bluuebunny/crossref_metadata_2025 huggingface dataset:
Barriers to Implementing eHealth: A Multi-dimensional Perspective
Authors: Alkhaldi Bidah  , Sahama Tony  , Huxley Craig  , Gajanayake Randike
Published: February 2025

This paper strives to identify barriers that hamper eHealth implementation from different perspectives. The benefits offered by eHealth and the need for eHealth preparedness is first discussed. This is followed by a discussion on the integral components of a robust eHealth infrastructure. Then, the barriers to eHealth such as technical interoperability issues, lack of holistic approach and technology disconnect are explained in detail. Finally, solutions to promote better adoption of eHealth through government policies, standardisation and training are also discussed.
ChronoQuery: Visual Modelling of Temporal Queries for Real-Time Decision Support
Authors: Majeed Raphael W.  , Stöhr Mark R.  , Brenner Thorsten  , Röhrig Rainer
Published: February 2025

Clinical decision support systems are an important aspect of medical informatics. The increasing amount of available patient data requires physicians to rely on information technology for research and during their day by day work. In intensive care medicine, fast actions are especially important. One major step towards enabling direct interaction of medical staff with patient data was the development of clinical data repositories with easy query frontends. While clinical data repositories can be extended for the use of real-time data, the corresponding query frontends do not support the time concepts necessary for real-time queries and decision support. Aim of this project is the development of a user interface to give physicians visual understanding of propositional logic combined with time concepts. Thus, physicians should be able formulate simple time based queries on their own – and validate and quality check complex queries created by medical informatics experts.
Consumer Acceptance of Accountable-eHealth Systems
Authors: Gajanayake Randike  , Iannella Renato  , Sahama Tony
Published: February 2025

In this paper, we present the results of a survey conducted to measure the attitudes of eHealth consumers towards Accountable-eHealth systems, which are designed for information privacy management. We developed a research model that identify the factors contributing to system acceptance from quantitative data of 187 completed survey responses from university students studying non-health-related courses at university (Queensland, Australia). The research model is validated using structural equation modeling and can be used to identify how specific characteristics of Accountable-eHealth systems would affect their overall acceptance by future eHealth consumers.
Sentence-based Plagiarism Detection focusing on Nouns and Part-of-Speech Structure
Authors: Yokoi Takeru  , Oikawa Gouki  , Iwata Mitsuru  , Sato Takashi  , Kobayakawa Michihiro
Published: February 2025

Plagiarism by the copy and paste of documents written by other authors has recently become a large problem as electronic documents have increased. In higher educational institutions, it is also of great concern in student reports. In this paper, we have proposed a novel method to automatically detect plagiarism, especially for reports in Japanese and focusing on noun correspondence and the structure of parts of speech for each sentence. We have also performed experiments to evaluate our method with actual experimental reports written by our students to confirm its effectiveness.
Mobile Positioning Solution Suitable for Intelligent Transportation System based on IEEE 802.11a
Authors: Brida Peter  , Machaj Juraj
Published: February 2025

Most of outdoor localization systems is based on range based measurements. Thus, the mobile terminal needs calculate its distance from the reference station. It can be represented by a base station or an access point. Performance of this approach is highly affected by signal fluctuations due to multipath propagation, especially in dense urban areas. In this paper, we propose and evaluate the feasibility of implementation positioning system in outdoor environment. Proposed localization system is based on finger-printing approach and utilizes signals from the IEEE 802.11a network. IEEE 802.11a is not traditional platform for mobile positioning, but it is widely implemented in recent years and would be utilized for this purpose. We analyze the influence of different factors on the positioning accuracy and provide some recommendation to implementation of the system based on the IEEE 802.11a.
Epitope Prediction Based on Geometric Spiral Features of Neighboring Surface Residues
Authors: Lo Ying-Tsang  , Fujita Hamido  , Pai Tun-Wen
Published: February 2025

One of the most challenging research topics in developing application software for computational immunology is to predict B-cell epitopes on antigenic protein structural surfaces correctly. Although there have been long-term research history in both linear and conformational epitope prediction, it is yet far from being satisfied for perfect solutions. Especially, several developed systems in the past few years for predicting conformational epitopes neither reach high-accuracy performance, nor for efficient simulations. Therefore, an effective and efficient prediction tool for epitope analysis plays an important role for growth and development in immune-related applications, such as vaccine design and disease prevention. In this paper, we designed an intelligent system based on a set of combinatorial features including amino acid types and physicochemical characteristics of each residue. We also proposed a novel geometric spiral vector on structural surface for matching similarities of conformational epitopes. The simulation results achieved an average sensitivity of 65.7%, an average specificity of 86.1%, an average positive prediction value of 51.1%, and an average accuracy of 83.5% for a non-redundant dataset containing 53 antigenic proteins. Experimental results show a superior performance of our proposed system compared to currently published computational techniques in the fields of antigen-antibody interaction analysis.
Tools for Teaching and Learning Programming: A Review and Proposed Tool
Authors: Yusri Nurliana  , Zulika Ain  , Syed-Mohamad Sharifah Mashita  , Abdul Rashid Nur' Aini
Published: February 2025

