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At least 613 records · Page 34Linked to original sources

Guideline validation in multiple trauma care through business process modeling.

Clinical guidelines can improve the quality of care in multiple trauma. In our Department of Trauma Surgery a specific guideline is available paper-based as a set of flowcharts. This format is appropriate for the use by experienced physicians but insufficient for electronic support of learning, workflow and process optimization. A formal and logically consistent version represented with a standardized meta-model is necessary for automatic processing. In our project we transferred the paper-based into an electronic format and analyzed the structure with respect to formal errors. Several errors were detected in 7 error categories. The errors were corrected to reach a formal and logically consistent process model. In a second step the clinical content of the guideline was revised interactively using a process modeling tool. Our study reveals that guideline development should be assisted by process modeling tools, which check the content in comparison to a meta-model. The meta-model itself could support the domain experts in formulating their knowledge systematically. To assure sustainability of guideline development a representation independent of specific applications or specific provider is necessary. Then clinical guidelines could be used for training, process optimization and workflow management additionally.

Germany↗

Lean Management and Six-Sigma yield big gains in hospital's immediate response laboratory. Quality improvement techniques save more than $400,000.

DSI Laboratories has used Lean and Six-Sigma methodologies to systematically eliminate waste and reduce variation in its hospital clinical laboratory. The net result was a savings of more than $400,000 in the first year. After mapping its process, the laboratory found that phlebotomists were submitting samples in large batches, which created an early-morning flood of specimens. Switching to single-piece workflow and distributing the workload more evenly allowed DSI to cover the same number of patients with two to three phlebotomists instead of 12. By establishing a more efficient workflow process within the laboratory, a single technologist could quickly move between stations and perform those tests that made up 80% of the work volume. New inventory management techniques reduced both excess inventory and the risk of shortages. Cost savings for the first year were: Reduced overtime spending by 60% ($78,000), Reassigned six phlebotomists for an annual savings of $160,000, 4.5 fewer technologist positions for a savings of $250,000.

Cost Savings↗

A power information user (PIU) model to promote information integration in Tennessee's public health community.

Observation and immersion in the user community are critical factors in designing and implementing informatics solutions; such practices ensure relevant interventions and promote user acceptance. Libraries can adapt these strategies to developing instruction and outreach. While needs assessment is typically a core facet of library instruction, sustained, iterative assessment underlying the development of user-centered instruction is key to integrating resource use into the workflow. This paper describes the Eskind Biomedical Library's (EBL's) recent work with the Tennessee public health community to articulate a training model centered around developing power information users (PIUs). PIUs are community-based individuals with an advanced understanding of information seeking and resource use and are committed to championing information integration. As model development was informed by observation of PIU workflow and information needs, it also allowed for informal testing of the applicability of assessment via domain immersion in library outreach. Though the number of PIUs involved in the project was small, evaluation indicated that the model was useful for promoting information use in PIU workgroups and that the concept of domain immersion was relevant to library-related projects. Moreover, EBL continues to employ principles of domain understanding inherent in the PIU model to develop further interventions for the public health community and library users.

Access to Information↗

VSQual: a visual system to assist DNA sequencing quality control.

A lack of pliant software tools that support small- to medium-scale DNA sequencing efforts is a major hindrance for recording and using laboratory workflow information to monitor the overall quality of data production. Here we describe VSQual, a set of Perl programs intended to provide simple and powerful tools to check several quality features of the sequencing data generated by automated DNA sequencing machines. The core program of VSQual is a flexible Perl-based pipeline, designed to be accessible and useful for both programmers and non-programmers. This pipeline directs the processing steps and can be easily customized for laboratory needs. Basically, the raw DNA sequencing trace files are processed by Phred and Cross_match, then the outputs are parsed, reformatted into Web-based graphical reports, and added to a Web site structure. The result is a set of real time sequencing reports easily accessible and understood by common laboratory people. These reports facilitate the monitoring of DNA sequencing as well as the management of laboratory workflow, significantly reducing operational costs and ensuring high quality and scientifically reliable results.

Database Management Systems↗

Contrast-agent detection and quantification.

The Cadence contrast pulse sequencing (CPS) technology offers improved clinical information and workflow efficiency during contrast agent examinations. The technology harnesses unique non-linear microbubble energy discovered within the same fundamental frequency band as the transmitted pulses of sound and thus offers improved sensitivity and penetration. An auto tracking contrast quantification (ACQ) technology further complements the CPS detection technology with automatic image alignment during quantification with features such as on-line multiple time intensity curves (TIC). The regional image analysis holds promise of alleviating workflow inefficiency associated with manual alignment of image frames.

