bluuebunny/crossref_metadata_2025 huggingface dataset:
SocialRAD: An Infrastructure for a Secure, Cooperative, Asynchronous Teleradiology System
Authors: Figueiredo João Filho Matos  , Motta Gustavo Henrique Matos Bezerra
Published: February 2025

The popularity of teleradiology services has enabled a major advance in the provision of health services to areas with difficult geographical access. However, this potential has also brought with it a number of challenges: the large volume of data, characteristic of imaging tests, and security requirements designed to ensure confidentiality and integrity. Moreover, there is also a number of ethical questions involving the dominant model on the market, whereby this service is outsourced to private companies, and is not directly undertaken by professional radiologists. Therefore, the present paper proposes a cooperative model of teleradiology, where health professionals interact directly with the hospitals providing patient care. This has involved the integration of a wide range of technologies, such as the interconnection models Peer-to-Peer, Cloud Computing, Dynamic DNS, RESTful Web Services, as well as security and interoperability standards, with the aim of promoting a secure, collaborative asynchronous environment. The developed model is currently being used on an experimental basis, providing teleradiology support to cities in the north-eastern hinterland of Brazil, and is fulfilling all expectations.
On Behavioral Decision Making and Mobile Health: A Case Study
Authors: Krishnan Divya  , Padman Rema
Published: February 2025

Principles and theories of behavioral decision-making (BDM) are applicable to any field, but they have special import for health care, where low-impact but repeated decisions can significantly affect quality of life. Unfortunately, limited research has focused on effective behavioral design for personal health management mobile apps. This paper addresses patient engagement approaches using the National e-Health Collaborative's “Patient Engagement Framework” and outlines specific implementations of behavioral decision theory to create an effective system for self-care.
Validation of Computerized Sniffer for Monitoring Perioperative Normothermia
Authors: Giri Jyothsna  , Li Man  , Pickering Brian  , Subramanian Arun  , Kor Daryl J.  , Herasevich Vitaly
Published: February 2025

Introduction: The World Health Organization sets a standard to maintain patient core temperature greater than 36°C throughout the perioperative period. Normothermia (defined as >36°C) in the Operating Room (OR) is an important factor to preventing complications in patients (MI, infection, coagulopathy). Randomized studies suggests that maintaining at higher temperatures may further reduce complications in surgery (less complications for group at 36.4°C than the control group at 36.0°C) [1,2]. Perioperative normothermia is an important but often unrecognized element during anesthesia. Early recognition of hypothermia would allow for appropriate interventions and prevent complications.
Ehealth Education for Future Clinical Health Professionals: An Integrated Analysis of Australian Expectations and Challenges
Authors: Dattakumar Ambica  , Gray Kathleen  , Maeder Anthony  , Butler-Henderson Kerryn
Published: February 2025

Australia is experiencing challenges in its health workforce profile to embrace reforms based on ehealth. Although there is much literature on the importance of ehealth education, our study shows that ehealth education for entry-level clinicians is not meeting the demands for a technologically savvy clinical health workforce. This poster reports on a nationally funded projectSupport for this project has been provided by the Australian Government Office for Learning and Teaching. The views in this project do not necessarily reflect the views of the Australian Government Office for Learning and Teaching.
Personalized Health Management Services Based on Personal Health Record (PHR)
Authors: Jung Eun Young  , Park Dong Kyun  , Kang Hyung Wook  , Lim Yong Su
Published: February 2025

Currently, the concept of medical information is changed from hospital to patients as importance of self-management rises. Medical information should be able to collect and manageable by users to satisfy right-to-know of consumer. As the number of smartphones increases, services using smartphones are increasing. An application named u-CARENote was developed by Gachon University Gil Medical Center based on PHR and individual genetic information to provide personalized content and self management service to chronic disease patients.
Student Perception on High-Fidelity Simulation during the Medical Clerkship
Authors: Brandão C.F.S.  , Collares C.F.  , Marin H.F.
Published: February 2025

The undergraduate medical students use high fidelity simulation associated with audio-visual resources in cardiology, trauma care and pediatrics during clerkship using scenarios consistent with knowledge and skills. The captured images are analyzed by all students as well as the facilitator to conduct the debriefing. Through a closed questionnaire students' perception were explored related to the use of this technology. We obtained positive results that support more investments to assure better performance to promote safety.
Evaluation of Electronic Medical Records for Ophthalmology Based on Changes in Staff Work Through Introduction of Electronization
Authors: Wakamiya Shunji  , Yamauchi Kazunobu
Published: February 2025

