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PubMed2006

Governing time in operating rooms.

AIM: This paper examines how time is controlled and governed in operating rooms through interpersonal communication between nurses and doctors. BACKGROUND: Time is a valuable commodity in organizations with improvements often directed towards maximizing efficiencies. As a consequence, time can be a source of tension and interpersonal conflict as individuals compete for control of its use. METHODS: The data in this paper emanate from an ethnographic study that explored a range of communication practices in operating room nursing. Participants comprised 11 operating room nurses. Data were collected over two years in three different institutional settings and involved participant observation, interviews and the keeping of a personal diary. A deconstructive analysis of the data was undertaken. RESULTS: Results are discussed in terms of the practices, in which clinicians are engaged in, to govern and control their use of time. The four practices presented in this paper include; questioning judgment and timing, controlling speed, estimating surgeons' use of time and coping with different perceptions of time. CONCLUSIONS: Time and speed were hotly contested by nurses. They used their personal knowledge of individual surgeon's habits of time to govern and control practice. Nurses thought about surgeons in terms of time and developed commonly accepted understandings about the length of surgical procedures. They used this knowledge to manage the scheduling of operations in the departments and to control the workflow in individual operating rooms. Knowledge of individual surgeons was a source of power for operating room nurses. RELEVANCE TO CLINICAL PRACTICE: Nurses have more power in the operating room than might be imagined but they exercise this power in subtle ways. If operating rooms are to work effectively, the operating room team must understand each others' work better.

Adaptation, Psychological↗
PubMed2005

Understanding technology adoption in clinical care: clinician adoption behavior of a point-of-care reminder system.

BACKGROUND: Evaluation studies of clinical decision support systems (CDSS) have tended to focus on assessments of system quality and clinical performance in a laboratory setting. Relatively few studies have used field trials to determine if CDSS are likely to be used in routine clinical settings and whether reminders generated are likely to be acted upon by end-users. Moreover, such studies when performed tend not to identify distinct user groups, nor to classify user feedback. AIM: To assess medical residents' acceptance and adoption of a clinical reminder system for chronic disease and preventive care management and to use expressed preferences for system attributes and functionality as a basis for system re-engineering. DESIGN OF STUDY: Longitudinal, correlational study using a novel developmental trajectory analysis (DTA) statistical method, followed by a qualitative analysis based on user satisfaction surveys and field interviews. SETTING: An ambulatory primary care clinic of an urban teaching hospital offering comprehensive healthcare services. 41 medical residents used a CDSS over 10 months in their daily practice. Use of this system was strongly recommended but not mandatory. METHODS: A group-based, semi-parametric statistical modeling method to identify distinct groups, with distinct usage trajectories, followed by qualitative instruments of usability and satisfaction surveys and structured interviews to validate insights derived from usage trajectories. RESULTS: Quantitative analysis delineates three types of user adoption behavior: "light", "moderate" and "heavy" usage. Qualitative analysis reveals that clinicians of distinct types tend to exhibit views of the system consistent with their demonstrated adoption behavior. Drawbacks in the design of the CDSS identified by users of all types (in different ways) motivate a redesign based on current physician workflows. CONCLUSION: We conclude that this mixed methodology has considerable promise to provide new insights into system usability and adoption issues that may benefit clinical decision support systems as well as information systems more generally.

Attitude of Health Personnel↗
PubMedDate not supplied

HIS/RIS/PACS integration: getting to the gold standard.

