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At least 91 records · Page 5Linked to original sources
PubMed2002

A simple method of capturing PACS and other radiographic images for digital teaching files or other image repositories.

OBJECTIVE: We sought to develop an easy-to-use method of capturing and storing radiographic images. CONCLUSION: The method that we developed can capture any digital image-including an image from a picture archiving and communication system (PACS)-using widely available, inexpensive software. Our method is easy to learn, simple to use, and inexpensive to implement. It is adaptable in a wide range of networking environments and can capture and store images rapidly for a variety of uses. It can be used without interfering with clinical workflow at the PACS workstation.

Humans↗
PubMed2026

A pan-cancer multi-omic SuperLearner for regulated cell death survival topologies.

INTRODUCTION: Regulated cell death (RCD) pathways influence tumor progression and immune modulation. We previously constructed a signature database mapping 25 RCD forms across seven multi-omic layers and 33 tumor types (CancerRCDShiny). Despite their ability to identify risk populations, translating these signatures into personalized clinical workflows requires a shift from cohort stratification to individualized risk mapping by modeling patient risk (survival topologies) to capture the non-linear dynamics of RCD signatures. METHODS: We engineered a pan-cancer multi-omic SuperLearner pipeline across 33 cancer types. Phase I performed zero-leakage harmonization and groupwise imputation to prevent cross-cohort amalgamation. Phase II deployed Elastic Net-regularized Cox regression as a CANARY diagnostic to map proportional hazards failures. Strata with a 35% missingness barrier entered Phase III, deploying a Quadripartite ensemble: Random Survival Forests, XGBoost, Survival-Boruta, and Multi-Task Logistic Regression, fused within an Elastic Net Multi-View Meta-Learner (MVL), with post-hoc TreeSHAP and LIME interpretability. RESULTS: The CANARY diagnostic demonstrated the structural invalidity of pan-cancer geometric proportional hazards. Across 96 admissible strata, Phase III executed algorithmic displacement: continuous multi-omic topologies suppressed static genomic mutations and copy number variations (85.7% vs. 0.0% apex retention). The MVL stabilized predictions against extreme variance; LIME surrogate validations (R 2&#x202f;<&#x202f;0.10) confirmed the systematic failure of linear interpretative proxies. N-dimensional TreeSHAP interaction mapping exposed synergistic and antagonistic rescue trajectories defining individualized Survival Topologies, which were invisible to additive models. The architecture was deployed as CancerRCDPredictor, a digital molecular tumor board with integrated LLM capabilities. The MVL SuperLearner achieved a median C-index of 0.749 (IQR: 0.722-0.836) across 96 modelable strata, with 95% bootstrap confidence intervals confirming precision (median width: 0.052) and permutation significance in 93.8% of strata (p&#x202f;<&#x202f;0.001). External CPTAC validation across ten cancer types demonstrated significant cross-cohort generalizability in clear cell renal carcinoma (KIRC; C-index 0.675, p&#x202f;=&#x202f;0.017) and modest performance across the remaining adequately powered cancers (median 0.582), underscoring the need for larger multi-institutional validation cohorts. CONCLUSION: This pan-cancer multi-omic SuperLearner bypasses linear topological failures, advancing beyond generalized stratification to establish a deterministically mapped architecture for predicting RCD-related survival topologies. Through the CancerRCDPredictor interface, multi-omic insights translate into individualized survival topology exploration, providing a foundation for future precision oncology validation.

SuperLearner↗
PubMed1999

Building a hospital information system: design considerations based on results from a Europe-wide vendor selection process.

A number of research and development projects in the U.S. and in Europe have shown that novel technologies can open significant perspectives for hospital information systems (HIS). The selection of software products for a HIS, however, is still nontrivial. Generalist vendors promise a broad scope of functionality and integration, while specialist vendors promise elaborated and highly adapted functionality. In 1997, the university hospital Marburg, a 1,250 bed teaching hospital, decided to introduce a new large-scale HIS. The objectives of the project included support of clinical workflows, cost effectiveness and a maximum standard of medical care. In 1997/98 a formal Europe-wide vendor contest was performed. 15 vendors, including several from the U.S., participated. Systems were checked against the hospital's objectives, functionality, and technological criteria. One of the results of both technology and market assessment was the identification of fundamental technological and design aspects strongly influencing functionality and flexibility.

