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1.
Food Chem ; 367: 130681, 2022 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-34359005

RESUMO

Parallel data analysis was investigated to improve performance in variable selection and to develop predictive models for beer quality control. A set of spectral near infrared (NIR) data from 60 beer samples and its primitive extracts as the original concentration was used. The dataset was distributed to Raspberry Pi 3 Model B devices connected to a network that was running a Machine Learning service. With more than 4 devices acting in parallel, it was possible to reduce time in 57% to find the best linear regression coefficient (0.999) with the lower RMSECV (0.216) if compared to a singular desktop computer. Thus, parallel processing can significantly reduce the time to indicate the best model fitted during the variable's selection.


Assuntos
Cerveja , Espectroscopia de Luz Próxima ao Infravermelho , Análise dos Mínimos Quadrados , Modelos Lineares , Controle de Qualidade
2.
Spectrochim Acta A Mol Biomol Spectrosc ; 265: 120363, 2022 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-34562862

RESUMO

Carbonized traditional Chinese medicine (TCM) is a kind of distinctive traditional drug which has been widely used in various bleeding syndromes for over two thousand years, and most of them are still in clinical use. Although they share similar processing method: stir-frying, there are no specific quality standards and few quality control researches carried out on carbonized TCM up until now. Carbonized Typhae Pollen (CTP) is a typical carbonized TCM with efficacy of eliminating blood stasis and stanching bleeding. In this study, a novel process quality control model coupled with near infrared spectroscopy was established, called Gradient-based Discriminant Analysis method (GDA). Compared with conventional modeling methods (Convolutional Neural Network, Linear Discriminant Analysis, Standard Normal Variate-LDA), GDA model applied in fiber optic probe acquisition mode exhibited highest test accuracy (0.961), satisfactory correct identification (internal validation, 100%; external validation, 97.1%) and excellent model stability. This method provided a perfect guideline for process quality control of Carbonized TCM as well as ensured their clinical efficacy.


Assuntos
Medicina Tradicional Chinesa , Espectroscopia de Luz Próxima ao Infravermelho , Análise Discriminante , Análise de Fourier , Pólen , Controle de Qualidade
3.
J Pharm Biomed Anal ; 207: 114376, 2022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-34656935

RESUMO

Botanicals have played an important role in maintaining human health and well-being throughout history. During the past few decades in particular, the use of botanical health products has gained more popularity. Whereas, quality, safety and efficacy concerns have continuously been critical issues due to the intrinsic chemical complexity of botanicals. Chemical analytical technologies play an imperative role in addressing these issues. Nuclear magnetic resonance (NMR) spectroscopy has proven to be a powerful and useful tool for the investigation of botanical health products. In this review, NMR techniques and methodologies that have been successfully applied to the research and development of botanical health products in all stages, from plants to products, are discussed and summarized. Furthermore, applications of NMR together with other analytical techniques in a variety of domains of botanical health products investigation, such as plant species differentiation, adulteration detection, and bio-activity evaluation, are discussed and illustrated with typical examples. This article provides an overview of the potential uses of NMR techniques and methodologies in an attempt to further promote their recognition and utilization in the field of botanical health products analysis and quality control.


Assuntos
Contaminação de Medicamentos , Plantas , Humanos , Espectroscopia de Ressonância Magnética , Controle de Qualidade
4.
Food Chem ; 372: 131288, 2022 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-34655830

RESUMO

Determination of ten biogenic amines in alcoholic beverages by HPLC coupled to a potentiometric detector for food quality control is herein presented. Biogenic amines were separated by ion-pair chromatography on a C18 column using a gradient mobile phase of acetic acid, acetonitrile, and butane-sulfonic acid. Detection was accomplished by a miniaturized amine-selective electrode. The method was validated following ICH and Eurachem guidelines. Linear regression models provided R2 values from 0.9870 ± 0.0019 to 0.9991 ± 0.0014 for tyramine and cadaverine, respectively. Detection and quantification limits depend on the molecular weight of BAs, ranging from 9.3 to 60.5 and from 31.1 to 202.3 µg L-1 for methylamine and spermine, respectively. Repeatability and intermediate precision showed RSD values lower than 5.8 and 8.3%, respectively. Accuracy of assays yielded recovery values from 86.4 to 109.9%. The biogenic amines content in red wine, white wine, and beer samples were 7.54, 5.24, and 4.58 mg L-1, respectively.


