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At least 37 records · Page 2Linked to original sources
PubMed2000

Impact of digital radiography on clinical workflow.

It is commonly accepted that digital radiography (DR) improves workflow and patient throughput compared with traditional film radiography or computed radiography (CR). DR eliminates the film development step and the time to acquire the image from a CR reader. In addition, the wide dynamic range of DR is such that the technologist can perform the quality-control (QC) step directly at the modality in a few seconds, rather than having to transport the newly acquired image to a centralized QC station for review. Furthermore, additional workflow efficiencies can be achieved with DR by employing tight radiology information system (RIS) integration. In the DR imaging environment, this provides for patient demographic information to be automatically downloaded from the RIS to populate the DR Digital Imaging and Communications in Medicine (DICOM) image header. To learn more about this workflow efficiency improvement, we performed a comparative study of workflow steps under three different conditions: traditional film/screen x-ray, DR without RIS integration (ie, manual entry of patient demographics), and DR with RIS integration. This study was performed at the Cleveland Clinic Foundation (Cleveland, OH) using a newly acquired amorphous silicon flat-panel DR system from Canon Medical Systems (Irvine, CA). Our data show that DR without RIS results in substantial workflow savings over traditional film/screen practice. There is an additional 30% reduction in total examination time using DR with RIS integration.

Appointments and Schedules↗
PubMed2006

Automated QSPR through Competitive Workflow.

This paper describes a novel software architecture, Competitive Workflow, which implements workflow as a distributed and competitive multi-agent system. The implementation of a competitive workflow architecture designed to model important computer-aided molecular design workflows, the Discovery Bus, is described. QSPR modelling results for three example ADME datasets, for solubility, human plasma protein binding and P-glycoprotein substrates using an autonomous QSPR modelling workflow implemented on the Discovery Bus are presented. The autonomous QSPR system allows exhaustive exploration of descriptor and model space, automated model validation and continuous updating as new data and methods are made available. Prediction of properties of novel structures by an ensemble of models is also a feature of the system.

ATP Binding Cassette Transporter, Subfamily B, Mem↗
PubMed2006

Extending the understanding of computerized physician order entry: implications for professional collaboration, workflow and quality of care.

OBJECTIVE: To describe the perceived effect of computerized physician order entry (CPOE) on professional collaboration, workflow and quality of care. DESIGN: Semi-structured interviews with experts involved in the design, implementation and evaluation of computerized physician order systems in the United States. MEASUREMENTS: The interview transcripts were analyzed using six key concepts that identify context, professional collaboration, workflow and quality of care. RESULTS: The interviews reveal the complexity of CPOE. Although providers enter the orders, others collaborate in the decision-making process. There is a profound impact on workflow beyond that of the provider. While quality of care is the main impetus for implementation, it remains terribly difficult to measure the impact on quality. CONCLUSIONS: A proper understanding of CPOE as a collaborative effort and the transformation of the health care activities into integrated care programs requires an understanding of how orders are created and processed, how CPOE as part of an integrated system can support the workflow, and how risks affecting patient care can be identified and reduced, especially during hand-offs in the workflow.

Cooperative Behavior↗
PubMed2006

Workflow modeling in critical care: piecing together your own puzzle.

The intensive care unit (ICU) is an instance of a very dynamic health care setting where critically ill patients are being managed. To provide good care, an extensive and coordinated communication amongst the role players, use of numerous information systems and operation of devices for monitoring and treatment purposes are required. The purpose of this research is to study error evolution and management within this environment. The focus is on representing the workflow of critical care environment, which emphasizes the importance such a representation may play in strategizing the management of medical errors. We used ethnographic observation and interview data to build individual pieces of the workflow, dependent on the individual and the activity concerned. Key personnel were intensively followed during their respective patient care activities and the related actions. All interactions were recorded for analysis. These clinicians and nurses were interviewed to complement the observation data and to delineate their individual workflows. These pieces of the ICU workflow were used to develop a generalize-able cognitive model to represent the intricate workflow applicable to other health care settings. The proposed model can be used to identify and characterize medical errors and for error prediction in practice.

