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At least 127 records · Page 7Linked to original sources
PubMed2002

[Contribution of anesthesia to workflow operation].

The changes in our health care system caused by the introduction of DRGs make it necessary for us to abandon departmental process structures in favour of total hospital orientated process structures. An interdisciplinary approach is crucial to enable the most effective use of personnel and material resources. Future orientated information technology and organisational structures will enable us to process our patients effectively and efficiently from pre-admission to discharge. Anaesthesia has to be integrated into a patient management system for in- and out-patients. The essential matters for consideration are anaesthesia consulting hours, the common establishment of process structures for preoperative care, operation room management and postoperative patient care. Routine controls and analysis of the required teamwork reveal improvement potential and enable us to use the necessary control elements effectively.

Anesthesia Department, Hospital↗
PubMed2001

Impact of an electronic information system on physician workflow and data collection in the intensive care unit.

OBJECTIVE: To test the hypotheses that: (1) integrating information processing tasks using an electronic clinical information system (ECIS) decreases time to complete these tasks by hand; and (2) structured data entry encourages generation of more detailed records and capture of specific data elements even when entry is voluntary. DESIGN: Prospective observational time analysis during medical documentation tasks. Retrospective analysis of clinical documentation completed by hand or electronically. SETTING: Eleven bed pediatric intensive care unit within an academic medical center. PARTICIPANTS: Five pediatric intensive care medicine attending physicians. MEASUREMENTS: Compared handwritten and electronic documentation to determine: (1) time spent entering data or composing notes; (2) number of descriptors documenting patients' physical exams; (3) users' preferences for structured or unstructured data entry; (4) frequency of documenting specific data elements related to nutritional support. RESULTS: Documentation time varied by user but not charting method: it took 13 % less time to document using the ECIS but this was not significant. Electronic documents were more detailed than handwritten containing 50 % more descriptors (17.8 +/- 1.4 vs 11.6 +/- 1.4) overall and some data elements that were not handwritten: information related to nutritional supplementation was recorded in 13 % of electronic documents but in none of 89 handwritten documents. CONCLUSIONS: Electronic and handwritten documentation consumed equal amounts of time. Structured entry, compared to handwriting, may encourage recording of specific or otherwise unincorporated data elements resulting in a more detailed record. This suggests that user interfaces and decision support components may influence both the types and complexity of clinical data recorded by caregivers.

Analysis of Variance↗
PubMed2003

[Non-invasive assessment of coronary flow reserve--valuable functional information in cardiac workflow].

Coronary flow reserve (CFR) can be determined echocardiographically in the LAD in about 90% and in the RCA in more than 70% of patients, respectively, by the use of modern high-resolution ultrasound equipment. For this purpose either high frequency fundamental imaging or echo-contrast enhanced harmonic Doppler technology is used. The main advantage of the method lies in its noninvasiveness and the lack of radiation exposure. In combination with coronary morphologic findings obtained from heart catheterization, CFR is helpful in the planning of further invasive procedures for coronary artery disease and in the estimation of the prognosis of such procedures. The functional status after PTCA of LAD/RCA or mammary bypass surgery can be evaluated during follow-up monitoring. Alteration in the coronary microcirculation can also be discovered in a non-invasive manner; improvement of microcirculatory disorders by adequate therapy can be assessed by serial measurements of CFR

Angioplasty, Balloon, Coronary↗
PubMed2002

Process involved in reading imaging studies: workflow analysis and implications for workstation development.

Software development for imaging workstations has lagged behind hardware availability. To guide development and to analyze work flow involved in interpretation of cross-sectional imaging studies, we assessed the cognitive and physical processes. We observed the performance and interpretation of body computed tomography (CT scans and recorded the events that occurred during this process. We studied work flow using a bottleneck analysis. Twenty-four ofa total of 54 cases (44%) involved comparing the images with those of prior scans. Forty-seven of 54 scans (87%) were viewed using windows other than soft tissue, or compared with precontrast scans. In 46 cases (85%), the interpretation stopped to return to a previous level for review. Measurement of lesions was performed in 24 of 54 (44%) cases, and in 15 (63%)of these cases, measurements were taken of lesions on old studies for comparison. Interpretation was interrupted in 14 of 54 cases (26%) by referring clinicians desiring consultation. The work flow analysis showed film folder retrieval by the film room to be the bottleneck for interpretation by film. For picture archiving and communication system (PACS) reading,the CT examination itself proved to be the bottleneck. We conclude that workstations for CT interpretation should facilitate movement within scans, comparison with prior examinations, and measuring lesions on these scans. Workstation design should consider means of optimizing time currently not used between interpretation sessions, minimizing interruptions and providing more automated functions currently requiring physician interaction.

Efficiency, Organizational↗
PubMedDate not supplied

Component-based development for supporting workflows in hospitals.

Changing requirements for health care information systems force the development of an open, modular architecture in which components can be integrated. This offers a flexible means for integrating different (heterogeneous) systems used by different users. Selecting the components to integrate, and determining the 'right way' to integrate them, necessitates a shift in focus towards the business process to be supported. The realization of such an open, modular architecture is a difficult task. It consists of breaking down existing systems in required components and integrating these and other components. Many authors on component-based development strategies focus attention on the technological issues of component integration (do we use CORBA, DCOM/OLE, or EDI?). This paper presents an approach for determining the required components, and the way they have to be integrated, based on an analysis of the business process to be supported, and the information systems currently used.

Computer Communication Networks↗
PubMedDate not supplied

Radiology speech recognition: workflow, integration, and productivity issues.