Assuntos
Aminas Biogênicas , Vinho , Bebidas Alcoólicas/análise , Cerveja/análise , Aminas Biogênicas/análise , Cromatografia Líquida de Alta Pressão , Controle de Qualidade , Vinho/análise
5.
Methods Mol Biol ; 2404: 83-110, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34694605

RESUMO

The emergence of ribosome profiling as a tool for measuring the translatome has provided researchers with valuable insights into the post-transcriptional regulation of gene expression. Despite the biological insights and technical improvements made since the technique was initially described by Ingolia et al. (Science 324(5924):218-223, 2009), ribosome profiling measurements and subsequent data analysis remain challenging. Here, we describe our lab's protocol for performing ribosome profiling in bacteria, yeast, and mammalian cells. This protocol has integrated elements from three published ribosome profiling methods. In addition, we describe a tool called RiboViz (Carja et al., BMC Bioinformatics 18:461, 2017) ( https://github.com/riboviz/riboviz ) for the analysis and visualization of ribosome profiling data. Given raw sequencing reads and transcriptome information (e.g., FASTA, GFF) for a species, RiboViz performs the necessary pre-processing and mapping of the raw sequencing reads. RiboViz also provides the user with various quality control visualizations.


Assuntos
Ribossomos , Perfilação da Expressão Gênica , Regulação da Expressão Gênica , Biossíntese de Proteínas , Controle de Qualidade , RNA Mensageiro/metabolismo , Ribossomos/genética , Ribossomos/metabolismo , Análise de Sequência de RNA , Transcriptoma
6.
J Pharm Biomed Anal ; 207: 114428, 2022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-34710727

RESUMO

Quality control for Chinese patent medicine (CPM) containing animal-derived crude drug(s) is rather difficult. The methods based on chemical composition analysis, which are commonly used in CPM consisted of plant-derived crude drugs, are often not applicable for CPM containing animal-derived crude drug, because the effective constituents of most animal-derived crude drugs remain unknown. Even if there are such methods, they are usually qualitative rather than quantitative, and the specificity is generally poor. Here we proposed a molecular quantification method for CPM containing animal-derived crude drug, based upon the hypothesis that the amount of remnant DNA fragments could reflect feeding quantity of the crude drugs and thus ensure the quality of the CPM. Take Jinlong capsule [a hepatocellular carcinoma-resisting Chinese patent medicine comprising of three fresh animal drugs, i.e. Shougong (Peking gecko, Gekko swinhonis), Qi She (sharp-snouted pitviper, Deinagkistrodon acutus), and Jinqian Baihua She (many-banded krait, Bungarus multicinctus)] as an example, we established a qPCR assay for Qi She in the capsule, which verified the feasibility of the quality control method based on molecular quantification. Species-specific primers and TaqMan probe for Qi She were designed, and the qPCR assay system was then established. The assay exhibited a good specificity; there's a good linearity between Ct values and logarithm of the target amplicon copy numbers within the range of 8.8 × 101 to 8.8 × 106 copies/µL, and the limit of detection was 88 copies/µL. The method was validated through reproducibility, stability assessment. Recovery of spiked samples was between 91.59% and 101.69%. It was verified that the copy numbers reflected the original feeding amount of an animal-derived crude drug by self-made Jinlong capsules. The assay was successfully applied in Qi She-specific amplicon determination in 20 batches of Jinlong capsule. The study was expected to provide a new strategy for quality control of CPM containing animal-derived crude drug.


Assuntos
Medicamentos de Ervas Chinesas , Neoplasias Hepáticas , Animais , China , Feminino , Medicina Tradicional Chinesa , Medicamentos sem Prescrição , Controle de Qualidade , Reprodutibilidade dos Testes
7.
Ann Lab Med ; 42(2): 121-140, 2022 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-34635606

RESUMO

The process of method development for a diagnostic assay based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) involves several disparate technologies and specialties. Additionally, method development details are typically not disclosed in journal publications. Method developers may need to search widely for pertinent information on their assay(s). This review summarizes the current practices and procedures in method development. Additionally, it probes aspects of method development that are generally not discussed, such as how exactly to calibrate an assay or where to place quality controls, using examples from the literature. This review intends to provide a comprehensive resource and induce critical thinking around the experiments for and execution of developing a clinically meaningful LC-MS/MS assay.


