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Optimizing workflow and knowledge in healthcare through innovation.

People's desire is to stay healthy during the entire course of their live. Innovations in medicine in care and technology have always contributed significantly to meet this desire as close as possible. Today, healthcare systems are faced with huge additional challenges. The focus of nearly every healthcare debate is on costs. But is this debate target-oriented and does it support the struggle for further enhancing the quality of care? The implementation of IT assisted workflow and knowledge supporting tools throughout the entire healthcare process--prevention to cure--leads to care which would be much more focused on people's needs and efficiency. The information gained from monitoring and wearable devices has to be included to these tools for delivering comprehensive patient information to the point of care. Then the puzzle of the different components in healthcare linked by IT will be complete, and the care process could be continuously optimized in an efficient way.

Biomedical Technology↗

Experiences incorporating Tablet PCcs into clinical pharmacists' workflow.

Tablet PCs are portable computers that combine the power of a laptop with an intuitive pendriven interface that have been heavily promoted for vertical industries such as healthcare. The authors describe their experiences with tablet PCs used by clinical pharmacists in a large academic medical center. A slate tablet with a large screen and wireless networking capability was chosen. Tablet PCs were issued to users with a customized 'pen-friendly" clinical application and secure access to the majority of available electronic patient information. In general, the feedback from the pilot users was positive. Users reported increased efficiency on patient care rounds; they say they reduced or eliminated paper notes and shadow charts from their daily routine. However, researchers also observed that some clinical practice workflow models or clinicians did not benefit from or were hindered by the mobile devices. The department plans to expand the use of tablet PCs through desktop replacement and is developing solutions to increase the applicability of tablet PCs for all clinical models and clinicians.

Computers, Handheld↗

A framework based on Web service orchestration for bioinformatics workflow management.

Bioinformatics activities are growing all over the world, with proliferation of data and tools. This brings new challenges: how to understand and organize these resources and how to provide interoperability among tools to achieve a given goal. We defined and implemented a framework to help meet some of these challenges. Four issues were considered: the use of Web services as a basic unit, the notion of a Semantic Web to improve interoperability at the syntactic and semantic levels, and the use of scientific workflows to coordinate services to be executed, including their interdependencies and service orchestration.

Algorithms↗

Enhancing operational workflow and patient tracking in an ambulatory setting.

As Massachusetts General Hospital (MGH) was forging ahead with the completion of the new Yawkey Center for Outpatient Care, administrative groups began to struggle with how they would be able to function in the new building. They would be moving from smaller, isolated practice areas into much larger state-of-the-art facilities with shared common spaces. The affected practices were challenged with developing new workflows and communication processes. After an unsuccessful vendor search, teams from Partners/MGH Information Systems built a solution in-house, using the vendor search requirements as their functional specifications. The application, and the new building have been live since October 2004. The application now is managing 9,000 patients per appointments a day from all of the appointment scheduling systems used throughout the building. This case study will review how Massachusetts General used information systems to ensure success in its new 10-story ambulatory care center, and met the needs of clinicians, patients, staff, and practice managers.

Efficiency, Organizational↗

Workflow analysis in primary care: implications for EHR adoption.

Within busy practice settings, it is difficult to provide adequate provider training on evolving electronic health record (EHR) functionality. As a result, providers may not reap the full benefits of EHR. This poster presents a systematic workflow study conducted to enhance the adoption of advanced EHR features. This study led us to develop new adoption and training strategies, which resulted in statistically significant (p<0.03) improvement in the adoption of advanced results management features.

Computer User Training↗

Workflow and problem domain as information planning tools in a pediatric clinic--defining present and future information technology needs.

In 2002, $22.4 billion were spent on hospital construction in the US. With lifetimes for new buildings expected to be decades, planning a building's information technology infrastructure must take into account present and future needs. Workflow measurement and the definition of problem domain have been advanced as essential tools in addressing current requirements while anticipating future needs. To examine these, stakeholders must be identified-including both those who will use the facility and those who will be involved in the IT planning and long term support.

Child↗

Does parallel workflow impact anesthesia quality?

Redesigns of workflow to allow parallel processing of OR tasks in the Operating Room of the Future at Massachusetts General Hospital have reduced non-operative time, increasing OR throughput. Automatically gathered anesthesia times were studied to address concerns that the new process constricted anesthesia work time. Upon close examination, it was found that 'Induction Time' was the only time interval not impacted by extraneous influences that invalidated other metrics based on the automatic data. 'Induction Time' increased in the Operating Room of the Future as compared to Standard Operating Rooms.

Anesthesia↗

A distributed environment for the integration of multiple high-performance decision support systems into clinical workflow.

Current studies conclude that clinical decision support systems can help reduce serious medical errors. The importance of Causal Probabilistic Networks (CPNs) for constructing such systems is already well-known. However, the computational complexity of probabilistic inference, which results in unacceptably high response times, can hinder acceptance and integration into clinician workflow. This paper investigates the optimization and parallelization potential of complex CPN-based medical decision support systems and evaluates the results of implementing a parallel, high performance version of an existing decision support system concerning proper antibiotic treatment therapy. Furthermore, it discusses distributed computing techniques for making multiple high performance decision support systems available at the time and location of decision making, by exploiting computing resources residing inside, as well as outside the hospital walls optimally.

