Quality Control Cost Research Articles

THE RELATIONSHIP BETWEEN THE IMPLEMENTATION OF QUALITY COSTS AND EFFORTS TO IMPROVE PRODUCT QUALITY (A CASE STUDY AT PT INDUSTRI JAMU DAN FARMASI SIDO MUNCUL TBK)

The use of herbal medicine products has seen a decline in trust due to a lack of scientific evidence proving their effectiveness, perceptions of unsafe or unhygienic ingredients, and the negative stigma that views herbal medicine as an outdated form of treatment. However, herbal medicine is believed to have fewer side effects due to the use of natural ingredients passed down through generations. Despite this, many herbal products with chemical ingredients and easily accessible imported herbal products negatively impact the development of traditional herbal medicines, especially in small-scale industries that lack standardization in line with Good Traditional Medicine Manufacturing Practices. Quality costs are the expenses incurred to perform all activities related to the development of product quality. These costs include prevention, appraisal, internal failure, and external failure costs. Quality costs serve as an indicator of product quality success and competitive advantage. PT Industri Jamu dan Farmasi Sido Muncul, the largest herbal medicine producer in Indonesia, strives to improve product quality through consistent supervision and quality enhancement. This study employs a case study method to analyze the relationship between the implementation of quality costs and efforts to improve product quality at PT Sido Muncul. The findings indicate that effective quality cost control contributes to product quality improvement, reduces defective products, lowers costs, and increases profits. Sido Muncul emphasizes the use of science, technology, and research to create high-quality products. Thus, significant investments in product quality improvement provide the company with a competitive advantage, enabling it to maintain and increase its market share. Keywords: Cost Concept, Product Quality, Quality Costs

Leveraging 3D-printed microfluidic micromixers for the continuous manufacture of melatonin loaded SNEDDS with enhanced antioxidant activity and skin permeability

Vesicants are chemical warfare agents (CWAs) capable of causing severe skin damage and systemic toxicity. Melatonin, known for its anti-inflammatory and antioxidant properties, can mitigate the effects of these agents. Self-nano-emulsifying drug delivery systems (SNEDDS) containing a high melatonin concentration (5 %, 50 mg/g) were optimized using a quality-by-design approach from biocompatible, non-irritant excipients with a particle size of about 100 nm. The melatonin-loaded SNEDDS showed a 43-fold greater permeability than a conventional melatonin cream. Chemical stability at ambient temperature (25 °C) was maintained for one year. The preparation of optimised melatonin-loaded SNEDDS using a simple mixing method was compared to microfluidic micromixers. Mixing was successfully achieved using a 3D-printed (fused deposition modeling or stereolithography) T-shaped toroidal microfluidic chip (with a channel geometry optimized by computational fluid dynamics), resulting in a scalable, continuous process for the first time with a substantial reduction in preparation time compared to other conventional mixing approaches. No statistically significant differences were observed in the key quality attributes, such as particle size and melatonin loading, between mixing method till kinetic equilibrium solubility is reached and mixing using the 3D-printed micromixers. This scalable, continuous, cost-effective approach improves the overall efficiency of SNEDDS production, reduces the cost of quality control for multiple batches, and demonstrates the potential of continuous microfluidic manufacture with readily customizable 3D-printed micromixers at points of care, such as military bases.

The Application of Microsampling Disks in Circular Dichroism Spectroscopy for Peptide and Nucleic Acid Drugs.

In recent years, there has been a growing focus on the development of medium-sized drugs based on peptides or nucleic acids owing to their potential therapeutic benefits. As some of these medium-sized drugs exert their therapeutic effects by adopting specific secondary structures, evaluating their conformational states is crucial to ensure the efficacy, quality, and safety of the drug products. It is important to assess the structural integrity of biomolecular therapeutics to guarantee their intended pharmacological activity and maintain the required standards for drug development and manufacturing. One widely utilized technique for quality evaluation is secondary structural analysis using circular dichroism (CD) spectroscopy. Given the higher production and quality control costs associated with medium-sized drugs compared with small-molecule drugs, developing analytical techniques that enable CD analysis with reduced sample volumes is highly desirable. Herein, we focused on a microsampling disk-type cell as a potential solution for reducing the required sample volume. We investigated whether CD spectral analysis using a microsampling disk could provide equivalent spectra compared with the standard cell (sample volume: approx. 300 µL). Our findings demonstrated that the microsampling disk (sample volume: 2-10 µL) could be successfully applied to CD spectral analysis of peptide and nucleic acid drugs, paving the way for more efficient and cost-effective quality evaluation processes.

