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2021 ◽  
Vol 1 (2) ◽  
pp. 382-390
Author(s):  
Triana Nurning Utami ◽  
Aldiga Rienarti Abidin ◽  
Leon Candra

Laboratorium klinik adalah laboratorium kesehatan yang melaksanakan pelayanan, pemeriksaan specimen klinik untuk mendapatkan informasi tentang kesehatan perorangan terutama untuk menunjang upaya diagnosis penyakit, penyembuhan penyakit, dan pemulihan kesehatan.Tujuan penelitian ini secara umum untuk mengetahui Analisi Kelengkapan Standar Instalasi Laboratorium di RSIA Eria Bunda Pekanbaru Tahun 2020.Dilakukan wawancara mendalam dan observasi kepada 5 informan.Lokasi penelitian dilakukan di RSIA Eria Bunda Pekanbaru di jln.K.H.Ahmad Dahlan No.163 Sukajadi Pekanbaru, Riau, khususnya dibagian laboratorium pada bulan Maret-April 2020.Hasil penelitian menunjukkan bahwa SDM di laboratorium belum sesuai dengan standar, Sarana di laboratorium belum sesuai dengan standar, Prasarana di laboratorium belum sesuai dengan standar, dan SOP di laboratorium belum sesuai dengan standarnya. Dari hasil penelitian dapat disimpulkan bahwa SDM di laboratorium masih perlu penambahan SDM atau memaksimalkan SDM yang ada dengan menggatur ulang jadwal shiff, Sarana di laboratorium harus dilengkapi dari ruang-ruangan sampai alat laboratorium, Prasarana menyediakan KM/WC untuk pasien dan petugas secara terpisah disekitar laboratorium, dan SOP di laboratorium perlu adanya pengawasan untuk staf analis dalam menerapkan SOP di RSIA Eria Bunda Pekanbaru Tahun 2020. A clinical laboratory is a health laboratory that provides service, examines clinical specimen to obtain information on individual health, especially to support effort to diagnose disease, cures disease and restores health. The purpose of this study generally was to determine the analysis of standard completeness of laboratory installation at RSIA Eria Bunda Pekanbaru in 2020. In-depth interview and observation were conducted with 5 informants. The location of the research was carried out at RSIA Eria Bunda Pekanbaru on KH. Ahmad Dahlan street No.163 Sukajadi Pekanbaru, Riau, especially in the laboratory section on March-April 2020. The result showed that the human resources in the laboratory were not in accordance with standard, the facility in the laboratory was not in accordance with the standard, the infrastructure in the laboratory was not in accordance with the standard, and SOP in the laboratory was not in accordance with the standard. From the result of the study it can be concluded that the human resources in the laboratory still need to add more human resources or maximize existing human resources by resetting the shiff schedule, the facility in the laboratory must be equipped from rooms to laboratory equipment, infrastructure provides bathroom /toilet for patient and staff separately around the laboratory , and SOP in the laboratory needs supervision for analizing staff in implementing SOP at RSIA Eria Bunda Pekanbaru in 2020.


2021 ◽  
Vol 6 (1) ◽  
pp. 18
Author(s):  
Ossa Sutaarga ◽  
Alfiandy Setiawan

PT. Ching Luh Indonesia is a company engaged in the manufacturing industry that produces sports shoes with well-known global brands, with annual revenues of more than US $ 1 billion, and has 8,000 workers. PT. Ching Luh Indonesia is a company that is responsive to technological advances and pays great attention to the comfort of employees in working, especially in the Laboratory section. In that section, the bonding checking process on the shoe samples currently still uses direct checking without any time reference in each sample. This is considered less effective because it makes the addition of the remaining sample for the next shift. This study aims to determine the standard time of each shoe sample variant and to determine the number of samples received by each operator. From the research results using the calculation of the standard time can be determined the standard time of each variant of the shoe sample, so it can also be determined the number of samples received for each operator. By determining the standard time for each shoe sample, it is expected that each operator can complete each sample according to the predetermined standard time, so that the specified target can be achieved.. Keywords: Standard Time, Bonding, Shoe Samples, Laboratory, Operator


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 179-179
Author(s):  
William B Smith

Abstract Experiential learning is a feature common to post-secondary agricultural education. Similar to experiential learning opportunities, incorporation of service learning into post-secondary coursework is being encouraged more often. Our objective was to determine how community engagement and introduction of real-world problems in a species-specific production course would affect student performance and outlooks on community service. This experiment was conducted as a completely randomized design within the beef cattle production class during the spring 2019 semester at Tarleton State University. Thirty-eight students were enrolled in the course across two laboratory sections. Students in the first laboratory section were used as a control group. In the control, students were asked to draw from a selection of possibilities a description of herd size, sire and dam breed type, and county. Groups were asked to develop a management plan for a commercial cow-calf operation. Students in the second laboratory section were asked to brainstorm the most prevalent barriers to implementation of best management practices in cow-calf production. Groups were randomly assigned to each topic and were tasked with developing a tri-fold brochure addressing the barrier. They were instructed that this was being done as a service to the greater beef community and would be evaluated by industry representatives. Students in CON had more (P < 0.05) students that reported performing community service weekly or monthly prior to the study than TRT. Groups were similar (P ≥ 0.41) in their assessment of community needs and the role of college students in community service. Likewise, CON and TRT had similar (P ≥ 0.41) responses in having less time available for coursework and their service contributing to the betterment of the overall community. Results are interpreted to mean that incorporation of service learning opportunities does not influence student views on community service.