Assuntos
Serviços de Laboratório Clínico , Espectrometria de Massas em Tandem , Cromatografia Líquida , Humanos , Laboratórios , Controle de Qualidade
8.
Ann Lab Med ; 42(2): 150-159, 2022 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-34635608

RESUMO

Background: Results from laboratories using multiple instruments should be standardized or harmonized and comparability-verified for consistent quality control. We developed a simple frequent comparability verification methodology applicable to large healthcare centers using multiple clinical chemistry instruments from different manufacturers. Methods: Comparability of five clinical chemistry instruments (Beckman Coulter AU5800, Abbott Architect Ci16000, two Siemens Vista 1500, and Ortho Vitros 5600) was evaluated from 2015 to 2019 for 12 clinical chemistry measurements. Pooled residual patient samples were used for weekly verifications. Results from any instrument exceeding the allowable verification range versus the results from the comparative instrument (AU5800) were reported to clinicians after being multiplied by conversion factors that were determined via a linear regression equation obtained from simplified comparison. Results: Over the five-year study period, 432 weekly inter-instrument comparability verification results were obtained. Approximately 58% of results were converted due to non-comparable verification. Expected average absolute percent bias and percentage of non-comparable results for non-converted and converted results after conversion action were much lower than those for data measured before conversion action. The inter-instrument CV for both non-converted and converted results after conversion action was much lower than that for measured data before conversion action for all analytes. Conclusions: We maintained within-laboratory comparability of clinical chemistry tests from multiple instruments for five years using frequent low-labor periodic comparability verification methods from pooled residual sera. This methodology is applicable to large testing facilities using multiple instruments.


Assuntos
Química Clínica , Laboratórios , Testes de Química Clínica , Atenção à Saúde , Humanos , Controle de Qualidade
9.
Food Chem ; 370: 131006, 2022 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-34509144

RESUMO

The contents and profiles of small molecules in a food can provide information about quality-related properties. Processing methods and deterioration during storage, e.g. from bacterial proliferation and degradation, might also lead to changes in the metabolome, which can be determined by mass spectrometry-based metabolomics. By measuring as many metabolites as possible in differently treated pre-cooked chicken fillets in an untargeted approach, we studied individual and combined effects of vacuum packaging (VP), soluble gas stabilisation (SGS), high pressure processing (HPP), and microwave volumetric heating (MW) on the quality and shelf-life of the finished product. The extensive dataset was processed using an optimised workflow of consecutive software tools with stringent statistical analysis to prevent over-interpretation, which is an inherent risk of metabolomics data. Our results showed the predominant influence of VP on storage quality since SGS, HPP, and MW did not have the potential to extent shelf-life.


Assuntos
Galinhas , Culinária , Animais , Embalagem de Alimentos , Metabolômica , Controle de Qualidade , Fluxo de Trabalho
10.
Chemosphere ; 286(Pt 1): 131624, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34315070

RESUMO

Quantitative characterization of dissolved organic matter (DOM) in various aquatic ecosystems has become of increasing importance as its transformation plays a key role in inland water carbon, yet few studies have quantified water DOM inputs to storage lakes for water quality control and safety assurance. This study assessed the quantity and quality of DOM in 21 inflow rivers of Nansi Lake as the important storage lake of large-scale water transfer projects by using excitation-emission matrix spectroscopy coupled with parallel factor analysis (EEM-PARAFAC) and ultraviolet-visible (UV-Vis) spectroscopy. The results showed that DOM contents varied significantly with an average value of 5.8 mg L-1 in different inflow rivers, and three fluorescence substances (including UVC humic-like, UVA humic-like and tyrosine-like components) were identified by EEM-PARAFAC. The distribution of the DOM components was distinctively different among sampling sites, and UVA humic-like component mainly dominated in Nansi Lake. Meanwhile, DOM components with higher aromaticity and molecular weight were found in the west side of lake. Fluorescence spectral indexes manifested that the source of DOM was mainly from allochthonous or terrestrial input. Moreover, significant correlations between water quality and DOM characteristics were observed in Nansi Lake. These findings would be beneficial to understand the biogeochemical role and impact of DOM in inflowing rivers in the water-quality monitoring and control of storage lakes.


