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Representing clinical guidelines in UMl: a comparative study.

Clinical guidelines can be represented using models, such as GLIF, specifically designed for healthcare guidelines. This paper demonstrates that they can also be modelled using a mainstream business modelling language such as UML. The paper presents a guideline in GLIF and as UML activity diagrams, and then presents a mapping of GLIF primitives to UML. The potential benefits of using a mainstream modelling language are outlined. These include availability of advanced modelling tools, transfer between modelling tools, and automation via business workflow technology.

Diabetes Mellitus↗

The development of a digital image database of clinical photographs.

At the end of December 1998, the traditional clinical slide library at the Media Resources Centre University Hospital of Wales and University of Wales College of Medicine was closed to new acquisitions. This paper describes how a digital image database (Image AXS) has been customized to provide a source of rapidly accessible and easily searchable images, suitable for teaching and reference purposes. The basic functions of the program are explained and areas such as data integrity, image capture, storage, archiving and the impact that this technology has had on departmental workflow are discussed.

Databases as Topic↗

CR/DR systems: what each technology offers today; what is expected for the future.

Computed radiography (CR) is considered by some to be the work-horse for digital image capture of general radiography exams because it is affordable, offers excellent image quality and exposure latitude and utilizes existing x-ray systems. CR systems deliver digital imaging to general radiology departments and lower-volume areas that can include hospital floors and outpatient imaging centers. Digital radiography (DR) technology is more expensive, but some believe it earns its keep with significant productivity gains and the capacity for higher image quality or lower dose. DR systems are especially appropriate for emergency room settings and high-volume areas in general radiology departments, orthopedic clinics, imaging centers and other facilities. Facilities with growing patient volumes and limited space often choose to install DR systems in one or 2 exam rooms to double the productivity of those rooms, while one or more CR systems serve the remaining rooms or remote areas. Patients benefit from both faster image capture (it takes less time for each imaging exam) and hospitals achieve a digital distribution process that speeds delivery of radiology reports to referring physicians and a more efficient imaging workflow that can lead to increased revenues.

Forecasting↗

Using technology assessment as the picture archiving and communication system spreads outside radiology to the enterprise.

Picture archiving and communication systems (PACS) are being implemented within radiology departments, and many facilities are entering the next stage of PACS use by deploying PACS to departments outside of radiology and to other facilities located at a distance. Many PACS vendors and department administrators have based cost-justification analyses on the anticipated savings from expanding PACS to these areas. However, many of these cost-savings analyses can be highly suspect in their assumptions and findings. Technology assessment (TA) at the hospital/health system level is an organized, systematic approach to examining the efficacy of a technology in relation to the health system's mission and clinical needs. It can be an organized and unifying approach to aid in the distribution of limited capital resources. As extra-radiology PACS deployment is a costly endeavor, TA may be used to plan for PACS implementation throughout the enterprise. In many organizations, PACS is thought of as a radiology domain as its first uses were centered on this image-producing service. Now, as PACS technology spreads to other service areas, such as cardiology, dermatology, pathology, orthopedics, obstetrics, etc, the need to incorporate other viewpoints in a system-based PACS is necessary to avoid having independent PACS that may duplicate archives and may not communicate with each other. How to meet the diverse PACS needs of clinical services can be a challenging task; a TA program has been demonstrated to effectively handle the clinical needs, demands, and timeframes of PACS planning and support throughout hospitals and health systems. A hospital-based TA program can assist health care organizations to present PACS as a system-wide need and program rather than a radiology-based program gobbling up the capital budget. Submitting PACS to the TA review process can identify essential elements in planning and help avoid many of the pitfalls of PACS implementation and operations. Thorough cost and/or return on investment analyses, phasing decisions, workflow re-engineering, and outcomes assessment programs are a few of the issues that a TA program can address to help in the transition to a complete electronic image environment. The TA process includes clinician selection, evaluation criteria and their selection for technologies under review, a policy for review/authorization/denial, and measurement of expected outcomes.