Contrast Media↗

Evidence for electronic health record systems in physical therapy.

With increasing pressures to better manage clinical information, we investigated the role of electronic health record (EHR) systems in physical therapist practice through a critical review of the literature. We reviewed studies that met our predefined criteria after independent review by 3 authors. The investigators in all of the reviewed studies reported benefits, including improved reporting, operational efficiency, interdepartmental communication, data accuracy, and capability for future research. In 7 studies, the investigators reported barriers, including challenges with behavior modification, equipment inadequacy, and training. The investigators in all studies reported key success factors, including end-user participation, adequate training, workflow analysis, and data standardization. This review suggests that EHRs have potential benefits for physical therapists. The authors formed the following recommendations based on the studies' themes: (1) incorporate workflow analysis into system design and implementation; (2) include end users, especially clinicians, in system development; (3) devote significant resources for training; (4) plan and test carefully to ensure adequate software and hardware performance; and (5) commit to data standards.

Data Collection↗

Surveying acute care providers in the U.S. to explore the impact of HIT on the role of nurses and interdisciplinary communication in acute care settings.

In 2005, the Healthcare Information and Management Systems Society's Nursing Informatics Task Force surveyed acute care providers across the United States to explore the impact of health information technology on the role of nurses and interdisciplinary communication in acute care settings. More than 1,700 healthcare professionals responded to the online survey and provided numerous insights into the impact that clinical information systems have in their daily communication and workflow patterns. This paper provides an overview of survey results from four large healthcare delivery systems with a focus on how the results will be employed to support an evidence-based approach to improving acute care IT systems across the following healthcare delivery systems: Partners and Lifespan Health Systems in the Northeast, Baptist Health South Florida in the Southeast, and Providence HealthSystem in the Northwest.A case study approach is employed to describe survey findings at the healthcare system level and then provide a set of recommendations to leverage findings to capitalize on the strengths of existing IT applications and tools, and work towards overcoming barriers to interdisciplinary communication or acute care workflows.

Acute Disease↗

Acceptance of PACS utilizing a PACS QI Program.

This article describes the quality improvement program that Mercy Hospital (Alegent Health System) initiated after it implemented a picture archiving and communication system (PACS) in November 2003. The radiology department encountered numerous PACS-related issues that directly affected the quality and workflow of patient care. In order to get a better understanding of the situation, the department developed a quality improvement plan for its PACS program. The first step was to dedicate a resource--in this case, a radiology information technology (RIT) support specialist--who would serve as a PACS subject matter expert while dealing with day-to-day PACS-related issues--specifically, errors. The error data were collected and categorized for consistency using statistical process control (SPC) tools. The information gathered was then traced back to the team members responsible for the errors and used as a training tool to further educate them. As a result of this program, the average error rate was reduced from 12% to 4% because the radiology team developed a better understanding of the errors by identifying the root causes and being accountable for eliminating errors within their control. In addition, the radiology staff learned to accept and trust the PACS, resulting in a positive culture change that benefited teamwork and staff morale as well as improve the workflow and the quality of patient care.

Attitude of Health Personnel↗

Human and system errors, using adaptive turnaround documents to capture data in a busy practice.

Capturing coded clinical data for clinical decision support can improve care, but cost and disruption of clinic workflow present barriers to implementation. Previous work has shown that tailored, scannable paper forms (adaptive turnaround documents, ATDs) can achieve the benefits of computer-based clinical decision support at low cost and minimal disruption of workflow. ATDs are highly accurate under controlled circumstances, but accuracy in the setting of busy clinics with untrained physician users is untested. We recently developed and implemented such a system and studied rates of errors attributable to physician users and errors in the system. Prompts were used in 63% of encounters. Errors resulting from incorrectly marking forms occurred in 1.8% of prompts. System errors occurred in 7.2% of prompts. Most system errors were failures to capture data and may represent human errors in the scanning process. ATDs are an effective way to collect coded data from physicians. Further automation of the scanning process may reduce system errors.

Ambulatory Care Information Systems↗

When you come to a fork in the road, take it: strategy selection in order entry.