Assuntos
Lagos , Qualidade da Água , Ecossistema , Análise Fatorial , Substâncias Húmicas/análise , Lagos/análise , Controle de Qualidade , Rios , Espectrometria de Fluorescência
11.
Spectrochim Acta A Mol Biomol Spectrosc ; 264: 120250, 2022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-34391991

RESUMO

Botanical drugs hold great potential to prevent and treat complex diseases. Quality control is essential in ensuring the safety, efficacy, and therapeutic consistency of these drug products. The quality of a botanical drug product can be assessed using a variety of analytical methods based on criteria that judge the identity, strength, purity, and potency. However, most of these methods are developed on separate analytical platforms, and few approaches are available for in-process monitoring of multiple quality properties in a non-destructive manner. Here, we present a hyperspectral imaging-based strategy for online measurement of physical, chemical, and biological properties of botanical drugs using artificial intelligence algorithms. An end-to-end convolutional neural network (CNN) model was established to accurately determine phytochemicals and bioactivities based on the spectra. Besides, a new dual-scale anomaly (DSA) detection algorithm was proposed for visible particle inspection based on the images. The strategy was exemplified on Shuxuening Injection, a Ginkgo biloba-derived drug used in the treatment of cerebrovascular and cardiovascular diseases. Four quality metrics of the injection, including total flavonol, total ginkgolides, antioxidant activity, and anticoagulant activity, were successfully predicted by the CNN model with validation R2 of 0.922, 0.921, 0.880, and 0.913 respectively, showing better performance than the other models. Unqualified samples with visible particles could be detected by DSA with a low false alarm rate of 9.38 %. Chromaticity results indicated that the inter-company variations of color were significant, while intra-company variations were relatively small. This demonstrates a real application of integrating hyperspectral imaging with artificial intelligence to provide a rapid, accurate, and non-destructive approach for process analysis of botanical drugs.


Assuntos
Inteligência Artificial , Imageamento Hiperespectral , Algoritmos , Redes Neurais de Computação , Controle de Qualidade
12.
J Pharm Biomed Anal ; 207: 114379, 2022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-34607168

RESUMO

Process Analytical Technology (PAT) instruments include analyzers capable of measuring physical and chemical process parameters and key attributes with the goal of optimizing process controls. PAT in the form of a probe or sensor is designed to integrate within the pharmaceutical manufacturing line and is coupled with computing equipment to perform chemometric modeling for result interpretation and multilayer statistical control of processes. PAT solutions are intended for understanding bioprocesses with a goal to control quality at all stages of product manufacturing and achieve quality by design (QbD). The goal of PAT implementation is to promote real-time release of products to decrease the cycle time and cost of production. This review focuses on the applications of PAT solutions at different stages of the manufacturing process for vaccine production, the advantages, challenges at present state, and the vision of the future development of biopharmaceutical industries.


Assuntos
Produtos Biológicos , Tecnologia Farmacêutica , Controle de Qualidade
13.
J Pharm Biomed Anal ; 207: 114342, 2022 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-34634530

RESUMO

Artesunate-mefloquine is one of the commonly-used artemisinin-based combination therapies (ACTs). Given the significance of drug quality in the management of malaria cases, the objective of this study was to develop antibody-based assays as the point-of-care (POC) tests for monitoring the quality of this ACT. Using mefloquine conjugated to a carrier protein as the immunogen, we selected a specific monoclonal antibody (mAb) against mefloquine with no cross-reactivity to other antimalarial drugs. Using this mAb, we developed a direct competitive enzyme-linked immunosorbent assay (dcELISA) and a lateral flow immunoassay (LFIA) to measure the mefloquine contents. The dcELISA for mefloquine showed a 50% inhibitory concentration (IC50) and a working range of 2.79 ng/mL and 0.58-16.37 ng/mL, respectively. With the aid of a portable optical scanner, the LFIA had a working range of 0.15-2.67 µg/mL for mefloquine. When used to measure mefloquine contents in commercial drugs, the dcELISA and LFIA results were compatible with those determined using high-performance liquid chromatography. Using the same LFIA format, we developed a combination LFIA, which correctly estimated the artesunate and mefloquine contents in commercial ACTs. Therefore, both LFIAs could be used as POC devices for rapid quality control of artesunate and mefloquine in ACTs.