The technology for acquiring, storing, retrieving, displaying, and distributing images has advanced dramatically in recent years. The push is toward enterprise-wide image management solutions, where digital images from radiology, cardiology, and other "ologies" are seamlessly linked with information from clinical information systems and other databases, and they are accessed seamlessly from a single point of end-user interaction. The "gold standard" of system integration would provide the platform for improved workflow, patient throughput and patient safety, as well as decreased cost. Unfortunately, the gold standard remains elusive in most healthcare environments, even those with new systems. One of the earliest issues that plagued the progress of hospital information system/radiology information systems/picture archiving and communication systems (HIS/RIS/PACS) integration was a matter of language between Health Level-7 (HL7) and DICOM. This barrier was solved by the broker--a software and hardware device that accepts HL7 messages from the RIS then translates, or maps, the data to produce DICOM messages for transmission to the PACS. Technologist workflow requires patient and exam information from the RIS to flow to the modality. The broker provides support for this by taking advantage of the DICOM Modality Worklist (DMWL). Two primary problems are inherent in most brokered configurations. Workflow is driven by paper, and RIS information flows in 1 direction only, which leads to duplicative databases. Overcoming the limitations of HIS/RIS/PACS connectivity requires industry accepted communication protocols/rules. To facilitate this, the Integrating the Health Care Enterprise (IHE) initiative was developed. The goal of IHE is to provide end-users improved access to critical patient and clinical information across all systems within the healthcare delivery network. While the IHE initiative began to facilitate more efficient, predictable, and functional integration between disparate systems, vendors still had technology hurdles to overcome. System integration continues to be significantly hampered, not by technology limitations, but instead by business and political issues. In response to these challenges, several vendors have begun to offer consolidated RIS/PACS solutions and/or HIS/RIS/PACS solutions. Consequently, the prospect of the gold standard appears to be on the horizon. Single vendor consolidated systems are not, however, feasible for deployment in many healthcare organizations, and they are not necessarily the panacea.

Database Management Systems↗
PubMed2026

Conference report: the third Bacterial Genome Sequencing Pan-European Network conference.

The third Bacterial Genome Sequencing Pan-European Network conference, held in Engelberg, Switzerland (12-15 January 2026), brought together experts from six European countries to discuss the implementation of bacterial genome sequencing in clinical microbiology and public health. Key themes included regulatory frameworks (In Vitro Diagnostic Regulation, General Data Protection Regulation), standardization, quality control, data sharing, economic evaluation, and the integration of artificial intelligence and long-read sequencing into diagnostic workflows. Across presentations, panel discussions, and workshops, participants emphasized that successful implementation of genome sequencing requires more than technical capacity: it depends on robust validation, sustainable funding, interoperable data standards, ethical governance, and interdisciplinary collaboration. The meeting highlighted that sequencing should remain question-driven and clinically meaningful, balancing cost, turnaround time, and public health impact. Overall, the conference reinforced the need for coordinated European efforts to advance responsible, standardized, and sustainable genomic surveillance and diagnostics.

bacterial genome sequencing↗
PubMedDate not supplied

Simulation software: engineer processes before reengineering.

People make decisions all the time using intuition. But what happens when you are asked: "Are you sure your predictions are accurate? How much will a mistake cost? What are the risks associated with this change?" Once a new process is engineered, it is difficult to analyze what would have been different if other options had been chosen. Simulating a process can help senior clinical officers solve complex patient flow problems and avoid wasted efforts. Simulation software can give you the data you need to make decisions. The author introduces concepts, methodologies, and applications of computer aided simulation to illustrate their use in making decisions to improve workflow design.

Computer Simulation↗
PubMed1999

Anatomy of picture archiving and Communications systems: nuts and bolts--image acquisition: getting digital images from imaging modalities.

Digital acquisition of data from the various imaging modalities for input to a picture archiving and communication system (PACS) is discussed. Essential features for successful clinical implementation including Digital Imaging and Communications in Medicine (DICOM) compliance, radiology information system (RIS)/hospital information system (HIS) interfacing, and workflow integration are detailed. Image acquisition from the inherently digital cross-sectional modalities are described, as well as digital acquisition of the conventional projection x-ray using computed radiography (CR), direct digital radiography (DDR), and film digitizers.

Diagnostic Imaging↗
PubMed2026

Next-Generation Disease Profiling by Integrating Histopathology with Spatial Multi-Omics Data.

