Laboratory Management System Research Articles

Design and Development of an Intelligent Laboratory Management System Based on STM Processors

Abstract In response to the escalating inventory of laboratory equipment, the inadequacy of traditional manual management practices has become increasingly apparent. Current management challenges are underscored by historical data, which reveals a borrowing rate of approximately 30%, a concerning return rate of only about 5%, and an equipment loss rate of 10%. To address these inefficiencies, this paper introduces an advanced, intelligent laboratory equipment management system leveraging STM32 and GM65 technologies, designed to significantly enhance the return rate and minimize equipment loss. The system is meticulously engineered, featuring three integral modules: the scanning module, the core board module, and the communication module. The scanning module employs GM65 technology to rapidly scan and decode QR codes, facilitating the swift transmission of critical data to the core board for intelligent processing and interaction with the laboratory equipment. At the heart of the system, the core board module serves as the central processing unit, adeptly managing data from the scanning module. It intelligently discerns various information types and dynamically updates the TFT-LCD screen with the current status of equipment, ensuring that all users have access to real-time and accurate information regarding the borrowing and returning of equipment. The communication module is pivotal in bolstering the system's connectivity capabilities. Designed with a robust structure, the system is characterized by its simplicity of operation and robust practicality. It not only significantly improves the efficiency of laboratory equipment management but also plays a transformative role in modernizing laboratory management practices. By streamlining the management process and ensuring the optimal utilization of resources, this system provides a solid foundation for the sustainable advancement of laboratory operations.

Construction and Innovation of Management Mode of Laboratory in Regional and Local Universities

University laboratory is an important base for training students' innovative practice ability and teachers' scientific and technological innovation, and is an important part of university. Traditional laboratory management methods have been unable to adapt to modern practical teaching and scientific and technological innovation. Based on the comprehensive analysis of laboratory management in local colleges and universities and the actual situation of existing laboratories, a comprehensive laboratory management system was developed, which consisted of six functional modules: large-scale equipment sharing platform, instrument and equipment maintenance system, experimental consumables management system, laboratory and practice teaching integrated service platform and laboratory safety management and service platform. The system fully integrates and displays the laboratory teaching resources, realizes the open self-management mode, provides the convenience of experimental teaching, and effectively improves the efficiency and management level of the laboratory.

Identification of Laboratory Management Systems at Senior High Schools In Mataram City

The Laboratory for Biology serves an effective educational facility for learning of biology, where biology subject often requires lab activity. Proper management of the laboratory is a crucial aspect for the smooth execution of practical activites by both teachers and students. The objective of this research was to determine the biology laboratory management system at SMA Negeri 3 Mataram. This research is descriptive research using observation and interview methods. The data collected in two types, the primary data is observation questionnaire and the result of interview to the biology teachers of SMAN 3 Mataram. The development of the observation questionnaire for the standardization of biology laboratory refers to the National Education Minister’s Regulation No. 24 of 2007, and the laboratory management standards refer to The Minister of Education and Culture’s Regulation No.8 of 2018. There are ten aspects considered in the observation of the biology laboratory, including the evaluation of the laboratory space, the completeness of laboratory equipment and materials, and the cleanliness of the laboratory. Based on the research found that eight aspects were categorized as very good, and two aspect were categorized as as good. The completeness of laboratory tools and materials, as well as laboratory safety, need to be improved.

SISTEM INFORMASI MANAJEMEN LABORATORIUM PADA JURUSAN FARMASI POLITEKNIK KESEHATAN KEMENKES JAMBI

Laboratory Management is a systematic process that involves collecting, storing, maintaining, processing, retrieving, and validating data required by the laboratory to make informed management decisions. The Department of Pharmacy at Politeknik Kesehatan Kementerian Kesehatan (Poltekkes Kemenkes) Jambi needs a management system that can handle a significant amount of data. The current laboratory management system is not digitalized, which has led to inadequate documentation of inventory data, borrowing and returning of lab equipment and tools, as well as other relevant information related to schedules and student final projects. Therefore, the objective of this research is to develop a web-based information system for laboratory management. The system will assist laboratory staff in managing data and information related to practicums and laboratory activities. Input data are inventory of laboratory tools and materials data, lab schedule data, and lab activity data. The system output will provide tool and material inventory data reports, as well as reports on the use and borrowing of tools and materials. This research has resulted in the development of a Laboratory Management Information System that assists laboratory managers in managing inventory and laboratory activity data.