Algorithms↗

Removal of paper-based health records from Norwegian hospitals: effects on clinical workflow.

Several Norwegian hospitals have, plan, or are in the process of removing the paper-based health record from clinical workflow. To assess the impact on usage and satisfaction of electronic health record (EHR) systems, we conducted a survey among physicians, nurses and medical secretaries at selected departments from six Norwegian hospitals. The main feature of the questionnaire is the description of a set of tasks commonly performed at hospitals, and respondents were asked to rate their usage and change of ease compared to previous routines for each tasks. There were 24 tasks for physicians, 19 for nurses and 23 for medical secretaries. In total, 64 physicians, 128 nurses and 57 medical secretaries responded, corresponding to a response rate of 68%, 58% and 84% respectively. Results showed a large degree of use among medical secretaries, while physicians and nurses displayed a more modest degree of use. Possibly suggesting that the EHR systems among clinicians still is considered more of an administrative system. Among the two latter groups, tasks regarding information retrieval were used more extensively than tasks regarding generating and storing information. Also, we observed large differences between hospitals and higher satisfaction with the part of the system handling regular electronic data than scanned document images. Even though the increase in use among clinicians after removing the paper based record were mainly in tasks where respondents had no choice other than use the electronic health record, the attitude towards EHR-systems were mainly positive. Thus, while removing the paper based record has yet to promote new ways of working, we see it as an important step towards the EHR system of tomorrow. Several Norwegian hospitals have shown that it is possible.

Diffusion of Innovation↗

Towards effective implementation of a pediatric asthma guideline: integration of decision support and clinical workflow support.

Successful local implementation of national guideline recommendations requires attention to factors that promote clinician compliance. Design of a computerized system is described that will implement recommendations from a recently published guideline for outpatient management of childhood asthma exacerbations. Logical analysis of the guideline shows that it is incomplete and contains several ambiguities that must be addressed before the guideline can be operationalized. Once the user-audience is defined guideline decision points are examined and a structured data entry system is devised. Support of clinicians' workflow is provided by an integrated capability for encounter documentation, dosage calculation, and prescription-writing. A pen-based, graphical interface represents an appropriate platform for implementation of the system because of its ease of use and portability.

Asthma↗

Enhancement of clinician workflow with computer order entry.

Physician-operated order entry systems can bring great benefits to an institution. Such systems can improve the consistency, accuracy, safety, and cost-effectiveness of orders. When building or selecting order entry for an institution, consideration must be given to the many different scenarios in which orders are written and communicated. Transfer, post-op, pre-admission and discharge orders have different communication requirements from standard inpatient orders. In certain services, orders from a very limited set (such as warfarin orders) must be written frequently for a large number of patients. Intensive-care patients, chemotherapy patients, and others have particular requirements for ordering. A computerized order entry system should respond to these requirements in order to promote correct and efficient ordering. We present a number of these issues, their specific requirements, and the approach we have taken to ensure that the system both supports and enhances workflow.

Clinical Pharmacy Information Systems↗

Workflow: a new modeling concept in critical care units.

The term Groupware concerns computer-based systems that support groups of people engaged in a common task (goal) and that provide an interface to a shared environment [1]. The absence of a common tool for exchanges between physicians and nurses causes a multiplication of paper supports for the recording of information. Our objective is to study software architectures in particular medical units that allow task coordination and managing conflicts between participants within a distributed environment. The final goal of this research is to propose a computer solution that could answer the user requirements in Critical Care Units (CCUs). This paper describes the Workflow management approach [5] for supporting group work in health care field. The emphasis is especially on asynchronous cooperation. This approach was applied to CCUs through the analysis and the proposal of a new architecture [6]. We shall limit ourselves to explaining control board and analyzing the message management we support.

Critical Care↗

metaExpertPro: A Computational Workflow for Metaproteomics Spectral Library Construction and Data-Independent Acquisition Mass Spectrometry Data Analysis.

Analysis of large-scale data-independent acquisition mass spectrometry metaproteomics data remains a computational challenge. Here, we present a computational pipeline called metaExpertPro for metaproteomics data analysis. This pipeline encompasses spectral library generation using data-dependent acquisition MS, protein identification and quantification using data-independent acquisition mass spectrometry, functional and taxonomic annotation, as well as quantitative matrix generation for both microbiota and hosts. By integrating FragPipe and DIA-NN, metaExpertPro offers compatibility with both Orbitrap and timsTOF MS instruments. To evaluate the depth and accuracy of identification and quantification, we conducted extensive assessments using human fecal samples and benchmark tests. Performance tests conducted on human fecal samples indicated that metaExpertPro quantified an average of 45,000 peptides in a 60-min diaPASEF injection. Notably, metaExpertPro outperformed three existing software tools by characterizing a higher number of peptides and proteins. Importantly, metaExpertPro maintained a low factual false discovery rate of approximately 5% for protein groups across four benchmark tests. Applying a filter of five peptides per genus, metaExpertPro achieved relatively high accuracy (F-score&#xa0;=&#xa0;0.67-0.90) in genus diversity and showed a high correlation (rSpearman&#xa0;=&#xa0;0.73-0.82) between the measured and true genus relative abundance in benchmark tests. Additionally, the quantitative results at the protein, taxonomy, and function levels exhibited high reproducibility and consistency across the commonly adopted public human gut microbial protein databases IGC and UHGP. In a metaproteomic analysis of dyslipidemia patients, metaExpertPro revealed characteristic alterations in microbial functions and potential interactions between the microbiota and the host.