There have been no previous reports regarding changes in detailed staff work through electronization in ophthalmology. The efficiency of electronization in ophthalmology was investigated based on the changes in detailed staff work with the introduction of electronic medical records. Inspections and training performed by orthoptists consisted of 88 items. There were 59 items in medical examinations and treatment performed by nurses. Medical examinations and treatments performed by doctors consisted of 32 items. There were 21 items in office work performed by clerks. In total, the efficiency of staff work increased after introduction of electronic medical records for all occupational descriptions. Orthoptists and doctors showed the greatest increases in efficiency.
A Novel Approach to Generating CER Hypotheses based on Mining Clinical Data
Authors: Zhang Shuo  , Li Lin  , Yu Yiqin  , Sun Xingzhi  , Xu Linhao  , Zhao Wei  , Teng Xiaofei  , Pan Yue
Published: February 2025

Comparative effectiveness research (CER) is a scientific method of investigating the effectiveness of alternative intervention methods. In a CER study, clinical researchers typically start with a CER hypothesis, and aim to evaluate it by applying a series of medical statistical methods. Traditionally, the CER hypotheses are defined manually by clinical researchers. This makes the task of hypothesis generation very time-consuming and the quality of hypothesis heavily dependent on the researchers' skills. Recently, with more electronic medical data being collected, it is highly promising to apply the computerized method for discovering CER hypotheses from clinical data sets. In this poster, we proposes a novel approach to automatically generating CER hypotheses based on mining clinical data, and presents a case study showing that the approach can facilitate clinical researchers to identify potentially valuable hypotheses and eventually define high quality CER studies.
An Ontology Design for Visualizing Implicit Knowledge of the Radiotherapy Risk
Authors: Tsuji Shintaro  , Fukuda Akihisa  , Yagahara Ayako  , Homma Katsumi  , Nishimoto Naoki  , Uesugi Masahito  , Ogasawara Katsuhiko
Published: February 2025

Knowledge sharing of radiotherapy risk contributes to keep the safety practice between the oncologists, medical physicists, and therapists. But the mechanisms of risks tend to complex because of its diversities. Recently, an ontological analysis is tried to share knowledge in the various domains. Therefore, the aim of this study is to construct Radiotherapy Risk Ontology (RRO) and clarify the implicit structures of risks towards knowledge sharing. The method of this study is below. First, the classes and relations were extracted from the risk categorization of the publications. Second, these classes and relationships were connecting and mapping by the ontology editor. Third, the total relationships of classes were verified using paired comparison chart. This paper distinguishes between publication-oriented relationships and the other relationships. And these relationships was defined the explicit and implicit relationships. RRO was constructed 789 classes and 14 types of the explicit relationships. The 22 types of the implicit relationships were clarified using paired comparison. RRO provided the conceptual mapping and the implicit knowledge. The result of this study assisted the knowledge sharing.
Using a Single Content Model for eHealth Interoperability and Secondary Use
Authors: Atalag Koray
Published: February 2025

This chapter describes a middle-out approach to eHealth interoperability, with strong oversight on public health and health research, enabled by a uniform and shared content model to which all health information exchange conforms. As described in New Zealand's Interoperability Reference Architecture, the content model borrows its top level organization from the Continuity of Care Record (CCR) standard and is underpinned by the openEHR formalism. This provides a canonical model for representing a variety of clinical information, and serves as reference when determining payload in health information exchange. The main premise of this approach is that since all exchanged data conforms to the same model, interoperability of clinical information can readily be achieved. Use of Archetypes ensures preservation of clinical context which is critical for secondary use. The content model is envisaged to grow incrementally by adding new or specialised archetypes as finer details are needed in real projects. The consistency and long term viability of this approach critically depends on effective governance which requires new models of collaboration, decision making and appropriate tooling to support the process.
National Healthcare Systems and the Need for Health Information Governance
Authors: Hovenga Evelyn J.S.
Published: February 2025

This chapter gives an overview of health data, information and knowledge governance needs and associated generic principles so that information systems are able to automate such data collections from point-of-care operational systems. Also covered are health information systems' dimensions and known barriers to the delivery of quality health services, including environmental, technology and governance influences of any population's health status within the context of national health systems. This is where health information managers and health informaticians need to resolve the many challenges associated with eHealth implementations where data are assets, efficient information flow is essential, the ability to acquire new knowledge desirable, and where the use of data and information needs to be viewed from a governance perspective to ensure reliable and quality information is obtained to enhance decision making.
Issues of Data Governance Associated with Data Mining in Medical Research: Experiences from an Empirical Study
Authors: Nahar Jesmin  , Imam Tasadduq  , Tickle Kevin S.  , Garcia-Alonso Debora
Published: February 2025