Learning programming is a process that requires the study of programming principles and algorithms together with appropriate practice. Numerous support tools have been developed to assist lecturers and students in teaching and learning programming, respectively. This paper reviews the tools available; focusing on collaborative learning support functions, and presents an integrative model that provides collaborative features such as communication and social supports. This tool also provides the opportunity for lecturers to pay attention to the degree of progress of each student, which in turns this would motivate the students to learn programming.
Latvian Newswire Information Extraction System and Entity Knowledge Base
Authors: Paikens Pēteris
Published: February 2025

This paper describes an information extraction system designed for obtaining CV-style structured information about publicly mentioned persons, organizations and their relations by analyzing newswire archives in the Latvian language. The described text analysis pipeline consists of morphosyntactic analysis, NER and coreference resolution, and a semantic role labeling system based on FrameNet principles. We also implement an entity linking process, matching the entity mentions in each document to an entity knowledge base that is initially seeded with authoritative information on relevant people and organizations. The accuracy of automated frame extraction varies depending on specifics of each frame type, but the average accuracy currently is 53% F-score for frame target identification, and 61% for frame element role classification. The currently targeted volume of text is the total archives of Latvian newspapers, magazines and news portals, consisting of about 3.5 million articles.
Applying change management metaphors to a national e-Health strategy
Authors: Saunders Chad  , Scott Richard E.
Published: February 2025

Recent attempts at a collective understanding of how to develop an e-Health strategy have addressed the individual organisation, collection of organisations, and national levels. At the national level the World Health Organisation's National eHealth Strategy Toolkit serves as an exemplar that consolidates knowledge in this area, guides practical implementations, and identifies areas for future research. A key implication of this toolkit is the considerable number of organisational changes required to successfully apply their ideas in practice. This study looks critically at the confluence of change management and e-Health strategy using metaphors that underpin established models of change management. Several of Morgan's organisational metaphors are presented (highlighting varied beliefs and assumptions regarding how change is enacted, who is responsible for the change, and guiding principles for that change), and used to provide a framework. Attention is then directed to several prominent models of change management that exemplify one or more of these metaphors, and these theoretical insights are applied to evaluate the World Health Organisation's National eHealth Strategy Toolkit. The paper presents areas for consideration when using the WHO/ITU toolkit, and suggestions on how to improve its use in practice. The goal is to seek insight regarding the optimal sequence of steps needed to ensure successful implementation and integration of e-health into health systems using change management models. No single model, toolkit, or guideline will offer all the needed answers, but clarity around the underlying metaphors informing the change management models being used provides valuable insight so potentially challenging areas can be avoided or mitigated.
Telehealth for chronic disease management: Do we need to RE-AIM?
Authors: Varnfield Marlien  , Karunanithi Mohan  , Ding Hang  , Bird Dominique  , Oldenburg Brian
Published: February 2025

An increasing number of individuals are living with long term health conditions which they manage most of the time by themselves. This paper evaluates the use of information and communications technology platforms to provide evidence-based programs to help people with chronic disease to self-management these. It describes two different self-management strategies for chronic conditions, and the evaluation of their implementation in clinical trials, specifically in terms of reach, implementation fidelity, adoption and user perceptions. It also discusses the challenges in replicating trial findings in the real world, using the RE-AIM framework.
Reuse of non-metallic residues from aluminium recycling industry in production of porous building materials
Authors: Bajare Diana  , Bumanis Girts  , Korjakins Aleksandrs  , Sele Laura
Published: February 2025