Commerce↗
PubMed2000

Executing clinical guidelines: temporal issues.

In our previous work, we proposed a domain-independent language to describe clinical guidelines and a graphical tool to acquire them. In this paper, we describe an approach to execute clinical guidelines. We propose a flexible execution engine that can be used in clinical decision support applications, and also for medical education, or for integrating guidelines into the clinical workflow. We also focus our attention on temporal issues in the execution of guidelines, including the treatment of composite, concurrent and/or cyclic actions.

Databases as Topic↗
PubMed2001

Knowledge integration: insight through the E-portal.

Data become information when they can be summarized and organized into logical patterns; information becomes knowledge when it can be manipulated for actionable decision making; knowledge becomes insight when contextually relevant and temporarily appropriate. This article describes how information technology can now be used to provide clinicians with access to both insight and information that is context- and event-sensitive. Collaboration between the American College of Physicians, medical knowledge experts, Oregon Health Sciences University (OHSU), and shared medical systems for framework and infrastructure combine to create the ideal environment of complementary and synergistic competencies. This article describes the research that is under way at OHSU to determine how to deploy medical knowledge derived from these sources and integrate it into the clinical workflow; it also examines a vision of how medical knowledge can be integrated in the future.

Education, Medical, Continuing↗
PubMed2001

Assessing physician attitudes regarding use of an outpatient EMR: a longitudinal, multi-practice study.

A pre- and post-implementation assessment of physician attitudes was undertaken as part of the evaluation of the pilot implementations of an outpatient EMR in 6 practices of a large academic health system. Our results show that these physicians are ready adopters of computer technology when it demonstrates value-added for the effort required to use it. These physicians utilize email, the Internet, remote access to computer systems, and personal productivity software because they serve a valuable purpose in their academic and clinical work and in their personal lives. Much more critical to the acceptance of an EMR by physicians is its ability to facilitate efficient clinical workflows without negative effects on the valued relationships physicians have with their patients--those that are based on rapport, quality of care, and privacy.

Ambulatory Care↗
PubMed2003

IMIA Working Conference on Health Information Systems 2002 in Heidelberg--practical HIS experiences.

OBJECTIVES: To give an overview of the scope of commercial Health Information Systems installed in academic centers. METHODS: Six systems presented during the working conference on Health Information Systems of IMIA, the International Medical Informatics Association, are described in a special issue of Methods of Information in Medicine. These contributions shortly summarize the systems' installed base, their functionality, their architecture, as well as site-specific deployment experiences. Specific highlights have been elaborated. CONCLUSION: The role of industrial solutions for Health Information Systems is of increasing importance. Companies have invested in clinical functionality, and significant progress in supporting clinical workflow has been made. Interfaces to connect subsystems are commonly used. Real interoperability, however, is still a challenge. Socio-technical issues are of central importance, and systems still need improved flexibility and adaptability to work practice in health care.

Academic Medical Centers↗
PubMed2004

North Karelia regional chain of care: Finnish experiences.

Information--and communication technology is one of the most important cornerstones in more and more data and knowledge intensive health care sector. However these factors don't create financial gains and productivity benefits spontaneously. They need organisational and social innovations and new business models. The growth of productivity is connected to the process and organisational innovations and not to the number of computers and the growth of using ICT. One of the problems prohibiting health care profession to move to real e-work environment is the lack of the reliable measures and on these measures based performance measurement and strategic management. Health care can be improved by utilizing ICT and tools like performance measuring are key weapons in the arsenal of new e-work environment and measuring based new strategic management. Neither public sector nor not-for-profit hospitals look for financial rewards as their ultimate proof of success. Instead, they seek to achieve ambitious missions aimed at improving the health standards and wellbeing of the citizens. ICT- based new way of managing in the public sector is just beginning to gain a critical level of digitalization and will most likely come to its own in the coming years. Therefore, it is essential to research on how the health care sector can be moved towards new regional models and clinical workflow using intelligent standard based strategic management and performance measurement. If the breakthrough of the eight-hour working day and shortening of working time are evaluated afterwards, it can be stated that they have made the society more anthropocentric and humane. During one century the annual working time has shortened from 3000 hours to 1700 hours in the European Union countries. These foundations of a more humane society--eight-hour working day and shortening of regular working time--are however disappearing in the post-industrialized information society. There are various grounds for the eight-hour working day. These grounds relate to quality of life, occupational safety and health and productivity of work. It is worth asking if the nature of work has changed in a way that the truths of an industrialized society do not hold true or has the development of working time in health care sector become uncontrolled in some new way?

