bluuebunny/crossref_metadata_2025 huggingface dataset:
MATHMASTER: an Alternative Math Word Problems Translation
Authors: Supap Wanintorn  , Naruedomkul Kanlaya  , Cercone Nick
Published: February 2025

We proposed the MATHMASTER approach that was designed to help students to gradually develop their skills required in solving math word problems. MATHMASTER automatically performs the translation from math word problem into an appropriate equation by taking into account the relationship between natural language and math concepts both in structure and semantics. The MATHMASTER system was implemented based on the MATHMASTER approach to translate word problems collected from many published mathematics practice books and primary school textbooks. MATHMASTER was designed to support individual learning and understanding of word problem solving through step by step instructions. Students can practice word problem solving at their own pace and enhance their word problem solving skill. The MATHMASTER system was tested and evaluated in terms of translation accuracy, usability of MATHMASTER in education, and user satisfaction. The evaluation results show that the translation accuracy is acceptable, MATHMASTER can be used to facilitate student's learning, and it satisfies the users' needs.
Granules for Learning Behavior
Authors: Sonamthiang Sumalee  , Naruedomkul Kanlaya  , Cercone Nick
Published: February 2025

This chapter presents an innovative approach to discover granular learning behavior patterns of students learning interactions with an intelligent tutoring system (ITS). The approach is domain independent and able to manage learning behavior uncertainty. An N-gram analysis is used to model the learning behavior from the learning action streams to obtain regular and irregular learning behavior patterns. Then, the N-gram models are clustered into a hierarchy using a rough set-based map granule. The hierarchical pattern can be used to improve the domain knowledge of an ITS in predicting student's actions, sequencing problems to be solved, and adjusting hint mechanisms.
Proposal of a method of problem-posing and a system that assists to manage problems and assist peer evaluation
Authors: Shimada Shinya  , Kunimune Hisayoshi  , Niimura Masaaki
Published: February 2025

This paper describes a method for problem-posing and proposes a system for assisting to operate the method. It is important for students to pose diverse problems, although posing diverse problems is difficult. In the proposed method, the students pose problems by modifying examples provided by the teacher, and they evaluate posed problems by peer on the basis of the diversity of situations and solution. Evaluations behave as opportunities for the students to consider the diversity of problems. According to the experimental result, the effect of the method is confirmed.
Estimating the Care with which Notes are Written from Online Handwritten Character Data
Authors: Miura Motoki  , Akase Shun  , Toda Takamichi
Published: February 2025

In our previous work, we developed AirTransNote, a student note-sharing system that facilitates collaborative and interactive learning during regular lectures in conventional classrooms. Because taking notes on paper is a regular activity, our system does not impose an extra burden on students who share notes. However, in order to improve the effectiveness of sharing notes on peer learning, students need to improve the presentation of their handwritten notes, because carefully written notes are more accessible for other students and reduce irrelevant, careless mistakes. To facilitate improvements in note-taking, we applied a set of metrics that determine how carefully the notes were written, and propose a system that provides feedback to students about how carefully they are writing notes.
Architecture and Formats of Digital e-Library Warehouse
Authors: Favorskaya Margarita  , Damov Mikhail
Published: February 2025

The efficient management in Digital e-Library Warehouse (DLW) causes the wide challenges from modern architecture design to advanced customization and personalization. The paper provides the multi-level content-dependent architecture of DLW. Also EPUB (Electronic PUBlication) format extensions were investigated which prefer good multimedia possibilities based on advanced visualization technologies especially for end users working in groups. The usability of DLW is based on skill acquisition with collaboration of advanced software/hardware technologies. The experimental tests on vulnerabilities permitted to choice a more appropriative decision – Content Management System Bitrix Framework as a middleware into proposed multilevel architecture of DLW.
Finding Good and Considerate Strategies in the Iterated Prisoners Dilemma
Authors: Tanaka-Yamawaki Mieko  , Itoi Ryota
Published: February 2025

