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      "body": "CHAPTER TWO\nLITERATURE REVIEW\n2.0 INTRODUCTION TO MEDICAL LABORATORY AUTOMATION:\nMedical laboratory automation technology encompasses a wide range of instruments, equipment, and software designed to automate and streamline various laboratory procedures and processes. The field of laboratory automation has been transformed by advancements in robotics, artificial intelligence, machine learning, and microfluidics. These advancements have empowered researchers to conduct tests with enhanced accuracy, efficiency, and consistency (Yu et al., 2019). \nModern laboratory medicine is characterized by an era of automation. The concept of laboratory automation was initially introduced by innovations like the AutoAnalyzer, which facilitated continuous flow analysis, and the Robot Chemist, which automated traditional manual analytical steps. Subsequent generations of stand-alone analyzers have significantly transformed laboratory medicine by enhancing efficiency, increasing throughput, expanding assay menus, and reducing errors (Genzen et al., 2018).\n2.1 HISTORICAL EVOLUTION OF AUTOMATION IN MEDICAL LABORATORIES\nFrom as early as 1887  history of predictions for the future of medical laboratory science was collated to demonstrate the merits, and demerits  of the predictive process. The review examined laboratory organization and staffing, automation and robotics, computing and information technology, analytical techniques and technologies, point-of-care testing, telemedicine, micro-technology, nanotechnology, proteomics, evidencebased medicine, and microscopy and histology. Since this extensive historical review, others have also examined “the future of laboratory medicine” (Hallworth et al., 2015)..\nThe birth of laboratory automation is dated in the 1950s, when application of flame photometry for clinical measurements and peripheral blood cell analysis using impedance techniques were first introduced. Since then, the shortage of laboratory professionals emerged as an important problem in Japanese hospitals during the mid-1970s. Masahide Sasaki, supported by a team of 19  medical technologists, first developed conveyor systems, robots that loaded and unloaded analyzers and supporting process control software systems in the clinical laboratory at the Kochi Medical School. The first phase of the clinical laboratory automation has occurred in analytical instrumentation. Clinical chemisatry laboratory gained the first automated analyzer, AutoAnalyzer, in 1956, which could analyze only limitednumber of analytes: urea, glucose, and calcium. AutoAnalyzer evolved into Tecnicon single and multichannel continuous flow autoanalyzers in very short time (Kochi, Japan), thus leading the way to the first automated laboratory, originally defined as a “fully automated laboratory system”. (Armbruster et al.,., 2014)\n Automation is one of the greatest breakthrough in the recent history of the diagnostics laboratory sciences. Laboratory automation began in the 1950s and has progressed throughout the decades to reduce the turnaround times in laboratory testing and eliminate the human errors. By replacing the repetitive and laborious manual processes involved in laboratory testing, automation has reduced the overall errors and allowed laboratory technicians to focus more time and energy on quality assurance.(Yeo et al., 2018).  Five or more decades earlier, the term automation was used to describe the test processes in clinical chemistry analyzers. However, during the past two decades, the automation has also covered extra-analytical processes, which have become substantial for the efficiency of clinical laboratories (Bakan et al., 2017). A high-quality test result means it must be correct and be reported as soon as possible, i.e., short turnaround time (TAT). The automation in the clinical laboratory has evolved together with evolution in the automation-manufacturing industry. During this progression, laboratory testing has grown from a manual process with very narrow, simple test menu to an automatically-processing instrument with very large test menu and high throughput. Similarly, the automated analyzers have evolved from fixed, simple automation to a programmable, versatile, more complex automation. Because of this progression, one can change the old statement “laboratory automation is nice to have’’ into the new one “the automation must be present in every modern laboratory”. (CLSI 2009)\nIn terms of accuracy, laboratory automation stands out as a defense against the risks associated with errors in the diagnostic process. Manual handling of samples and analysis execution are prone to variability and mistakes, which can have implications ranging from