The Usage Of Government Formulary For BPJS Inpatients With Ischemic Stroke In Indonesia

Introduction: Ischemic stroke patients tend to use some medicine. In National Health Security (JKN), the government has created a government formulary as quality control and cost control. The study aims to determine the percentage of government formulary in Hospitals and the affected factors. Method: It was cross sectional quantitative research. It used retrospective data from medical record and prescription of ischemic stroke inpatients from January to June 2019. The data collected include hospital characteristics, patient characteristics, supporting characteristics and treatment costs. Result: The data cames from 17 hospitals. Based on the inclusion and exclusion criteria, 257 medical records were analyzed. The average percentage of drug use was 73.22%. Its was influenced by the hospital class, the number of supporting examinations, the number of drug items. Type B and C hospitals used non government formulary. There were citicolin, mecobalamin, piracetam, neurotropic multivitamin, flunarizine. Conclusion: The average percentage of drug use was still less than 100%. There were still non government formulary drugs used for the therapy of inpatient ischemic stroke. The use of non government formulary drugs was influenced by the hospital class, the number of supporting examinations, the number of drug items.

Farm-specific estimates of forage variability result in larger optimal control limits for forage quality monitoring

Variation in forage composition decreases the accuracy of diets delivered to dairy cows. However, variability of forages can be managed using a renewal reward model (RRM) and genetic algorithm (GA) to optimize sampling and monitoring practices for farm conditions. Specifically, use of quality-control-charts to monitor forage composition can identify changes in composition for which adjustment in the formulated diet will result in a better match of the nutrients delivered to cows. The objectives of this study were 1) assess the use of a clustering algorithm to estimate the mean time the process is stable or in-control (d) (TStable) and the magnitude of the change in forage composition between stable periods (ΔForage) for corn silage and alfalfa-grass silage which are input parameters for the RRM; 2) compare optimized farm-specific sampling practices (number of samples (n), sampling interval (TSample) and control limits (ΔLimit) using previously proposed defaults and our estimates for the TStable and ΔForage input parameters; and 3) conduct a simulation study to compare the number of recommended diet changes costs of quality control under the proposed sampling and monitoring protocols. We estimated the TStable and ΔForage parameters for corn silage NDF and starch and alfalfa-grass silage NDF and CP using a k-means clustering approach applied to forage samples collected from 8 farms, 3x/week during a 16-week period. We compared 4 sampling and monitoring protocols that resulted from the 2 methods for estimating TStable and ΔForage (default values and our proposed method) and either optimizing only the control limit (Optim1) or optimizing the control limits, the number of samples, and the number of days between sampling (Optim2). We simulated the outcomes of implementing the optimized monitoring protocols using a quality control chart for corn silage and alfalfa-grass silage of each farm. Estimates of T^Stable and Δ^Forage from the k-means clustering analysis were, respectively, shorter and larger than previously proposed default values. In the simulated quality control monitoring, larger Δ^Forage estimates increased the optimized ΔLimit resulting in fewer detected shifts in composition of forages and a lower frequency of false alarms and a lower quality control cost ($/d). Recommended diet reformulation intervals from the simulated quality control analysis were specific for the type of forage and farm management practices. The median of the diet reformulation intervals for all farms using our optimal protocols was 14 d (Q1 = 8, Q3 = 26) for corn silage and 16 d (Q1 = 8, Q3 = 26) for alfalfa-grass silage.

Comparison of Conventional and Precast Half Slab Work Methods (Case Study: Japfa Office Building Daan – Mogot)

In the construction of vertical buildings, the implementation method used affects the productivity of construction. The development of construction system innovation in Indonesia which continues to grow has led to a new system, one of which is the precast system. Precast systems have been proven to be able to increase productivity in terms of construction time and costs, as well as the value of waste costs, which results in little from conventional methods. The main objective of this study was to compare the efficiency of the method of implementing floor slabs in the field by comparing the variables of field implementation, costs, time, quality control, and material waste costs of the conventional and precast half - slab methods. The analysis was carried out using the unit price is based on the Jakarta Worker’s Wage Unit Price 40 year XXVII - 2021 edition. The index coefficient (conventional) refers to the Minister for Public Works and Human Settlements Regulation No. 1 of 2022, and the index coefficient (precast half slab) refers to SNI 7832:2012. Scheduling was performed using Microsoft Projects. The results show that the precast half - slab method is more efficient than the conventional method.