The aim of this study was to find a new method for usage of the hazardous waste coming from the aluminium scrap recycling factories. It is generally considered that non-metallic residues (NMR) are process waste and subject to disposal after residual metal has been recovered from primary dross. NMR are impurities, which are removed from the molten metal in the process of dross recycling, and it could be defined as a hazardous waste product. Processing of NMR created in the aluminium scrap recycling companies is one of the most challenging tasks due to its toxic nature - in accordance with the Basel Convention, Annex III, marking of this waste is H 4.3 (reaction with water results in highly inflammable substances) and H 10 (reaction with water results in increased concentration of toxic gases, for instance, ammonia). The new alkali activated materials, which could be defined as porous building materials, were created by using calcined illite clay from local site and NMR. Solution of sodium silicate (Na2SiO3+nH2O) modified by commercially available alkali flakes (NaOH) was used as an activating solution. Polymerization mechanism of raw materials in alkaline media was investigated by using FTIR and XRD. Physical and thermal properties of the obtained materials were tested. Density of the obtained materials was in the range 550-675 kg/m3, but the total porosity was from 73 to 78%. The compressive strength of the materials was in range from 1.4 to 2.0 MPa. The thermal conductivity of porous alkali activated building materials was between 0.14 and 0.15 (W/(m·K).
Initial study to determine the tensile material properties of fresh concrete
Authors: Dippenaar Jan Diederick  , Combrinck Riaan  , Boshoff William Peter
Published: February 2025

The early age cracking of concrete often occurs in flat concrete elements such as bridge decks and slabs exposed to conditions with high evaporation. These cracks, which include plastic shrinkage and plastic settlement cracks, have a premature detrimental effect on the durability of concrete structures. Cracking occurs when mechanisms such as differential settlement and capillary pressure cause the development of tensile stresses in the concrete which exceeds the tensile strength of the concrete. A fundamental understanding of the tensile properties of fresh concrete and the variables that affect them are imperative in order to understand and reduce the risk of early age cracking. In addition, the tensile properties such as ultimate tensile strength, tensile strain capacity and Young's modulus all as a function of time are also required as input parameters for the numerical analysis of early age cracking of fresh concrete which can ultimately be used to predict and prevent cracking. This paper gives a summary of the most significant work done in this field over the last few decades. This is followed by the description of initial results achieved with a newly built test setup which aims to measure the tensile material properties of fresh concrete specimens at ages from 1 hour after mixing and onwards. Although the new test setup showed promise it still encountered several issues which are discussed in the paper. These issues were mainly due to the difficulty of handling and testing plastic concrete at such an early age. Finally, an improved test setup is proposed based on the knowledge gained from the initial test setup as well as the literature study. This improved test setup is currently under construction and forms part of a larger ongoing research project at Stellenbosch University aimed at controlling the early age plastic cracking of concrete.
EVA/intumescent agent flame retardant composite materials using organic/inorganic hybrid filler
Authors: Park Ji-Won  , Lee Jung-Hun  , Choi Hee-Chun  , Kim Hyun-Joong  , Jang Hyun-Min  , Choi Jung-Yun
Published: February 2025

Ethylene vinyl acetate copolymer as the ethylene vinyl acetate (EVA) is used in various fields, because EVA has wide se-lection of properties. Recently, eco-friendly flame retardants have been actively research. Securing of flame retardants is very important, especially for the purpose of expanding the polymer. In this study, in order to develop a category of non-halogen flame retardants, intumescent agent system was introduced. Intumescent agent system - Ammonium phosphate monobasic (APP), Pentaerythritol (PER), Melamine (MEL) consisting of three substances - has demonstrated good miscibility with EVA, and the composite excellent flame-retardant properties to be implemented. By the hybrid system, mechanical properties of intumescent agent composite are dramatically increased. Polypropylene (PP) hybrid system is very useful method for improving mechanical properties
Effect of the loading condition on the restoring force characteristics of the rigid frame RC pier with the shear wall
Authors: Gao Wenjun  , Otsuka Hisanori  , Kajita Yukihide
Published: February 2025

The rigid frame RC (reinforced concrete) pier with the shear wall is used as high piers of the expressway in mountainous area in Japan. The damage process and restoring force characteristics of this RC pier have not been sufficiently understood yet. In this study, the experiment work that the monotonic and cyclic loading on the RC specimens were carried out. Based on the test result, it is found that: axial compression force has influence on load carrying capacity of restoring force characteristic, and the load carrying capacity with axial compression force is greater than that without axial compression force; monotonic and cyclic loads show influence on deformation capacity of restoring force characteristic, and the deformation capacity of monotonic horizontal loading specimen is 2 times greater than that of cyclic horizontal loading specimen.
A dataset of RDF licenses
Authors: Rodríguez-Doncel Víctor  , Villata Serena  , Gómez-Pérez Asunción
Published: February 2025

This paper describes a dataset of licenses expressed as RDF. The most important rights and conditions present in licenses for software, data and general works are expressed with the Open Digital Rights Language (ODRL) 2.0 vocabulary and extensions thereof. The dataset contains licenses identified by a dereferenceable URI, which are served with content negotiation providing a double representation for humans and machines alike. This feature enables a generalized machine-to-machine commerce if generally adopted.
Designing Conceptual Database Models for Innovative Evaluation of Quality
Authors: Locuratolo Elvira Immacolata
Published: February 2025