Proteomics↗

Proteome-Scale Tissue Mapping Using Mass Spectrometry Based on Label-Free and Multiplexed Workflows.

Multiplexed bimolecular profiling of tissue microenvironment, or spatial omics, can provide deep insight into cellular compositions and interactions in healthy and diseased tissues. Proteome-scale tissue mapping, which aims to unbiasedly visualize all the proteins in a whole tissue section or region of interest, has attracted significant interest because it holds great potential to directly reveal diagnostic biomarkers and therapeutic targets. While many approaches are available, however, proteome mapping still exhibits significant technical challenges in both protein coverage and analytical throughput. Since many of these existing challenges are associated with mass spectrometry-based protein identification and quantification, we performed a detailed benchmarking study of three protein quantification methods for spatial proteome mapping, including label-free, TMT-MS2, and TMT-MS3. Our study indicates label-free method provided the deepest coverages of &#x223c;3500 proteins at a spatial resolution of 50&#xa0;&#x3bc;m and the highest quantification dynamic range, while TMT-MS2 method holds great benefit in mapping throughput at >125 pixels per day. The evaluation also indicates both label-free and TMT-MS2 provides robust protein quantifications in identifying differentially abundant proteins and spatially covariable clusters. In the study of pancreatic islet microenvironment, we demonstrated deep proteome mapping not only enables the identification of protein markers specific to different cell types, but more importantly, it also reveals unknown or hidden protein patterns by spatial coexpression analysis.

Proteome↗

Targeted Modulation of Abundant Proteins Enhances Proteomic Profiling of Ovarian Cancer Ascites: A Pilot Technical Workflow Comparison.

Ascites from ovarian cancer patients are increasingly recognized as a valuable biofluid for cancer research, as its protein composition reflects the disease state and may reveal biomarkers of treatment sensitivity and response. However, the detection of low-abundance proteins is hindered by the presence of highly abundant proteins such as albumin. In this study, we evaluated five protein preparation methods for their effectiveness in depleting high-abundance or enriching low-abundance proteins in ovarian cancer ascites. The Norgen (Nor), Minutes (Min), and Perchloric acid (PerCA) methods were based on abundant protein depletion, while the Urine (Uri) and Nanomics (Nano) kits focused on low-abundance protein enrichment. Processed samples were analyzed using label-free quantitative bottom-up proteomics by LC-MS/MS, followed by a bioinformatics assessment. Compared with undepleted ascites (UnD), Min, Nor, Nano, and PerCA increased protein identifications, whereas Uri produced profiles similar to those of UnD. Notably, PerCA and Nano enabled the identification of distinct protein subsets associated with cancer-related pathways, including immune responses and autophagy. PerCA enriched transmembrane and secreted immunomodulatory glycoproteins, whereas Nano enrichment primarily captured secreted, nuclear, and cytoplasmic soluble proteins. Overall, our results show that both high-abundance protein depletion and low-abundance enrichment improve ascites proteome coverage, each offering distinct advantages in identifying biologically relevant low-abundance proteins.

Female↗

ECHO: a nanopore sequencing-based workflow for (epi)genetic profiling of the human repeatome.

SUMMARY: The human genome is dominated by repetitive DNA, whose genetic and epigenetic variation plays a key role in gene regulation, genome stability, and disease. Recent advances in long-read sequencing now enable large-scale, haplotype-resolved, and DNA methylation-informative analysis of the human genome, including on previously inaccessible complex and repetitive regions. However, the comprehensive, simultaneous characterisation of the "human repeatome" remains challenging, largely due to the lack of comprehensive tools integrated in a single pipeline that can capture the full spectrum of variation across diverse types of DNA repeats. Here, we present ECHO, a user-friendly, Snakemake-based pipeline for the "(Epi)genomic Characterisation of Human Repetitive Elements using Oxford Nanopore Sequencing." ECHO provides a reproducible and scalable framework for end-to-end analysis of whole-genome nanopore sequencing data, enabling integrative but also tailored (epi)genetic analyses of the human repeatome. AVAILABILITY AND IMPLEMENTATION: ECHO is freely available at Github: https://github.com/leenput/ECHO-pipeline, with the archived version at Zenodo: https://zenodo.org/records/19068468.

Humans↗

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

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

Cross-Sectional Studies↗