ICIPEMIR: Improving the Completeness, Interoperability and Patient Explanations of Medical Imaging Reports

Introduction: Although electronic health records have been facilitating the management of medical information, there is still room for improvement in daily production of medical report. Possible areas for improvement would be: to improve reports quality (by increasing exhaustivity), to improve patients’ understanding (by mean of a graphical display), to save physicians’ time (by helping reports writing), and to improve sharing and storage (by enhancing interoperability). We set up the ICIPEMIR project (Improving the completeness, interoperability and patients explanation of medical imaging reports) as an academic solution to optimize medical imaging reports production. Such a project requires two layers: one engineering layer to build the automation process, and a second medical layer to determine domain-specific data models for each type of report. We describe here the medical layer of this project. Methods: We designed a reproducible methodology to identify -for a given medical imaging exam- mandatory fields, and describe a corresponding simple data model using validated formats. The mandatory fields had to meet legal requirements, domain-specific guidelines, and results of a bibliographic review on clinical studies. An UML representation, a JSON Schema, and a YAML instance dataset were defined. Based on this data model a form was created using Goupile, an open source eCRF script-based editor. In addition, a graphical display was designed and mapped with the data model, as well as a text template to automatically produce a free-text report. Finally, the YAML instance was encoded in a QR-Code to allow offline paper-based transmission of structured data. Results: We tested this methodology in a specific domain: computed tomography for urolithiasis. We successfully extracted 73 fields, and transformed them into a simple data model, with mapping to a simple graphical display, and textual report template. The offline QR-code transmission of a 2,615 characters YAML file was successful with simple smartphone QR-Code scanner. Conclusion: Although automated production of medical report requires domain-specific data model and mapping, these can be defined using a reproducible methodology. Hopefully this proof of concept will lead to a computer solution to optimize medical imaging reports, driven by academic research.

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A Study on the Relationship Between Psychological Climate, Employee Engagement and Organizational Citizenship Behavior

OPUS HR Journal ◽

10.21863/opus/2015.6.2.007 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

Ginu George ◽

Binoy Joseph

Keyword(s):

Employee Engagement ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Academic Research ◽

Psychological Climate ◽

Citizenship Behavior ◽

Set Up ◽

Relationship Of ◽

The Relationship

Employee engagement is becoming an important area of focus by many HR consultancies in the recent years. Organizations having engaged employees tend to out-perform than employees who are not engaged or disengaged, also it will enable them to compete better in their industry resulting in higher performance, lower turnover, more profitability etc., Despite of all this there are still some industries who are ignorant and neglect the importance of having engaged employees. Therefore there is a necessity for more of academic research on employee engagement which helps in creating awareness to these organizations about the prominence of focusing on employee engagement and the findings will also augments the existing literature on employee engagement. The study was conducted on 433 employees working in travel organizations set up in Bangalore with the purpose of determining the relationship psychological climate (antecedent) has on employee engagement and in turn its relationship with organizational citizenship behavior (outcome). The study also determines the mediating relationship of employee engagement between PC and OCB.

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Hospital Informatization in China During the COVID-19 Pandemic: A Cross-Sectional Internet-Based Survey Study (Preprint)

10.2196/preprints.25778 ◽

2020 ◽

Author(s):

Ke Zeng ◽

Weiguo Zhu ◽

Caiyou Wang ◽

Liyan Zhu

Keyword(s):