Cost Savings↗

Concepts for the third generation of laboratory systems.

This paper briefly describes the history of laboratory systems and discusses some of the recent concepts. The third generation of laboratory systems, which appeared around 1990, encompasses most of the pre-analytical, analytical and post-analytical procedural steps of the laboratory workflow, thus eliminating much of the so-called "3 D tasks" (dull, dirty, dangerous). These automation systems enable humans to focus on work of higher value such as result validation or development of tests in emerging areas. The new development started in Japan in 1981 and reached the Western hemisphere around 1995. Currently there are between 800 and 900 installations world-wide that meet the above criteria. The majority of them automate hematology, whereas systems that automate more complex areas such as clinical chemistry, immunochemistry, coagulation and urinalysis, represent only about one third. More than 60% of the world-wide system base has been installed in Japan. Future growth in the West and high market saturation in Japan are likely to decrease this percentage during the next few years. The two key concepts of third generation systems are "consolidation" and "integration". The following definitions are suggested: * Consolidation: Combining different analytical technologies or strategies on one instrument or on one group of connected instruments. * Integration: Linking analytical instruments or groups of instruments with pre- and post-analytical devices. Examples for the technical realization of both concepts and practical aspects of how to apply them in an individual laboratory are given. Components, which are specifically new in the context of laboratory automation, are conveyor belts, stationary and floor-running robots, and software for process control. The most attractive options to be considered when automating a laboratory are primary tube sorting and the use of secondary samples to increase speed and to avoid sample carryover. Other applications include automatic centrifugation (esp. for hospital laboratories), decapping (esp. for clinical chemistry), automatic loading and unloading of analyzers (esp. for large laboratories), automatic rerun and reflex testing as well as computer-based sample retrieval, result validation, and interpretation. Specific recommendations for automation planning include the need to see and discuss working installations either during site visits or via video documentations, and to conduct computer simulation experiments on the basis of a "virtual laboratory" model.

Automation↗

Prototype database for telerehabilitation.

Telerehabilitation is a promising alternative health-care delivery system, but currently lacks broad-based empirical support for the efficacy and cost utility of its interventions. This article describes the development of a database at INTEGRIS Jim Thorpe Rehabilitation Center (IJTRC) that will link the delivery of telerehabilitation services, reimbursement, and outcomes evaluation. The database is a culmination of the combined efforts of administrators, clinicians, and information technology professionals. Feasibility of the project was first established from technical, economic, and organizational perspectives. The current workflow and documentation processes were analyzed and enhanced. This was followed by data modeling and design of the database architecture in terms of network, security, scalability, and system specification. A prototype was created in Microsoft Access with the final product planned in Structured Query Language (SQL) with a front-end in JAVA JSP. The initial results with the database have been encouraging in terms of increased efficacy and security, process streamlining, error reduction, and collection of comprehensive standardized data for statistical analysis of clinical and research outcomes.

Databases as Topic↗

Realigning clinical and economic incentives to support depression management within a medicaid population: the Colorado access experience.

The authors describe their experiences in developing an economically sustainable depression care management program within Colorado Access, a non-profit Medicaid health plan. They describe high rates of mental health issues, medical comorbidities, and psychosocial barriers to care within the plan's Medicaid population. They discuss how the company redirected resources to incorporate depression care management into an intensive care management program focused on high-cost members with multiple chronic medical conditions. This strategy allowed Colorado Access to cost effectively care manage a targeted group of high-cost Medicaid recipients across multiple primary care physician (PCP) practices without requiring changes in provider workflow.

Colorado↗

Exploring barriers and facilitators to the use of computerized clinical reminders.

