Laboratory Information Management System Research Articles

HIV Viral Load Scale-up Among Children and Adolescents: Trends in Viral Load Suppression, Sample Type and Processing in 7 PEPFAR Countries, 2015-2018.

HIV-positive children and adolescents face gaps in viral load (VL) testing. To understand trends in pediatric/adolescent VL testing, 7 countries collected data from Laboratory Information Management Systems. Results showed increasing proportion of VL tests done through dried blood spot (DBS) and decreased sample rejection rates for DBS compared with plasma, supporting use of DBS VL when skilled phlebotomy is unavailable.

Novel Compton suppression equipment in [formula omitted]-ray spectrometry with list mode data acquisition

A novel Compton suppression device has been developed at the Radiation and Nuclear Safety Authority of Finland to improve the sensitivity of measurements in the Gamma Laboratory. It utilizes γ–γ anticoincidence, but operates as a full coincidence system. Specific software has been developed for the sorting, visualization and analysis of list mode data produced by the multi-detector list-mode devices in the Gamma Laboratory. By utilizing the software, the coincidence data can be accessed and the true-coincidence losses of photo-peaks of multiple gamma-ray-emitting nuclides restored in the analysis. This simplifies data analysis and further increases the sensitivity of the device in low count-rate gamma spectrometry.A detailed Geant4 simulation model of the device was developed and used to optimize the device as well as to support calibrations and complex analysis tasks.The setup has been integrated to current laboratory information management system used in the Gamma Laboratory. Compton suppression reduces the continuous background seen by the high-purity germanium detector by a factor of 3–10, in addition to comparable reduction in the Compton continuum of any peaks in the spectrum. A comparison with the results of conventional gamma-ray spectrometry is presented.

Establishment of multicenter COVID-19 therapeutics preclinical test system in Republic of Korea

Throughout the recent COVID-19 pandemic, South Korea led national efforts to develop vaccines and therapeutics for SARS-CoV-2. The project proceeded as follows: 1) evaluation system setup (including Animal Biosafety Level 3 (ABSL3) facility alliance, standardized nonclinical evaluation protocol, and laboratory information management system), 2) application (including committee review and selection), and 3) evaluation (including expert judgment and reporting). After receiving 101 applications, the selection committee reviewed pharmacokinetics, toxicity, and efficacy data and selected 32 final candidates. In the nonclinical efficacy test, we used golden Syrian hamsters and human angiotensin-converting enzyme 2 transgenic mice under a cytokeratin 18 promoter to evaluate mortality, clinical signs, body weight, viral titer, neutralizing antibody presence, and histopathology. These data indicated eight new drugs and one repositioned drug having significant efficacy for COVID-19. Three vaccine and four antiviral drugs exerted significant protective activities against SARS-CoV-2 pathogenesis. Additionally, two anti-inflammatory drugs showed therapeutic effects on lung lesions and weight loss through their mechanism of action but did not affect viral replication. Along with systematic verification of COVID-19 animal models through large-scale studies, our findings suggest that ABSL3 multicenter alliance and nonclinical evaluation protocol standardization can promote reliable efficacy testing against COVID-19, thus expediting medical product development.

Development of Integrated Laboratory Management Information System

In 2021 PGRI Semarang University have at least 64 laboratories. This makes it a challenge for a private university to obtain funding independently in managing and maintaining assets of that size. It is necessary to develop an information system that could provide information input and information output facilities managed by the faculty and laboratory managers at the unit level of study programs and faculties, to be further reported as information to institutions and stakeholders. The researcher wants to make it a research goal, by designing and developing a Laboratory Information System (SILab) at the University of PGRI Semarang, which is validly tested according to the design results and is reliable or proven to be used well by users through user response tests.

Impact of computerised provider order entry on the quality and quantity of clinical information included with investigation requests: an interrupted time series analysis

IntroductionRelevant clinical information is vital to inform the analytical and interpretative phases of most investigations. The aim of this study is to evaluate the impact of implementation of computerised provider...

Retracted: Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design.

[This retracts the article DOI: 10.1155/2021/5592185.].