We search for better strategies in a multi-agent model of the iterated prisoners' dilemma with evolvable strategies, originally proposed by Lindgren that allows elongation of genes represented by one-dimensional binary arrays, by means of three kinds of mutations: the duplication, the fission, and the point mutation, and the strong strategies are set to survive according to their performance at every generation change. Inorder to reduce comptational time, we treat each startegy as an agent and let them evolve. We also avoid fixing the number of games and let them end the iteration by means of throwing dice. The actions that the players can choose are assumed to be either cooperation (represented by C) or defection (represented by D). We conveniently use {0,1} instead of {D,C}. Each player has a strategy that determines the player's action based on the history of actions chosen by both players. Corresponding to the history of actions, represented by a binary tree of depth m, a strategy is represented by the leaves of that tree, an one-dimensional array of length 2m. We have performed extentive simulations until many long genes are generated by mutations, and by evaluating those genes we have discovered that the genes of high scores are constructed by 3 common quartet elements, [1001], [0001], and [0101]. Furthermore, we have found that the strong genes commonly have the element [1001 0001 0001 0001] that have the following four features: (1) never defects under the cooperative situation, represented by having ‘1’ in the fourth element of the quartet such as [***1], (2) retaliates immediately if defected, represented by having ‘0’ in the first element and the third element in the quartet such as [0*0*], (3) volunteers a cooperative action after repeated defections, represented by ‘1’ in the first element of the genes, (4) exploits the benefit whenever possible, represented by having ‘0’ in the quartet such as [*0**].
Building a New Portfolio Selection Model with Technical Pattern-based Fuzzy Birandom Returns
Authors: Li You  , Wang Bo  , Watada Junzo
Published: February 2025

Fuzzy set theory has been applied to build various portfolio selection models in the past decades. Based on the knowledge of previous studies, this paper proposes a new portfolio selection model with technical pattern-based fuzzy birandom variables. There are two innovations in the work: The concept of technical pattern is combined with fuzzy set theory to use the fuzzy birandom variables as security returns; The fuzzy birandom Value-at-Risk (VaR) is introduced to build the mathematical model, named the fuzzy birandom VaR-based portfolio selection model (FBR-PSM). Then, fuzzy simulation is extended to the fuzzy birandom case to obtain a general solution to the FBR-PSM, which is called as fuzzy birandom simulation-based particle swarm optimization algorithm (FBS-PSO). To illustrate the performances of the FBR-PSM and the FBS-PSO, two numerical examples are introduced based on investors' different risk attitudes. Finally, we analyze the experimental results and provide further discussions.
Improving the cancer patient journey
Authors: Crepaz M.  , Curry J.M.
Published: February 2025

The research discussed focuses on improving the delivery of cancer services, specifically lymphoma, at a regional Australian hospital. The work examines whether an emerging patient journey modeling technique known as Essomenic, which has been successfully applied in the domains of; midwifery, chronic kidney disease, mental health, ambulatory care, bariatric and osteoarthritis can deliver similar results to the highly time critical domain of cancer diagnosis and treatment commencement. The work also analysed if enhancements were required to the modelling syntax to accommodate domain specific requirements.
Computerisation of perinatal data entry: Is the data accurate?
Authors: Craswell Alison  , Moxham Lorna  , Broadbent Marc
Published: February 2025

Perinatal data (PD) is collected for mothers and babies Australia wide as mandated at a federal level. The data is used to monitor patterns in midwifery, obstetric and neonatal practice and health outcomes and is also used for research purposes, funding allocation and the education of midwives and medical officers. Accuracy in PD is most often reported via quantitative validation studies of PD collections both internationally and within Australia [1]. These studies report varying levels of accuracy in PD collection and suggest researchers need to be more aware of the quality of data they use. This paper presents findings from doctoral research that regarding issues of concern identified by midwives relating to their perceptions of the accuracy of computer PD records. Research, such as that presented in this paper, may improve the robustness of the PD collection and allow for more accurate planning of health services.
Criteria for Successful Uptake of AAL Technologies: Lessons Learned from Norwegian Pilot Projects
Authors: Svagård Ingrid  , Ausen Dag  , Standal Kristin
Published: February 2025