Ethical and Legal Implications of Data Sharing in SaaS Laboratory Management Systems

Over the years, the use of Software as a Service (SaaS) in a laboratory information management system has transformed sharing and management in the latter system. Such a transformation, however, brings along complex ethical and legal challenges for which scrutiny is supposed to be considered. Implication for adopting SaaS platforms includes fundamental concern about data privacy, security, and the overall integrity of scientific research. The paper systematically analyses ethical and legal implications associated with data sharing through SaaS platforms in the management of laboratories. This thus revolves around the understanding of how these systems can handle key aspects such as data ownership, respect for privacy, and compliance with international laws, and the resultant effects these would have on respective stakeholders across the scientific community. We, in this approach, have reviewed a wide range of literature, including fine details of case studies and views by experts, in light of current practices and challenges within SaaS-based laboratory management. We incorporate all these methods within the research to provide an integral view of the multidimensional ethical and legal landscaping, therefore delivering an approach with both depth and context to the analysis. It was mainly, regarding informed consent, and a very complex legal challenge emphasized in this study for compliance with GDPR, along with data confidentiality, respectively, for compliance with HIPAA. The study focused on the non-existence or lack of uniformity of regulatory frameworks that can provide for the special characteristics of SaaS data management and cross-border data flows.

Pengembangan Sistem Manajemen Informasi Laboratorium Komputer Berbasis Standar Nasional Indonesia/International Standard Organisation 17025:2017

Learning is a system that cannot be separated from other components that interact with each other within it. Based on this, learning or education can be supported or accompanied by various components, one of which is computer technology. SNI/ISO 17025 is a standard from ISO which regulates organization, calibration and binding rules related to laboratories. This research uses the extreme programming research method because this method is most suitable for research and development of computer labs which are constantly developing both technologically and policy, Referring to the problems above, there is a need for research that can help solve problems and reduce the bureaucratic chain, time wasted if you want to report damage and/or borrow equipment or tools to laboratory assistants, it is necessary to develop a computer laboratory management system, referring to SNI /ISO 17025 as a laboratory management standard is expected for computer laboratory management to be more organized, disciplined and accountable. Good laboratory management and in accordance with SNI/ISO 17025 standards will result in better governance compared to disorganized laboratories, because it is superior in terms of order, security and so on, thus minimizing losses such as loss of equipment, undetected damage. and others.

Design and Implementation of a Mobile Experimental Application for Networked Control Systems

With the development of mobile technologies, mobile applications are increasingly designed and developed. In the field of science, technology, engineering, and mathematics (STEM) education, the idea of using mobile devices for teaching and learning has gradually gained popularity and gained in-depth research. Owing to the advantages of convenience, portability and excellent interactive abilities, mobile devices are a good choice for accessing remote laboratories. In propose of promoting the massive online experimentation of control education, a mobile application with framework based on React-Native is implemented in this paper. The overall remote laboratory architecture adopts front-end and back-end separation scheme, which benefits the mobile application focusing on the construction of front-end interface and user experience. Various functional modules and technologies are applied in the mobile application, allowing users to access various experiment test rigs in the remote laboratory with intuitive experimental immersion. Moreover, a complete laboratory management system to manage the massive users from different universities has also been integrated into the mobile application. At the end, a remote networked control experiment has been conducted to prove the practicability of the mobile application.

Enhancing Interoperability: Exploring Data Exchange Standards in SaaS Laboratory Management Systems