Development and Application of Laboratory Information Management System for Shipbuilding Enterprises

Development and Application of Laboratory Information Management System for Shipbuilding Enterprises

PENGEMBANGAN SISTEM INFORMASI MANAJEMEN LABORATORIUM KOMPUTER UNTUK MENDUKUNG PROSES ADMINISTRASI BEBASIS WEB

The Faculty of Computer Science, Dharmas University Indonesia must have adequate laboratory facilities, this is because the Departments in the Faculty of Computer Science are 60% practice and 40% theory. Currently the facilities owned by this Faculty are quite adequate but administratively they are still not supportive. One of them is the process of borrowing computers, scheduling practices, and processing Inventory data which is still conventional, which is done by recording on a ledger and a piece of paper. If this continues, it is likely that data will easily be lost in the administration of documents and goods data that is not neat. In addition, officers will find it difficult to determine the scheduling of practicum courses. To solve these problems, a web-based laboratory Management Information System was designed to make it easier for workforce officers and lecturers to carry out learning activities and borrow practicum tools. The Waterfall method is used to build this system. The results of the research are web products built using PHP MySQL. Through this system the performance of officers is increasing because officers can manage inventory data, information on incoming and outgoing goods, scheduling courses, borrowing computer workforce facilities easily and quickly.

Development of a modern laboratory information management system for the oil and gas industry

Laboratory Information Management Systems (LIMS) are powerful tools for improving the efficiency of modern laboratories. They are very popular in laboratories due to the presence of a large flow of samples and have the widest functionality – from identifying measurement errors to accounting for stocks. At the same time, redundant tools lead to an increase in the cost and increase of implementation of LIMS. To meet the needs of customers, was started the development of a new LIMS as a client-server web application, available on any device with Internet access. New LIMS will increase the functionality of research laboratories in the oil and gas industry, as well as the process of its implementation is not particularly difficult. Keywords: laboratory information management system; information management; research laboratories; laboratory processes control.

Development and national scale implementation of an open-source electronic laboratory information system (OpenELIS) in Côte d’Ivoire: Sustainability lessons from the first 13 years

PurposeCôte d'Ivoire has a tiered public health laboratory system of 9 reference laboratories, 77 laboratories at regional and general hospitals, and 100 laboratories among 1,486 district health centers. Prior to 2009, nearly all of these laboratories used paper registers and reports to collect and report laboratory data to clinicians and national disease monitoring programs. ProjectSince 2009 the Ministry of Health (MOH) in Côte d'Ivoire has sought to implement a comprehensive set of activities aimed at strengthening the laboratory system. One of these activities is the sustainable development, expansion, and technical support of an open-source electronic laboratory information system (OpenELIS), with the long-term goal of Ivorian technical support and managerial sustainment of the system. This project has addressed the need for a comprehensive, customizable, low- to no-cost, open-source LIS to serve the public health systems with initial attention to HIV clients and later expansion to cover the general population. This descriptive case study presents the first published summary of original work which has been ongoing since 2009 in Côte d’Ivoire to transform the laboratory information management systems and processes nationally. ImpactOpenELIS is now in use at 106 laboratories across Côte d’Ivoire. This article describes the iterative planning, design, and implementation process of OpenELIS in Côte d'Ivoire, and the evolving leadership, ownership, and capacity of the Ivorian MOH in sustaining the system. This original work synthesizes lessons learned from this 13-year experience towards strengthening laboratory information systems in other low resource settings.

Diagnostic yield of broad-range 16s rRNA gene PCR varies by sample type and is improved by the addition of qPCR panels targeting the most common causative organisms.