Implementation of AAL-technology as an integrated part of public health and care services requires a systematic and multidisciplinary approach. There are several challenges that need to be handled in parallel and with sustained effort over time, to tackle the multidimensional problem of building the value chain that is required for widespread uptake of AAL technology. Several pilot projects are on-going in Norway, involving municipalities, technology providers and research partners. Examples are “Home Safety” (NO: Trygghetspakken) and “Safe Tracks” (NO: Trygge spor). This paper will elaborate on our lessons learned with focus on five main points: 1) User-friendly and robust technology 2) Technology adapted organization 3) Service oriented technology providers 4) Care service organizations as demanding customer and 5) Sustainable financial model.
INDIV-3D. A new model for INdividual Data Integration and Visualisation using spatial coordinates
Authors: Lopez-Campos Guillermo  , Bellazzi Riccardo  , Martin-Sanchez Fernando
Published: February 2025

This work describes a new three-dimensional model for the integration and visualization of comprehensive individual health-related information. The model could be used to represent longitudinal datasets corresponding to any kind of biomedical data (genome, phenome, exposome) relative to a single individual or to populations. Analogously with geographical information systems this model includes different layers at each time point, which are associated with different sets of biomedical data. Each data element represented in this model receives two angular and one linear (temporal) coordinates. This new model could be able to represent virtually any kind of biomedical data including those captured in real-time such as self-monitoring activities or other exposome-related information.
Web site construction for prevention and treatment of sexually transmitted diseases
Authors: Maneta Evangelia  , Ponirou Paraskevi  , Bizopoulou Zoi  , Diomidous Marianna  , Mantas John
Published: February 2025

The sexually transmitted diseases are a group of infectious diseases with increasing incidence worldwide. In recent years, these diseases have taken epidemic proportions in many countries and huge efforts have been made to prevent them. The gonococcus infections, the HPV virus, AIDS, chlamydia, herpes genitalia, hepatitis B and C, the trichomonas and syphilis are the most common sexually transmitted diseases. This paper describes the clinical and epidemiological symptoms and the preventive measures that should be taken for each disease. lt also presents the dimensions of the sexually transmitted diseases in adolescents who are particularly a <> group. One of the most important and widely disseminated measures of prevention is the use of condoms. We can also see the importance of and other preventive measures which can be taken against sexually transmitted diseases. Finally, it is noted also the role of the state to treat these diseases, which are unfortunately quite common, and the measures taken by it to prevent and treat them.
Health and Safety Modelling processes at work for the support of the Epidemiological Surveillance
Authors: Hatzistavrou Dimitris  , Ponirou Paraskevi  , Charalampidou Martha  , Diomidous Marianna
Published: February 2025

Health and safety at the work place is an important issue of the modern society, as there are a lot of factors and parameters which may influence health in the working environment. The aim of this research gives with a simple and comprehensible everything that is related with workers health and it also facilitate the developers computer work to create more advanced systems targeted in health informatics in the near future. Through bibliographic research risk factors were identified and categorized in order to be more functional. These types of categories include the natural, biological, chemical and transverse risk factors. Detailed information was also presented regarding the types of work, the Personal Protective Equipment the sex, the age, the education and the training at the work place. Based on the class diagram of Unified Modeling Language (UML), an object-oriented model was developed, in which every possible correlation of the above mentioned risk factors with the hygiene and safety of workers was presented.
Prognostic scales ISS-RTS-TRISS, PRISM, APACHE II and PTS in Decision support of treatment children with severe mechanical trauma
Authors: Vasilyeva I.V.  , Shvirev S.L.  , Arseniev S.B.  , Zarubina T.V.
Published: February 2025

The aim of the present study is to assess a possibility and validity of prognostic scales ISS-RTS-TRISS, PRISM, APACHE II and PTS to be used for the automated calculation in decision support when treating children with severe mechanical traumas. The mentioned scales are used in the Hospital Information System (HIS) MEDIALOG. The retrospective study was conducted using clinical and physiological data collected at the admission and during the first 24 hours of hospitalization in 166 patients. Scales PRISM, APACHE II, ISS-RTS-TRISS were used for calculating the severity of injury and for prognosis in death outcomes. Scale PTS was used for evaluating the severity index only. Our research has shown that ISS-RTS-TRISS has excellent discrimination ability, PRISM and APACHE II prognostic scales have acceptable discrimination ability; moreover, they all have significant calibration ability. PTS scale has acceptable discrimination ability. It has been showed that automated calculation scales ISS-RTS-TRISS, PRISM, APACHE II and PTS are useful for assessing outcomes in children with severe mechanical trauma.
AMELIE: Authoring Multimedia-Enhanced Learning Interactive Environment for medical contents
Authors: Sánchez-González P.  , Oropesa I.  , García-Novoa J.  , Gómez E.J.
Published: February 2025