This chapter is a review of data mining techniques used in medical research. It will cover the existing applications of these techniques in the identification of diseases, and also present the authors' research experiences in medical disease diagnosis and analysis. A computational diagnosis approach can have a significant impact on accurate diagnosis and result in time and cost effective solutions. The chapter will begin with an overview of computational intelligence concepts, followed by details on different classification algorithms. Use of association learning, a well recognised data mining procedure, will also be discussed. Many of the datasets considered in existing medical data mining research are imbalanced, and the chapter focuses on this issue as well. Lastly, the chapter outlines the need of data governance in this research domain.
Health Data and Data Governance
Authors: Hovenga Evelyn J.S.  , Grain Heather
Published: February 2025

Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, “Big Data”, provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information.
Information Gaps in Reporting Patient Falls: the Challenges and Technical Solutions
Authors: Hua Lei  , Gong Yang
Published: February 2025

The emerging computerized system for patient safety event reporting eases the course of learning from medical errors and adverse events for a safer healthcare environment. To a medical event like patient falls, the course usually involves pre, during and post stages for the prediction, reporting and solution of the event. However, the reporting stage often separates from the other two stages for risk assessment and cause analysis. As this iterative flow of actions falls apart and becomes unintelligible or intangible due to information gaps, it is dubious for users to join and complete the task at all three stages in a high quality. Therefore, in this paper, by referencing studies in aspects of Norman' s task action theory and fall management programs, we proposed a gap-bridging model to describe the process of assisting users in proceeding along the stages by user-centered design approaches. Based upon the model, we also developed a series of interface artifacts served as gap-bridging features, which hold promise in improving the quality of reporting and reporter engagement of the system.
Personal Information Markets and Privacy: A New Model to Solve the Controversy
Authors: Novotny Alexander  , Spiekermann Sarah
Published: February 2025

From the earliest days of the information economy, personal data has been its most valuable asset. Despite data protection laws, companies trade personal information and often intrude on the privacy of individuals. As a result, consumers feel that they do not have control, and lose trust in electronic environments. Technologists and regulators are struggling to develop solutions that meet the demands of business for more personal information while maintaining privacy. However, no promising proposals seem to be in sight. We propose a 3-tier personal information market model with privacy. In our model, clear roles, rights and obligations for all actors re-establish trust. The ‘relationship space’ enables data subjects and visible business partners to build trusting relationships. The ‘service space’ supports customer relationships with distributed information processing. The ‘rich information space’ enables anonymized information exchange. To transition to this model, we show how existing privacy-enhancing technologies and legal requirements can be integrated.
Improved Engineering Design Strategy Applied to Prosthesis Modelling
Authors: Greboge Thiago  , Rudek Marcelo  , Jahnen Andreas  , Canciglieri Júnior Osiris
Published: February 2025

The prosthesis design is a delicate and accurate engineering task that can be automated in the early steps before manufacturing. The challenge of the creation of the biomedical model is the complexity of the geometrical modelling as we have to deal with natural shapes. The representation of the human bones in terms of machining parameters the bottleneck in the design of complex products, and concurrent procedures can aid in this task. This work addresses the design requirements in order to build an anatomical skull prosthesis piece in the Computed Aided Design (CAD) systems. A novel methodology based on ellipse adjustment has been investigated in order to define the manufacture parameters. In geometric terms an ellipse seems with the bone's border shape in a Computed Tomography (CT) slice. The arc that fills the correspondent failure in the bone border is extracted from the respective adjusted ellipse to each CT slice and the set of those extracted arcs can be superimposed to define the stack of images to build a 3D CAD model. Evolutionary Algorithms were also applied to improve the quality of data generated. A prototype was implemented by an open source Java based tool (ImageJ) in order to create synthetic defects to simulate problems in the 3D virtual skull model. In context of product development this approach brings an essential integration between design and manufacturing process to reduce the elapse time among the medical procedure, modelling and machining.
Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients
Authors: Zecchin Chiara  , Facchinetti Andrea  , Sparacino Giovanni  , Cobelli Claudio
Published: February 2025