Introduction. Molecular techniques are used in the clinical microbiology laboratory to support culture-based diagnosis of infection and are particularly useful for detecting difficult to culture bacteria or following empirical antimicrobial treatment.Hypothesis/Gap Statement. Broad-range 16S rRNA PCR is a valuable tool that detects a wide range of bacterial species. Diagnostic yield is low for some sample types but can be improved with the addition of qPCR panels targeting common bacterial pathogens.Aim. To evaluate the performance of a broad-range 16S rRNA gene PCR and the additional diagnostic yield of targeted qPCR applied to specimens according to a local testing algorithm.Methodology. In total, 6130 primary clinical samples were collected as part of standard clinical practice from patients with suspected infection during a 17 month period. Overall, 5497 samples were tested by broad-range 16S rRNA gene PCR and a panel of targeted real-time qPCR assays were performed on selected samples according to a local testing algorithm. An additional 633 samples were tested by real-time qPCR only. The 16S rRNA gene PCR was performed using two assays targeting different regions of the 16S rRNA gene. Laboratory developed qPCR assays for seven common bacterial pathogens were also performed. Data was extracted retrospectively from Epic Beaker Laboratory Information Management System (LIMS).Results. Broad-range 16S rRNA gene PCR improves diagnostic yield in culture-negative samples and detects a large range of bacterial species. Streptococcus spp., Staphylococcus spp. and the Enterobacteriaceae family are detected the most frequently in samples with a single causative organism, but mixed samples frequently contained anaerobic species. The highest diagnostic yield was obtained from abscess, pus and empyema samples; 44.9 % were positive by 16S and 61 % were positive by the combined 16S and targeted qPCR testing algorithm. Samples with a particularly low diagnostic yield were blood, with 3.3 % of samples positive by 16S and CSF with 4.8 % of samples positive by 16S. The increased diagnostic yield of adding targeted qPCR is largest (~threefold) in these two sample types.Conclusion. Broad-range PCR is a powerful technique that can detect a very large range of bacterial pathogens but has limited diagnostic sensitivity. The data in this report supports a testing strategy that combines broad-range and targeted bacterial PCR assays for maximizing diagnosis of infection in culture-negative specimens. This is particularly justified for blood and CSF samples. Alternative approaches, such as metagenomic sequencing, are needed to provide the breadth of broad-range PCR and the sensitivity of targeted qPCR panels.

The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China.

The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. Up to 80,000 participants will be enrolled by the NPCS from 11 regional medical consortia over five years. Individuals are invited to visit one of 11 participating medical consortia to fill out questionnaires, receive a free health exam, and donate biospecimens upon enrolment. All participating medical facilities adhered to standard operating procedures for collecting and processing biospecimens to ensure uniformity (serum, lithium heparinized plasma, ethylene diamine tetraacetie acid plasma, and buffy coat). The Electronic Data Capture System, Picture Archiving and Communication System, Laboratory Information Management System, Biospecimen Quality Control System, Biobank Information Management System, and will be used to sort and classify clinical indices, imaging data, laboratory parameters, pre-analytical variables, and biospecimen information, respectively. All quality assurance and quality control procedures in the NPCS biobank adhered to the "DAIDS Guidelines for Good Clinical Laboratory Practice Standards". This project will integrate high-dimensional multi-omics data, laboratory data, clinical data, questionnaire data, and environmental risk factors. An estimated 2,240,000 aliquots of the sample will be stored by the end of the study. These samples are linked with comprehensively collected clinical indices, imaging data, and laboratory parameters. Big data analysis can be implemented to create predictive algorithms, explore pathogenesis mechanisms, uncover potential biomarkers, and provide information on public health. NPCS will provide an integrative approach to research risk factors and pathogenesis of major chronic or endemic diseases in Sichuan Province and provide key scientific evidence to support the formulation of health management policies in China.

PhenoApp: A mobile tool for plant phenotyping to record field and greenhouse observations

With the ongoing cost decrease of genotyping and sequencing technologies, accurate and fast phenotyping remains the bottleneck in the utilizing of plant genetic resources for breeding and breeding research. Although cost-efficient high-throughput phenotyping platforms are emerging for specific traits and/or species, manual phenotyping is still widely used and is a time- and money-consuming step. Approaches that improve data recording, processing or handling are pivotal steps towards the efficient use of genetic resources and are demanded by the research community. Therefore, we developed PhenoApp, an open-source Android app for tablets and smartphones to facilitate the digital recording of phenotypical data in the field and in greenhouses. It is a versatile tool that offers the possibility to fully customize the descriptors/scales for any possible scenario, also in accordance with international information standards such as MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Furthermore, PhenoApp enables the use of pre-integrated ready-to-use BBCH (Biologische Bundesanstalt für Land- und Forstwirtschaft, Bundessortenamt und CHemische Industrie) scales for apple, cereals, grapevine, maize, potato, rapeseed and rice. Additional BBCH scales can easily be added. The simple and adaptable structure of input and output files enables an easy data handling by either spreadsheet software or even the integration in the workflow of laboratory information management systems (LIMS). PhenoApp is therefore a decisive contribution to increase efficiency of digital data acquisition in genebank management but also contributes to breeding and breeding research by accelerating the labour intensive and time-consuming acquisition of phenotyping data.