This paper presents the AMELIE Authoring Tool for medical e-learning applications. The tool allows for the creation of enhanced-video based didactic contents, and can be adjusted to any number of platforms and applications. Validation provides preliminary good results on its acceptance and usefulness.
Terminology-based Documentation Systems: A Systemantic Comparison of Four Different Approaches
Authors: Ngouongo Sylvie M.N.  , Stausberg Jürgen
Published: February 2025

The supplementation of documentation systems with controlled vocabularies is a prerequisite for improved and consistent communication, high data quality and efficient data exchange. To outline the requirements of an application system which supports the terminology-based development of documentation systems, existing documentation systems offering a terminological support in the definition of item collections were retrieved in the literature and analyzed. The analysis of four selected documentation systems caused us to define four main criteria for a terminology-based documentation system, which are: use of a controlled vocabulary, definition of a characteristic level, the definition of a value domain level and definition of roles and entities to combine vocabulary, characteristic and value domain levels together.
Cue-Elicited Anxiety and Craving For Food Using Virtual Reality Scenarios
Authors: Ferrer-García Marta  , Gutiérrez-Maldonado José  , Pla Joana
Published: February 2025

Cue exposure therapy has been reported to be an effective intervention for reducing binge eating behavior in patients with eating disorders and obesity. However, in vivo food exposure conducted in the therapist's office presents logistical problems and lacks ecological validity. This study proposes the use of virtual reality technology as an alternative to in vivo exposure, and assesses the ability of different virtual environments to elicit anxiety and craving for food in a non-clinical sample. The results show that exposure to virtual environments provokes changes in reported craving for food. High-calorie food cues are the ones that elicit the highest increases in craving.
Measuring Presence During the Navigation In a Virtual Environment Using EEG
Authors: Clemente Miriam  , Rodríguez Alejandro  , Rey Beatriz  , Alcañiz Mariano
Published: February 2025

In the Virtual Reality field, presence refers to the sense of “being there” in the virtual world. Our aim in this work is to evaluate the usefulness of the Emotiv EPOC EEG device to measure the brain activations due to the sense of presence during the navigation in a Virtual Environment (VE), using for the analysis the sLORETA tool. We compare between two experimental conditions: free and automatic navigation through a VE. In this preliminary step, we monitored 9 healthy subjects, obtaining significant differences between the free and automatic navigation conditions in the activity of the right insula for the Theta and Alpha bands. The insula activation is related to stimulus attention and selfawareness processes, directly related with the sense of presence.
Mobile Patient Applications within Diabetes – from Few and Easy to Advanced Functionalities
Authors: Årsand Eirik  , Skrøvseth Stein Olav  , Hejlesen Ole  , Horsch Alexander  , Godtliebsen Fred  , Grøttland Astrid  , Hartvigsen Gunnar
Published: February 2025

Patient diaries as apps on mobile phones are becoming increasingly common, and can be a good support tool for patients who need to organize information relevant for their disease. Self-management is important to achieving diabetes treatment goals and can be a tool for lifestyle changes for patients with Type 2 diabetes. The autoimmune disease Type 1 diabetes requires a more intensive management than Type 2 – thus more advanced functionalities is desirable for users. Both simple and easy-to-use and more advanced diaries have their respective benefits, depending on the target user group and intervention. In this poster we summarize main findings and experience from more than a decade of research and development in the diabetes area. Several versions of the mobile health research platform—the Few Touch Application (FTA) are presented to illustrate the different approaches and results.
Tutorials on Basics of Bioethics: An Experience with Post-Graduate Health Professionals
Authors: Mishra N.N.  , Bhatia Triptish  , Parker Lisa S.  , Nimgaonkar Vishwajit L.  , Deshpande Smita N.
Published: February 2025

