastructure to support laboratory activities. In the pre-analytical, analytic and post-analytic stages, laboratory staff need to add the completeness of the Standard Operating Procedure at each stage.
Activities in the hospital laboratory have risk to occurrence of work accidents effects to laboratory personnel. One of the hazards in laboratory is biological hazard, especially in laboratory that have an activities using biological agents. Biorisk management is needed to control biological hazards. Biosafety is to prevent the risk of pathogen exposure to laboratory personnel. Biosecurity is to prevent misuse of biological agents. RS X has a laboratory that uses bio agents in its activities. This study aims to implement biorisk management using gap analysis ISO 35001: 2019. The study was conducted at the Hospital X laboratory with a population of 6 laboratories and a sample of 4 laboratories that use biological materials in their activities. This study used a descriptive study design with a mixed approach method. The result of this research is that RS X has implemented biorisk management with a total value of 74%, the value obtained is in the good category
ABSTRAK
Rumah sakit sebagai institusi pelayanan umum, membutuhkan sistem informasi yang tepat dan akurat serta cukup memadai untuk meningkatkan pelayanan kepada pasien. Pelayanan rumah sakit tersebut termasuk pelayanan laboratorium. Masalah dalam sistem informasi laboratorium di RSUD Pringsewu adalah input yang manual, proses belum otomatisasi dan output belum tepat waktu dan tidak akurat. Tujuan studi untuk mengembangkan model sistem informasi di instalasi laboratorium, sehingga tersedia data dan informasi untuk mendukung evaluasi pelayanan bagi pihak manajemen. Metode menggunakan model incremental and iterative yaitu menggabungkan elemen-elemen dalam model urutan System Development Life Cycle (SDLC) dengan filosofi iterative. Tahapannya yaitu analisis, desain, pengkodean, dan ujicoba. Analisis dilakukan berdasarkan hasil wawancara mendalam menggunakan kuesioner terhadap beberapa informan, telaah dokumen dan observasi pada instalasi laboratorium. Prototype dirancang menggunakan bahasa pemrograman PHP yang bersifat open source. Sistem informasi diharapkan menghasilkan informasi yang cepat, tepat dan akurat yang dapat digunakan pihak manajemen dalam pengambilan keputusan untuk melakukan evaluasi pelayanan.
ABSTRACT
Hospital as a public service institution, requires precise and accurate information systems, as well as sufficient to improve services to patients. The hospital services including laboratory services. Problems in laboratory information systems in Pringsewu hospitals are manual input, unautomation process and output have not been on time and accurate. Studies aim to develop model of information systems in laboratory installation, so available data and information to support service evaluation for the management. The method uses incremental and iterative models which combine the elements in the model order of the System Development Life Cycle (SDLC) with the iterative philosophy. Stages: analysis, design, coding, and testing. Analysis is performed based on the results of in-depth interviews using questionnaires to some informants, document review and observations on a laboratory installation. Prototype is designed using PHP programming language that is open source. Information system is expected to produce information quickly, precisely and accurately which can be used in management decision-making to evaluate the service.
Waiting time for laboratory test results as a measure of service performance is an important requirement to prove the quality of laboratory services. The timing of the results of laboratory examinations affects the determination of the patient's diagnosis and therapy. The laboratory quality target indicator sets a target waiting time for the examination of chemical laboratory results of 120 minutes. The achievement of the quality indicator targets in 2020 is only 70% of the target set, there are also complaints about the slowness of the inspection results. Preliminary study from January to February 2021 showed 18% waiting time above 120 minutes.methods Lean six sigma focus on improvement by driving sharp improvements in speed, quality and profitability. This research is anoperational research to provide recommendations for improving waiting time for laboratory examinations using the DMAIC method approach consisting of a cycle of Define (defining), Measure (measure), Analyze (analyze), Improve (recommendation for improvement) and Control (Controlling). The results of the study get an overview of the occurrence of waste in the pre-analytical, analytical and post analytic stages which have an impact on the waiting time for laboratory results. The most dominant wastage occurred in the pre-analytic stage. The percentage of value added of laboratory inspection services before the implementation of Lean six sigma is 67.30% and non value added is 33.83%. After the implementation of Lean six sigma, the value added increased by 38.48% to 91.32% and the value added decreased by 28.42% to 8.68%. It was found that there were eight types of waste, most of which were defects, over processing, delays (waiting time), over production. A lot of waste occurs in the preanalytic and post-analytic stages. Sources of waste based on analysis results fishbone are man and method due to quantity of ATLM (Laboratory Medical Technical Analyst) and ineffective handling of laboratory specimens and handover methods. Improvement proposals are prepared using lean tools such as standardized work, visual management, error profiling, and the application of 5S(Short, Stabilize, Shine, Standardize, Sustain) Interventions carried out with the proposed flow of laboratory examinations, specimen handover methods, as well as re-education on handling laboratory specimens and proposed phlebotomy training