The prevalence and risk factors of Trichomonas vaginalis in Wuhan and the Tibetan area, China: a two-center study

Trichomonas vaginalis (T. vaginalis) infection is one of the most common sexually transmitted infections worldwide and is associated with several complications. However, the paucity of research regarding the prevalence of T. vaginalis infection in the Tibetan area limits control efforts. We aimed to evaluate the prevalence of T. vaginalis infection in the Tibetan area by a comparison with the prevalence of T. vaginalis in Wuhan city and to unveil the potential risk factors in the Tibetan area. This descriptive, cross-sectional study was conducted among adult women attending gynecology outpatient clinics in two public hospitals (one in Shannan city of Tibet and one in Wuhan city) in China in 2020. Data were retrieved from the medical record system and laboratory information management system, including T. vaginalis infection, bacterial vaginosis, and vulvovaginal candidiasis by wet mount microscopy or nucleic acid hybridization of vaginal secretions from patients. The associations of variables associated with T. vaginalis prevalence were quantified by odds ratios with 95% confidence intervals. The overall prevalence rates of T. vaginalis infection in the Tibetan area and Wuhan city were 20.94% and 2.84%, respectively. The statistically significant factors for the higher prevalence of T. vaginalis infection in the Tibetan area included tertiary educational status (AOR: 0.36 [95% CI: 0.16–0.81]), yearly family income > ¥100,000 (AOR: 0.48 [95% CI: 0.26–0.91]), clinical symptoms (AOR: 4.58[95% CI: 2.32–9.04]), and III–IV grade vaginal cleanliness (AOR: 29.71 [95% CI: 3.95–223.56]) in the multivariate logistic analysis. Interventions targeting improved living standards as well as women’s educational level and promoting reproductive hygiene habits are recommended to contribute to the reduction in T. vaginalis infection in the Tibetan area.

Neutrophil-to-Lymphocyte Ratio As a Predictor of All-Cause Mortality in the General Population and Patients with Myeloproliferative Neoplasms

Background: Across the human lifespan, an age-related decline in immunocompetence and a concurrent increase in chronic inflammation are evident. The Philadelphia-negative myeloproliferative neoplasms (MPNs) represent a heterogeneous group of acquired hematopoietic stem cell diseases where chronic inflammation is essential for both the clonal evolution and development of comorbidities prior to and after diagnosis. Neutrophilic heterogeneity is well described where neutrophils have the capability to inhibit T-lymphocytes and natural killer cells, potentially implying reduced immune competence, which may enhance the clonal progression and evolution of the malignant clone. Thus, the neutrophil-to-lymphocyte ratio (NLR) is a simple biomarker index that both encapsulates chronic inflammation and reduced immune competence. Increased NLR is associated with several inflammatory-mediated diseases, including MPNs. Aims: We investigated if increased NLR is associated with higher all-cause mortality in both the general population and in patients with myeloproliferative neoplasms in a Danish Cohort with 18 years of follow-up. Methods: Blood cell count measurements were used from The Copenhagen Primary Care Laboratory Database (CopLab), and three hospital-derived Laboratory Information Management Systems from Roskilde, Copenhagen, and the Northern part of Jutland. First, occurring neutrophil and lymphocyte counts were used. Inclusion criteria were an age ≥20 years, hsCRP or CRP <10mg/L. Individuals with inpatient stay or emergency room admissions ±15 days from the sample date were excluded using the Danish National Patient Registry (DNPR), thus allowing only outpatient hospital and general practitioner visits. On included individuals (N=272,933), comorbidities were retrospectively assessed across 19 major disease categories to calculate the Charlson Comorbidity Index score (CCI) using ICD8 and ICD10 codes from DNPR. The sample date for blood count measurements was used as the index date for CCI calculation. MPNs were defined by ICD8 (ET: 28729, PV: 20899, MF: 20900) and ICD10 (ET: DD474 / DD752, PV: DD459, MF: DD474 ). MPN diagnosis after sample date and during follow-up was termed pre-MPN. The CCI score was defined as having 0, 1-2, or >2 comorbidities. NLR was calculated and categorized as NLR <1.5, NLR ≥1.5 - 2, NLR ≥2 - 3, NLR ≥3 - 4, and NLR ≥4. All-cause mortality was ascertained from the National Danish Causes of Death Registry. We used proportional hazard Cox-regression analysis to estimate the hazard ratio (HR) with a 95% confidence interval (95%CI) to investigate all-cause mortality in the general population, MPN patients, and the impact of CCI-score. The analyses were adjusted for age, gender, population, CCI, or NLR. Results: Among 272,933 individuals, 85 had MPN prior to the sample date, whereas 469 developed MPNs during the observation time. Compared to non-MPNs, preMPNs and MPNs had more accumulated comorbidities in both the 1-2 CCI score (17.4% vs. 26.4% vs. 37.7%) and >2 CCI score (4.1% vs. 8.5% vs. 23.5%),P < 2.2x10-16, see figure 1A. For the NLR strata, a stepwise increase in CCI scores was also evident in the 1-2 and >2 CCI scores, P < 2.2x10-16, see figure 1A. During follow-up with 42,831 events, a stepwise increase in all-cause mortality was observed across the population (see figure 1B). Compared to NLR <1.5 (reference group), NLR 1.5-2 had a HR(95%CI) of 1.05 (1.02 - 1.09), P=0.003, NLR 2-3 had a HR(95%CI) of 1.23 (1.20 - 1.27), P <2x10-16, NLR 3-4 had a HR(95%CI) of 1.48 (1.43- 1.53), P<2x10-16 whereas the highest HR(95%CI) was observed among individuals with NLR ≥4 of 1.83 (1.77-1.89),P <2x10-16. We also investigated the impact of CCI and MPNs on all-cause mortality. Compared to No MPNs & No CCI (reference group), No MPN with 1-2 or >2 CCI had an HR(95%CI) of 1.90 (1.85 - 1.93), P <2x10-16 and 3.25 (3.16 - 3.35), P<2x10-16, respectively. In contrast, individuals with MPNs & 0 CCI, 1-2 CCI or >2 CCI had a HR(95%CI) of 2.20 (1.39 - 3.50), P=0.0008, 3.62 (2.25 - 2.58), P=1.17x10-7, and 8.15 (4.90 - 13.52), P=4.78x10-16, respectively. We observed similar results of NLR and MPNs on all-cause mortality. Conclusion: In a general population study, we observed a stepwise increase in mortality among individuals with higher NLR compared to NLR<1.5. Individuals with higher NLR, preMPN, and MPNs had more comorbidities than those with lower NLR and No MPNs measured by the CCI score. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