In the ever-changing environment of health care, smooth information exchange among different systems is significant to ensure efficiency and high-quality patient care. This is also important in laboratory management, where time and accuracy are critical for patients' diagnosis and treatment choices. Nevertheless, interoperability is still a big issue, with SaaS laboratory systems being the primary concern. This study focuses on the importance of interoperability in contemporary healthcare systems, with particular emphasis on laboratory management. It shows the significance of an uninterrupted data flow between SaaS laboratory management systems and other healthcare I.T. systems, such as E.H.R.s and HIEs. Existing data exchange standards and frameworks for interoperability among SaaS laboratory management systems are discussed, including the challenges of achieving interoperability. A quantitative research approach-based questionnaire was deployed to assess the interoperability requirements and processes of the genetic testing laboratories in the survey. Investigations point to different levels of compatibility among SaaS lab management systems in terms of features offered as well as the challenges faced by the latter. Challenges include different data formats, communication protocol standards, and data model incompatibility. The study emphasizes the critical role of interoperability and data exchange in SaaS laboratory management systems and the entire healthcare industry. The methods of overcoming the interoperability problem are investing in education, creating collaborative partnerships, promoting integration frameworks, and establishing incentives for obedience to standardized data exchange format.

Analysis of Physics Laboratory Facilities and Management Standards at SMA Negeri 1 Mumbulsari - Jember

This research was conducted to determine the standards of physics laboratory facilities and management at SMA Negeri 1 Mumbusari. This research uses descriptive research methods and a qualitative approach. The subjects of this research were laboratory managers, physics study teachers, as well as physics laboratory facilities and infrastructure at SMA Negeri 1 Mumbulsari. The collection technique is by making observations, conducting interviews with laboratory managers, and documentation. The results of the research are that SMA Negeri 1 Mumbulsari has a standard percentage of laboratory space of 67% and a standard percentage of laboratory facilities of 85% with good classification. The physics laboratory administration and management system at SMA Negeri 1 Mumbulsari is very good. So overall the physics laboratory at SMA Negeri 1 Mumbulsari has good standards of laboratory facilities and management

Science and Technology Reciprocity in Educational Laboratory Systems Intermediate in Kota Sungai Penuh

The determination of science and technology is a prerequisite for the development of modern laboratory systems. This study examines the laboratory management system in the interrelationship between science and technology. Qualitative evaluation methods are used to accommodate research questions related to the comparison of objectives and realities of laboratory systems. The focus of research lies in the management system and management paradigm of science and technology. The study was conducted in all public high schools in Kota Sungai Penuh, Jambi. The study used naturalistic observation to observe laboratory conditions and semi-structured interviews from laboratory managers, educators involved in the laboratory and students. Research bias is minimized by comparing observations and some interview results. The results showed that there is a gap in laboratory management of schools in newly developing cities. This slice of science and technology in the laboratory management system is influenced by past views, present feelings and future assumptions from laboratory managers, parties and educators involved. Then policy and policy realization magnify the gap created. The gap can be addressed by using virtual labs.

SiDal Development (Laboratory Big Data System) in Basic Physics Laboratory

Inventory activities for tools and materials, borrowing tools, free laboratory processes and much more, are part of the Education laboratory services, in its function as a support for the Tri Dharma of Higher Education. These activities when carried out with conventional systems, require a long time with less-than-optimal results. To improve laboratory management services, a device data collection system was developed which is contained in a web-based application, called SiDal (Laboratory Big Data System). SiDal is a subsystem of the laboratory management system at the Basic Physics Laboratory of FPMIPA UPI. The aim of developing SiDal is for laboratory services to be more effective and efficient with optimal results. Users can access tool data, tool catalog, tool status and where to store the tool. To see the success of the system, research was carried out using the Research and Development method. Trials of the application of this system were carried out at the Basic Physics Laboratory of FPMIPA UPI by conducting surveys through questionnaires and interviews. From the results of the questionnaire distributed, 68 student respondents from various generations had accessed SiDal. 98.5% of respondents agreed that the implementation of SiDal in the Basic Physics Laboratory provided an increase in laboratory management services. The results obtained will serve as an evaluation and further development of the laboratory management system.

Risk Factors for the Spread of Brucellosis in Sheep and Goats in the Campania Region in the Years 2015-2020.