misdiagnoses to inappropriate treatments. By adhering to predefined protocols and executing tasks meticulously laboratory automation greatly reduces the chances of error. The research provides an example by demonstrating a decrease in error rates associated with automated testing. This error reduction is highly relevant from a perspective that underscores the importance of accurate test results for making appropriate clinical decisions. Automations impact is particularly evident when it comes to routine tasks within the laboratory. These tasks are inherently susceptible to error, making automation incredibly transformative in this aspect. Automated systems excel at executing these tasks without succumbing to fatigueinduced lapses in attention. This reliability is crucial, for ensuring results, which form the foundation of clinical decision making. This clinical manifestation provides insights that show how automation can effectively decrease errors, in clinical testing.(Sutton et al., 2020)\n2.2.  EMERGING TECHNOLOGIES IN LABORATORY AUTOMATION",
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      "body": "ABSTRACT \nMedical laboratory science has undergone a major transformation with the advent of automation, which is reshaping diagnostic workflows and patient care delivery. Initially, laboratories relied on manual testing, but advances such as the AutoAnalyzer and conveyor-based robotic systems laid the foundation for modern automated facilities. Today, automation integrates analytical and extra-analytical processes, reducing human error, optimizing workflow, and enhancing test reproducibility and turnaround time. Emerging technologies—including robotics, microfluidics, mass spectrometry, artificial intelligence, and laboratory information management systems (LIMS) have further expanded laboratory capacity and diagnostic accuracy. Total laboratory automation (TLA) connects pre-analytic, analytic, and post-analytic phases into unified systems, improving efficiency across specialties such as clinical chemistry, microbiology, hematology, and pathology. While automation offers significant advantages, including improved safety, reproducibility, and cost effectiveness in the long term, it also raises challenges related to high implementation costs, workforce reduction, and the need for new technical skill sets. Despite these challenges, automation remains essential in meeting growing healthcare demands and addressing workforce shortages. This paper reviews the historical development, emerging trends, advantages, and limitations of laboratory automation, underscoring its pivotal role in advancing modern healthcare systems.\n\n\n\n\n\n\n\n\n\n\n\nCHAPTER ONE\nBackground\nIn today's healthcare systems, laboratories are crucial because they provide valuable information from tests done outside the body, helping doctors make important decisions. The concept of \"clinical laboratory stewardship\" highlights how labs are integral to the healthcare team, contributing significantly to patient care decisions. The organization of clinical laboratories has progressed from the performance of basic tests in the physicians’ office, toward development of large facilities, occasionally distant from hospital and patients, performing a huge number of different testsOver the years, labs have evolved from basic testing at the doctor's office to large-scale facilities capable of conducting a wide range of tests, often located separately from hospitals (Plebani et al., 2018). The organization of medical laboratories has evolved from the performance of basic tests in the physicians’ office, toward development of large facilities, occasionally distant from hospital and patients, performing a huge number of different tests (Plebani et al., 2018). Furthermore, the aim of medical laboratory automation is to replace many routine, tedious and repetitive steps, approximating the levels of efficiency and effectiveness (Genzen et al., 2018).\nLab automation aims to streamline processes, making them more efficient and effective. Different types of machines are used based on each lab's specific needs. One such machine is the automated analyzer, which can analyze various chemical and biological characteristics with minimal human intervention. These analyzers can operate continuously or measure characteristics one at a time (Bezerra et al., 2020).\n The implementation of automation in labs has led to improved efficiency and reliability in providing doctors with patient-related information (Hawker et al., 2017).