This study investigates how CPOE system users choose data input strategies for entering clinical orders. Complex systems often allow more than one way to complete a task. However, the appropriate entry strategy in the context of a specific clinical workflow situation may not be apparent to users. We have conducted a cognitive analysis of user interaction strategies for entering IV injection orders using a commercial CPOE system. We characterized the set of available information resources in the system interface and in the users' memory, and evaluated how effectively the application supported decision-making processes. Seven internal medicine residents participated in an experiment entering IV heparin orders to manage anticoagulation therapy. The analysis showed that efficiency was contingent upon high level of procedural and conceptual system knowledge. CPOE interface design needs to conform to decision-making and workflow processes if the technology is to become an effective clinical tool.

Anticoagulants↗

User-driven design of a computerized rounding and sign-out application.

Clinical information systems depend on close integration to workflow for success. We describe a method for user-driven design that guided our development of a computerized rounding and sign-out system. The resulting system supported clinical workflow sufficiently well that it spontaneously attracted new users, required no training, and is currently used by 95% of the house staff at two academic medical centers.

Hospital Information Systems↗

High performance GRID based implementation for genomics and protein analysis.

Starting from the genomic and proteomic sequence data, a complex computational infrastructure as been established with the objective to develop a GRID based system to to automate the analysis, prediction and annotation processes of genomic DNA. To support of this type of analysis, several algorithms as been used to recognize biological signals involved in the identification of genes and proteins. The system implemented can be use to analyse the content of the large number of genomic sequences. For this reason, the system realized is capable of using a computational architecture specifically designed for intensive computing based on GRID technologies developed throughout the BIOINFOGRID European project. We developed a GRID based workflow to correlate different kind of Bioinformatics data, going from the Genomics Nucleotide to the Protein Sequence. The first step in the workflow consists of submitting a nucleotide sequence that is elaborated by a specific software for gene prediction. In particular this tool performs a search in the nucleotide sequence to find out the key components of gene. The predicted gene is then translated in the corresponding protein sequence. Based on protein sequence is then possible to identify the domains that characterize the protein functionality using specific tools of domain prediction. Protein domains classification are very important in the analysis of the macromolecular functionality. To analyze a whole protein family from large genome of various organism means to elaborate a large amount of data that requires huge computational resources. To analyze all this data we suggest the use of a high performance platform based on grid technology. We have implemented our applications on a wide area grid platform for scientific applications [http://www.grid.it and http://grid-it.cnaf.infn.it] composed of about 1000 CPU's. The grid infrastructure consists in a collection of computing elements and storage elements that jointly concur to define a platform for high performance elaboration. In this study a grid based application is presented to compute the protein domain analysis in a distributed way. This approach has high performance because the protein domains are checked with different software in parallel in different grid sites.

Computational Biology↗

Battling bad debt.

Automated revenue cycle tools are giving hospitals the power to identify bad debt and charity cases as they access a facility and to dictate the appropriate course of action and workflow. To be successful, these tools must be regulatorily compliant and easily upgradeable, and should be accompanied by: Extensive staff training. An adjustment in workflow to match patient payment probability. Support of revenue cycle staff and physicians.

Automation↗

Integration of interdisciplinary guidelines with clinical applications: Current and future scenarios.

Intermountain Healthcare (Intermountain) has developed a referential free-text interdisciplinary document collection to define standards for patient care. In order to improve access and use in bedside clinician workflow, Intermountain converted the document collection into a ubiquitous web-compatible format. The content has been structured using XML so it can be utilized by Intermountain's existing clinical applications, as well as positioning it for use in future deployed applications. It has become evident the strategy of structuring the content in this web-compatible format will support its use to drive current and future system functionality. As Intermountain moves forward in creating and deploying clinical applications, it is important to maintain and improve the current collection structure, sustaining the efficient integration and use of the content necessary to support clinician workflow and to meet information needs.

Documentation↗

E-DIMEM: an economic model to estimate the costs of e-disease management.

In order to estimate the cost of generic clinical guidelines based on telemedicine services for chronic patients, an economic model (E-DIMEM) has been defined. This model is designed to help health suppliers and managers to plan for the future. It is essentially a workflow composed by diagnosis and therapeutic activities. The cost of each workflow activity is related to healthcare providers (activity agents), drugs, instruments, telemedicine services, and type of specialized healthcare centers used (hospital, clinics, etc.). This model performs multidimensional analysis. A web service based on the E-DIMEM has been implemented.

Clinical Protocols↗

Associations between smart infusion pump-electronic health record interoperability and healthcare outcomes: A systematic review.