Background: All health professionals are morally bound to recognize and address ethical issues in their daily practice. Understanding basics of bioethics can help professionals promote autonomy and protect the welfare of both patients and research participants. As part of the Fogarty International Center, NIH, USA, funded “Training Program for Psychiatric Genetics in India,” NNM was trained in bioethics at University of Pittsburgh under the mentorship of Lisa S Parker, PhD.
Gamification Strategy on Prevention of STDs for Youth
Authors: Gabarron Elia  , Schopf Thomas  , Serrano J. Artur  , Fernandez-Luque Luis  , Dorronzoro Enrique
Published: February 2025

Sexually transmitted diseases (STDs) and especially chlamydia is a worrying problem among North-Norwegian youngsters. Gamified web applications should be valued for sexual health education, and thus STDs prevention, for their potential to get users engaged and involved with their healthcare. Aiming to achieve that youngsters become more aware of STDs we have developed “sjekkdeg.no”, a gamified web application focused on sexual health targeting North-Norwegian youngsters. Gamification techniques like avatars, achievement-based gifts and social network sharing buttons have been implemented in the site that includes educational content on sexual health and a STDs symptom checker. Preliminary results show that the game-style web app could be useful to encourage users to learn more on sexual health and STDs and thus changing their risky behaviors and preventing sexually transmitted diseases.
Model-Based Query Language for Analyzing Clinical Processes
Authors: Barzdins Janis  , Barzdins Juris  , Rencis Edgars  , Sostaks Agris
Published: February 2025

Nowadays large databases of clinical process data exist in hospitals. However, these data are rarely used in full scope. In order to perform queries on hospital processes, one must either choose from the predefined queries or develop queries using MS Excel-type software system, which is not always a trivial task. In this paper we propose a new query language for analyzing clinical processes that is easily perceptible also by non-IT professionals. We develop this language based on a process modeling language which is also described in this paper. Prototypes of both languages have already been verified using real examples from hospitals.
PathGuide – Model-based Generation of Guideline-compliant Pathways for the Use in Different Hospital Information Systems
Authors: Böckmann Britta  , Heiden Katja
Published: February 2025

Clinical guidelines and clinical pathways are accepted instruments for quality assurance and process optimization. Defining a standardized patient treatment for a specific disease clinical guidelines provide evident medical knowledge for diagnostic and therapeutic issues in form of narrative recommendations. Clinical pathways offer process-like descriptions defining daily diagnostic and treatment procedures. The use of evident knowledge (in form of clinical guidelines) during pathway development is highly recommended. But the transfer of unstructured recommendations to care processes (clinical pathways) is not straightforward. This article proposes a model-based approach to support the development of guideline-compliant pathways and focuses their deployment into different target systems. Especially HIS (hospital information system) are considered as this is the critical system for managing patient care processes in the hospital. So the results of latest research provided by clinical guidelines are implemented into daily practice and therefore improve patient care.
Physicians searching the web for medical question answering: A European survey and local user studies
Authors: Samwald Matthias  , Kritz Marlene  , Gschwandtner Manfred  , Stefanov Veronika  , Hanbury Allan
Published: February 2025

Medical professionals frequently face unmet information needs during their daily routines. We investigated the use of web search engines through a large-scale survey including 500 European physicians, as well as local user testing that observed the search behavior of physicians when facing clinical questions. We identified several differences in the search requirements and behaviors of different groups of physicians based on level of qualification and level of specialization. We also found user testing a valuable source of information about the search preferences of medical professional. The survey and user tests we conducted are among the largest and most detailed that have been conducted in this domain.
Clinical Overview: A Framework for Analysis
Authors: Bossen Claus  , Jensen Lotte G.
Published: February 2025

In this presentation, we investigate concepts and theories for analysing how healthcare professionals achieve overview of patient cases. By ‘overview’ we mean the situation in which a healthcare professional with sufficient certainty and in concrete situations knows how to proceed based on available information upon a patient. Achieving overview is central for the efficient and safe use of healthcare IT systems, and for the realization of the potential improvements of healthcare that are behind investments in such systems. We focus on the theories of decision-making, sensemaking, narratives, ethnomethodology and distributed cognition. Whereas decision-making theory tend to be sequential and normative, we find the concept of ‘functional deployment’ in sensemaking theory, ‘emplotment’ in narrative theory, the focus on ‘members’ methods' in ethnomethodology and the inclusion of ‘computational artifacts’ in distributed cognition helpful.
Patient Recruitment Workflow with and without a Patient Recruitment System
Authors: Trinczek Benjamin  , Schulte Britta  , Breil Bernhard  , Dugas Martin
Published: February 2025