The field of pathology has experienced several transformative changes in recent years with the advent of digital pathology and spatial multi-omics. These technologies have enhanced every aspect of pathology practice, from streamlining daily workflows to generating high-fidelity multi-omics data that provide pathologists with novel tools to refine disease profiling and clinical diagnosis. Each layer of multimodal data (genomic, metabolomic, proteomic, or transcriptomic) has uncovered a distinct facet of disease pathologies, and combined with machine learning/artificial intelligence-based data analysis and pattern recognition models, has provided holistic understanding of regulatory mechanisms underpinning them. However, high-dimensional data have far exceeded the volume, scale, and complexity of immunostaining methods implemented by pathologists and, thus, have generated significant challenges related to deconvolution, interpretation, and clinical translation. Furthermore, these multimodal studies have predominantly relied on computational methods to process data and extract disease-relevant insights, thus raising questions around relevance or role of a pathologist in this new era of multi-omics. This review will provide a perspective on the evolving fields of molecular histopathology and spatial -omics, leveraging them to approach disease profiling, and redefining the role of a pathologist during this process.

Humans↗
PubMed2025

Foundations of Artificial Intelligence in Hepatology: What a Clinician Needs to Know.

This review focuses on foundational knowledge about artificial intelligence (AI) in hepatology, exploring how AI, including machine learning and deep learning, leverages large-scale clinical data to transform the diagnosis, risk assessment, prognostication, and management of liver diseases. Online resources are described to offer fundamental AI knowledge and essential technical skills and to facilitate clinician participation across the entire AI lifecycle, ensuring they contribute not only as end users but also in development and deployment. Unlike traditional statistical approaches that prioritize interpretable parameters and clinical insight, AI focuses on maximizing predictive accuracy by identifying complex, often non-linear patterns using high-dimensional data, albeit often at the cost of model interpretability. AI is demonstrating clinical utility in liver histopathology and radiological imaging, significantly improving detection accuracy for cirrhosis, clinically significant portal hypertension, and hepatocellular carcinoma. Beyond diagnostics, AI-driven prediction models are emerging to provide personalized risk stratification for the development of liver-related complications and treatment guidance, based on complex data including longitudinal laboratory results, comorbidities, and co-medication use to monitor disease progression and therapy response. The field is rapidly expanding into novel areas such as analyzing patient-reported outcomes, genomic data, and real-time liver function monitoring, offering deeper mechanistic insights alongside clinical tools. Despite the potential to revolutionize hepatology practice and research, successful integration into routine care faces challenges. These include seamless workflow integration with existing electronic health records, establishing clear liability frameworks, and guaranteeing protection of patient privacy. Addressing these hurdles requires collaborative efforts from clinicians, researchers, and regulators to develop best practices and governance. Understanding the transformative capabilities, current applications, emerging frontiers, and essential implementation considerations is crucial for clinicians navigating the evolving AI landscape and responsibly utilizing its power for improved patient outcomes.

PROBAST+AI↗
PubMed2003

Evaluating clinical information systems.

As members of organizational committees to evaluate and select clinical information systems, nurse executives must identify a system that not only has the core functionality to support necessary changes in workflow and optimize nurse productivity and patient safety but that also is embraced by the nursing staff. There are specific features that nurse executives must demand to help nurses at the bedside reap the greatest benefit from the technology.

Decision Making↗
PubMed2005

Analysis of the comparative workflow and performance characteristics of the VITEK 2 and Phoenix systems.

The VITEK 2 (bioMérieux, Marcy L'Etoile, France) and the Phoenix systems (BD Diagnostic Systems, Sparks, Md.) are automated instruments for rapid organism identification and susceptibility testing. We evaluated the workflow, the time to result, and the performance of identification and susceptibility testing of both instruments. A total of 307 fresh clinical isolates were tested: 141 Enterobacteriaceae, 22 nonfermenters, 93 Staphylococcus spp., and 51 Enterococcus spp. Manipulation time was measured in batches, each with seven isolates, for a total of 39 batches. The mean (+/- standard deviation [SD]) manipulation time per batch was 20.9 +/- 1.8 min for Phoenix and 10.6 +/- 1.0 min for VITEK 2 (P < 0.001). Mean (+/-SD) time to result for all bacterial groups was 727 +/- 162 min for Phoenix and 506 +/- 120 min for VITEK 2 (P < 0.001). Concerning identification, Phoenix and VITEK 2 yielded the same results for nonfermenters (100%), staphylococci (97%), and enterococci (100%). For 140 Enterobacteriaceae strains evaluated, 135 (96%) were correctly identified by Phoenix and 137 (98%) by VITEK 2 (P = 0.72). The overall category agreement for all isolates was 97.0% for both instruments. The minor error rate, major error rate, and very major error rate for all bacterial isolates tested were 3.0, 0.3, and 0.6 and 2.8, 0.2, and 1.7 for Phoenix and VITEK 2, respectively (P values of 0.76, 0.75, and 0.09). The VITEK 2 system required less manual manipulation time and less time than the Phoenix system to yield results.