Prediction of biological time series is important in chronic pathologies to allow prevention of health threatening events. In type 1 diabetes several real-time short-term prediction methods, based on time-series modeling of past continuous glucose monitoring (CGM) sensor data, have been proposed with the aim of generating preventive alerts to mitigate hypo/hyperglycemia. Even if scarcely explored, neural network (NN) approaches are promising given their ability of learning nonlinear functions easily integrating, among their inputs, signals of different nature. In this contribution we describe a jump NN predictor (horizon 30 min) that uses past CGM data and information on ingested carbohydrates. The algorithm is optimized on data of 10 type 1 diabetics and assessed on 10 different subjects. Prediction is accurate and give an anticipation sufficient to potentially avoid risky events.
Analysing the Mutual Influences between Spatial Distribution and Thermal Performance of Tropical Contemporary Brazilian Dwellings
Authors: Braga Nathália  , De Saboya Renato T.
Published: February 2025

This paper presents a study, through simulation tools, EnergyPlus and Depthmap, of the relation between thermal comfort and spatial patterns, respectively. The sample of dwellings analysed, representative of contemporary architecture in Natal-Brazil, was chosen in order to study how room distribution within a residence relates to the performance of natural ventilation, a common bioclimatic strategy in tropical regions. Main results show that high spatial integration and connectivity have an influence on the cost of air conditioning.
Complexity Theory, Urban Configuration and Residential Segregation. A Study of the Link between Transformation of the Residential Segregation and Urban Configuration in Rotterdam, the Netherlands
Authors: Mashhoodi Bardia
Published: February 2025

This paper examines the relationship between two dynamic urban processes: residential spatial segregation and the configuration of the urban network. It does so from the perspective of complexity theories of cities (CTC). Past CTC studies have concentrated on each of the above two processes separately; either on the dynamics of residential segregation as an outcome of agents' segregation tendencies, for instance, or on the study of the urban network. This study is thus innovative in its attempt to look at the interdependencies between these two urban processes. In the first place it does this theoretically, in the second in relation to the case study of the city of Rotterdam.
Experiments in cross-cultural urban morphology
Authors: Conzen Michael
Published: February 2025

Comparative studies in urban morphology based on systematic methods represent an underdeveloped branch of the field. The challenge is increased when comparisons are attempted not just across different areas within a country or region, but across cultural boundaries and across time. While the field is full of single-city case studies – and surely there remains a multitude of unstudied cities around the globe that deserve in-depth individual analysis – there is also a pressing need for comparative investigations to establish the broad patterns worldwide of similarity and difference, evolution and devolution, convergence and divergence in urban morphological dynamics and character. This paper does not claim to offer a comprehensive program for comparative studies in urban morphology, but it does attempt to demonstrate some systematic methods that can yield useful measures of similarity and difference across selected cultural divides. A possible framework for comparative urban morphology is presented, within which selected issues are explored with reference to personal work done in Italy, Brazil, China, Russian Alaska, and the continental United States.
The changing state of the Dutch delta
Authors: Meyer Han
Published: February 2025

The spatial structure of the Randstad Holland is strongly related to the policy concerning hydraulic engineering in the Netherlands. Both, Randstad Holland and the large hydraulic works, can be considered as part of the ‘modern project’ of the Netherlands, undertaken in the nineteenth and twentieth centuries. This modern project aimed to upgrade the Netherlands as a modern welfare state, based upon an industrial economy and agricultural autonomy, and fitting in a coherent policy of the nation-state.
A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure
Authors: Gaggioli Andrea  , Cipresso Pietro  , Serino Silvia  , Pioggia Giovanni  , Tartarisco Gennaro  , Baldus Giovanni  , Corda Daniele  , Ferro Marcello  , Carbonaro Nicola  , Tognetti Alessandro  , De Rossi Danilo  , Giakoumis Dimitris  , Tzovaras Dimitrios  , Riera Alejandro  , Riva Giuseppe
Published: February 2025

Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.
Design and Development of Low-Cost Tissue Replicas for Simulation of Rare Neonatal Congenital Defects
Authors: Hawkinson Ellen K.  , Davis Lauren M.  , Barsness Katherine A.
Published: February 2025

Studies have shown that simulation can be a valuable tool for training pediatric surgeons to perform thoracoscopic repair of rare congenital anomalies [1–3]. The previously evaluated models were high fidelity, hybrid models that required the use of fetal bovine or porcine tissue blocks within a simulated neonate chest cavity. Real tissue blocks can be expensive, and may not be readily available in some parts of the world. We have developed low-cost, portable simulators for esophageal atresia with tracheoesophageal fistula (EA/TEF) and duodenal atresia (DA) that recreate the 3-dimensional challenges for minimally invasive repair. These are fully simulated models of the thoracic and abdominal cavities containing synthetic tissue that replicates the required anatomy.
A Matrix Lie Group Approach to Statistical Shape Analysis of Bones
Authors: Hefny Mohamed S.  , Rudan John F.  , Ellis Randy E.
Published: February 2025