OBJECTIVE: Evidence-based practices in preventive care and chronic disease management are inconsistently implemented. Computerized clinical reminders (CRs) can improve compliance with these practices in outpatient settings. However, since clinician adherence to CR recommendations is quite variable and declines over time, we conducted observations to determine barriers and facilitators to the effective use of CRs. DESIGN: We conducted an observational study of nurses and providers interacting with CRs in outpatient primary care clinics for two days in each of four geographically distributed Veterans Administration (VA) medical centers. MEASUREMENTS: Three observers recorded interactions of 35 nurses and 55 physicians and mid-level practitioners with the CRs, which function as part of an electronic medical record. Field notes were typed, coded in a spreadsheet, and then sorted into logical categories. We then integrated findings across observations into meaningful patterns and abstracted the data into themes, such as recurrent strategies. Several of these themes translated directly to barriers and facilitators to effective CR use. RESULTS: Optimally using the CR system for its intended purpose was impeded by (1) lack of coordination between nurses and providers; (2) using the reminders while not with the patient, impairing data acquisition and/or implementation of recommended actions; (3) workload; (4) lack of CR flexibility; and (5) poor interface usability. Facilitators included (1) limiting the number of reminders at a site; (2) strategic location of the computer workstations; (3) integration of reminders into workflow; and (4) the ability to document system problems and receive prompt administrator feedback. CONCLUSION: We identified barriers that might explain some of the variability in the use of CRs. Although these barriers may be difficult to overcome, some strategies may increase user acceptance and therefore the effectiveness of the CRs. These include explicitly assigning responsibility for each CR to nurses or providers, improving visibility of positive results from CRs in the electronic medical record, creating a feedback mechanism about CR use, and limiting the overall number of CRs.

Attitude of Health Personnel↗

[Speech recognition: impact on workflow and report availability].

With ongoing technical refinements speech recognition systems (SRS) are becoming an increasingly attractive alternative to traditional methods of preparing and transcribing medical reports. The two main components of any SRS are the acoustic model and the language model. Features of modern SRS with continuous speech recognition are macros with individually definable texts and report templates as well as the option to navigate in a text or to control SRS or RIS functions by speech recognition. The best benefit from SRS can be obtained if it is integrated into a RIS/RIS-PACS installation. Report availability and time efficiency of the reporting process (related to recognition rate, time expenditure for editing and correcting a report) are the principal determinants of the clinical performance of any SRS. For practical purposes the recognition rate is estimated by the error rate (unit "word"). Error rates range from 4 to 28%. Roughly 20% of them are errors in the vocabulary which may result in clinically relevant misinterpretation. It is thus mandatory to thoroughly correct any transcribed text as well as to continuously train and adapt the SRS vocabulary. The implementation of SRS dramatically improves report availability. This is most pronounced for CT and CR. However, the individual time expenditure for (SRS-based) reporting increased by 20-25% (CR) and according to literature data there is an increase by 30% for CT and MRI. The extent to which the transcription staff profits from SRS depends largely on its qualification. Online dictation implies a workload shift from the transcription staff to the reporting radiologist.

Database Management Systems↗

New developments in digital pathology: from telepathology to virtual pathology laboratory.