\n\n\n\n\n\n\n\n\n\nIntroduction\n\nAutomation, broadly speaking, refers to processes that require little or no human involvement. It's seen as a major breakthrough in laboratory diagnostics. Medical laboratory automation brings several benefits, including less need for human intervention, higher productivity, better tracking of specimens within labs, faster turnaround times, improved specimen handling, enhanced lab safety, and reduced errors (Bakan, 2015). This shift has significantly changed how clinical labs are organized, with many manual tasks being replaced by automated systems (Dolci et al., 2017). Large labs and companies often have engineering departments dedicated to automating lab processes (Burnham et al., 2017). These departments provide technical support and oversee the implementation of new equipment into automated workflows. They also handle financial and personnel aspects to plan and integrate lab automation. However, scientists are still responsible for operating these systems, which is quite different from manual lab processes (Croxatto et al., 2021).\nAutomation in the clinical lab covers both analytical and extra-analytical phases, with the latter catching up to the former in development (Bakan et al., 2017). Integrated systems now handle specimen processing, testing, and storage with minimal human intervention. With ongoing shortages of lab professionals, automation offers an attractive, albeit costly, solution for labs planning future growth and workflow needs. Analytical and extra-analytical automation has improved various lab processes, including specimen labeling, sorting, transport, processing, analyzer loading, storage, archiving, and overall test performance (Rifai et al., 2018).\nThe advancement of full integration in managing samples before and during analysis enhances sample processing efficiency, precision, and quality, reducing the likelihood of errors during tasks like labeling, sorting, or aliquoting. This contributes to maintaining specimen quality and enhancing testing reliability. Automation technologies have significantly impacted the capabilities of clinical laboratories. Nowadays, automation is essential in nearly every bioanalytical lab, particularly in larger facilities where the volume of analytical processes is overwhelming. This includes handling numerous medical samples in diagnostic labs and meeting the demand for high-throughput screening in discovering new compounds (Wolf et al., 2021).\nThe use of automation technology in healthcare has led to improvements in care, diagnostic accuracy, and overall clinical outcomes. Incorporating automated systems into practice has boosted efficiency and reduced turnaround times for diagnostic tests (Alowais et al., 2023). Automation can also cover all the steps involved in manual assays, including specimen collection, reagent delivery, reaction, measurement, and data analysis. Total laboratory automation (TLA) refers to a system where a track connects all these aspects, including preanalytic, analytic, and postanalytic phases. Manufacturers have designed major steps to mimic manual techniques, such as specimen processing, reagent delivery, chemical reactions, measurements, signal processing, and data handling (Turgeon et al., 2016).\n\nTLA can vary in its effectiveness in reducing turnaround time and increasing lab productivity simultaneously (Yu et al., 2019). Automated core facilities have successfully evolved in clinical chemistry, microbiology, hematology, and pathology (Hawker et al., 2017). While TLA has been widely adopted in clinical chemistry, immunochemistry, and hematology, its implementation in diagnostic microbiology and histology has been slower, with many activities still requiring significant manual intervention.Total automation has raised concerns about reducing the need for lab personnel and changing the skill sets required for lab workers (Lippi et al., 2018). 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      "body": "ABSTRACT \nMedical laboratory science has undergone a major transformation with the advent of automation, which is reshaping diagnostic workflows and patient care delivery. Initially, laboratories relied on manual testing, but advances such as the AutoAnalyzer and conveyor-based robotic systems laid the foundation for modern automated facilities. Today, automation integrates analytical and extra-analytical processes, reducing human error, optimizing workflow, and enhancing test reproducibility and turnaround time. Emerging technologies—including robotics, microfluidics, mass spectrometry, artificial intelligence, and laboratory information management systems (LIMS) have further expanded laboratory capacity and diagnostic accuracy. Total laboratory automation (TLA) connects pre-analytic, analytic, and post-analytic phases into unified systems, improving efficiency across specialties such as clinical chemistry, microbiology, hematology, and pathology. 