Continuous voice recognition is now a reality, with at least 3 major vendors providing independent systems for radiology departments. However, to be truly useful, such systems must be integrated into the overall medical informatics architecture including order entry into the radiology information system, the ability to receive orders from the radiology information system, acceptance and transcription of dictation, and transmission of validated reports to the hospital information system (HIS)for billing capture. In addition, the system should permit sufficient flexibility to permit radiologists to operate in multiple modes: real-time recognition, batch processing, or spooling of audio files for later transcription by human agents, which is especially useful for very difficult accents. This article demonstrates the various modes of operation for 2 recognition systems that have been used in our center, describes the basics of their recognition models, examines the HL7 messages required for medical informatics integration, and finally illustrates the effect on report turnaround times.

Computer Communication Networks↗
PubMed2002

ENDscript: a workflow to display sequence and structure information.

UNLABELLED: ENDscript is a web server grouping popular programs such as BLAST, Multalin and DSSP. It uses as query the co-ordinates file of a protein in Protein Data Bank format and generates PostScript and png figures showing: residues conserved after a multiple alignment against homologous sequences, secondary structure elements, accessibility, hydropathy and intermolecular contacts. Thus, the user can relate quickly 1D, 2D and 3D information of a protein of known structure. AVAILABILITY: http://genopole.toulouse.inra.fr/ENDscript

Amino Acid Sequence↗
PubMed2024

Proteome-scale tissue mapping using mass spectrometry based on label-free and multiplexed workflows.

Multiplexed bimolecular profiling of tissue microenvironment, or spatial omics, can provide deep insight into cellular compositions and interactions in healthy and diseased tissues. Proteome-scale tissue mapping, which aims to unbiasedly visualize all the proteins in a whole tissue section or region of interest, has attracted significant interest because it holds great potential to directly reveal diagnostic biomarkers and therapeutic targets. While many approaches are available, however, proteome mapping still exhibits significant technical challenges in both protein coverage and analytical throughput. Since many of these existing challenges are associated with mass spectrometry-based protein identification and quantification, we performed a detailed benchmarking study of three protein quantification methods for spatial proteome mapping, including label-free, TMT-MS2, and TMT-MS3. Our study indicates label-free method provided the deepest coverages of ~3500 proteins at a spatial resolution of 50 µm and the highest quantification dynamic range, while TMT-MS2 method holds great benefit in mapping throughput at >125 pixels per day. The evaluation also indicates both label-free and TMT-MS2 provide robust protein quantifications in identifying differentially abundant proteins and spatially co-variable clusters. In the study of pancreatic islet microenvironment, we demonstrated deep proteome mapping not only enables the identification of protein markers specific to different cell types, but more importantly, it also reveals unknown or hidden protein patterns by spatial co-expression analysis.

Journal Article↗
PubMed2026

Novel insights into tomato leaf curl New Delhi virus introduction and evolution in Southeastern France using an advanced long-read sequencing workflow.

The Mediterranean population of tomato leaf curl New Delhi virus (ToLCNDV-ES) is characterized by a high genetic uniformity, distinguishing it from its Asian counterparts. ToLCNDV-ES is thought to have a monophyletic origin, likely resulting from a single recombination event, prior to its spread throughout the Mediterranean region. Following its first detection in southeastern France in 2020, ToLCNDV-ES re-emerged in France in 2022. Our analysis based on advanced long-read sequencing, circular DNA profiling, and phylogeny indicates both local persistence of French ToLCNDV-ES and multiple independent introduction events. Signatures of positive selection were identified in French ToLCNDV-ES populations, whereas no clear evidence of recombination was found. Bayesian time-structured phylogenetic analyses suggest that introductions in France occurred between 2018 and 2021 from the major ToLCNDV-ES clade, while several Italian ToLCNDV-ES isolates diverged prior to the virus introduction in the Mediterranean basin. Overall, this study demonstrates the value of an optimized long-read sequencing approach for resolving circular DNA virus diversity, and sheds light on the complex evolutionary history of ToLCNDV-ES in the Mediterranean Basin, particularly in southeastern France.

France↗
PubMed2026

Trustworthy Agentic AI in Bioinformatics: From Workflow Automation to Traceable and Validated Biological Inference.

Agentic artificial intelligence is extending bioinformatics beyond conversational assistance by enabling systems to select tools, execute code, revise analytical plans, and interpret biological data. These capabilities may accelerate research, but they also redistribute decisions that determine whether biological conclusions are valid. We conducted a targeted, structured PubMed search in July 2026 and identified 11 peer-reviewed agentic bioinformatics systems for descriptive review based on predefined eligibility criteria for analytical decision-making, tool or code execution, iterative evaluation, or coordinated agent activity. The evidence base covered single-cell transcriptomics, microbial genomics, cancer genomics, and omics applications, together with methodological literature on reproducibility and biological validation. We examined how current systems report delegated authority, provenance, validation, evidence, abstention, and human oversight. Existing platforms implement safeguards such as sandboxed execution, restricted commands, interaction logs, evidence identifiers, automated checks, critic agents, quality scores, and expert assessment. However, published reports rarely provide a connected account linking the original biological question to samples, reference resources, analytical decisions, computational actions, statistical results, supporting evidence, validation outcomes, and final claims. We distinguish inherited bioinformatics errors, errors amplified through autonomous action, and emergent failures arising from memory, retrieval, tool interaction, or agent coordination. We further propose a multidimensional decision-rights profile, consequence-sensitive validation gates, and a claim-to-evidence provenance architecture organized through the Traceable History of Research Evidence, Agent Actions, and Decisions in Bioinformatics (THREAD-Bio) framework. Illustrative cases show that technically successful execution may still support misleading inference. Trustworthy agentic bioinformatics therefore requires claims to remain reconstructible, challengeable, validated, and proportionate to the evidence.

accountable autonomy↗