Information Technology ◽

Information Security ◽

Medical Information ◽

Survey Study ◽

Chinese Government ◽

Qr Code ◽

Cross Sectional ◽

Network Information ◽

Tertiary Hospitals ◽

The Impact

BACKGROUND The rapid spread of COVID-19 has created a severe challenge to China’s healthcare system. Hospitals across the country reacted quickly under the leadership of the Chinese government and implemented a range of informatization measures to effectively respond to the COVID-19. OBJECTIVE To understand the impact of the pandemic on the medical business of Chinese hospitals and the difficulties faced by hospital informatization construction. To discuss the application of hospital informatization measures during the COVID-19 pandemic. To summarize the practical experience of hospitals using information technology to fight the pandemic. METHODS Performing a cross-sectional on-line questionnaire survey in Chinese hospitals, of which the participants are invited including hospital information staff, hospital administrators, medical staff, etc. Statistical analyzing the collected data by using SPSS version 24. RESULTS A total of 804 valid questionnaires (88.45%) are collected in this study from 30 provinces in mainland China, of which 731 (90.92%) were filled out by hospital information staff. 473 (58.83%) hospitals are tertiary hospitals while the remaining 331 (41.17%) are secondary hospitals. The majority hospitals (82.46%) had a drop in their business volume during the pandemic and a more substantial drop is found in tertiary hospitals. 70.40% (n=566) of hospitals have upgraded or modified their information systems in response to the epidemic. The proportion of tertiary hospitals that upgraded or modified systems is significantly higher than that of secondary hospitals. Internet hospital consultation (70.52%), pre-check and triage (62.56%), telemedicine (60.32%), health QR code (57.71%), and telecommuting (50.87%) are the most used informatization anti-pandemic measures. There are obvious differences in the application of information measures between tertiary hospitals and secondary hospitals. Among these measures, most of them (41.17%) are aiming at serving patients and most of them (62.38%) are universal which continue to be used after pandemic. The informatization measures are mostly used to control the source of infection (48.19%), such as health QR Code, etc. During the pandemic, the main difficulties faced by the hospital information department are “information construction projects are hindered” (58.96%) and “increased difficulty in ensuring network information security” (58.58%). There are significant differences in this issue between tertiary hospitals and secondary hospitals. The shortcomings of hospital informatization that should be made up for are “shorten patient consultation time and optimize consultation process” (72.51%), “Ensure network information security” (72.14%) and “build internet hospital consultations platform” (59.95%). CONCLUSIONS A significant number of innovative medical information technology have been used and played a significant role in all phases of COVID-19 prevention and control in China. Since the COVID-19 brought many challenges and difficulties for informatization work, hospitals need to constantly improve their own information technology skills to respond to public health emergencies that arise at any moment.

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Towards Inquiry-Based Flipped Classroom Scenarios: a Design Heuristic and Principles for Lesson Planning

International Journal of Science and Mathematics Education ◽

10.1007/s10763-021-10167-0 ◽

2021 ◽

Author(s):

Stefanie Schallert ◽

Zsolt Lavicza ◽

Ellen Vandervieren

Keyword(s):

Flipped Classroom ◽

Lesson Plan ◽

Lesson Plans ◽

Research Approach ◽

Inquiry Based Learning ◽

Domain Specific ◽

Evaluation Phase ◽

Assessment Techniques ◽

Set Up ◽

Design Heuristic

AbstractThe effectiveness of flipped classroom approaches can be improved by combining it with other pedagogical models such as inquiry-based learning. Implementing inquiry-based learning in flipped classroom scenarios requires teachers to plan arrangements for in- and out-of-class activities carefully. In this study, a design heuristic based on the 5E inquiry model was developed to support teachers’ practice of planning inquiry-based flipped classroom lessons. Following a design-based research approach, the design heuristic progressed through two cycles within 2 years. The design heuristic was implemented in both cycles in an online professional development course for secondary mathematics teachers. In the first cycle, 18 lesson plans were collected and analysed using the 5E lesson plan scoring instrument. Results showed that the design heuristic helped teachers to set up lesson plans for flipped classroom scenarios which were mostly in line with the 5E model. However, the evaluation phase was insufficiently addressed. Revision decisions were made at the end of the first cycle, and the design heuristic was revised and re-implemented in a second cycle. Results of the second cycle showed another 19 participating teachers who also struggled in choosing appropriate assessment techniques, an issue which could not be resolved with the proposed design heuristic. This paper describes the development of the design heuristic as well as relevant design principles for inquiry-based flipped classroom scenarios. The proposed design heuristic is not domain specific. Hence, further research could examine its use in other subjects or interdisciplinary as inquiry-based flipped classroom approaches are one of the emerging pedagogies.