AIMS: To analyse the present status and future development of computerized diagnostic pathology in terms of work-flow integrative telepathology and virtual laboratory. PRESENT STATUS: Telepathology has left its childhood. The technical development of telepathology is mature, in contrast to that of virtual pathology. Two kinds of virtual pathology laboratories are emerging: a) those with distributed pathologists and distributed (>=1) laboratories associated to individual biopsy stations/surgical theatres, and b) distributed pathologists working in a centralized laboratory. Both are under technical development. Telepathology can be used for e-learning and e-training in pathology, as exemplarily demonstrated on Digital Lung Pathology Pathology (www.pathology-online.org). FEATURES OF VIRTUAL PATHOLOGY: A virtual pathology institution (mode a) accepts a complete case with the patient's history, clinical findings, and (pre-selected) images for first diagnosis. The diagnostic responsibility is that of a conventional institution. The internet serves as platform for information transfer, and an open server such as the iPATH (http://telepath.patho.unibas.ch) for coordination and performance of the diagnostic procedure. The size of images has to be limited, and usual different magnifications have to be used. A group of pathologists is "on duty", or selects one member for a predefined duty period. The diagnostic statement of the pathologist(s) on duty is retransmitted to the sender with full responsibility. First experiences of a virtual pathology institution group working with the iPATH server (Dr. L. Banach, Dr. G. Haroske, Dr. I. Hurwitz, Dr. K. Kayser, Dr. K.D. Kunze, Dr. M. Oberholzer,) working with a small hospital of the Salomon islands are promising. A centralized virtual pathology institution (mode b) depends upon the digitalisation of a complete slide, and the transfer of large sized images to different pathologists working in one institution. The technical performance of complete slide digitalisation is still under development and does not completely fulfil the requirements of a conventional pathology institution at present. VIRTUAL PATHOLOGY AND E-LEARNING: At present, e-learning systems are "stand-alone" solutions distributed on CD or via internet. A characteristic example is the Digital Lung Pathology CD (www.pathology-online.org), which includes about 60 different rare and common lung diseases and internet access to scientific library systems (PubMed), distant measurement servers (EuroQuant), or electronic journals (Elec J Pathol Histol). A new and complete data base based upon this CD will combine e-learning and e-teaching with the actual workflow in a virtual pathology institution (mode a). The technological problems are solved and do not depend upon technical constraints such as slide scanning systems. PERSPECTIVES: Telepathology serves as promotor for a new landscape in diagnostic pathology, the so-called virtual pathology institution. Industrial and scientific efforts will probably allow an implementation of this technique within the next two years.

Artificial Intelligence↗

Comparative genomics reveals genotype-phenotype concordance and cryptic resistomes in clinical Pseudomonas aeruginosa.

BACKGROUND: Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen because of its adaptability. It shows rapid evolution of multidrug resistance (MDR). Phenotype-based diagnostics often fail to detect silent resistance determinants and early adaptive changes. This study integrates phenotypic profiling with whole-genome sequencing (WGS) to examine resistance architecture in clinical isolates from eastern India. METHODS: From 1295 culture-positive P. aeruginosa specimens collected at a tertiary care hospital in eastern India. Using predefined criteria, representative MDR and non-MDR isolates were selected, including distinct resistance phenotypes, specimen-source diversity, and hospital and community-acquired settings; multivariate analysis of resistance profiles illustrated phenotypic diversity. Antimicrobial susceptibility assessed using VITEK-2 and Kirby-Bauer disk diffusion, species identity confirmed by 16 S rRNA sequencing, and genomic analysis processed through a reference-guided workflow. Antimicrobial Resistance (AMR) determinants were identified through CARD, and phylogenetic tree constructed from 454 publicly available P. aeruginosa genomes. RESULTS: MDR exhibited greater sequence divergence relative to PA14 (~ 69,000 variants) than the non-MDR isolate (~ 58,700 variants), with > 92% coverage at ≥ 30X depth. Strong genotype-phenotype concordance observed in MDR isolates across five antibiotic classes, associated with β-lactamase variants (PDC-67, OXA-396) and regulatory adaptations (ArmR, cprS). The non-MDR isolate harboured gyrA (T83I) resistance-associated mutations, PDC-1, and OXA-847 without phenotypic expression, indicating silent resistome. Phylogenetically, MDR isolates clustered tightly within the phylogeny, while the non-MDR isolate formed a distinct lineage. CONCLUSION: Observed genomic differences align with adaptation under antimicrobial selection, though confirmation requires larger collections. The non-MDR isolate retained a silent resistome. Findings highlight limitations of phenotype-only diagnostics, support genomic data integration, and emphasize transcriptomics for hidden resistance expression and regulatory dynamics.

Pseudomonas aeruginosa↗

Report on a new type of trauma full-body digital X-ray machine.