Assuntos
Antimaláricos , Antimaláricos/uso terapêutico , Artesunato , Quimioterapia Combinada , Imunoensaio , Mefloquina , Controle de Qualidade
14.
Environ Monit Assess ; 193(12): 827, 2021 Nov 18.
Artigo em Inglês | MEDLINE | ID: mdl-34796399

RESUMO

Inclusion of pesticide monitoring data in pesticide risk assessment is important yet challenging for several reasons, including infrequent or irregular data collection, disparate sources procedures and associated monitoring periods, and interpretation of the data itself in a policy context. These challenges alone, left unaddressed, will likely introduce unintentional and unforeseen risk assessment conclusions. While individual water quality monitoring programs report standard operating procedures and quality control practices for their own data, cross-checking data for duplicated data from one database to another does not routinely occur. Consequently, we developed a novel quality control and assurance methodology to identify errors and duplicated records toward creating an aggregated, single pesticide database toward use in ecological risk assessment. This methodology includes (1) standardization and reformatting practices, (2) data error and duplicate record identification protocols, (3) missing or inconsistent limit of detection and quantification reporting, and (4) site metadata scoring and ranking procedures to flag likely duplicate records. We applied this methodology to develop an aggregated (multiple-source), national-scale database for atrazine from a diverse set of surface water monitoring programs. The resultant database resolved and/or removed approximately 31% of the total ~ 385,000 records that were due to duplicated records. Identification of sample replicates was also developed. While the quality control and assurances methodologies developed in this work were applied to atrazine, they generally demonstrate how a properly constructed and aggregated single pesticide database would benefit from the methods described herein before use in subsequent statistical and data analysis or risk assessment.


Assuntos
Atrazina , Praguicidas , Atrazina/análise , Monitoramento Ambiental , Praguicidas/análise , Controle de Qualidade , Padrões de Referência
15.
J Healthc Eng ; 2021: 1964054, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34745492

RESUMO

In today's competitive environment, one of the new tools in the field of information technology is business or organizational dashboards that are a backup in the process of strategic management of organizations. The purpose of the current research is to provide a framework to design the healthcare dashboard through technical architecture with fulfilling the decision-makers' requirements. In this study, a common qualitative research method, metasynthesis, is applied, including a seven-step set of research questions, conducting systematic literature search and selection of suitable papers, data extraction, analysis and findings of the qualitative composition, quality control, and presentation of findings. During this process, 102 articles were found by saturation of information resources and then 12 articles were selected for extracting data using acceptance and rejection criteria. A critical evaluation method was used to evaluate the quality of selected articles. After investigating the selected articles and scoring them, in terms of quality, one article was very good, 10 articles were good, and one article was moderate. Then, with regard to the principles and guidelines of technical architecture, the required information was extracted from the selected articles and was analyzed with the method of open, axial, and selective coding. Following the steps of metasynthesis methods, the principles extracted with major and minor titles principles and guidelines in the form of multilayered system architecture including presentation layer, application layer, data layer, and technical infrastructure layer were classified. In the obtained framework, 15 indicators as the main principles and 66 subcriteria as the subsidiary principles for the design and technical architecture of enterprise dashboards were identified.


Assuntos
Atenção à Saúde , Instalações de Saúde , Humanos , Controle de Qualidade
16.
Biomed Instrum Technol ; 55(4): 143-164, 2021 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-34727572

RESUMO

In the design, control, and regulation of the manufacturing and supply of microbiologically controlled devices (including sterile devices) and drug products (including cleaning, disinfection, and sterilization processing and/or aseptic process manufacturing), different terms and/or definitions are often used for similar processes or applications internationally. With product innovations (including combination products and cell-based therapy) and global regulatory influences, there is a growing need to harmonize these definitions. The objective of the Kilmer Regulatory Innovation microbiological quality and sterility assurance glossary is to clarify and harmonize the practical use of terms employed by the different parts of regulated healthcare product industries internationally and by regulators of the manufacturing and supply of microbiologically controlled healthcare products internationally. The glossary is expected to continue to evolve, and further industry, academic, and regulatory input is encouraged.