Brucella is a Gram-negative facultative intracellular pathogen that causes infection in sheep and goats (B. melitensis.); B. melitensis can also infect other animals. Sheep and goat brucellosis is still present in some regions of Italy, including Campania, and causes considerable economic losses and health threats. The aim of this study was to evaluate the possible risk factors influencing the spread of brucellosis among sheep and goat farms in the Campania region in order to provide the local veterinary services with practical support in evaluating and planning diagnostic, preventive and control interventions. The results of official controls for brucellosis carried out from 2015 to 2020 in the sheep and goat farms of the Campania Region were analyzed. Data were extracted from the National Veterinary Information Systems and the Laboratory Management System of the Experimental Zooprophylactic Institute of Southern Italy. Statistical analysis was carried out through the software R version 4.1.0; the dataset consisted of 37,442 observations, and 9 qualitative and quantitative variables were evaluated on 8487 farms, 248 of which were positive. The association between covariates and the outcome (presence/absence of the disease) was evaluated (Fisher and Wilcoxon tests). A logistic regression model with mixed effects was carried out. This study confirmed that brucellosis in sheep and goats in the Campania region mostly occurs through contact with infected animals imported from other farms (OR = 3.41-IC 95% [1.82-6.41]). Farms with a greater number of animals were seen to be at the greatest risk of infection (OR = 1.04-IC 95% [1.03-1.05]); previous suspension of healthy status also proved to be a risk factor (OR = 55.8-IC 95% [26.7-117]).

Perancangan Sistem Pendukung Keputusan Berbasis Web Untuk Menentukan Asisten Laboratorium Komputer Menggunakan Algoritma Simple Additive Weighting

The computer laboratory is one of the facilities that support the learning process, therefore, a professional laboratory management system is required to assist lecturers with computer laboratory upkeep. In the process of selecting laboratory assistants it takes quite a long time, is less efficient and cannot save the history of selection results automatically. So this research will create a decision support system using the simple additive weighting method to assist lecturers in selecting computer laboratory systems efficiently. The criteria used for selection were the GPA (Cumulative Achievement Index), Hardware Installation Tests, Software Installation Tests, LAN Installation Tests, Programming Tests, and Interviews. The final results of calculations using the simple additive weighting method will choose 2 alternatives with the highest scores to become computer laboratory assistants, namely alternative 4 (X4) with a value of 0.97 and alternative 2 with a value of 0.91 (X2). The decision support system will be built based on a website and the database system will use MySql.

Exploring the Path of Laboratory Security Management in Local Universities

Due to the shortage of funds for local universities, the investment in laboratory safety cannot be fully guaranteed, and the construction of safety protection supporting facilities and safety management is lagging behind, so safety is seriously challenged. In recent years, labs have been opened and shared more, and the potential safety risk factors have increased. Laboratory safety accidents occur from time to time, which seriously threaten the lives of teachers and students. Therefore, the safety management of laboratories in local universities needs to be strengthened. By summarizing the current situation of laboratory safety management in local universities, this study analyzes the obvious shortcomings of laboratory safety management in terms of system and regulations, site planning, team building and informationization level from physical and human factors. For example, unclear authority and responsibility between departments, there is insufficient safety management front in laboratory planning and construction, and the safety awareness of personnel is weak. In view of the risks in safety management work, suggestions are made in four aspects: laboratory management system, laboratory technical team construction, regularization of safety education, and optimization of safety management information platform, with a view to providing reference for the effective operation of laboratory safety work in local universities.

Pengaruh Kemampuan Pengelolaan Laboratorium Biologi UIN Sunan Gunung Djati Bandung

The excellence of a biology education laboratory can be reflected in the quality and management profile it carries out. The purpose of this study was to determine the management system that is implemented in the Biology Education Integrated Laboratory at UIN Bandung. The research method uses a qualitative and descriptive method approach. The results showed that the implementation of laboratory management was classified as less than optimal and only part of it was running according to standard management rules. This is evidenced by the measurement results of planning indicators (planing) of 51.72% indicating positive or the "Good" category and as much as 41.37% are included in the "Less" category. While the other three management components consisting of organizing, actuating and controlling each indicator show results of 55.55% are in the "Good" category and 44.44% are considered "Less". The findings can be used as material for important studies in institutions to improve the laboratory management system gradually and continuously in order to obtain an ideal laboratory management function according to the proper regulations.
 Keywords: Management, Laboratory

Registered Data-Centered Lab Management System Based on Data Ownership Safety Architecture