The purpose of this study was to evaluate the diagnostic equivalence, radiation dose, clinical usefulness and radiographic aspects of a low-dose, full-body digital X-ray machine in a busy trauma unit. A digital trauma X-ray machine known as "LODOX" was compared with conventional radiography between June 1999 and November 2001 in the Groote Schuur Hospital Trauma Unit, Cape Town. Digital images of a variety of body regions commonly imaged in trauma were compared for diagnostic image quality in a number of categories with equivalent conventional radiographs. A seven-point equivalence scoring system ranging from much inferior (-3) through equivalent (0) to much superior (+3) was used in each category. Radiation dose was recorded and compared with that in conventional measurements. Turnaround times of patients undergoing digital and conventional X-rays were evaluated. Clinical and radiographic issues were assessed by staff feedback. The digital images when compared with conventional film had an overall mean equivalence score of -0.429, with a standard deviation (SD) of 0.77. The best digital performance was in the mediastinum (mean 0.346, SD 0.49) and the weakest was for bony detail (mean -0.654, SD 0.81). Relative digital radiation dose compared to conventional varied from 72% (chest) to 2% (pelvis), with a simple average of 6%. Radiographic points included full-body imaging capability and differing positioning, penetration, workflow and practicality considerations. The digital images required overall patient times of 5-6 min, compared with 8-48 min for conventional X-rays. New installations are under way, and computed tomography and angiography applications are being explored. FDA approval is awaited. Projected cost is similar to that of flat-panel digital units. This digital unit was felt to be diagnostically substantially equivalent to conventional radiographs, with low-dose full-body imaging, improved workflow, digital technology and long-term cost benefits as potentially favourable contributions to trauma imaging.

Journal Article↗

Fedflow: cloud orchestration for federated learning with the FeatureCloud platform.

MOTIVATION: Federated learning (FL) enables collaborative model training on geographically distributed genomic and clinical datasets while complying with data privacy laws and regulatory constraints. FeatureCloud is an existing platform for FL that provides an accessible web-based interface and a large repository of implemented methods. However, due to its graphical interface, FeatureCloud requires manual interaction of all participants, limiting automation, iteration, and reproducibility. RESULTS: We introduce fedflow, a Python-based command-line tool for headless orchestration of FL tasks with FeatureCloud. This tool uses distributed computing resources such as virtual machines or cloud instances to automate such workflows. This allows for scalable federated computing either in local simulations or deployed in a trusted environment. Further, we demonstrate how fedflow can be used to integrate FeatureCloud in reproducible Snakemake workflows. For this, we reanalyse a metagenomic dataset with two federated algorithms and compare the results to the centralized approach with pooled data. Overall, fedflow enables automation of multi-client FL tasks, facilitates embedding of FeatureCloud in standard bioinformatics pipelines and thereby helps increase reproducibility. AVAILABILITY: Fedflow is open-source and available at https://github.com/W-L/fedflow.

Journal Article↗

Requirements of a Web-based experiment management system.

Recent advances in tools for scientific data acquisition, visualization, and analysis have lead to growing information management problems for medical research laboratories. An exponential increase in the volume of data, combined with a proliferation of heterogeneous formats and autonomous systems, has driven the need for flexible and powerful Experiment Management Systems (EMS). This paper provides a detailed analysis of the informatics requirements of an EMS, and proposes a new type of middleware called an EMS-Building Environment (EMSBE), which enables the rapid development of web-based systems for managing laboratory data and workflow. We describe the Web-Interfacing Respository Manager (WIRM), an open-source application server for building customizable experiment management systems. WIRM is being used to manage several ongoing experiments, including a natural language processor of radiological findings, and an interdisciplinary project for studying brain function.

Clinical Laboratory Information Systems↗

A comprehensive system for washing, pre-disinfecting and sterilizing of dental and surgical instruments.