Development and validation of an analytical procedure for the determination of residual protein A in active substances of therapeutic monoclonal antibodies

SCIENTIFIC RELEVANCE. An important quality-control issue for therapeutic monoclonal antibodies (mAbs) is the determination of residual protein A leaching from the carrier during the purification of mAbs by affinity chromatography. However, unrelated compounds (immunoglobulins) present in the sample can complicate the immunoenzymatic detection of protein A (matrix effect), potentially leading to false-negative test results. To increase the efficiency of enzyme-linked immunosorbent assay (ELISA), it is necessary to develop a sample preparation step that can irreversibly break the bond in the protein A–mAb complex.AIM. This study aimed to develop and validate an analytical procedure for the determination of residual protein A in active substances of therapeutic mAbs by ELISA with a test kit comprising in-house reagents.MATERIALS AND METHODS. Recombinant protein A was used as an antigen. Polyclonal antibodies to protein A were produced by immunising chickens, selecting immunised eggs, and isolating antibodies from these eggs. Protein A-specific antibodies were purified by affinity chromatography. Residual protein A was determined using sandwich ELISA with preliminary sample preparation. The analytical procedure was validated in accordance with the requirements of the State Pharmacopoeia of the Russian Federation (Validation of Analytical Procedures, OFS.1.1.0012).RESULTS. The authors obtained, isolated, and purified chicken IgY antibodies to recombinant protein A. The authors selected sample preparation conditions for the determination of residual protein A by ELISA and optimum compositions of buffer solutions, including the composition of a denaturing buffer to disrupt the protein A–mAb complex. The developed analytical procedure was validated. According to the measurements of protein A, the accuracy of the analytical procedure ranged within 83–108% of the nominal value, the interlaboratory precision ranged within 96–116%, and the repeatability was up to 13%. The lower limit of quantitation was 10 ng/mL with a minimum required dilution of 1:10. The analytical range extended from 10 to 40 ng/mL. The analytical procedure showed results comparable to those obtained with a similar test kit from an international manufacturer.CONCLUSIONS. The developed analytical procedure for the determination of residual protein A by ELISA with a test kit comprising in-house reagents can minimise the matrix effect in therapeutic mAbs. This analytical procedure will alleviate import substitution and reduce quality control costs for Russian immunobiologicals.

Prediction of Mechanical Properties of Cold-Rolled Steel Based on Improved Graph Attention Network

The prediction of mechanical properties of cold-rolled steel is very important for the quality control, process optimization, and cost control of cold-rolled steel, but it is still a challenging task to predict accurately. For the existing graph structure of graph attention networks, it is difficult to effectively establish the complex coupling relationship and nonlinear causal relationship between variables. At the same time, it is considered that the process of cold-rolled steel has typical full-flow process characteristics and the graph attention network makes it difficult to extract the path information between the central node and its higher-order neighborhood. The neural Granger causality algorithm is used to extract the latent relationship between variables, and the basic graph structure of mechanical property prediction data is constructed. Secondly, the node embedding layer is added before the graph attention network, which leverages the symmetry nature of Node2vec method by incorporating both breadth-first and depth-first exploration strategies. This ensures a balanced exploration of diverse paths in the graph, capturing not only local structures but also higher-order relationships. The combined graph attention networks are then able to effectively capture the symmetry path information between nodes and dependencies between variables. The accuracy and superiority of this method are verified by experiments in real cold-rolled steel production cases.

Pemanfaatan BIM dalam Integrasi Arsitektur dan MEP Pada Proyek Konstruksi Gedung Lab PUT PNJ

Recent building construction projects increasingly prioritize the integration of architectural (design) and MEP (mechanical, electrical, and plumbing) aspects as key elements to achieve effective and sustainable projects. This study aims to explore the close relationship between architecture and MEP in building construction projects and how integrating the two can provide optimal results. This article discusses the important role of Building Information Modeling (BIM) technology in supporting the integration of architecture and MEP. BIM enables architecture and MEP professionals to work collaboratively in an integrated virtual environment, facilitating monitoring, coordination, and early identification of design conflicts. The results showed that effective use of BIM can create more efficient projects in terms of planning, execution, and maintenance. In addition, the study explores planning strategies that support the integration of architecture and MEP, including the selection of environmentally friendly materials, optimal spatial design, and energy efficiency. Comprehensive, sustainable planning can reduce environmental impact, reduce energy consumption, and reduce long-term operating costs. Project control in the context of architectural integration and MEP is also the focus of this study, with emphasis on construction quality monitoring, cost control and risk management. The success of a project often depends on careful control of these aspects. Therefore, this research provides insight into the integration of architecture and MEP in building construction projects and shows how this comprehensive approach can improve efficiency, sustainability, and sustainability as well as overall project outcomes.