A theoretical approach to determine innovative evaluation of model quality is proposed. This approach is based on two different mappings to design the same conceptual database model: the former is a vertical mapping composed of bottom-up steps. It starts from the specification of a database applications supported by a formal model and achieves a resulting model based on semantic data models. The latter is a horizontal mapping composed of successive model extensions. It starts from a graph of conceptual classes and achieves the resulting model of the previous mapping. Formulas for the quantitative/numerical evaluations of the models are introduced during the vertical mapping, whereas “formulas” for the qualitative/conceptual evaluations of models are introduced during the horizontal mapping. The quantitative evaluations express the costs of what has been specified/proven in terms of variable and constant cardinality. The qualitative/conceptual evaluations express the saving that you get for what has been implicitly specified/proved. The quality measure of the resulting model is given in terms of hidden classes. These provide indication about different aspects of the model quality.
Nevus and Melanoma Paraconsistent Classification
Authors: Souza Sheila  , Abe Jair Minoro
Published: February 2025

This paper presents the first studies on Nevus and Melanoma classification by using Paraconsistent Artificial Neural Network (PANN). Nevus is usually a small growth on the skin while Melanoma is a dangerous skin cancer. The proposed automated process classifies a set of medical images as Nevus and Melanoma based on a methodology grounded on PANN which is able to deal with conflicting, paracomplete and imprecise data directly without trivialization. Such methodology performed promising results considering only border features to classify the sample.
Hygehos Home: an innovative remote follow-up system for chronic patients
Authors: Carrasco Eduardo  , Sánchez Eider  , Artetxe Arkaitz  , Toro Carlos  , Graña Manuel  , Guijarro Frank  , Susperregui José María  , Aguirre Agustín
Published: February 2025

This paper describes an innovative architecture for the remote follow-up of the health of chronic patients, and its implementation which is called Hygehos Home. The main purpose of the system is to enhance the quality of the daily healthcare practice, by means of bringing both patient and medical professionals closer to each other and by empowering the patient in the healing process. On the one side, Hygehos Home is a platform which gives the patient access to a set of personalized e-Health services using different channels such as web or smartphone. The e-Health services currently provided are: a) health related questionnaires, b) vital sign delivery (weight, blood pressure, oxygen level in blood, temperature, etc.), c) pharmacologic treatment adherence follow-up, d) access to information about the disease, and e) direct communication with the care providers (physicians, nurses, etc.). On the other side, Hygehos Home is fully integrated in the Hospital Information System (HIS), so that the healthcare professionals can easily access all data registered by the patients, such as subjective feedback, vital signs, medication uptake, etc. In this way, the health professionals are able to conduct an efficient and continuous remote supervision of the evolution of the patient. Finally, the validation protocol being conducted is described.
Findings in resting-state fMRI by differences from K-means clustering
Authors: Chyzhyk Darya  , Graña Manuel
Published: February 2025

Resting state fMRI has growing number of studies with diverse aims, always centered on some kind of functional connectivity biomarker obtained from correlation regarding seed regions, or by analytical decomposition of the signal towards the localization of the spatial distribution of functional connectivity patterns. In general, studies are computationally costly and very sensitive to noise and preprocessing of data. In this paper we consider clustering by K-means as a exploratory procedure which can provide some results with little computational effort, due to efficient implementations that are readily available. We demonstrate the approach on a dataset of schizophrenia patients, finding differences between patients with and without auditory hallucinations.
Chance-Constrained Model Predictive Control Applied to Inventory Management in Hospitalary Pharmacy
Authors: Maestre Jose Maria  , Ocampo-Martinez Carlos
Published: February 2025

This extended abstract addresses the preliminary results of applying uncertainty handling strategies and advanced control techniques to the inventary management of hospitality pharmacy. Inventory management is one of the main tasks that a pharmacy department has to carry out in a hospital. It is a complex problem because it requires to establish a tradeoff between contradictory optimization criteria. The final goal of the proposed research is to update the inventory management system of hospitals such that it is possible to reduce the average inventory while maintaining preestablished clinical guarantees.
Adaptive OpenCL Computation Offloading Framework on Mobile Device
Authors: Valery Olivier  , Hung Wei-Shu  , Chou Ju-Cheng  , Liu Pangfeng  , Wu Jan-Jan
Published: February 2025