PURPOSE: The purpose of this study was to test and describe in detail a newly developed comprehensive system for washing, pre-disinfecting and sterilizing of dental and surgical instruments. MATERIALS AND METHODS: The system consists of a combined washing and steam-operated pre-disinfection apparatus and newly developed trays, in which assorted instruments can be washed and disinfected without handling individual instruments. The system was subjected to a large number of tests. RESULTS: The cleaning efficiency of blood-soiled instruments was found to be excellent. The disinfection of dental instruments contaminated with bacteria, yeast and non-enveloped virus showed decimal reduction factors that were equivalent to sterilization. The trays had optimal sealing qualities. Their steam permeability was perfect even after prolonged use in N-, S- and B-type autoclaves. However, long-term tests in a clinic revealed shortcomings with regard to insufficient drying of instruments in the wash/disinfection apparatus. Furthermore, the mechanical stability of the polysulfonate tray covers needs to be improved. Occasionally, after extended use, the fit of the filters in metal trays became inadequate, in particular when trays were sterilized for 18 min at 134 degrees C for a prolonged period of time. CONCLUSION: In spite of the above-mentioned shortcomings, the system shows great labor and cost-saving potential, allowing a new approach to instrument recirculation and workflow in the dental office.

Dental Instruments↗

Efficient prime editing in vivo and in vitro using lipid nanoparticles.

Prime editing is a versatile clinical genome editing method that enables precise substitutions, small insertions and deletions at specified locations in the genomes of living systems including human cells. Although non-viral lipid nanoparticle (LNP) delivery of RNA in vivo has become a preferred method for gene editing in animals and patients, its application to complex, three-component prime editing systems has yielded low editing efficiencies. Here we developed a systematic prime editing LNP (PE-LNP) optimization platform that addresses key bottlenecks in cargo design that limit editing efficiency. This generalizable workflow yielded PE-LNPs that can achieve 49% average in vivo prime editing in the bulk mouse liver with a single dose of 2 mg kg-1. We applied our workflow to the correction of PAH R408W, a cause of phenylketonuria, in a mouse model and achieved prime editing efficiencies and serum phenylalanine levels anticipated to be curative. We also show that PE-LNPs minimize off-target editing compared with DNA delivery methods, induce only transient elevation of liver enzymes and can be dosed repeatedly to improve editing efficiencies. These PE-LNP systems provide an attractive alternative to viral delivery by offering transient expression that minimizes off-target editing, no observed long-term toxicity and high levels of non-viral in vivo liver prime editing.

Animals↗

Managing the operation of open distributed laboratory information systems.

This paper examines how the concepts and designs of workflow management systems and distributed systems management can be integrated and customized to manage open laboratory computing services. The paper outlines the objectives of managing laboratory computing services and identifies techniques and designs which facilitate this management. The paper also outlines the implementation of an open laboratory service management system.

Clinical Laboratory Information Systems↗

Intraoperative high-field-strength MR imaging: implementation and experience in 200 patients.

PURPOSE: To review the initial clinical experience with intraoperative high-field-strength magnetic resonance (MR) imaging of brain lesions in 200 patients. MATERIALS AND METHODS: Two hundred patients (mean age, 46.1 years; range, 7-84 years), most of whom had glioma or pituitary adenoma, were examined with a 1.5-T MR imager equipped with a rotating operating table and located in a radiofrequency-shielded operating theater. A navigation microscope placed inside the 0.5-mT zone and used in combination with a ceiling-mounted navigation system enabled integrated microscope-based neuronavigation. The extent of resection depicted at intraoperative imaging, the surgical consequences of intraoperative imaging, and the clinical practicability of the operating room setup were analyzed. RESULTS: Seventy-seven resections with a transsphenoidal approach, 100 craniotomies, and 23 burr-hole procedures were performed. In 55 (27.5%) of 200 patients, intraoperative MR imaging had immediate surgical consequences (eg, extension of resection in 39% of patients with pituitary adenoma or glioma). In 108 patients the navigation system was used, and for 37 of those patients, functional imaging data were integrated into the navigation system. There was nearly no difference in quality between pre- and intraoperative images. Intraoperative workflow with intraoperative patient transport for imaging was straightforward, and imaging in most cases began less than 2 minutes after sterile covering of the surgical site. No complications resulted from high-field-strength MR imaging. CONCLUSION: The high-field-strength MR imager was successfully adapted for intraoperative use with the integrated neuronavigation system. Intraoperative MR imaging provided valuable information that allowed intraoperative modification of the surgical strategy.

Adenoma↗