LITERATURE REVIEW ON DEVELOPMENT OF PROJECT PERFORMANCE AND CHARACTERISTICS IN CONSTRUCTION INDUSTRIES

The construction sector is always looking for efficient project management techniques. The purpose of this literature review is to build a solid project performance by carefully examining the inherent characteristics of construction projects. This review integrates various project elements, such as project scope, risk management, stakeholder engagement, resource allocation, and technological integration, which highlight the multifaceted nature of construction activities. A factual overview of certain key trends and findings from the research literature that relate to the construction sector encounters difficulties in achieving project success. This abstract also states that an in-depth investigation of the project performance is changing in the construction industry and the characteristics that go along with it. The paper investigates the complex relationship between project success criteria and quality assurance, sustainability, stakeholder engagement, risk management, cost control, scheduling, and industry reports and case studies. This paper provides an in- depth analysis of construction project. Keywords: Construction, Project Performance, Characteristics, Stakeholder Dynamics, Technology, Success Criteria, Sustainability, Risk Management.

Assessing the Sustainability Impact of Improving Secondary Steel Production: Lessons Learned from an Italian Plant

Abstract This work presents a sustainability assessment approach to evaluate technological innovations in secondary steel production making use of Electric Arc Furnace (EAF) technology. The assessment covers the environmental, social, and economic dimensions of sustainability by combining different tools (Life Cycle Assessment and Analytic Hierarchy Process), and also provides an integrated assessment of the overall sustainability. The approach, which can also be used to support decision-making, has been applied to a real case study of a steel plant located in Northern Italy. In the case study, environmental sustainability is positively impacted mainly by increased metal yield and reduced furnace energy consumption. The greatest social sustainability benefits are mainly related to improved ergonomic and safety conditions for workers (reduced demand for physical effort, manual handling and repetitiveness, and lower risk of accidents), as a consequence of the introduction of Industry 4.0 technologies. Regarding economic sustainability, a positive impact related to reduced cycle time, increased metal yield and quality yield, reduced maintenance and quality control costs was observed. The integrated assessment of the overall sustainability has proven to be a viable approach to manage trade-offs between the different dimensions of sustainability.

Research on optimization of sustainable engineering project management based on BIM technology

With the increasing global attention to sustainable development, the construction industry is faced with the major challenge of reducing resource consumption, reducing environmental pollution and improving economic efficiency. The potential for improved engineering project management and the promotion of sustainable development are both enhanced by Building Information Modeling (BIM), a sophisticated technology that is generally acknowledged. This study delves into the use of building information modeling (BIM) in project management, focusing on how it contributes to the attainment of sustainable development objectives. This study provides an overview of building information modeling (BIM), its history and evolution, and its complex link with sustainable project management via a thorough literature analysis. Particularly noteworthy is a case study that shows how BIM helps with quality assurance, scheduling, and cost control. As shown in the case study, the results demonstrate the critical role of BIM in enhancing management efficiency and conserving resources. The study also highlights potential avenues for future research and provides actionable recommendations for improving present procedures.

The Influence Of Clinical Pathway Compliance And Prescription Writing According To The National Formulary On Quality Control And Cost Control With The Indication Of Caesarean Section As An Intervening Variable At ST Theresia Hospital Jambi

The increasingly high cost claims for caesarean section cases in the National Health Insurance or Jaminan Kesehatan Nasional (JKN) era mean that hospitals are required to provide service efficiency, the BPJS Health payment system to hospitals is through the INACBG's (Indonesia Case Based Groups) rates. The purpose of this study is to analyze the influence of clinical pathway compliance and prescription writing according to the national formulary on cost control with caesarean section indication as an intervening variable at St Theresia Hospital. This type of research is confirmatory research using a quantitative approach. The sample in this study amounted to 80 samples from caesarean section cases in August-October 2023. The sampling technique used purposive sampling. Based on the results of testing the Path coefficients hypothesis, it was found that F count (63.047) > F Table (3.432) with a significance level of 0.05, the results of the t value> 1.96 and p < 0.05. The results of data analysis and hypothesis testing showed that there was an influence of clinical pathway compliance, writing prescriptions according to the national formulary and indications for caesarean section on cost control.