Minimum Information Standards in Chemistry: A Call for Better Research Data Management Practices.

Research data management (RDM) is needed to assist experimental advances and data collection in the chemical sciences. Many funders require RDM because experiments are often paid for by taxpayers and the resulting data should be deposited sustainably for posterity. However, paper notebooks are still common in laboratories and research data is often stored in proprietary and/or dead-end file formats without experimental context. Data must mature beyond a mere supplement to a research paper. Electronic lab notebooks (ELN) and laboratory information management systems (LIMS) allow researchers to manage data better and they simplify research and publication. Thus, an agreement is needed on minimum information standards for data handling to support structured approaches to data reporting. As digitalization becomes part of curricular teaching, future generations of digital native chemists will embrace RDM and ELN as an organic part of their research.

The Implementation of Laboratory Information Management System in Multi-Site Genetics Study in Africa: The Challenges and Up-Scaling Opportunities

This study describes the roles of laboratory information management systems (LIMS) in multi-site genetics studies in Africa. We used the HiGeneS Africa project as a case study. The study participants were recruited in six African countries between 2019 to 2021. The Baobab LIMS, a server–client-based system (an African-led innovation) was used for the coordination of the biospecimen. The development phase of the LIMS showcased the team formation, data collection, biospecimen collection, and shipment strategies. The implementation phase showcased the biospecimen registration, processing, and quality control (QC) analytics. The sample QC was done using Nanodrop, Qubit, and PicoGreen/gDNATapestation assays. The results showed that a total of 3144 study participants were recruited from Cameroon, Ghana, Mali, Rwanda, Senegal, and South Africa. The biospecimen registration provided a comprehensive registry that included patient demographics, genetic information, and clinical and blood/saliva samples from the proband and family relatives. The QC analyzes identified 30 samples that failed QC, linked to overdue storage in the freezer before DNA extraction. The LIMS components implemented in this project formed a structure that can be upscaled to artificial intelligence-based LIMS. In conclusion, this study represents the largest and the most diverse collection of biospecimens for the genetic study of hearing impairment in Africa to date. A well-characterized LIMS should be recommended for multi-site molecular studies, particularly in Africa, to enhance African participation in global genomic medicine.

