Sample management: a primary critical starting point for successful omics studies

Biological samples collected from cohort studies are widely utilized in molecular genetic studies and are typically stored long term for future applications, such as omics analyses. The extent of sample availability is determined by proper sample handling, and it is of primary importance for successful omics studies. However, questions on whether samples in long-term storage are properly available for omics experiments has been raised, because the quality and availability of such samples remain unknown until their actual utilization. In that perspective, several guidelines for proper sample management have been suggested. In addition, several researchers assessed how improper management damages sample using mock sample and suggested a set of requirements for sample handling. In this review, we present several considerations for sample handling eligible for omics studies. Focusing on birth cohorts, we describe the types of samples collected from which omics data were generated. This review ultimately aims to provide proper guidelines for sample handling for successful human omics studies.

Quality of Sample Testing in the Laboratory Unit: Current Situation and Strategies for Improvement

The purpose of this study was to understand the status quo of quality sample testing in the laboratory unit. A quantitative research method was used. An extensive laboratory documents (protocol, worksheets, laboratory analytical plan, standard operating procedures and manuals) review was performed and a networking approach to both management and lab staff at all levels was reviewed in order to identify all non-conformities occurred in the past three years. Results identified 36 number of results deviated from reference standards among different test performed, 400 number of samples lost, the number of laboratory personnel who were not sufficiently trained to take the task properly decreased from 16 in 2016 to 6 in 2018 after conducting training on laboratory quality management system, 36 controlled documents including sample management standard operating procedure, bench job aids were missing and 8 customer complains about the delay of results and quality laboratory of services have been identified.

Digital Pathology Workflow Implementation at IPATIMUP

The advantages of the digital methodology are well known. In this paper, we provide a detailed description of the process for the digital transformation of the pathology laboratory at IPATIMUP, the major modifications that operate throughout the processing pipeline, and the advantages of its implementation. The model of digital workflow implementation at IPATIMUP demonstrates that careful planning and adoption of simple measures related to time, space, and sample management can be adopted by any pathology laboratory to achieve higher quality and easy digital transformation.

A Customized Tool of Incident Reporting for the Detection of Nonconformances at a Single IVF Center: Development, Application, and Efficacy

In IVF centers, risk assessment applies to complex processes potentially accounting for adverse events and reactions that undergo well-established legislative oversight, and nonconformances (NCs), that lack of established tracking systems. NCs account for an integral part of the quality management system, so that their documentation is important. The study evaluated the performance of a customized tool for incident reporting (IR) to track and characterize NCs in a public IVF center. IVF operators used the IVF-customized IR tool to record NCs at the moment of detection or subsequently, and in a time-saving manner during daily practice. From February 2015 to February 2020, 635 NCs were reported leading to the implementation of 10 operative instructions and 3 procedures with corrective strategies. NCs referred to the IVF laboratory were the most numerically meaningful (454/635, 71.5%). The majority (352/454, 77.5%) accounted for NCs related to procedures of sample management; considering the analytical phase as all the procedures involving sample treatment, the intra-analytical phase (176/352, 50%) has always been more subject to NCs compared to pre- (102/352, 29%) and postanalytical (74/352, 21%) phases. Our experience showed that the IVF-customized IR tool is suitable for application in IVF with regard to NC reports and documentation, as it identifies the most vulnerable steps of treatments. It manages NCs over the time, but it requires a contextual understanding of its application in order to avoid NC underestimates that could negatively influence the safety and quality aspects of IVF treatments.

Application Research of Precision Medical Model Based on Big Data in Primary Health Care in China

In this paper, relevant literatures on precision medicine and primary health care under big data from 2005 to 2020 were selected on CNKI, Wanfang Data Knowledge Service Platform, PUBMED and so on. A total of 98 literatures were included to summarize the development, difficulties and suggestions on precision medicine in China. This paper analyzes the application of precision medicine in China’s primary health care and the technical and social problems that precision medicine faces in the era of big data, and puts forward the next research direction of community precision medicine prevention and treatment. Conclusion,: the application of precision medicine in primary health care is still in its infancy. Genomic data, sample management, data quality control standards and data management platform construction are the foundation of community precision medicine. “Intelligent precision medicine” will be the future development direction.