Statistical shape models using a principal-component analysis are inadequate for studying shapes that are in non-linear manifolds. Principal tangent components use a matrix Lie group that maps a non-linear manifold to a corresponding linear tangent space. Computations that are performed on the tangent space of the manifold use linear statistics to analyze non-linear shape spaces. The method was tested on bone surface from proximal femurs. Using only three components, the new model recovered 94% of the medical dataset, whereas a conventional method that used linear principal components needed 24 components to achieve the same reconstruction accuracy.
Touch-Free, Gesture-Based Control of Medical Devices and Software Based on the Leap Motion Controller
Authors: Mauser Stanislas  , Burgert Oliver
Published: February 2025

There are several intra-operative use cases which require the surgeon to interact with medical devices. We used the Leap Motion Controller as input device and implemented two use-cases: 2D-Interaction (e.g. advancing EPR data) and selection of a value (e.g. room illumination brightness). The gesture detection was successful and we mapped its output to several devices and systems.
Visualization of Tissue Removal using Focus + Context Techniques
Authors: Radeva Nadezhda  , Hahn James
Published: February 2025

Current dataset visualizations have limited capability of allowing users to remove only small regions of the dataset and inspect the remaining volume. We have developed a new visualization based on the focus + context paradigm to provide users with a 3D volume or 2D slice rendering of regions that are marked as arbitrary-shaped focus and shown as drilled-out. A novel way of computing whether the rays traversing the dataset fall within the drilled-out region results in an accurate rendering of the sculpted context dataset. A user study showed that the new visualization improves accuracy and speed in tissue removal tasks.
Real-Time Haptic Cutting of High-Resolution Soft Tissues
Authors: Wu Jun  , Westermann Rüdiger  , Dick Christian
Published: February 2025

We present our systematic efforts in advancing the computational performance of physically accurate soft tissue cutting simulation, which is at the core of surgery simulators in general. We demonstrate a real-time performance of 15 simulation frames per second for haptic soft tissue cutting of a deformable body at an effective resolution of 170,000 finite elements. This is achieved by the following innovative components: (1) a linked octree discretization of the deformable body, which allows for fast and robust topological modifications of the simulation domain, (2) a composite finite element formulation, which thoroughly reduces the number of simulation degrees of freedom and thus enables to carefully balance simulation performance and accuracy, (3) a highly efficient geometric multigrid solver for solving the linear systems of equations arising from implicit time integration, (4) an efficient collision detection algorithm that effectively exploits the composition structure, and (5) a stable haptic rendering algorithm for computing the feedback forces. Considering that our method increases the finite element resolution for physically accurate real-time soft tissue cutting simulation by an order of magnitude, our technique has a high potential to significantly advance the realism of surgery simulators.
Smart Dry Lab: An Augmented Reality (AR) Based Surgical Training Box
Authors: Yamauchi Yasushi
Published: February 2025

Smart Dry Lab (SDL) is a low-cost, AR-based surgical training box, using the ARToolKit API. This is an add-on function for existing surgical training box, which enables quantitative evaluation of forceps maneuver and simulation of soft tissue deformation. In this paper we demonstrate functionality of our prototype system.
Constraint-Based Simulation for Non-Rigid Real-Time Registration
Authors: Courtecuisse Hadrien  , Peterlik Igor  , Trivisonne Raffaella  , Duriez Christian  , Cotin Stéphane
Published: February 2025

In this paper we propose a method to address the problem of non-rigid registration in real-time. We use Lagrange multipliers and soft sliding constraints to combine data acquired from dynamic image sequence and a biomechanical model of the structure of interest. The biomechanical model plays a role of regularization to improve the robustness and the flexibility of the registration. We apply our method to a pre-operative 3D CT scan of a porcine liver that is registered to a sequence of 2D dynamic MRI slices during the respiratory motion. The finite element simulation provides a full 3D representation (including heterogeneities such as vessels, tumor,...) of the anatomical structure in real-time.
A Vital Signs Telemonitoring System – Interoperability Supported by a Personal Health Record Systema and a Cloud Service
Authors: Gutiérrez Miguel F.  , Cajiao Alejandro  , Hidalgo José A.  , Cerón Jesús D.  , López Diego M.  , Quintero Víctor M.  , Rendón Álvaro
Published: February 2025