The rapid development of mobile technology and the emergence of cloud resources have freed the mobile user from the constraints due to the limited resources of their device. Since a decade ago, many efforts have been done in order to take advantage of these resources-rich cloud. One common approach is to offload computation from mobile devices to resourceful servers. Recently GPUs also have received a lot of attention from the scientific community. GPU is highly optimized for throughput and can be used to accelerate different types of applications.
A FEC Allocation Method for Unequal Loss Protection of H.264/AVC Videos Based on Macroblock Index
Authors: Wang Jung-Hung  , Wu Jian-Min  , Lin Chow-Sing
Published: February 2025

A variety of multimedia applications are becoming available on wireless networks nowadays. However, packet loss when transiting videos over wireless networks is inevitable, and leads to error propagation in information of subsequent frames and a decline in picture quality. To solve the problems, this paper proposes an estimation method based on the H.264/AVC codecs smallest units of encoding and decoding to provide unequal loss protection and to allocate forward error correction (FEC) packets. We propose a Frame Macroblock Error Propagation Index (FMEPI) estimation method to determine the importance of frames. Moreover, the impact of overall video quality of an importance index according to the FMEPI to allocate different number of FEC packets. Our simulation results show that the FMEPI estimation method produces better video reconstruction quality when packet loss occurs.
Implementation of Portal System of Online Tutoring for After School's Learning
Authors: Lin Che-Wun  , Chiang Yun-Yuag  , Lai Wei-Ru
Published: February 2025

Based on the policy to narrow the digital divide between urban and rural areas, Taiwan's Ministry of Education (MOE) launched “The Project of Online Tutoring for After School's Learning”, which recruits college students to tutor elementary and junior high school students in remote area by using the distant learning system. The project hopes to improve learning quality of students in rural, as well as balance the rural and urban digital resources and opportunities. After several-year operation of distant learning system, MOE wanted to provide students better studying environment in Internet and thus asked HGiga Inc. to redesign and reconstruct “The MOE Digital Portal of Study Partner”. Compared with old system, the new Portal had been moved in the MOE cloud adopts multi-tenant architecture, single sign-on system, and automatically duplicated/backup database system to provide cloudy applications and services. The web application system with the new portal system can provide scalability, fault tolerance, high availability with recover ability.
Health Informatics-Enabled Workflow Redesign and Evaluation
Authors: Eisenstein Eric L.  , Butler Keith A.
Published: February 2025

Although health information technologies frequently serve as critical workflow components, we currently lack validated methods for identifying how heath informatics can support workflow redesign and for evaluating redesign results. In this study, we describe how a previously developed business process redesign framework was adapted for health informatics-enabled workflow redesign and evaluation. We then demonstrate our methods using an emergency medicine case study.
A Pharmacy Inventory Management System in Saudi Arabia: A Case Study
Authors: Al Muallem Yahya  , Al Dogether Majed  , Al Assaf Rakan  , Al Ateeq Asma  , Househ Mowafa
Published: February 2025

The objective of this paper is to report on the preliminary findings of the implementation process of a pharmacy inventory management system at a local Saudi hospital. Meeting documents, key informant interviews, and experience of the researcher were part of the data collection sources used in the study. A thematic analysis of the data was conducted. Preliminary findings show that the implementation process of the pharmacy inventory management system needs the involvement and support of senior management and experienced technical expertise. Future research will focus on investigating the impacts of the pharmacy inventory management system on workflow and medication errors.
A Recommendation-based Mobile Web Application for Health Information Service
Authors: Wang Shu-Lin  , Kuo Mu-Hsing  , Shiu Yi-Shiang  , Huang Hsiu-Mei
Published: February 2025

Information overload and irrelevant information are major obstacles for drawing conclusions on the personal health status and taking adequate medical actions. The objective of this study is to design a recommendation-based mobile web application to assist patient efficiently search online health information at anytime, anywhere and via any devices. In the system, we use a collaborative filtering approach to recommend health information to users.
Why do We Need and How Can We Realize a Multi-Disciplinary Approach to Health Informatics?
Authors: Blobel Bernd  , Oemig Frank  , Lopéz Diego M.
Published: February 2025

Like no other area, health and social care are characterized by a multi-disciplinary nature. This development gets even stronger by the move towards a personalized, predictive, preventive and participative care paradigm as well as by organizational and technological changes leading to highly distributed care setting realized by multiple stakeholder communities from different policy domains. Those paradigm changes result in growing interoperability challenges when enabling communication and cooperation of all the different actors based on shared knowledge and skills. For meeting those challenges, a systems-oriented, architecture-centric, ontology-based and policy-driven approach in health informatics education, but also in modeling, implementing and maintaining health informatics interoperability is inevitable. The paper introduces the aforementioned concepts.
Long-Term Prefetching for Cloud Medical Imaging Repositories
Authors: Viana-Ferreira Carlos  , Matos Sérgio  , Costa Carlos
Published: February 2025