Critical Care↗
PubMed1998

Workflow management for multimedia information in clinical laboratories.

Workflow management is a serious concern in any organisation and a clinical laboratory is a particularly good example of where the information system (LIS) needs to be well integrated with the physical system comprising the doctors, technicians and the machines necessary to analyse and report on samples. It is the points of synchronisation between events and decision making in the outside world and control flow inside the information system that constitute the problem domain of workflow management. We propose an extension to the workflow management solution described in the OpenLabs architecture specification in which the emphasis is moved away from an essentially message orientated workflow system to one where the system may reasonably expect to deal with data that includes many different types of information such as images, diagrams, graphs and sound. Our key point is extensibility; the proposed extension of the OpenLabs architecture is able to deal with new data types without significant modification of the workflow management software. Our approach has been based on using some of the desirable features of the Hypertext Markup Language (HTML) and Uniform Resource Locators (URLs) found in the World Wide Web (WWW) and the use of industry standard object technology based on the Object Management Group's (OMG) Common Object Request Broker Architecture (CORBA).

Clinical Laboratory Information Systems↗
PubMed2005

Web services and workflow management for biological resources.

BACKGROUND: The completion of the Human Genome Project has resulted in large quantities of biological data which are proving difficult to manage and integrate effectively. There is a need for a system that is able to automate accesses to remote sites and to "understand" the information that it is managing in order to link data properly. Workflow management systems combined with Web Services are promising Information and Communication Technologies (ICT) tools. Some have already been proposed and are being increasingly applied to the biomedical domain, especially as many biology-related Web Services are now becoming available. Information on biological resources and on genomic sequences mutations are two examples of very specialized datasets that are useful for specific research domains. RESULTS: The architecture of a system that is able to access and execute predefined workflows is presented in this paper. Web Services allowing access to the IARC TP53 Mutation Database and CABRI catalogues of biological resources have been implemented and are available on-line. Example workflows which retrieve data from these Web Services have also been created and are available on-line. CONCLUSION: We present a general architecture and some building blocks for the implementation of a system that is able to remotely execute workflows of biomedical interest and show how this approach can effectively produce useful outputs. The further development and implementation of Web Services allowing access to an exhaustive set of biomedical databases and the creation of effective and useful workflows will improve the automation of in-silico analysis.

Animals↗
PubMed2004

Adaptive guideline-based treatment workflows with AdaptFlow.

One goal in modern medicine is to increase the treatment quality. A major step towards this aim is to support the execution of standardized, guideline-based clinical protocols, which are used in many medical domains, e.g., for oncological chemotherapies. Standardized chemotherapy protocols contain detailed and structured therapy plans describing the single therapy steps (e.g., examinations or drug applications). Therefore, workflow management systems offer good support for these processes. However, the treatment of a particular patient often requires modifications due to unexpected infections, toxicities, or social factors. The modifications are described in the treatment protocol but not as part of the standard process. To be able to further execute the therapy workflows in case of exceptions running workflows have to be adapted dynamically. Furthermore, the physician should be supported by automated exception detection and decision support for derivation of necessary modifications. The AdaptFlow prototype offers the required support for the field of oncological chemotherapies by enhancing a workflow system with dynamic workflow adaptation and rule based decision support for exception detection and handling.

Clinical Protocols↗
PubMed1998

The LabFlow system for workflow management in large scale biology research laboratories.

LabFlow is a workflow management system designed for large scale biology research laboratories. It provides a workflow model in which objects flow from task to task under programmatic control. The model supports parallelism, meaning that an object can flow down several paths simultaneously, and sub-workflows which can be invoked subroutine-style from a task. The system allocates tasks to Unix processes to achieve requisite levels of multiprocessing. The system uses the LabBase data management system to store workflow-state and laboratory results. LabFlow provides a Per15 object-oriented framework for defining workflows, and an engine for executing these. The software is freely available.

Artificial Intelligence↗
PubMed2026

A Simplified Workflow for the Prediction of Putative Viral Reads Using NIPT Data.