This article presents the development process of an acquisition and data storage system managing clinical variables through a cloud storage service and a Personal Health Record (PHR) System. First, the paper explains how a Wireless Body Area Network (WBAN) that captures data from two sensors corresponding to arterial pressure and heart rate is designed. Second, this paper illustrates how data collected by the WBAN are transmitted to a cloud storage service. It is worth mentioning that this cloud service allows the data to be stored in a persistent way on an online database system. Finally, the paper describes, how the data stored in the cloud service are sent to the Indivo PHR System, where they are registered and charted for future revision by health professionals. The research demonstrated the feasibility of implementing WBAN networks for the acquisition of clinical data, and particularly for the use of Web technologies and standards to provide interoperability with PHR Systems at technical and syntactic levels.
Design and Implementation of a Personal Health Record System for Diabetes Mellitus Type 2 Monitoring
Authors: Cerón Jesús D.  , Gutiérrez Miguel F.  , Gómez Guillermo  , López Diego M.  , Álvarez Rosa E.  , González Carolina  , Sierra-Torres Carlos H.
Published: February 2025

The objective of this paper is to describe the design and implementation of a Personal Health Record System (PHR-S) for supporting monitoring of blood glucose in diabetes mellitus type 2 patients. The paper describes a survey applied in order to elicit the specific ICT needs of Diabetes Mellitus Type 2 patients. Based on the requirements, a web application “GlucoseDataManager” was implanted and integrated into a local deployed IndivoHealth PHR-S platform.
Smart Systems and Personalized Health: The Real Challenge of Bridging the Innovation Gap
Authors: Lymberis Andreas
Published: February 2025

Smart miniaturized systems, emerging from the integration of heterogeneous technologies like micro- and nano electronics, photonics, biotechnology, materials and information & communication technologies are considered today, after two decades of intensive public support, proven concepts and functional prototypes, as key enablers opening up new opportunities for healthcare and in particular personalized health. They offer an enhanced ability to sense, detect, analyze, communicate, respond, and monitor phenomena from macro (e.g. body, tissues) to nano scale (e.g. molecules, genes). For the majority of these projects, planning for the next phase of prototype validation, product design, supply chain, user targeting, clinical validation and commercial roll-out are now taking full attention. The new EU Framework Program for Research and Innovation, Horizon 2020, is focusing on technology transfer support and building ecosystems and value chains to ensure better time to market and higher impact of knowledge-based technologies. The state-of-the-art and upcoming challenges for the implementation of H2020 and new opportunities in smart systems for pHealth are discussed in the paper.
Conceptual Model Formalization in a Semantic Interoperability Service Framework: Transforming Relational Database Schemas to OWL
Authors: Bravo Carlos  , Suarez Carlos  , González Carolina  , López Diego  , Blobel Bernd
Published: February 2025

Healthcare information is distributed through multiple heterogeneous and autonomous systems. Access to, and sharing of, distributed information sources are a challenging task. To contribute to meeting this challenge, this paper presents a formal, complete and semi-automatic transformation service from Relational Databases to Web Ontology Language. The proposed service makes use of an algorithm that allows to transform several data models of different domains by deploying mainly inheritance rules. The paper emphasizes the relevance of integrating the proposed approach into an ontology-based interoperability service to achieve semantic interoperability.
Reflection/Transmission Study of Two Fabrics with Microwave Properties
Authors: Ödman Torbjörn  , Lindén Maria  , Larsson Christer
Published: February 2025

In this study, the transmission and reflection of two conductive fabrics are investigated in the frequency range from 2 to 18 GHz. One of the fabrics is a non-woven polypyrrole, and the other consists of a polyethylene warp with steel threads in the weft. Reflection and transmission measurements are performed in order to characterize the electromagnetic properties of the materials. Reflection measurements are performed for two polarizations at normal, 0°, and 60° incident angles. Transmission measurements are also done for two polarization directions at normal incidence. The results show that the fabric with the steel filler reflects most of the incident radiation, and has very low transmission with some polarization dependence. The polypyrrole non-woven fabric, on the other hand, has reflection and transmission properties that show that it is absorbing the incident radiation. Wearable on-body sensors that in addition are comfortable to wear can be integrated in the textile of clothes. These sensors can e.g., be used to monitor health or analyze gait. The fabrics have the potential to be used in health applications when designing on-body sensors, e.g. for movement analysis.
Transferring Learning to Practice with e-Learning – Experiences in Continuing Education in the Field of Ambient Assisted Living
Authors: Illiger Kristin  , Egbert Nicole  , Krückeberg Jörn  , Stiller Gerald  , Kupka Thomas  , Hübner Ursula  , Behrends Marianne
Published: February 2025