Healthcare institutions have been outsourcing their IT infrastructure to the cloud. This new paradigm has financial and technological advantages. However, it has also associated some important issues. In the medical imaging field, studies typically involve high volumes of data, leading to increased communication latency in remote access environments. In this context, this paper presents a long-term prefetching solution that dynamically adapts itself to institutional workflows and services. Evaluation tests show that the proposed solution significantly reduces the data access latency.
Toward a use case based classification of mobile health applications
Authors: Yasini Mobin  , Marchand Guillaume
Published: February 2025

Smartphones are growing in number and mobile health applications (apps) are becoming a commonly used way for improving the quality of health and healthcare delivery. Health related apps are mainly centralized in Medical and health&fitness categories in Google and Apple app stores. However, these apps are not easily accessible by the users. We decided to develop a system facilitating the access to these apps, to increase their visibility and usability. Various use cases for 567 health related apps in French were identified and listed incrementally. UML modeling was then used to represent these use cases and their relationships with each other and with the potential users of these apps. Thirty one different use cases were found that were then regrouped into six major categories: consulting medical information references, communicating and/or sharing the information, fulfilling a contextual need, educational tools, managing professional activities, health related management. A classification of this type would highlight the real purpose and functionalities of these apps and offers the user to search for the right app rapidly and to find it in a non-ambiguous context.
E-health stakeholders experiences with clinical modelling and standardizations
Authors: Gøeg Kirstine Rosenbeck  , Elberg Pia Britt  , Højen Anne Randorff
Published: February 2025

Stakeholders in e-health such as governance officials, health IT-implementers and vendors have to co-operate to achieve the goal of a future-proof interoperable e-health infrastructure. Co-operation requires knowledge on the responsibility and competences of stakeholder groups. To increase awareness on clinical modeling and standardization we conducted a workshop for Danish and a few Norwegian e-health stakeholders' and made them discuss their views on different aspects of clinical modeling using a theoretical model as a point of departure. Based on the model, we traced stakeholders' experiences. Our results showed there was a tendency that stakeholders were more familiar with e-health requirements than with design methods, clinical information models and clinical terminology as they are described in the scientific literature. The workshop made it possible for stakeholders to discuss their roles and expectations to each other.
Clinical Data Warehousing for Evidence Based Decision Making
Authors: Narra Lekha  , Sahama Tony  , Stapleton Peta
Published: February 2025

Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.
From IHE Audit Trails to XES Event Logs Facilitating Process Mining
Authors: Paster Ferdinand  , Helm Emmanuel
Published: February 2025

Recently Business Intelligence approaches like process mining are applied to the healthcare domain. The goal of process mining is to gain process knowledge, compliance and room for improvement by investigating recorded event data. Previous approaches focused on process discovery by event data from various specific systems. IHE, as a globally recognized basis for healthcare information systems, defines in its ATNA profile how real-world events must be recorded in centralized event logs. The following approach presents how audit trails collected by the means of ATNA can be transformed to enable process mining. Using the standardized audit trails provides the ability to apply these methods to all IHE based information systems.
Challenges of Stimulating a Market for Social Innovation – Provision of a National Health Account
Authors: Wass Sofie  , Vimarlund Vivian
Published: February 2025

Innovation in healthcare can be associated with social innovation and the mission to contribute to a shared value that benefits not only individuals or organizations but the society as a whole. In this paper, we present the prerequisites of stimulating a market for social innovations by studying the introduction of a national health account. The results show that there is a need to clarify if a national health account should be viewed as a public good or not, to clarify the financial responsibilities of different actors, to establish clear guidelines and to develop regulations concerning price, quality and certification of actors. The ambition to stimulate the market through a national health account is a promising start. However, the challenges have to be confronted in order for public and private actors to collaborate and build a market for social innovations such as a national health account.
Exploring Brand-Name Drug Mentions on Twitter for Pharmacovigilance
Authors: Carbonell Pablo  , Mayer Miguel A.  , Bravo Àlex
Published: February 2025

Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number and features of mentions on Twitter of drug brand names in order to explore the potential usefulness of the automated detection of drug side effects and drug-drug interactions on social media platforms such as Twitter. This information can be used for the development of predictive models for drug toxicity, drug-drug interactions or drug resistance. Taking into account the large number of drug brand mentions that we found on Twitter, it is promising as a tool for the detection, understanding and monitoring the way people manage prescribed drugs.
Development of Knowledge Profiles for International eHealth eLearning Courses
Authors: Herzog Juliane  , Sauermann Stefan  , Mense Alexander  , Forjan Mathias  , Urbauer Philipp
Published: February 2025