Root Cause Analysis Of Quality Control And Cost Control Of Implementing The Referback Program In First Level Health Facilities

Background: The incidence of chronic diseases in Jambi City is still high from year to year. The Referback Program (PRB) is one of the government's efforts through BPJS Health in collaboration with health facilities to ensure chronic disease sufferers have easier access to obtain the medicines they need at an efficient cost. This research aims to analyze the main problems of quality control and cost control of PRB implementation in terms of man, material-machine, method, market, money and time elements at FKTP in Jambi City. Methods: The research was conducted using qualitative methods using the perspective of Root Cause Analysis (RCA) theory to form research procedures. The informants consisted of the person in charge of PRB, the head of the community health center and PRB participants at FKTP in Jambi City. The research instrument is a structured interview sheet. Data analysis uses thematic analysis techniques according to the RCA flow Results: The research results found that the main cause of the problem was weak coordination between PRB officers and BPJS Health in implementing PRB at FKTP. Conclusion: It is recommended that BPJS Health be more active in providing outreach and special training to PRB officers as well as setting up a clear monitoring and evaluation system regarding the implementation of PRB in FKTP

ANALYSIS OF CASE MANAGER FUNCTIONS IN IMPROVING QUALITY CONTROL AND COST CONTROL OF INPATIENT (CASE STUDY) AT GRANDMED HOSPITAL LUBUK PAKAM

Abstract
 The hospital has a process for implementing continuity of care in the hospital and integration between care-giving professionals (PPA) assisted by a patient service manager (MPP)/case manager. The current challenge that must be faced by hospitals in implementing the JKN program is implementing good quality control and cost control. The existence of MPP in the hospital case management system is expected to be able to support quality control and cost control. The purpose of this study was to analyze the functions of the case manager in improving quality control and cost control for inpatients (case study). This research was conducted at the Grandmed Lubuk Pakam Hospital, Deli Serdang Regency from September 2022 to May 2023. The type of research in this study was qualitative. The sample in this study were case managers at Grandmed Lubuk Pakam Hospital, Deli Serdang Regency, totaling 3 people and 1 director of medical services and 3 heads of inpatient rooms. The results showed that the implementation of case managers in improving quality control and cost control for inpatients was quite good. The case manager utility assessment has not gone well because there is no clear format for the initial screening of patients. Patient care planning by case managers has not been maximized. Not all case managers do patient care planning. The case manager's facilitation and advocacy has not been maximized. There are 2 case managers who do not coordinate with other fields, only coordinate with DPJP and nurses. The case manager evaluation has not gone well because there is no instrument format for case manager tasks so evaluation cannot be carried out. Post-discharge planning follow-up by the case manager has not gone well because the case manager has never followed up post-discharge planning. Case managers should carry out case manager functions for patients who are being treated in case management in accordance with the standard criteria set by STARKES 2022 accompanied by proper and accurate documentation to improve service quality and patient satisfaction.
 
 Keywords : Functions, Case Manager, Quality Control, Cost Control, Hospitalization, Case Study

Intelligent modelling of unconfined compressive strength of cement stabilised iron ore tailings: a case study of Golgohar mine

During iron ore process, a substantial amount of iron ore tailings (IOT) are generated, which can be caused environmental challenges. To mitigate this issue, the stabilised IOT can be repurposed as road material. The unconfined compressive strength (UCS) parameter is typically used to assess the quality control and mix designing of stabilised materials, which its measurement is time-consuming due to the required curing time (CT). Consequently, implementing machine learning techniques to determine and predict UCS values can significantly streamline the process and reduce mix design as well as quality control costs. This research aims to evaluate various machine learning models to predict the UCS of cement-stabilised IOT. Four input variables including cement percentage, CT, compaction moisture content (MC) and compaction energy were considered for UCS modelling. A comparison of the statistical results from the developed models revealed that the artificial neural network (ANN) method exhibited superior accuracy for both training and testing data, with R 2 values of 0.96 and 0.97, respectively. Moreover, a sensitivity analysis of the ANN model demonstrated that cement percentage had the most significant impact on the UCS, while compaction MC had the least. Lastly, a parametric study was conducted to evaluate the influence of various variables on the UCS.