Assuntos
Contaminação de Equipamentos/prevenção & controle , Esterilização , Controle de Qualidade
17.
J Med Syst ; 45(12): 105, 2021 Nov 02.
Artigo em Inglês | MEDLINE | ID: mdl-34729675

RESUMO

Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surpass the performance of existing tools, yet the reality is usually more complicated. Reliable deployment of ML4H to the real world is challenging as examples from diabetic retinopathy or Covid-19 screening show. We envision an integrated framework of algorithm auditing and quality control that provides a path towards the effective and reliable application of ML systems in healthcare. In this editorial, we give a summary of ongoing work towards that vision and announce a call for participation to the special issue  Machine Learning for Health: Algorithm Auditing & Quality Control in this journal to advance the practice of ML4H auditing.


Assuntos
Algoritmos , Aprendizado de Máquina , Controle de Qualidade , Humanos
18.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(4): 575-578, 2021 Apr 10.
Artigo em Chinês | MEDLINE | ID: mdl-34814432

RESUMO

Birth cohort is an effective method to explore the relationship between various prepregnant and pregnant exposures and the health of fetuses, infants and young children. It is a long construction period to build a birth cohort and the quality of research may be affected by many factors. This paper reviews the quality assurance and quality control measures in the process of China National Birth Cohort (CNBC), and summarizes the construction experience. We aim to provide experience for related cohort studies, which could improve the quality of cohort studies through removing the impact of related factors. CNBC adopted a series of measures to ensure the quality of research in the top-level design of quality assurance, including screening research center, developing member management system, formulating standard operating procedures and training staff by it. In terms of quality control, it includes real-time, timely and timing quality control for the process of data generation, full-cycle quality control for biological sample collection, processing, storage and comprehensive three-dimensional quality control for staff training, supervision and quantitative assessment.


Assuntos
Estudos de Coortes , Criança , Pré-Escolar , China , Feminino , Humanos , Lactente , Gravidez , Controle de Qualidade
19.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(4): 586-590, 2021 Apr 10.
Artigo em Chinês | MEDLINE | ID: mdl-34814434

RESUMO

Birth cohort is an important observational study which can continuously and dynamically collect the exposure changes and health outcomes from gametophyte development to adolescence and even old age. However, because of its complex design and difficult implementation, how to construct birth cohort with high quality and high efficiency is the main difficulty faced by epidemiologists at home and abroad. In 2016, China National Birth Cohort was officially launched. The network and information technology were used to explore, and a set of "cloud-based information platform" was established to support this queue construction, containing 16 units in China. After four years of development, the platform has formed a complete set of programs about the construction of cohort information platform, which including recruitment and follow-up management of participants, real-time data interaction, queue quality control, multi-level authority management and function division. The relevant design framework and functional elements provide the references to the future information construction of large-scale birth cohort and even population-based research in China.


Assuntos
Computação em Nuvem , Projetos de Pesquisa , China , Estudos de Coortes , Humanos , Controle de Qualidade
20.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(5): 918-922, 2021 May 10.
Artigo em Chinês | MEDLINE | ID: mdl-34814489

RESUMO

In medical research, the quality of data is the key to success. Thus, data quality control becomes an important part of ensuring the research's high quality. REDCap system is an emerging data acquisition system in medical research, which is gradually applied in research at home and abroad. It is a hot issue to realize double data entry and data quality control in using the REDCap system, which researchers are concerned about when this system is supposed to apply. This article will systematically introduce how to use the REDCap system for double data entry and quality control from the aspects of research project creation, data collection tool design, double data entry, data checking and exporting.


Assuntos
Pesquisa Biomédica , Projetos de Pesquisa , Coleta de Dados , Humanos , Controle de Qualidade
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