Automation↗
PubMed2004

[Coxiella burnetii: what is the reality?].

After the Second World War, in Italy Q Fever or Coxiellosis has been shown a significant relevance, a recrudescence with an epidemic state for over ten years. Later, the infectious disease occurred as endemic since the 80s, the outbreaks were just isolated. Workflows analysis of some authors has demonstrated the spread out of the infection throughout Italian herds with a prevalence ranging from 1.2 per cent to 10 per cent. Our survey carried out throughout Campania area in cattle has shown a real positivity over 14 per cent performing the IFAT for the detection of IgG antibodies for Coxiella burnetii. Therefore, it has been so important to stress the influence of cattle farming management in stables as a real risk of Coxiellosis. For example, the Relative Risk (RR) has been registrated about 6.84 (2.18<RR<21.4) in comparison with some herds permanently housed than those kept unhoused and about 8.4 (1.8<RR<38.6) in housed herds and those permanently kept at pasture. Therefore, we have detected a seroprevalence of Q Fever about 11.8 per cent within sheep and about 6.3 per cent within goats. The investigations have focused buffaloes too, tested by several authors, especially from India, but in Italy, only Galiero has recorded significant results: the overall seroprevalence (1.2 per cent) was observed within 1012 buffaloes. Other studies have demonstrated that dogs may transmit Q Fever to humans by infected birth fluids and membranes and by urine. Because of this observation, addressed some of our search projects to assess possible relation among other pathogens, such as Leishmania infantum, Rickettsia conori and Ehrlichia canis. The results have confirmed the presence of C. burnetii (seroprevalence about 7 per cent) within tested dogs in southern Italy. There was no direct estimated relationship between C. burnetii and E. canis and R. conori, instead of significant relation has been shown for L. infantum. The investigation focused on the direct interaction between seropositivity and the age of ruminants. For example, the highest prevalence has been observed in cows and sheep ranging from 3-5 years in which the infection risk was higher than in younger herds. In accordance with the workflows serological analysis, C. burnetii is widespread in Italy among housed ruminants. PCR assay was, therefore performed to test cows with clinical signs of abortion and neonatal mortality. All the survey involved 305 animals (267 foeti and 38 stillborn) with 77 positive herds showing DNA of C. burnetii. To detect C. burnetii pathogen in milk samples, two methods have been combined: the immunomagnetic separation (IMS) and PCR assay, obtaining an increasing of sensitivity (10(-17)) more than only PCR technique (10(-8)). The overall analysis of serological and biomolecular results has demonstrated that C. burnetii is really widespread and may have detrimental effects on farm management system.

Abortion, Veterinary↗
PubMed2006

How healthcare IT can address the nursing shortage.

But if applied correctly, IT can play an important role in redefining the way nursing is conducted. It can do so by introducing flexible models of nursing education to increase the pool of qualified nursing professionals; automating and standardizing nursing workflows; eliminating paperwork; supporting patient care delivery models that address the needs of an older workforce; establishing point-of-care clinical decision support tools to improve patient safety; and making health, wellness, and patient education information available. If healthcare IT solutions are deployed in direct response to nursing's ills, particularly job dissatisfaction, the positive image of nursing can be restored, once again making it a career of choice. IT can further reverse the tide of nursing defections, which continually drain the healthcare industry of experienced and dedicated professionals. Finally, both individually and collectively, healthcare IT technologies can reorient nursing activity back towards its principal role of delivering quality patient care.