OBJECTIVE: Non-invasive prenatal testing (NIPT) identifies fetal chromosomal abnormalities by sequencing cell-free fetal DNA (cffDNA). Recent studies suggest the prediction of viral sequences from NIPT data, but current methods lack cost-effectiveness for routine use. This study develops a straightforward workflow to investigate potential viral signatures in pregnant women using NIPT data from 888 Iranian participants. METHOD: Two bioinformatic workflows were compared for predicting viral reads: the traditional method involved mapping reads to the human genome, followed by mapping unmapped reads to viral references, and a direct mapping approach to viral genomes, as proposed in this research. RESULTS: While maintaining reproducibility comparable to the conventional method, the proposed workflow minimizes computational complexity and time usage for data processing. Ultimately, this analysis suggested viral DNA in 24.2% of samples, encompassing 29 distinct species, implying the diversity of the maternal virome. CONCLUSION: This study presents a computationally efficient workflow for the in silico prediction of viral-like sequences from routine NIPT data. Further experimental validation is essential to verify the presence, viability, or clinical relevance of these sequences.

Humans↗
PubMed2026

Experimental workflows for the accurate identification of mitochondrial redox events.

The study of redox biology has been growing constantly since the last decades. Over these years, redox processes have been linked to an extraordinarily wide range of physiological and pathological events, becoming recognized as central mechanisms underlying many of them. In this context, it becomes essential to understand the advantages and limitations of the tools under use, to recognize the specific controls required for each measurement and to accurately distinguish between distinct redox mechanisms. So far, multiple and excellent reviews have dealt with either the tools, the protocols or the mechanisms involved in reactive oxygen species (ROS) production and quenching, a.k.a. redox events. However, a review outlining the workflows to appropriately detect them is still lacking. We define workflow as the combination of tools, methods and mechanistic knowledge that allow the definition of a specific redox event. In this review, we aim to provide an optimal workflow for the research on mitochondrial redox events. To this end, we first summarize the molecular tools available to measure and quench ROS. We then explain the mechanisms of ROS production and scavenging in several of the cellular compartments, with special focus on mitochondria, as well as their implication in physiology and disease. Finally, we use the knowledge in all sections to build a recommended experimental workflow, illustrated by several cases of study. This review will enable the reader to understand how specific mitochondrial redox events can be accurately measured, considering all technical, methodological and mechanistical variables and limitations required for their reliable detection and interpretation.

(Patho)physiology↗
PubMed2026

A novel reusable transcriptome-wide association study workflow used to map key genes linked to important cattle traits.

Transcriptome-wide association studies (TWAS) are a powerful approach for studying the genes underlying complex traits by directly integrating GWAS and gene expression datasets. In cattle, they have been previously applied to identify genes driving fertility, milk production, and health. However, these studies have also highlighted several challenges, from difficulties in reproducing these complex analyses to limitations from poor genotype calls, especially when called directly from RNA sequencing data. To address these and other challenges, for the H2020 BovReg Project, we have developed a streamlined, species-agnostic, and reusable Nextflow TWAS workflow to integrate transcriptomic and GWAS summary statistic datasets. Our workflow first generates accurate genotype calls and gene expression prediction models from transcriptomic datasets and then applies these tools to impute gene expression levels into GWAS cohorts, enabling the association of genes with traits of interest. We explore optimal strategies for calling genetic variants directly from transcriptomic data and illustrate that using imputation approaches specifically designed for low-pass sequencing data can improve variant calling over previously adopted methods. We demonstrate the utility of our TWAS workflow by applying it to both novel and publicly available GWAS cohorts for cattle, detecting novel gene-trait associations for complex traits. Using a new transcriptome annotation of the cattle genome generated for the BovReg project we also illustrate how previously un-assayable associations can be detected. The results and the workflow we present, provide a new resource for the community and contribute to a better understanding of the molecular drivers of complex traits in cattle with the goal of eventually leveraging this information in future breeding decisions.

Animals↗
PubMed2026

DURABLE: A Workflow for Determining Corrosion-Driving and Protective Microbial Mechanisms.