In clinical trials (CTs), the process of patient recruitment (PR) is one of the main risk factors, as almost half of all trial delays are caused by problems in PR. To our knowledge, no publication in this field describes the process of PR. Therefore, weak spots and potential benefits cannot be identified. By interviewing six domain experts and modeling the workflow in a standardized way, we describe the actors, tasks and tools within PR. We compare the current workflow with Patient Recruitment System (PRS)-supported PR. The identification of eligible participants is the most complex part, but adding a PRS simplifies it by automating repetitive tasks and taking work off the Investigators' hands. This work contributes to a common understanding of the PR process.
Standardized Drug and Pharmacological Class Network Construction
Authors: Zhu Qian  , Jiang Guoqian  , Wang Liwei  , Chute Christopher G.
Published: February 2025

Dozens of drug terminologies and resources capture the drug and/or drug class information, ranging from their coverage and adequacy of representation. No transformative ways are available to link them together in a standard way, which hinders data integration and data representation for drug-related clinical and translational studies. In this paper, we introduce our preliminary work for building a standardized drug and drug class network that integrates multiple drug terminological resources, using Anatomical Therapeutic Chemical (ATC) and National Drug File Reference Terminology (NDF-RT) as network backbone, and expanding with RxNorm and Structured Product Label (SPL). The network consists of 39,728 drugs and drug classes. We calculated and compared structure similarity for each drug/drug class pair from ATC and NDF-RT, and analyzed constructed drug class network from chemical structure perspective.
Effective Healthcare Process Redesign through an Interdisciplinary Team Approach
Authors: Snyder Rita  , Huynh Nathan  , Cai Bo  , Vidal José  , Bennett Kevin
Published: February 2025

Healthcare process redesign is a complex and often high risk undertaking. Typically, there is a limited understanding of the baseline process and often inadequate tools by which to assess it. This can be confounded by narrow redesign team expertise that can result in unanticipated and/or unintended redesign consequences. Interdisciplinary research teams of healthcare, biostatistics, engineering and computer science experts provide broad support for a more effective and safer approach to healthcare process redesign. We describe an interdisciplinary research team focused on medication administration process (MAP)redesign and its achievements and challenges.
Impact of Complementary Therapies via Mobile Technologies on Icelandic Same Day Surgical Patients' Reports of Anxiety, Pain and Self-Efficacy in Healing: A Randomized Controlled Trial in Process
Authors: Hansen Margaret M.
Published: February 2025

Complementary and Alternative Therapies (CAT) are increasingly being utilized in conjunction with conventional medicine. Health Information Technology (HIT) and CAT are being scrutinized for evidence based health outcomes. The aim of this randomized controlled trial (RCT) is to determine if the use of mobile technologies delivering CAT, specifically relaxation technique (RT), medical music intervention (MMI), nature landscape applications with (NLAM) and without music (NLAWM) compared with no intervention (control group) will assist in decreasing pre- and post-surgical patients' anxiety and pain levels while increasing post-operative healing self-efficacy levels.
Workflows in Cancer Treatment and their Influence upon Clinical Documentation
Authors: Bürkle Thomas  , Martin Marcus  , Schütz Alexander  , Starke Katrin  , Wagner Stefan  , Ries Markus  , Wullich Bernd  , Beckmann Matthias W.  , Prokosch Hans-Ulrich
Published: February 2025

To establish single source cancer documentation for a complete comprehensive cancer center CCC we performed a systematic analysis of diagnostic, therapeutic and documentation workflows for 13 cancer entities. Results suggest that we will need three types of clinical documentation to cover all cancer entities of the Erlangen CCC. We expect to have a workflow for solid entities with inpatient treatment, one for solid entities treated ambulatory and one for non solid cancer entities.
Data Standard ≠ Data Quality
Authors: Nahm Meredith  , Hammond W. Ed
Published: February 2025