Hospital Information Systems↗
PubMedDate not supplied

Current approaches and controversial issues in the diagnosis of deep vein thrombosis via duplex Doppler ultrasound.

Duplex and color Doppler sonography (DUS) is currently the technique of choice for the diagnosis of deep venous thrombosis (DVT) in symptomatic patients, because it has proven safe and cost-effective, with a very high sensitivity and specificity (96% and 98%, respectively) for the diagnosis of proximal DVT. Several issues regarding its method and clinical indications remain controversial, however. Although isolated calf vein thrombosis does not seem to have a significant adverse outcome in the short term, scanning the calf only in patients with localized symptoms or signs is cost-effective. Bilateral examination is indicated in high-risk patients or when screening asymptomatic patients. When negative, a complete DUS examination of the proximal and distal veins, at least down to the level of the popliteal trifurcation, allows withholding anticoagulant therapy without the risk of major complications. This examination may be repeated if signs or symptoms worsen. Some populations of asymptomatic patients at high risk of DVT may benefit from DUS screening. Bilateral DUS examination of lower limb veins should be performed as the initial examination in the workflow of pulmonary embolism only in patients with risk factors for DVT. Recurrent thrombosis is a challenging diagnosis for all imaging modalities. A diagnostic strategy combining clinical probability score and D-dimer test may refine the selection of patients. The pitfalls and limitations of venous DUS are related to vein anatomy, flow changes, technical issues, and operator expertise.

Humans↗
PubMed2002

Complexity of biomedical data models in cardiology: the Intranet-based AF registry.

Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with major complications. Ongoing research is focused on new pacing devices for alternative treatment of this disease. The objective of an AF registry is to store prospectively all relevant data covering clinical information, quality of life and device parameters and by this means provide a platform for long-term follow-up. For statistical analysis, categorical and numerical items are required, thus a high-granular data structure must be defined and implemented in the clinical setting. Facing the limits of formalization, we developed an XML-based documentation scheme consisting of 619 items in eight tables and implemented it with state-of-the-art Intranet technology. At present detailed information on 88 patients is recorded. The pacing device generates per patient and follow-up visit a file consisting of approximately 400-500 parameters provided on a floppy disk, which are transferred by means of a specific interface into the database. Success factors for integration of a complex research database into the routine workflow of a busy university hospital are interfaces between data sources to enable non-redundant data entry, intensive fine tuning by iterative software engineering and benefit for the clinical users in form of clinical reports and patient-specific summaries. Data quality must be assured by plausibility checks. To get an overview of this complex dataset we developed a dedicated visualization tool. Due to the high number of items a large patient collective must be recruited for statistical evaluation. Interinstitutional cooperation is required for a consensus on common minimal documentation schemes to enable pooling of data.

Atrial Fibrillation↗
PubMed2005

[Assessment of two different software solutions for the evaluation of CT colonography].

PURPOSE: To compare a commercial CT colonography software ("Colonography", Siemens, Forchheim) with a non-commercial post-processing system ("Colotux", Department of Informatics). MATERIAL AND METHODS: Identical data sets of 10 patients, who underwent an ultra-low-dose multi-detector CT colonography (ULD-MDCTC) (4x1 mm collimation, 8 mm pitch, 120 kVp, 10 mAs) were analyzed retrospectively. Assessment was performed using both software solutions by two resident radiologists, who did not have any experience with any colonography software tool before and who did not know the clinical symptoms of the patients or the results of the conventional colonoscopy. Both systems were analyzed using several subjective quality criteria including workflow, handling, image quality, endoluminal navigation and analysis of lesions with grading on a 5-point-scale. Results concerning polyps were compared between the two systems as well as with conventional colonoscopy. RESULTS: Both colonography systems detected the same number of polyps. Although both showed some advantages for single criteria, no relevant difference was noted in general for subjective assessment. The time for calculation of three dimensional interactive volumes was three times longer for "Colotux" compared to "Colonography." Linux-based "Colotux" showed a trend towards better subjective image quality and easier measurement of polyp size. An intuitive desktop and "Syngo"-workflow integration were advantages of "Colonography." CONCLUSION: The analysis of CT colonographies (4-detector-row-CT-scanner, ultra low dose technique, supine position) can adequately be achieved by both software solutions. There was no significant subjective or objective difference of quality between a "stand-alone" individual system and a commercial workflow-integrated solution. A relevant factor for decision between the two systems may be the difference in time needed for the 3D volume calculation, especially in institutes with a high frequency of examinations.