Microbiologically influenced corrosion (MIC) threatens global infrastructure, causing billions of dollars in annual losses. Its persistence stems from unresolved mechanisms─particularly the metabolites produced by microorganisms that drive or inhibit corrosion─and the microbial community structures. Progress has been hindered by the absence of systematic workflows to rapidly and accurately identify MIC-relevant microorganisms and their functions. Here, we present DURABLE (Detection of Unique Corrosion Resistant or Accelerating Biologics in a Laboratory Environment), a pipeline that couples high-throughput microbial screening with genomic and metabolic workflows. We applied the DURABLE workflow to six diesel tank samples and revealed fuel-dependent microbial community structures, which showed greater diversity and evenness in bacterial communities than their fungal counterparts. The workflow used carbon steel beads to rapidly screen over 80 bacterial isolates for corrosive activity, reducing assay time to approximately 2 days compared with the conventional 30-day metal coupon test. More than 40 isolates were identified as corrosive. Further testing using mass spectrometry analysis revealed corrosion-associated metabolites, which were further validated using electrochemical assays. Thus, DURABLE achieved a ∼15-fold increase in screening speed and provided a scalable and mechanistic framework for dissecting MIC dynamics. We expect this advance will enable the development of precision mitigation strategies in hydrocarbon fuel infrastructure.

Bacteria↗
PubMed2026

Benchmarking the OptiSpray-μPAC Workflow against a Traditional Nanospray Capillary Interface for Multiplexed Quantitative Proteomics.

Nanoflow liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) underpins modern quantitative proteomics, yet the column-to-mass spectrometer interface remains an important yet often underappreciated determinant of analytical depth, sensitivity, and reproducibility. Here, we benchmark an integrated workflow comprising the newly developed OptiSpray ion source and a micropillar array column (μPAC) cartridge against a conventional Nanospray Flex Source with an Accucore resin-packed capillary column. We performed a TMTpro 18-plex experiment across nine human cell lines on a FAIMS Pro-equipped Orbitrap Exploris 480. Following basic-pH reversed-phase fractionation, 12 fractions were analyzed on both workflow configurations under matched chromatographic gradient and acquisition conditions. Across both configurations, we quantified >9000 protein groups with highly comparable quantitative reproducibility and principal component clustering. Direct comparison of protein abundance ratios across cell lines showed agreement (Pearson R2 ≈ 0.7-0.8) without systematic bias. These results were achieved without workflow-specific optimization of the OptiSpray-μPAC platform, enabling direct transfer of established acquisition methods. Despite differences in column architecture, both configurations delivered comparable proteome coverage and quantitative fidelity. These findings establish the OptiSpray-μPAC workflow as a standardized alternative to conventional capillary-based interfaces, offering simplified operation while preserving quantitative performance.

Humans↗
PubMed2025

Misdetection of frameshifts in SARS-CoV-2 genomes: need for additional harmonisation and efficient monitoring of data workflows.

Five years after the outbreak of the SARS-CoV-2 pandemic in 2020, diagnostic laboratories have moved from massive sequencing of thousands of samples to routine surveillance of SARS-CoV-2 cases, as with all other respiratory viruses. Surveillance remains of paramount importance to prevent a further SARS-CoV-2 surge, as the virus has been shown to mutate rapidly and can render available drugs and vaccines ineffective. During the pandemic, several bioinformatics pipelines and workflows have been developed to streamline analysis, shorten turnaround time and ensure reproducibility. As the number of samples decreases, laboratories are moving towards more flexible sequencing strategies and optimizing the cost per sample. However, workflow redesigns, even if individual steps have proven successful time and time again, can lead to challenges when changes in a bioinformatics pipeline are introduced (e.g. version updates, implementation of new features, etc.), a new combination of viral mutations emerge or a change in wet-lab procedures leads to unpredictable results. Here, we present a report of misidentified frameshift mutations in the consensus sequence of SARS-CoV-2, which led to an incorrect assumption of mutations in the spike and nucleocapsid viral proteins with the potential to affect PCR detection or even antigen testing. This investigation exemplifies the need for better awareness of the challenges that can occur even when using routinely applied protocols and analytical workflows and highlights the need for cooperation between experts of NGS, bioinformaticians and decision-makers towards more harmonized data workflows.