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The organization of clinical laboratories has progressed from the performance of basic tests in the physicians’ office, toward development of large facilities, occasionally distant from hospital and patients, performing a huge number of different testsOver the years, labs have evolved from basic testing at the doctor's office to large-scale facilities capable of conducting a wide range of tests, often located separately from hospitals (Plebani et al., 2018). The organization of medical laboratories has evolved from the performance of basic tests in the physicians’ office, toward development of large facilities, occasionally distant from hospital and patients, performing a huge number of different tests (Plebani et al., 2018). Furthermore, the aim of medical laboratory automation is to replace many routine, tedious and repetitive steps, approximating the levels of efficiency and effectiveness (Genzen et al., 2018).\nLab automation aims to streamline processes, making them more efficient and effective. Different types of machines are used based on each lab's specific needs. One such machine is the automated analyzer, which can analyze various chemical and biological characteristics with minimal human intervention. These analyzers can operate continuously or measure characteristics one at a time (Bezerra et al., 2020).\n The implementation of automation in labs has led to improved efficiency and reliability in providing doctors with patient-related information (Hawker et al., 2017).\n\n\n\n\n\n\n\n\n\nIntroduction\n\nAutomation, broadly speaking, refers to processes that require little or no human involvement. It's seen as a major breakthrough in laboratory diagnostics. 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      "body": "길가에 옥수수\n쑥쑥 자란다\n\n햇살 가득한 옥수수\n무럭무럭 하늘을 향해\n자란다\n\n노란 옥수수가 그리워 지는\n하모니카가 생각이 난다",
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      "body": "![20220116_091842.jpg](https://cdn.steemitimages.com/DQmTzgg9TCz6zBEPbWPiG8iPs8pejVidxa2jBwpAP46BNyr/20220116_091842.jpg)\n\n\n\n\n<div class=\"test-justify\">\n\n\n\n\n\n\n### <center>INTRODUCTION</center>\n\n\nMy day wasn't really eventfull like other days but I will still like you to know, because we are a family.\n\nToday being 9th of January 2021, of course one of the numerous Sundays in the new year.\nWaking up from my bed at about 5:30am, I heard a knock at my door 'bgam bgam', OH its Sunday I said to myself even without checking who was there I knew It would be my elder sister,who as made it a culture to sound the knocking alarm at my door every Sunday,if u may want to know I CAN SLEEP FOR AFRICA😂.\nAt about 6:15am, I was already set for morning mass. My family being catholic, we have made it a norm to prepare and be in church before 6:30am.\nAt 6:25am we were already already on our way to church ( Mum Dad and My Siblings).\nWe arrived the church at exactly 6:30am, the Priest who Celebrated the Mass didn't take much time on the homily as he use too. By 9:30am we had the final blessing and we all dispatched home.\nWhen we got home, I felt so terribly hungry, I don't know if its only me that feels a special kind of hunger on Sunday😂, the worst of all is that I was participating in a 21days ffasting😥😒, but what could I do but to just endure till 2:00pm. Despite that I did my house chores perfectly well.\nAt about 2:00pm, the fast was over😁, ate the delicacy prepared by mum\n\n\n![FB_IMG_16407889717928122.jpg](https://cdn.steemitimages.com/DQmVmQEynRNjxDk7y6vRmdT93EHybCZ9pEoyiho9QYTX3MB/FB_IMG_16407889717928122.jpg)\n\n\nafter saying my prayers, took my bath then went to the room to have my siester.\nWaking up around 5:30pm, I knew I was already late for my church program, nevertheless I refreshed my self and took off to church.\nIn the Church we had round of event from opening prayers to preaching then Closing prayers at around 7:50pm. On my way home I met with one of my friend\n\n![IMG_20220101_095304.jpg](https://cdn.steemitimages.com/DQmW5B1BDXL1W4KmnSk7TfFdkbo4mBUcDAJa59M1ejnzF8E/IMG_20220101_095304.jpg)\n\n\n, he chatted for some minute before bidding goodbye to ourselves.\nAt about 8:15pm I was already home stressed and tired.I hurriedly went to the kitchen to grab whatever unlucky plate of food I find there\n\n\n![FB_IMG_16407927591327425.jpg](https://cdn.steemitimages.com/DQmYMe2KXMrNwoat1gr7RmpUk4PR1xfnXXKu1yDdizUjrkh/FB_IMG_16407927591327425.jpg)\n\n\n.After my dinner I grapped my phone from where It was plucked and remembered I was supposed to type a content describing how my day went, here am I typing and sweating🤣\nHopefully the remaining part of the day will go well as it wouldn't be included in this text.😉\n\n</div>",
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