OBJECTIVE: This study synthesized available evidence on the associations between smart infusion pump-electronic health record (EHR) interoperability and healthcare outcomes. METHODS: A systematic review of PubMed, CINAHL, Embase, and Scopus databases identified 901 records, which were imported into Rayyan® for duplicate removal, independent screening by three reviewers, and resolution of discrepancies. Eligible studies were peer-reviewed, data-driven, and reported associations between smart infusion pump-EHR interoperability and healthcare outcomes. Studies focused solely on technical validation or interoperability prototypes were excluded. A backward citation search identified additional studies. Two reviewers independently extracted and cross-validated study characteristics using standardized templates. Methodological quality was assessed with the Joanna Briggs Institute Critical Appraisal Tools. RESULTS: Twenty records of 14 full-text studies and 6 conference proceedings were included. Most records reported positive associations between smart infusion pump-EHR interoperability and outcomes related to safety (e.g., medication administration errors, safety-reported events, pump alerts, and compliance with interoperability and drug library), operational efficiency (e.g., programming and documentation time and technical issues), financial performance (e.g., charges captured, and cost avoided), and user experience domains. Most studies used observational designs, reflecting real-world interoperability implementations, where controlling confounding factors is challenging. Limited reporting of baseline characteristics, pump type, and sample sizes limited comparability across studies. CONCLUSIONS: Smart infusion pump-EHR interoperability was associated with improvements in patient safety, efficiency, charge capture, and user experience, with variable findings across studies. Future research should use rigorous methodologies and standardized measures, examine relationships across outcome domains, assess limitations of pump-EHR interoperability, and evaluate underexplored outcomes, including team communication, cognitive workload, and AI-enabled pumps. IMPLICATIONS FOR CLINICAL PRACTICE: Interoperability should be viewed as a component of a broader sociotechnical system, in which technology, user, workflow, clinical content, and organizational practices collectively determine overall effectiveness.

Humans↗

Reframing Proteomics Measurement: Super Mass Spectrometry Framework and the Role of Delayed Electrospray Ionization Technique.

Dynamic range, repeatability, and reproducibility remain the central limitations of data-independent acquisition (DIA) proteomics. Current workflows emphasize protein group identification counts and throughput, but these metrics mask the fundamental measurement challenge: generating a repeatable, reproducible, high-fidelity, and relatively complete digital representation of complex proteomes. In particular, plasma proteomics spans more than 10 orders of magnitude in protein abundance, far exceeding the capacity and dynamic range of any single mass spectrometer. Incremental advances have not closed this gap. In this Perspectives article, I introduce the Super Mass Spectrometry framework and then highlight the Delayed Electrospray Ionization (Delayed-ESI) technique, as a practical approach to address these limitations. By producing compositionally identical but temporally staggered ion beams, the Delayed-ESI technique enables deterministic remeasurement of the same analyte profile, supporting various novel strategies to improve analytical figures of merit. While recent implementations of the Delayed-ESI technique have emphasized throughput, I argue that the broader value of the Delayed-ESI technique lies in extending dynamic range and improving repeatability and reproducibility─objectives that should take precedence if proteomics is to evolve into a robust measurement science capable of supporting population-scale proteomics studies.

Proteomics↗

From Variability to Consensus: Rescoring Harmonizes Peptide Identification across Diverse Search Engines and Data Sets.

Peptide-spectrum match (PSM) rescoring has become standard in proteomics workflows, improving peptide identification accuracy across diverse search engines. Despite the availability of multiple rescoring strategies, systematic comparisons spanning several search engines, data sets, and database configurations remain limited. Here, we benchmarked seven publicly available search engines, evaluating standard target-decoy-based false discovery rate (FDR) estimation alongside Percolator, MS2Rescore, and Oktoberfest across four data sets acquired on different mass spectrometry platforms in data-dependent mode and searched against protein databases of varying size and composition. Rescoring substantially increased identification consensus and reduced variability between search engines, with prediction-based approaches yielding the largest gains. While database size had limited impact for human data sets, it significantly affected identification rates on a metaproteomic data set. Entrapment-based evaluation indicated generally adequate FDR control across methods, although prediction-based rescoring exhibited a higher tendency toward FDR underestimation in specific configurations. Overall, advanced rescoring strategies harmonize peptide identification outcomes across search engines, thereby enhancing robustness and comparability in proteomics analyses. However, careful feature selection and appropriate database choice remain essential to ensure reliable FDR control and optimal performance across diverse experimental settings.

Search Engine↗