University and college laboratories are important places to train professional and technical personnel. Various regulatory departments in colleges and universities still rely on traditional laboratory management in research projects, which are prone to problems such as untimely information and data transmission. The present study aimed to propose a new method to solve the problem of data islands, explicit ownership, conditional sharing, data safety, and efficiency during laboratory data management. Hence, this study aimed to develop a data-centered lab management system that enhances the safety of lab data management and allows the data owners of the labs to control data sharing with other users. The architecture ensures data privacy by binding data ownership with a person using a key management method. To achieve data flow safely, data ownership conversion through the process of authorization and confirmation was introduced. The designed lab management system enables laboratory regulatory departments to receive data in a secure form by using this platform, which could solve data sharing barriers. Finally, the proposed system was applied and run in different server environments by implementing data security registration, authorization, confirmation, and conditional sharing using SM2, SM4, RSA, and AES algorithms. The system was evaluated in terms of the execution time for several lab data with different sizes. The findings of this study indicate that the proposed strategy is safe and efficient for lab data sharing across domains.

QR Code-Based Pedagogy for Laboratory Resource Management in Indian Higher Education Institutes

Abstract: Blending digital education with traditional teaching learning requires revamping current pedagogical approaches. Recently India has adopted a New Education Policy 2020 (NEP 2020). NEP 2020 has given the focus on skill-based blended education with multiple entries and exit facilities. The learners will learn the skills in the laboratory. Students with varying skill levels and edges interact and have the opportunity to observe human behaviours as a result of the multiple entry and exit points. On the other hand, these gatherings can be viewed as opportunities to develop appropriate resources for both administrations and users. Hence there is a need to deal with and introduce a novel approach for updating laboratory management, administration and student handling approach. This article proposes a new methodology with the Internet of things and QR code technology. Proposed method has quickly and readily reading capability of a two-dimensional barcode called a Quick response code (QR code) arranged in systematic manner for ease of operation. The Laboratory components such as noticeboard contents,l a b m a n u a l s , s a f e t y i n s t r u c t i o n s , v i d e o demonstrations, attendance can be methodically arranged and utilised in the efficient manner. In this research, we are presenting laboratory management system having a Raspberry Pi-based QR Code Scanner. The system implementation is implemented with OpenCV and the ZBar library to improve students' laboratory course learning experiences in higher education. Keywords: QR code; NEP 2020; raspberry pi; thingspeak cloud; lab management; Internet of Things.

Construction and effect of information management platform of life science experimental teaching center

To give full play to lab potential and fulfill the unique feature of training talents for valuing practice and seeking innovation, an intelligent, efficient, and open information management platform has been built in the experimental teaching center of life sciences in Northwestern Polytechnical University. This study constructs an intelligent, efficient and open source information management platform. The platform is composed of five modules: comprehensive lab management system, instrument and equipment management system, reagents and consumables management system, laboratory opening platform, and laboratory teaching management system. The use of the management platform has solved the problems of miscellaneous teaching data, insufficient sharing of teaching resources, conflict of course arrangement and low lab open utilization under the traditional management mode. It also stimulates the enthusiasm and initiative of students in innovation and practice, perfects the management mechanism of making teachers play a leading role in experimental teaching, and improves the work efficiency of laboratory managers.

Design and Implementation of Clinical LIS360 Laboratory Management System Based on AI Technology

In order to realize the automation, standardization, and informatization of clinical laboratory work, this research topic develops and accomplishes a set of laboratory information systems (LISs). According to the design methods of software engineering, we first understand user’s demand and the current work situation of clinical laboratory and establish the system case model using Unified Modeling Language (UML) modeling technique. During the system design period, we explain the key technology theories, network structure, system security policy and the connection scheme with hospital information system (HIS). During the system function design period, the system was designed with 6 modules, they are daily inspection work, inquire and statistics, quality control, data dictionary, system configuration, and other tools. Through establishing database model, we accomplish the system database structure design. After the system design, we perform system implementation and test, to show the interface of system implementation and test plan accordingly. The development and application of LIS360 laboratory information management system can greatly improve the management level of laboratory and promote the standardization, modernization, and science of laboratory management. This system has solved the traditional mode of sending test report sheet manually for many years in the laboratory and won valuable time for clinicians to know the patient's condition in time.

Clinical Laboratory Management System

Clinical Laboratory Management System