SARS-CoV-2↗
PubMed2006

A balanced evaluation perspective: picture archiving and communication system impacts on hospital workflow.

Around the world, hospitals are faced with both budget and regulatory pressures, forcing them to re-examine the way clinical practice is carried out. Proposed technologies that provide workflow enhancements include Picture Archiving and Communications Systems (PACS); however, is PACS really effective in improving hospital workflow and the flow onto patient care, and how should this be evaluated? An acknowledged and successful approach for organizational evaluation is the Balanced Scorecard (BSC), providing the fundamental features for assessing organizations from various perspectives. In this research, the impact of PACS on the workflow of a large public hospital in Melbourne, Australia, is examined using an adapted version of the BSC. Empirically, this model was applied as an evaluation instrument through a series of in-depth interviews with PACS users. Results show that PACS did improve hospital workflow considerably and that the organizational alignment of PACS in hospitals is an important critical success factor.

Efficiency, Organizational↗
PubMed2005

Multidetector-row CT: economics and workflow.

With rapid evolution of multidetector-row CT (MDCT) technology and applications, several factors such as technology upgrade and turf battles for sharing cost and profitability affect MDCT workflow and economics. MDCT workflow optimization can enhance productivity and reduce unit costs as well as increase profitability, in spite of decrease in reimbursement rates. Strategies for workflow management include standardization, automation, and constant assessment of various steps involved in MDCT operations. In this review article, we describe issues related to MDCT economics and workflow.

Economics, Medical↗
PubMed2005

Analytical performance and workflow evaluation of the Roche E170 modular immunoassay analyzer in a pediatric setting.

OBJECTIVES: To evaluate the analytical performance of the Roche E170 modular analytics immunoassay analyzer and assess its impact on workflow efficiency and ability to consolidate workstations in a pediatric setting. DESIGN AND METHODS: Analytical performance of eleven common immunoassays was assessed. Total imprecision was determined using Roche PreciControl Universal controls, Bio-Rad Lyphochek Immuno Plus, Anemia controls, and a human serum pool. Method comparison was performed with approximately 100 patient specimens. High dose hook effect, sample carryover, and results comparison between the two measuring channels were evaluated. For the workflow study, the time required for sample and reagent handling, instrument preparation, and hands-on time were assessed. RESULTS: Correlation coefficients with existing methods ranged from 0.941 to 0.999. Biases of -19% to 70% were observed. Total imprecision ranged from 1.1 to 7.6%. No sample carryovers were encountered. Results from both measuring channels were comparable. CONCLUSION: E170 is suitable for use in a pediatric setting. The analytical performance is acceptable and gives equivalent results to our existing systems. The precision is comparable and acceptable. Some improvement in efficiency, workflow, cost saving, and consolidation of workstations is possible. Significant workflow improvements can only be realized when integrated with the chemistry modules.

Autoanalysis↗
PubMed2005

KDE Bioscience: platform for bioinformatics analysis workflows.

Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for biologists to learn how to use these tools and to translate the data formats from one to another. Consequently, the construction of an integrative bioinformatics platform to facilitate biologists' research is an urgent and challenging task. KDE Bioscience is a java-based software platform that collects a variety of bioinformatics tools and provides a workflow mechanism to integrate them. Nucleotide and protein sequences from local flat files, web sites, and relational databases can be entered, annotated, and aligned. Several home-made or 3rd-party viewers are built-in to provide visualization of annotations or alignments. KDE Bioscience can also be deployed in client-server mode where simultaneous execution of the same workflow is supported for multiple users. Moreover, workflows can be published as web pages that can be executed from a web browser. The power of KDE Bioscience comes from the integrated algorithms and data sources. With its generic workflow mechanism other novel calculations and simulations can be integrated to augment the current sequence analysis functions. Because of this flexible and extensible architecture, KDE Bioscience makes an ideal integrated informatics environment for future bioinformatics or systems biology research.

Biological Science Disciplines↗