A closer look at Toronto's water quality control design criteria for bioretention cells

Bioretention cells in the Toronto region are usually sized to accommodate runoff from the 90th percentile storm, which has a depth of about 25 mm. This research examines the water quality control performance and cost of bioretention cells sized to satisfy alternative design criteria ranging from 5 to 50 mm. The long-term average runoff-capture efficiencies provided by representative bioretention cells are determined, and their capital as well as operation and maintenance costs are estimated. Results indicate that the current design criterion of 25 mm is probably too high and not cost-efficient. In fact, above some threshold levels, little improvement in runoff-capture and pollutant removal performances may be achieved if the design criterion is increased further, but cost would still linearly increase. Presented here is a methodology that can be used to properly consider both the performance and cost of bioretention cells for establishing a more cost-efficient design criterion. It is shown that a more cost-efficient design criterion for Toronto could be lower than the current one, and significant cost savings can be realized if a lower design criterion is implemented. Some inappropriate ways of quantifying the effective volume of storage provided by bioretention cells are also identified in this paper.

Intermittent sampling for statistical process control with the number of defectives

An intermittent sampling model for statistical process control (SPC) is introduced to monitor the quality of output from a production process where the number of defective units in a sample is measured in selected time periods. A Limited Memory Influence Diagram (LIMID) model is implemented to determine the time periods in which to collect samples and the decision strategy to minimize total costs of quality control. In periods where samples are collected, the observed defectives determine whether the process is stopped to investigate and repair an assignable cause of variation. Based on sample results, the process can alternatively be allowed to run without interruption until the next predetermined sampling interval, or the results may suggest collecting a sample again in the next period. The model only requires the user to know the result of the current sample to make a decision, in contrast to Bayesian methods that require calculations based on all prior samples and a history of actions. Despite the limited and intermittent nature of the information, the model provides lower quality costs than existing methods for a wide range of production time horizons.

ANALISIS PENDEKATAN PERILAKU ORGANISASI DALAM KENDALI MUTU DAN KENDALI BIAYA SELAMA PANDEMI COVID-19 DI RS SWASTA X KOTA SEMARANG

ABSTRACTThere was a decrease in quality and cost recovery rate at Private Hospital X Semarang City during the COVID-19 pandemic. Hospitals must implement Quality Control and Cost Control during the COVID-19 pandemic. Hospitals need an understanding of organizational behavior management to optimize Quality Control and Cost Control. Therefore, this study aims to analyze the organizational behavior in quality control and cost control during the COVID-19 pandemic at Private Hospital X Semarang City. This study uses a qualitative method. The organizational behavior analysis by analyzing input, process, and outcomes aspects. Qualitative data collection using in-depth interviews. Informants were determined by purposive sampling. The mains informants consisted of three and three triangulated informants. Data analysis used the method of content analysis (content analysis) by triangulating sources and methods. The results showed that the input aspects were still lacking because they did not have detailed task descriptions understood by the team and had not made guidelines and Standard Operating Procedures (SPO) related to the implementation of quality control and cost control. The process aspects are still lacking because communication is not optimal, leadership has never conducted monitoring evaluations, and team conflicts still occur due to communication and clinical pathway non-compliance. As a result, the outcomes in organizational behavior are still not good, as seen from the lack of cohesion and the function of the quality control and cost control teams who have not carried out scheduled and routine medical audits, and have not carried out utilization.Keywords: The Organizational Behavior, Quality Control, Quality Cost, Hospital, Pandemic COVID-19

PENDAMPINGAN PEMBUATAN CLINICAL PATHWAY DALAM PENINGKATAN MUTU PELAYANAN KESEHATAN DI RSUD DR. SOEKARDJO KOTA TASIKMALAYA

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Clinical pathways are used for quality and cost control in health services in hospitals. A clinical pathway is the main requirement for quality control and cost control, especially in cases that have the potential to spend large resources. Research shows that the application of clinical pathways can reduce the length of stay and hospital costs. The existence of clinical pathways in hospitals is sought to refer to the National Guidelines for Medical Services (PNPK). The existence of clinical pathways at dr. Soekardjo does not all meet these criteria. Community service activities are carried out referring to the lecturer roadmap that has been made. The purpose of the activity is to the availability of clinical pathway forms that can be used in hospitals as needed and the preparation of clinical pathways according to PNPK criteria. The method of activity is in the form of FGD and Assistance in making clinical pathways. The activity was carried out well and agreed on a form that refers to the standards of the Hospital Accreditation Committee. Mentoring activities involve all health workers as users, both doctors, nurses, pharmacists, nutritionists, and PMIK so that the results are expected to be by the needs of the hospital. The results of the activity are in the form of an agreement on the form used and the arrangement of 10 clinical pathways according to the needs of the hospital. </span></p></div></div></div></div></div></div>