Improving the management and security of COVID 19 diagnostic test data with a digital platform in resource-limited settings: The case of PlaCARD in Cameroon.

During the COVID 19 pandemic, round-the-clock demand for COVID -19 laboratory tests exceeded capacity, placing a significant burden on laboratory staff and infrastructure. The use of laboratory information management systems (LIMS) to streamline all phases of laboratory testing (preanalytical, analytical, and postanalytical) has become inevitable. The objective of this study is to describe the architecture, implementation, and requirements of PlaCARD, a software platform for managing patient registration, medical specimens, and diagnostic data flow, as well as reporting and authentication of diagnostic results during the 2019 coronavirus pandemic (COVID -19) in Cameroon. Building on its experience with biosurveillance, CPC developed an open-source, real-time digital health platform with web and mobile applications called PlaCARD to improve the efficiency and timing of disease-related interventions. PlaCARD was quickly adapted to the decentralization strategy of the COVID 19 testing in Cameroon and, after specific user training, was deployed in all COVID 19 diagnostic laboratories and the regional emergency operations center. Overall, 71% of samples tested for COVID 19 by molecular diagnostics in Cameroon from 05 March 2020 to 31 October 2021 were entered into PlaCARD. The median turnaround time for providing results was 2 days [0-2.3] before April 2021 and decreased to 1 day [1- 1] after the introduction of SMS result notification in PlaCARD. The integration of LIMS and workflow management into a single comprehensive software platform (PlaCARD) has strengthened COVID 19 surveillance capabilities in Cameroon. PlaCARD has demonstrated that it can be used as a LIMS for managing and securing test data during an outbreak.

Evaluation of Toxoplasma gondii Molecular Test Results in Patients Admitted to Ankara City Hospital: Three-Year Retrospective Analysis

Aim: Toxoplasma gondii infects about 25-30% of the world population. Toxoplasmosis is generally asymptomatic in immunocompetent individuals, but the infection can be life threatening in congenitally infected children and immunocompromised individuals. In this study, it is aimed to analyse the molecular test results of patients suspected with toxoplasmosis, retrospectively. Material and Method: A total of 647 clinical samples investigated for T. gondii DNA with real-time PCR during the three-year period between 2019 and 2022 were evaluated retrospectively. For the qualitative detection of T. gondii, DNA isolation and DNA amplification were performed using commercial DNA extraction kit (Qiagen, Germany) and real time PCR kit (Sacace Biotechnologies, Italy), respectively. The data on the demographic and clinical parameters of the patients were obtained from the laboratory information management system. Results: Out of 647 patients investigated for T. gondii DNA with real-time PCR, 51.8% were female and the mean age of the patients was 37.03 years. Among all patients, five were positive for T. gondii DNA with real-time PCR and the frequency of a positive PCR result was found 0.8% of all samples analysed. The most frequently positive clinical sample was blood (80%). Among five patients with T. gondii DNA positivity, one was diagnosed with congenital toxoplasmosis, four were HIV-infection. Conclusion: Fast and accurate diagnosis of toxoplasmosis especially in immunosuppressed patients is crucial for rapid and specific treatment. Further studies are needed to understand the importance of molecular tests, in addition to the serological tests, in the diagnosis of toxoplasmosis.

Research Instrument Management System: RIMS, an Application for Lab Instrument Reservation Utilization

Objective: Instrument administration including accessibility control, schedule time for reservation, and periodical machine utilization are essential tasks for high-end molecular laboratory. Such repetitive work can be automated using information technology.Material and Methods: As a part of Laboratory Information Management System (LIMS), the Research Instrument Management System (RIMS) is an online application using a user-friendly platform constructed for efficiency of access, end-user communication, instrument reservation.Results: RIMS utilizes instrument information including the date of set up, machine identification, last preventive maintenance and financial record. Data logging and periodic reports are displayed as a graphical dashboard which is simple and flexible monitoring administration. The researchers are categorized into subgroups according to their experience in operating each instrument and facilitated reservation by the subgroups, i.e., unskilled researchers can make a reservation only after the have attended a training session.Conclusion: The system has now been launched with a continually improving process for fundamental equipment of translational medical research.