2018 ◽  
Vol 1 (2) ◽  
pp. 149-167
Author(s):  
M. Alvi Syahrin ◽  
Yusuf Sadewa

Increased flow of traffic in and out of Indonesia, creates a variety of immigration crime rates. Passport forgery as a crime committed by changing, changing part or all of a passport or using false information to receive a passport has now become a serious problem. At present, almost all fake passport verification processes are carried out at the Immigration Forensic Laboratory at the Directorate of Immigration Intelligence. The formulation of the problems examined in this paper are (1) how does the function of the Immigration Forensic Laboratory function function as a preventive measure? (2) How does the function of the Immigration Forensic Laboratory function function in handling Malaysian national fake passport inspection cases on behalf of Selvarasa Krishna Pillai ?. Based on the results of the study, it can be seen that the Immigration Forensic Laboratory Section plays a role in implementing immigration preventive efforts. Preventive efforts carried out by the Immigration Forensic Laboratory Section include training in fake passport detection techniques, information exchange with other countries, and the dissemination of the latest information regarding immigration. Examination of fake immigration documents The Immigration Forensic Laboratory section plays a role in carrying out its functions by conducting fake passport checks in this case.  


2016 ◽  
Vol 10 (4) ◽  
pp. 328-338 ◽  
Author(s):  
Vera D. Rinaldi ◽  
Nancy A. Lorr ◽  
Kimberly Williams

2012 ◽  
Vol 136 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Bruce A. Jones ◽  
Teresa Darcy ◽  
Rhona J. Souers ◽  
Frederick A. Meier

Context.—Publicly available information concerning laboratory staffing benchmarks is scarce. One of the few publications on this topic summarized the findings of a Q-Probes study performed in 2004. This publication reports a similar survey with data collected in 2010. Objective.—To assess the relationship between staffing levels in specified laboratory sections and test volumes in these sections and quantify management span of control. Design.—The study defined 4 laboratory sections: anatomic pathology (including cytology), chemistry/hematology/immunology, microbiology, and transfusion medicine. It divided staff into 3 categories: management, nonmanagement (operational or bench staff), and doctoral (MD, PhD) supervisory staff. People in these categories were tabulated as full-time equivalents and exclusions specified. Tests were counted in uniform formats, specified for each laboratory section, according to Medicare rules for the bundling and unbundling of tests. Results.—Ninety-eight participating institutions provided data that showed significant associations between test volumes and staffing for all 4 sections. There was wide variation in productivity based on volume. There was no relationship between testing volume per laboratory section and management span of control. Higher productivity in chemistry/hematology/immunology was associated with a higher fraction of tests coming from nonacute care patients. In both the 2004 and 2010 studies, productivity was inseparably linked to test volume. Conclusions.—Higher test volume was associated with higher productivity ratios in chemistry/hematology/immunology and transfusion medicine sections. The impact of various testing services on productivity is section-specific.


2007 ◽  
Vol 53 (12) ◽  
pp. 2209-2211 ◽  
Author(s):  
Charles D Hawker ◽  
William L Roberts ◽  
Antonio DaSilva ◽  
Gordon D Stam ◽  
William E Owen ◽  
...  

Abstract Background: Working toward a goal of total laboratory automation, we are automating manual activities in our highest volume laboratory section. Because half of all specimens arriving in this laboratory section are frozen, we began by developing an automated workcell for thawing frozen specimens and mixing the thawed specimens to remove concentration gradients resulting from freezing and thawing. Methods: We developed an initial robotic workcell that removed specimens from the transport system’s conveyor, blew high-velocity room temperature air at the tubes, mixed them, and replaced them on the conveyor. Aliquots of citrated plasma were frozen with thermocouples immersed in the tubes, and thawing times and temperatures were monitored. Completeness of mixing of thawed specimens was studied by careful removal of small aliquots from the uppermost layer of the upright tubes without disturbing tube contents and analysis of total protein and electrolytes. Results: High velocity ambient air aimed directly at tubes ranging from 12 × 75 to 16 × 100 mm brought specimens to room temperature in a maximum of 23 min. Adequate mixing of the specimens by the workcell’s robot required only 2 approximate 126° movements from an upright starting point, a surprising observation, because laboratorians are usually trained to mix 10 or 20 times. We also observed that, in a frozen overfilled tube, resulting analyte concentrations will be lower because more concentrated solutes leak from the tube. Conclusions: A high-throughput, automated thawing and mixing workcell was successfully built, validated, and installed on our automated transport and sorting system.


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