The article describes an analysis of the use of e-learning to improve the learning transfer to practice in continuing education. Therefore an e-learning offer has been developed as a part between two attendance periods of a training course in the field of Ambient Assisted Living (AAL). All participants of the course were free to use the e-learning offer. After the end of the e-learning part we compared the e-learning users to the other participants. Using an online questionnaire we explored if there are differences in the activities in the field AAL after the training course. The results show that e-learning is beneficial especially for communication processes. Due to the fact that the possibility to talk about the learning content is an essential factor for the learning transfer, e-learning can improve the learning success.
Towards a Global IT System for Personalized Medicine: the Medicine Safety Code Initiative
Authors: Samwald Matthias  , Minarro-Giménez José Antonio  , Blagec Kathrin  , Adlassnig Klaus-Peter
Published: February 2025

The availability of pharmacogenomic data of individual patients can significantly improve physicians' prescribing behavior, lead to a reduced incidence of adverse drug events and an improvement of effectiveness of treatment. The Medicine Safety Code (MSC) initiative is an effort to improve the ability of clinicians and patients to share pharmacogenomic data and to use it at the point of care. The MSC is a standardized two-dimensional barcode that captures individual pharmacogenomic data. The system is backed by a web service that allows the decoding and interpretation of anonymous MSCs without requiring the installation of dedicated software. The system is based on a curated, ontology-based knowledge base representing pharmacogenomic definitions and clinical guidelines. The MSC system performed well in preliminary tests. To evaluate the system in realistic health care settings and to translate it into practical applications, the future participation of stakeholders in clinical institutions, medical researchers, pharmaceutical companies, genetic testing providers, health IT companies and health insurance organizations will be essential.
Development of an Accommodative Smartphone App for Medical Guidelines in Pediatric Emergencies
Authors: Schmucker Michael  , Heid Jörn  , Haag Martin
Published: February 2025

One of the outcomes of a training concept for physicians and nurses concerning pediatric emergencies at the Heidelberg University Hospital was that the work and procedures in childhood emergencies could be simplified by replacing the existing paper-based guidelines with a smartphone app. Since the project funds for this were already used up, a group of students from the master program “Medical Informatics” of Heidelberg and Heilbronn Universities took over the development of the app. Particular attention was given to the need for compatibility with the variety of devices (device size and screen resolution) and platform independence. The guidelines themselves were scripted in HTML5, JavaScript and CSS (responsive web design); managed by a container programmed in Sencha Touch. Even though the app is not yet available in the App-Store due to the limited timeframe, the students gained a great deal of valuable experience in developing platform independent software for mobile devices.
Automation of Laser Tracking in the Presence of an Additional Signal by means of Neural Networks
Authors: Devrelis V.  , Day G.
Published: February 2025

The position tracking of laser beams or laser spots at a distance is often achieved with the aid of a four quadrant detector. Such systems are used to detect and track pulsed laser radiation. The tracking system is capable of determining the position error of a received pulse and then to realign the quadrant detector centre. The purpose of this study was to test a position predicting algorithm, which used a neural network to track a signal in the presence of an additional signal and noise. The model was constructed using both simulated and experimentally obtained data from a quadrant detector. The results show that automated tracking of a single spot was possible but tracking of the spot in the presence of an additional signal required re-evaluation of weights in the neural network model.
A new paradigm for the scientific article
Authors: Weilenmann Anne-Katharina
Published: February 2025

Information overload is a great problem for the scientific community. To deal with the abundance of new scientific articles there are methods of sophisticated information retrieval tools and text mining tools. Little is known about the relationship between document structure and the structure of thought. This paper describes a project in this matter.
Similarity between text and RDF
Authors: Schiessl Marcelo  , Berardi Rita  , Bräscher Marisa
Published: February 2025

Recently, sources of structured and unstructured data have been made available on the web, and gained attention among researchers from several areas. They are become more interested in using this global dataset due to its size and variety of information. In the Semantic Web field, many studies have translated structured data into unstructured data, and vice-versa, to make them comprehensible to machines and humans. However, we argue that we can take advantage of the existing information, in both text and RDF format. In this paper we focus on finding a way to compare them, and discovering which available text can represent an existing RDF. Hence, we propose a strategy to check whether a text represents the same knowledge that is shown in RDF format.
Promoting Meaningful Use of Health Information Technology in Israel: Ministry of Health Vision
Authors: Gerber Ayala  , Topaz Maxim (Max)
Published: February 2025