Professionals working in the multidisciplinary field of eHealth vary in their educational background. However, knowledge in the areas of medicine, engineering and management is required to fulfil the tasks associated with eHealth sufficiently. Based on the results of an analysis of national and international educational offers a survey gathering user requirements for the development of knowledge profiles in eHealth was conducted (n=75) by professionals and students. During a workshop the first results were presented and discussed together with the network partners and the attendees. The resulting knowledge profiles contain knowledge areas of all three thematic content categories including fundamentals of medical terminology, standards and interoperability and usability as well as basics of all three content categories. The knowledge profiles are currently applied in a master's degree programme at the UAS Technikum Wien and will be developed further.
New technologies applied to surgical processes: Virtual Reality and rapid prototyping
Authors: Suárez-Mejías Cristina  , Gomez-Ciriza Gorka  , Valverde Israel  , Parra Calderón Carlos  , Gómez-Cía Tomás
Published: February 2025

AYRA is software of virtual reality for training, planning and optimizing surgical procedures. AYRA was developed under a research, development and innovation project financed by the Andalusian Ministry of Health, called VirSSPA. Nowadays AYRA has been successfully used in more than 1160 real cases and after proving its efficiency it has been introduced in the clinical practice at the Virgen del Rocío University Hospital . Furthermore, AYRA allows generating physical 3D biomodels using rapid prototyping technology. They are used for surgical planning support, intraoperative reference or defect reconstruction. In this paper, some of these tools and some real cases are presented.
ADVISE: First Results of a European Interoperative Information System Network Developed for the ADenoVirus Initiative Study in Epidemiology
Authors: Toubiana Laurent  , Riquier Jérémie  , Duquesroix Brigitte
Published: February 2025

Adenoviral conjunctivitis is extremely contagious, causes a form of conjunctivitis. Therefore, it is important to identify patients who suffer from adenoviral conjunctivitis, as early as possible, in order to contain the disease. We present the 6 independent but interoperable platforms developed for the purpose of a large European epidemiologic study (ADVISE), which has been implemented independently in France, Germany, Spain, Italy and the UK. ADVISE is a non-interventional, observational epidemiology study with the objectives of assessing clinical characteristics and incidence of adenovirus conjunctivitis. One of the challenges faced in developing this network of European epidemiology platforms has been the multilingual context. Actually, we have established independent platforms fully dedicated to each of the participating countries. Similar protocols have been submitted across these countries, allowing individual and pooled analyses of the data. A standardized questionnaire is used to collect patient ocular medical history. The electronic questionnaire contains 151 items with automatic coherence control. The first platform ADVISE was set up in France. Development, evaluation and validation of this platform were carried out between January and July 2013. The Medical Informatics and Knowledge Engineering Laboratory (LIMICS), proposes through this project, a tool that allows the installation and application of epidemiologic monitoring in any part of the world.
Integrating Medical and Research Information: a Big Data Approach
Authors: Tilve Álvarez Carlos M.  , Ayora Pais Alberto  , Ruíz Romero Cristina  , Llamas Gómez Daniel  , Carrajo García Lino  , Blanco García Francisco J.  , Vázquez González Guillermo
Published: February 2025

Most of the information collected in different fields by Instituto de Investigación Biomédica de A Coruña (INIBIC) is classified as unstructured due to its high volume and heterogeneity. This situation, linked to the recent requirement of integrating it to the medical information, makes it necessary to implant specific architectures to collect and organize it before it can be analysed. The purpose of this article is to present the Hadoop framework as a solution to the problem of integrating research information in the Business Intelligence field. This framework can collect, explore, process and structure the aforementioned information, which allow us to develop an equivalent function to a data mart in an Intelligence Business system.
A Mobile Application to Manage and Minimise the Risk of Late Effects Caused by Childhood Cancer
Authors: Kock Ann-Kristin  , Kaya Rafiye  , Müller Christian  , Andersen Björn  , Langer Thorsten  , Ingenerf Josef
Published: February 2025

In their first 15 years of life, about 1 800 children are diagnosed with cancer each year in Germany. Their chances of survival, however, have improved significantly over the last 40 years. In Germany alone, over 30 000 survivors of childhood cancer are presently living. Therefore, the late effects caused by the therapy occur ever more frequently as chemotherapy and radiotherapy may leave traces even years later. In order to recognize and treat these late effects in survivors, structured and regular follow-up examinations are necessary from an early stage on. However, the compliance of former patients to participate in the recommended check-ups is not satisfying for multiple reasons. To enhance this compliance, an application for smartphones and tablets has been developed. The Aftercare App supplies a wide range of information regarding the aftercare and supports a reminder functionality to attend medical visits.
Privacy provision in eHealth using external services
Authors: Delgado Jaime  , Llorente Silvia
Published: February 2025