Aged↗
PubMed2026

Proteomics-based approaches to neutrophil biology.

INTRODUCTION: Neutrophils are central effectors of innate immunity and key contributors to inflammation, host defense, and tissue injury across a wide range of physiological and pathological contexts. Due to their short lifespan, rapid activation, and extensive post-translational regulation, comprehensive molecular characterization of neutrophil function requires approaches that go beyond transcriptomics or marker-based analyses. AREAS COVERED: This review summarizes how proteomic technologies have advanced the understanding of neutrophil biology by enabling unbiased, system-wide profiling of protein abundance, subcellular organization, post-translational modifications, and functional heterogeneity. We discuss global and subcellular proteomics, PTM-centric analyses, and emerging low-input and single-cell proteomic strategies, highlighting recent studies of infection, cancer, metabolic disorders, aging, autoimmune disease, and inflammation. The literature covered includes current large-scale quantitative proteomics, targeted PTMs, and integrative multi-omics studies in both human samples and relevant experimental models. EXPERT OPINION: Proteomics has established neutrophils as highly plastic and context-dependent cells whose functions are governed by coordinated remodeling of signaling, metabolism, and effector pathways. Future progress will depend on expanding neutrophil-specific PTM maps, improving low-input workflows, and integrating single-cell and spatial proteomics. Together, these advances are expected to redefine neutrophil functional states and accelerate translation toward clinically meaningful biomarkers and therapeutic strategies.

Humans↗
PubMed2002

Active sick leave for patients with back pain: all the players onside, but still no action.

STUDY DESIGN: Semistructured interviews, group discussions, and a mailed survey. OBJECTIVE: To identify barriers to the use of active sick leave (ASL) and to design an intervention to improve the use of ASL by patients with low back pain. SUMMARY OF BACKGROUND DATA: ASL was introduced in Norway in 1993 to encourage people on sick leave to return to modified work. With ASL the National Insurance Administration (NIA) pays 100% of wages, thereby allowing the employer to engage a substitute worker at no extra cost, in addition to the worker on ASL. Arranging ASL requires cooperation between the general practitioner (GP), employer, local NIA staff, and the patient, which may explain why ASL was used in less than 1% of the eligible sick leave cases in 1995, despite strong support from all players. METHODS: The authors conducted five in-depth interviews at a workplace where ASL was successfully implemented. Questionnaires were sent to 89 GPs, 102 workplace representatives, and 22 local NIA officers in three counties. Five patients with back pain who had used ASL were interviewed in a focus group, and 10 patients with back pain who had not used ASL were interviewed using a structured guide. Five workplaces participated in a dialogue conference. Data collection and analysis were iterative, and new data were constantly compared with the previously analyzed materials. RESULTS: About 80% of the GPs, employers, and NIA officers believed ASL is effective in reducing long-term sick leave. Among the barriers identified were lack of information, lack of time, and work flow barriers such as poor communication and coordination of activities between the players required to carry out ASL. Two strategies were designed to improve the workflow between them. A passive implementation strategy was designed to require a minimum amount of economic and administrative support. It included targeted information, clinical guidelines for low back pain, a reminder to GPs in the sick leave form, and a standardized agreement. A proactive strategy included the same four elements plus a kick-off continuing education seminar for GPs and a trained resource person to facilitate the use of ASL. CONCLUSIONS: Having all the players onside may be essential, but it is not sufficient to bring about action in workplace strategies for patients with low back pain. If early return to modified work is effective, implementing it may require interventions targeted at identified barriers.

Communication↗