The Ministry of Health (MOH) of Israel has overall responsibility for the healthcare system. In recent years the MOH has developed strong capabilities in the areas of technology assessment and prioritization of new technologies. Israel completed the transition to computerized medical records a decade ago in most care settings; however, the processes in Israel was spontaneous, without government control and standards settings, therefore large variations among systems and among organizations were created. Currently, the main challenge is to convert the information scattered in different systems, to organized, visible information and to make it available to various levels in health management. The MOH's solution is of implementing a selected information system from a specific vendor, at all the hospitals and all HMO's clinics, in order to achieve interoperability. The sys-tem will enable access to the patient's medical record history from any location.
Exploring Factors Related to the Adoption and Acceptance of an Internet-based Electronic Personal Health Management Tool (EPHMT) in a Low Income, Special Needs Population of People Living with HIV and AIDS in New York City
Authors: Odlum Michelle  , Gordon Peter  , Camhi Eli  , Valdez Esmerlin  , Bakken Suzanne
Published: February 2025

Access to personal health information assists efforts to improve health outcomes and creates a population of active and informed health consumers. Understanding this significance, Healthy People 2020 retained, as a Focus Area, the need for improved interactive Health Communication and HIT. Attainment of this goal includes increasing the use of Internet-based electronic personal health management tools (EPHMT). Health information management, essential for favorable health outcomes, can be problematic in low income, special needs populations with complex chronic illnesses such as HIV/AIDS. Furthermore, barriers to the adoption and acceptance of an EPHMT in such populations have not been well explored. The current study seeks to explore the usability of an EPHMT entitled MyHealthProfile and to identify perceived health information needs in a vulnerable population of people living with HIV and AIDS (PLWH) that have access to an EPHMT through their Medicaid Special Needs Plan.
Building a Common Ground on the Clinical Case: Design, Implementation and Evaluation of an Information Model for a Handover EHR
Authors: Flemming Daniel  , Paul Mareike  , Hübner Ursula
Published: February 2025

Handovers need a common ground on the clinical cases between the members of the successive shifts to establish continuity of care. Conventional electronic patient record systems (EHR) proved to be only insufficiently suitable for supporting the grounding process. Against this background we proposed a basic concept for a handover EHR that extends general EHRs in particular openEHR based systems. The resulting handover information model was implemented in a database and evaluated based on 120 clinical cases. The information items of these cases could be mapped successfully to the model, however, the new class “anticipatory guidance” needed to be introduced. The evaluation also demonstrated the importance of highly aggregated information on the clinical case, opinions and meta-information such as the relevance of an item during handovers. Based on these findings, in particular the handover database, handover EHR applications are currently developed to support the grounding process.
Improving the Coordination of Patients' Medication Management: A Regional Finnish Development Project
Authors: Kivekäs Eija  , Luukkonen Irmeli  , Mykkänen Juha  , Saranto Kaija
Published: February 2025

In this paper, we present an overview of activities and results from a regional development project in Finland. The aim in this project was to analyze how healthcare providers produce and receive information on a patient's medication, and to identify opportunities to improve the quality, effectiveness, availability and collaboration of social and healthcare services in relation to medication information. The project focused on the most important points in patients' medication management such as home care and care transitions. In a regional development project, data was gathered by interviews and a multi professional workshop. The study revealed that medication information reached only some professionals and lay caregivers despite electronic patient record (EPR) systems and tools. Differences in work processes related to medication reconciliation and information management were discussed in the group meeting and were regarded as a considerable risk for patient safety.
Developing Mobile Support System for Dynamic Integrated Community-Based Screening
Authors: Weng Wei Kai  , Chang Polun
Published: February 2025

Screening evaluations can effectively detect unrecognized health problems in individuals. Current integrated community-based multiple screening manually fill out handwritten forms. The motivation of the system developed in this study is to provide a method for participants to quickly fill out community health screening questionnaire prior to participating in the screening event. This study is divided into two stages: 1. System development and design compatible with the needs of elderly users, planning and creation of system architecture based on the requirements of the community-based integrated screening questionnaire; 2. System evaluation: provide the created App to users for evaluation of user satisfaction. The system prototype design includes the use of “3+1 hierarchical grid interface design”, incorporating all the questions in the community screening survey and the details on interface design takes note of the needs of elderly users, the questionnaire used is a 5-point Likert scale. Assessment results: overall score of 4.12±0.31 leaning towards “Agree” with perceived usefulness having the highest score (4.32±0.17), second being reliability (4.17 ± 0.1), followed in order by satisfaction (4.14 ± 0.0), perceived ease of use (4.07 ± 0.21), learnability (4.0 ± 0.07), and acceptance (3.79 ± 0.81). Based on these results, the participants held a positive attitude towards the system.