Computer Communication Networks↗
PubMed2005

Grid requirements for the integration of biomedical information resources for health applications.

OBJECTIVES: The goal of this paper is to identify how Grid technology can be applied for the development and deployment of integration systems, bringing together distributed and heterogeneous biomedical information sources for medical applications. METHODS: The integration of new genetic and medical knowledge in clinical workflows requires the development of new paradigms for information management in which the ability to access and relate disparate data sources is essential. We adopt a requirements perspective based on the user needs we have identified in the development of the INFOGENMED system to assess current Grid technology against those requirements. RESULTS: The gap between Grid features and distributed biomedical information integration needs is characterized. Results from prospective studies are also reported. CONCLUSIONS: Grid infrastructures offer advanced features for the deployment of collaborative computational environments across virtual organizations. New Grid developments are in line with the problem of multiple site information integration. From the INFOGENMED point of view, Grid infrastructures need to evolve to implement structured data access services and semantic content description and discovery.

Computational Biology↗
PubMedDate not supplied

Reinventing Veterans Health Administration: focus on primary care.

Can we improve access in primary care without compromising the quality of care? The purpose of this article is to demonstrate how timely access to primary care can be achieved without compromising the quality of the care being delivered. The Veterans Health Administration (VHA) is an integrated healthcare system that has implemented change to improve primary care access to the veterans it serves, while not only maintaining but also actually improving the quality of care. Many healthcare executives are struggling with achieving desirable access to care and continuity of care. To confront this problem, many large and small practices have initiated an approach known as advanced clinic access, open access, or same-day scheduling, introduced by the Institute for Healthcare Improvement (IHI). This approach has increasingly been used to reduce waits and delays in primary care without adding resources. To measure quality of care, specific performance measures were developed to quantify the effectiveness of primary care in VHA. Although it was initially viewed with concern and suspicion and was seen as a symptom of unnecessary micromanagement, healthcare team members were encouraged to use performance feedback as an opportunity for systems improvement as well as self-assessment and performance improvement for the team. All quality data are posted quarterly on VHA's internal web site, providing visible accountability at all levels of the organization. Clinical workflow redesign leads to reduced wait times without compromising quality of care. These large system improvements are applicable to large and small organizations looking to tackle change through the use of a collaborative model.

Delivery of Health Care↗
PubMed2006

Health-e-child: an integrated biomedical platform for grid-based paediatric applications.

There is a compelling demand for the integration and exploitation of heterogeneous biomedical information for improved clinical practice, medical research, and personalised healthcare across the EU. The Health-e-Child project aims at developing an integrated healthcare platform for European Paediatrics, providing seamless integration of traditional and emerging sources of biomedical information. The long-term goal of the project is to provide uninhibited access to universal biomedical knowledge repositories for personalised and preventive healthcare, large-scale information-based biomedical research and training, and informed policy making. The project focus will be on individualized disease prevention, screening, early diagnosis, therapy and follow-up of paediatric heart diseases, inflammatory diseases, and brain tumours. The project will build a Grid-enabled European network of leading clinical centres that will share and annotate biomedical data, validate systems clinically, and diffuse clinical excellence across Europe by setting up new technologies, clinical workflows, and standards. This paper outlines the design approach being adopted in Health-e-Child to enable the delivery of an integrated biomedical information platform.

Databases as Topic↗
PubMed2002

Qualitative detection of hepatitis C virus RNA: comparison of analytical sensitivity, clinical performance, and workflow of the Cobas Amplicor HCV test version 2.0 and the HCV RNA transcription-mediated amplification qualitative assay.