Privacy provision is a key issue for successful secure access to patients' health information. Current approaches do not always provide patients with the ability to define suitable rules to access to their information in a secure way. This paper presents an approach to give patients control over their information by means of external services. In this way, health information management and access control are kept independent and more secure.
How much does hyperkalemia lengthen inpatient stays? About methodological issues in analyzing time-dependant events
Authors: Chazard Emmanuel  , Dumesnil Choé  , Beuscart Régis
Published: February 2025

Adverse events may increase the hospital length of stay (LOS). As a consequence, computing the mean difference of LOS between two inpatient groups, with or without event, is a convenient way to evaluate their severity. Conversely, some adverse events are time-dependent: this leads to overestimate the consequences of the adverse event when statistical tests are performed. In this paper, we interest on hyperkalemia in the inpatient database of a community hospital (2% of the inpatient stays). The cumulated risk of hyperkalemia appears to be a linear function of the LOS. We compute the LOS difference associated with hyperkalemia by using 17 statistical methods. The raw LOS difference is 8.8 days, but the simulation finds a difference of 2.3 days, while the regressions (with linear or log link, with or without pairing, with or without propensity score) find a difference of 4.4 to 4.6 days. The characteristics of the methods are discussed, but it is not possible to know which one is true. However the raw difference seems to overestimate the truth. This methodological bias is quite frequent and is a challenge in public health, as it participates in false knowledge discovery, which could lead decision makers to focus on wrong issues and make wrong decisions.
A health analytics semantic ETL service for obesity surveillance
Authors: Poulymenopoulou M.  , Papakonstantinou D.  , Malamateniou F.  , Vassilacopoulos G.
Published: February 2025

The increasingly large amount of data produced in healthcare (e.g. collected through health information systems such as electronic medical records – EMRs or collected through novel data sources such as personal health records – PHRs, social media, web resources) enable the creation of detailed records about people's health, sentiments and activities (e.g. physical activity, diet, sleep quality) that can be used in the public health area among others. However, despite the transformative potential of big data in public health surveillance there are several challenges in integrating big data. In this paper, the interoperability challenge is tackled and a semantic Extract Transform Load (ETL) service is proposed that seeks to semantically annotate big data to result into valuable data for analysis. This service is considered as part of a health analytics engine on the cloud that interacts with existing healthcare information exchange networks, like the Integrating the Healthcare Enterprise (IHE), PHRs, sensors, mobile applications, and other web resources to retrieve patient health, behavioral and daily activity data. The semantic ETL service aims at semantically integrating big data for use by analytic mechanisms. An illustrative implementation of the service on big data which is potentially relevant to human obesity, enables using appropriate analytic techniques (e.g. machine learning, text mining) that are expected to assist in identifying patterns and contributing factors (e.g. genetic background, social, environmental) for this social phenomenon and, hence, drive health policy changes and promote healthy behaviors where residents live, work, learn, shop and play.
Client-side Medical Image Colorization in a Collaborative Environment
Authors: Virag Ioan  , Stoicu-Tivadar Lăcrămioara  , Crişan-Vida Mihaela
Published: February 2025

The paper presents an application related to collaborative medicine using a browser based medical visualization system with focus on the medical image colorization process and the underlying open source web development technologies involved. Browser based systems allow physicians to share medical data with their remotely located counterparts or medical students, assisting them during patient diagnosis, treatment monitoring, surgery planning or for educational purposes. This approach brings forth the advantage of ubiquity. The system can be accessed from a any device, in order to process the images, assuring the independence towards having a specific proprietary operating system. The current work starts with processing of DICOM (Digital Imaging and Communications in Medicine) files and ends with the rendering of the resulting bitmap images on a HTML5 (fifth revision of the HyperText Markup Language) canvas element. The application improves the image visualization emphasizing different tissue densities.
An Approach to Improve Medication Adherence by Smart Watches
Authors: Sailer Fabian  , Pobiruchin Monika  , Wiesner Martin  , Meixner Gerrit
Published: February 2025

Adherence is an important factor for the outcome of medical therapies. Several reminder applications to raise adherence have been developed, e.g., smart phone apps. Literature suggests that such solutions seem to be inefficient. In this paper, we discuss current research in the field of ultra-mobile devices, i.e., smart watches. In addition, we investigate on requirements of a smart watch-based medication reminder system and present an early prototype.