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GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare ◽

10.31263/voebm.v71i1.1992 ◽

2018 ◽

Vol 71 (1) ◽

pp. 207-216 ◽

Cited By ~ 1

Author(s):

Johannes Hubert Stigler ◽

Elisabeth Steiner

Keyword(s):

System Architecture ◽

Academic Research ◽

Research Data ◽

Data Repository ◽

Data Repositories ◽

Domain Specific ◽

Preservation Policy ◽

Long Term Preservation ◽

Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

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DISSECT: DISentangle SharablE ConTent for Multimodal Integration and Crosswise-mapping

10.1101/2020.09.04.283234 ◽

2020 ◽

Author(s):

Geoffrey Schau ◽

Erik Burlingame ◽

Young Hwan Chang

Keyword(s):

Deep Learning ◽

Complete Information ◽

Specific Information ◽

Multimodal Integration ◽

Specific Data ◽

Domain Specific ◽

Cross Domain ◽

Input Feature ◽

Novel Approach ◽

Latent Representations

AbstractDeep learning systems have emerged as powerful mechanisms for learning domain translation models. However, in many cases, complete information in one domain is assumed to be necessary for sufficient cross-domain prediction. In this work, we motivate a formal justification for domain-specific information separation in a simple linear case and illustrate that a self-supervised approach enables domain translation between data domains while filtering out domain-specific data features. We introduce a novel approach to identify domainspecific information from sets of unpaired measurements in complementary data domains by considering a deep learning cross-domain autoencoder architecture designed to learn shared latent representations of data while enabling domain translation. We introduce an orthogonal gate block designed to enforce orthogonality of input feature sets by explicitly removing non-sharable information specific to each domain and illustrate separability of domain-specific information on a toy dataset.

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Towards a High Reliable Enforcement of Safety Regulations - A Workflow Meta Data Model and Probabilistic Failure Management Approach

Transactions on Environment and Electrical Engineering ◽

10.22149/teee.v1i4.59 ◽

2016 ◽

Vol 1 (4) ◽

Author(s):

Heiko Henning Thimm

Keyword(s):

Data Model ◽

Workflow Management ◽

Health And Safety ◽

Failure Detection ◽

Management Approach ◽

Environmental Health And Safety ◽

Meta Data ◽

Domain Specific ◽

Use Of Data ◽

Safety Regulations

Today’s companies are able to automate the enforcement of Environmental, Health and Safety (EH&S) duties through the use of workflow management technology. This approach requires to specify activities that are combined to workflow models for EH&S enforcement duties. In order to meet given safety regulations these activities are to be completed correctly and within given deadlines. Otherwise, activity failures emerge which may lead to breaches against safety regulations. A novel domain-specific workflow meta data model is proposed. The model enables a system to detect and predict activity failures through the use of data about the company, failure statistics, and activity proxies. Since the detection and prediction methods are based on the evaluation of constraints specified on EH&S regulations, a system approach is proposed that builds on the integration of a Workflow Management System (WMS) with an EH&S Compliance Information System. Main principles of the failure detection and prediction are described. For EH&S managers the system shall provide insights into the current failure situation. This can help to prevent and mitigate critical situations such as safety enforcement measures that are behind their deadlines. As a result a more reliable enforcement of safety regulations can be achieved.

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Compressed domain-specific data processing and analysis

2017 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2017.8257941 ◽

2017 ◽

Author(s):

Dapeng Dong ◽

John Herbert

Keyword(s):

Data Processing ◽

Compressed Domain ◽

Specific Data ◽

Domain Specific

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Herschel Footprint Database and Service

Proceedings of the International Astronomical Union ◽

10.1017/s1743921316008401 ◽

2015 ◽

Vol 11 (S315) ◽

Author(s):

E. Varga-Verebélyi ◽

L. Dobos ◽

T. Budavári ◽

Cs. Kiss

Keyword(s):

Web Services ◽

Data Model ◽

Geometric Form ◽

Imaging Data ◽

Space Observatory ◽

Herschel Space Observatory ◽

Search Tool ◽

Set Up

AbstractWe created the Herschel1 Footprint Database and web services for the Herschel Space Observatory imaging data. For this database we set up a unified data model for the PACS and SPIRE Herschel instruments, from the pointing and header information of each observation, generated and stored sky coverages (footprints) of the observations in their exact geometric form. With this tool we extend the capabilities of the Herschel Science Archive by providing an effective search tool that is able to find observations for selected sky locations (objects), or even in larger areas in the sky.

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