The qualitative Cobas Amplicor hepatitis C virus (HCV) version 2.0 assay (HCV PCR) and the Bayer Reference Testing Laboratory HCV RNA transcription-mediated amplification assay (HCV TMA) were compared for analytical sensitivity, clinical performance, and workflow. Limits of detection were determined by testing dilutions of the World Health Organization HCV standard in replicates of 15 at concentrations of from 1.0 to 70 IU/ml. The limit of detection of the HCV PCR assay was calculated to be 45 IU/ml on initial testing and 32 IU/ml after resolution of gray zone results. The calculated limit of detection for HCV TMA was 6 IU/ml. To compare clinical performance, 300 specimens, grouped as follows, were evaluated: 112 samples that were indeterminate in an anti-HCV enzyme immunoassay (EIA) and for which HCV RNA was not detected by HCV PCR; 79 samples that were EIA positive and for which HCV RNA was not detected by HCV PCR; and 105 samples that were both EIA and HCV PCR positive. For these groups, interassay concordance ranged from 96.2% to 100%. In addition, three HCV PCR gray zone specimens and one neonatal specimen were also evaluated. A 64-sample run (full run, 91 specimens) required 5 h for testing by HCV TMA, whereas almost 8 h were required to test a full run of 22 specimens by HCV PCR. HCV TMA demonstrated excellent concordance with HCV PCR when clinical samples were tested. However, HCV TMA was more sensitive than HCV PCR, required less time for test result completion, and had a greater throughput.

Hepacivirus↗
PubMed2005

Evaluation of a 16-MDCT scanner in an emergency department: initial clinical experience and workflow analysis.

OBJECTIVE: MDCT is especially suited for emergency purposes because it allows rapid high-resolution scans of large areas, fast high-quality reformatting in every orientation, and 3D illustration of the data set. In a prospective study, we evaluated the reliability and workflow of a dedicated emergency department 16-MDCT scanner in the management of patients presenting to the emergency department. SUBJECTS AND METHODS: The use of a 16-MDCT scanner for 503 patients in the emergency department of a university clinic was evaluated. For reasons of workflow analysis, seven precise time intervals were recorded during the emergency examinations. A new setting for repositioning multiple-trauma patients after imaging of the head and neck from the head-first position to the feet-first position was introduced. RESULTS: Six (1.2%) of the 503 patients were excluded because of technical malfunction or patient noncompliance. Image quality in the remaining 497 cases, including CT angiography and CT of multiple-trauma patients, was outstanding. Positioning of the patients took from 3 to 13 min depending on the body region examined, representing 33-67% of the mean room time, which ranged from 8 to 21 min. In multiple-trauma patients, the initial positioning took a mean of 6 min and repositioning took 8 min, representing 19% and 26% of total room time, respectively. CONCLUSION: The use of a dedicated 16-MDCT scanner in the emergency department resulted in short examination times even for examinations of multiple body regions under emergency conditions. The introduced setting-repositioning of multiple-trauma patients-allowed high image quality to be maintained. The trade-off in multiple-trauma patients was prolonged room time because of patient repositioning.

Efficiency, Organizational↗
PubMed2024

Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data.

UNLABELLED: Tumor type guides clinical treatment decisions in cancer, but histology-based diagnosis remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor-type classifiers trained on genomic features have been explored, but the most accurate methods are not clinically feasible, relying on features derived from whole-genome sequencing (WGS), or predicting across limited cancer types. We use genomic features from a data set of 39,787 solid tumors sequenced using a clinically targeted cancer gene panel to develop Genome-Derived-Diagnosis Ensemble (GDD-ENS): a hyperparameter ensemble for classifying tumor type using deep neural networks. GDD-ENS achieves 93% accuracy for high-confidence predictions across 38 cancer types, rivaling the performance of WGS-based methods. GDD-ENS can also guide diagnoses of rare type and cancers of unknown primary and incorporate patient-specific clinical information for improved predictions. Overall, integrating GDD-ENS into prospective clinical sequencing workflows could provide clinically relevant tumor-type predictions to guide treatment decisions in real time. SIGNIFICANCE: We describe a highly accurate tumor-type prediction model, designed specifically for clinical implementation. Our model relies only on widely used cancer gene panel sequencing data, predicts across 38 distinct cancer types, and supports integration of patient-specific nongenomic information for enhanced decision support in challenging diagnostic situations. See related commentary by Garg, p. 906. This article is featured in Selected Articles from This Issue, p. 897.

Humans↗
PubMed1993

Abbott AxSYM random and continuous access immunoassay system for improved workflow in the clinical laboratory.

We describe a new clinical laboratory instrument, the Abbott AxSYM, which provides random- and continuous-access testing for immunoassays, 20 onboard reagents, primary tube sampling, and a throughput of 80 to 120 tests per hour. The AxSYM incorporates three separate analytical technologies for processing immunoassays: microparticle enzyme immunoassay, fluorescence polarization immunoassay, and a novel technology known as ion-capture immunoassay. The system incorporates both common and technology-specific subsystems controlled by a real-time software scheduling processor. Tests can be processed in one- or two-step sandwich or competitive formats, with variable pipetting steps, incubation periods, optical read formats, and wash sequences. Menu capabilities include tests for hepatitis, retrovirus, tumor markers, fertility markers, thyroid functions, and therapeutic drugs. The time to first result is approximately 15-25 min for most routine assays and < or = 15 min for stat assays (i.e., creatine kinase MB isoenzyme, human chorionic gonadotropin beta subunit, and therapeutic drugs). AxSYM assay performance for 23 assays was comparable with that of the Abbott IMx and TDx analyzers; specimen correlation data had correlation coefficients ranging from 0.97 to 0.99 and slopes ranging from 0.99 to 1.10. Within-run imprecision (CV) was 1.5% to 11.4%, with most assays (19 of 23) demonstrating CVs < or = 8.0%.

Autoanalysis↗
PubMed1997

Clinical care management and workflow by episodes.

This paper describes the implementation of clinically defined episodes of care and the introduction of an episode-based summary list of patient problems across Mayo Clinic Rochester in 1996 and 1997. Although Mayo's traditional paper-based system has always relied on a type of 'episode of care' (called the "registration") for patient and history management, a new, more clinically relevant definition of episode of care was put into practice in November 1996. This was done to improve care management and operational processes and to provide a basic construct for the electronic medical record. Also since November 1996, a computer-generated summary list of patient problems, the "Master Sheet Summary Report," organized by episode, has been placed in all patient histories. In the third quarter of 1997, the ability to view the episode-based problem summary online was made available to the 3000+ EMR-capable workstations deployed across the Mayo Rochester campus. In addition, the clinically oriented problem summarization process produces an improved basic "package" of clinical information expected to lead to improved analytic decision support, outcomes analysis and epidemiological research.

Episode of Care↗
PubMed2004

Bridging the guideline implementation gap: a systematic, document-centered approach to guideline implementation.

OBJECTIVE: A gap exists between the information contained in published clinical practice guidelines and the knowledge and information that are necessary to implement them. This work describes a process to systematize and make explicit the translation of document-based knowledge into workflow-integrated clinical decision support systems. DESIGN: This approach uses the Guideline Elements Model (GEM) to represent the guideline knowledge. Implementation requires a number of steps to translate the knowledge contained in guideline text into a computable format and to integrate the information into clinical workflow. The steps include: (1) selection of a guideline and specific recommendations for implementation, (2) markup of the guideline text, (3) atomization, (4) deabstraction and (5) disambiguation of recommendation concepts, (6) verification of rule set completeness, (7) addition of explanations, (8) building executable statements, (9) specification of origins of decision variables and insertions of recommended actions, (10) definition of action types and selection of associated beneficial services, (11) choice of interface components, and (12) creation of requirement specification. RESULTS: The authors illustrate these component processes using examples drawn from recent experience translating recommendations from the National Heart, Lung, and Blood Institute's guideline on management of chronic asthma into a workflow-integrated decision support system that operates within the Logician electronic health record system. CONCLUSION: Using the guideline document as a knowledge source promotes authentic translation of domain knowledge and reduces the overall complexity of the implementation task. From this framework, we believe that a better understanding of activities involved in guideline implementation will emerge.

Asthma↗