The relationship between data quality and data standards has not been clearly articulated. While some directly state that data standards increase data quality, others claim the opposite. Depending on the type of data standard and the aspects of data quality considered, both arguments may in fact be correct. We deconstruct a typology of data standards and ap ply a dimensional definition of data quality to clearly articulate the relationship between the two, providing a framework for data quality planning.
User Tests for Assessing a Medical Image Retrieval System: A Pilot Study
Authors: Markonis Dimitrios  , Baroz Frederic  , Ruiz De Castaneda Rafael Luis  , Boyer Celia  , Müller Henning
Published: February 2025

Content-based image retrieval (CBIR) has often been proposed to assist medical decision making in complement to textual information search. However, applications of this novel technology have rarely reached the end users. The study presented in this paper describes the design and setup for performing pilot user tests in order to assess a medical information retrieval system that supports CBIR with the goal of having more detailed tests with an updated system. Five individuals with medical education participated in the study at the University hospitals of Geneva. They were recorded and observed while interacting with the system, and then provided feedback on the usability of the system. Participants seemed to understand the concept and practical uses of the new tools, and needed 10–15 minutes to feel confident with the system. The results of this pilot study will be used for improving the system functionalities as well as an input for designing a new iteration of larger-scale user tests among radiologists.
A Web-based System to Facilitate Local, Systematic Quality Improvement by Multidisciplinary Care Teams: Development and First Experiences of CARDSS Online
Authors: van Engen-Verheul Mariëtte M.  , van der Veer Sabine N.  , de Keizer Nicolette F.  , Tjon Sjoe Sjoe Winston  , van der Zwan Eric P.A.  , Peek Niels
Published: February 2025

Continuous monitoring and systematic improvement of quality have become increasingly common in healthcare. To support multidisciplinary care teams in improving their clinical performance using feedback on quality indicators, we developed the CARDSS Online system. This system supports (i) monitoring of indicator-based performance, (ii) selecting aspects of care that need improvement, (iii) developing a quality improvement (QI) plan, and (iv) periodically adjusting the QI plan. During educational outreach visits, the system actively involves the team in the improvement effort, and guides them through the process of systematic QI without needing extensive knowledge of the underlying concepts. During the implementation of the system in the field of cardiac rehabilitation (CR) in the Netherlands, we have conducted the first outreach visits to four CR teams. During the visits, the teams formulated QI plans consisting of 4 to 7 improvement goals, each goal accompanied by 1 to 5 QI actions. Currently, we are evaluating the effect of CARDSS Online on the quality of CR in the Netherlands in a cluster randomized trial.
Design and Implementation of an Informed Consent Process for a Standardized Health Information Exchange Solution on the Example of the Lower Saxony Bank of Health
Authors: Schwartze Jonas  , Haarbrandt Birger  , Rochon Maike  , Wagner Markus  , Haux Reinhold  , Kleinschmidt Thorsten  , Plischke Maik  , Seidel Christoph
Published: February 2025

Objective Multicenter medical treatment requires health related data to be available across institutions. Since health information exchange solutions are emergent, fulfillment of privacy needs, including patients' informed consent, is vital for successful data exchange. Methods We designed a software supported consent process for the recently founded Lower Saxony Bank of Health (LSBH) with regard to particularities of German law. To implement the application, web technologies and well-described interfaces to IHE XDS profile components have been used. Results A two staged process has been developed. A special consent application creates a customized form containing all orally given constraints defined by the patient. The form is printed out and signed by the patient while an electronic policy is created and registered at the LSBH.
A Semi-automatic Semantic Method for Mapping SNOMED CT Concepts to VCM Icons
Authors: Lamy Jean-Baptiste  , Tsopra Rosy  , Venot Alain  , Duclos Catherine
Published: February 2025

VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping of its icons to the terms of these terminologies. Here, we present and evaluate a semi-automatic semantic method for the mapping of SNOMED CT concepts to VCM icons. Both SNOMED CT and VCM are compositional in nature; SNOMED CT is expressed in description logic and VCM semantics are formalized in an OWL ontology. The proposed method involves the manual mapping of a limited number of underlying concepts from the VCM ontology, followed by automatic generation of the rest of the mapping. We applied this method to the clinical findings of the SNOMED CT CORE subset, and 100 randomly-selected mappings were evaluated by three experts. The results obtained were promising, with 82 of the SNOMED CT concepts correctly linked to VCM icons according to the experts. Most of the errors were easy to fix.
Which Patients may benefit from the Use of a Decision Support System to Improve Compliance of Physician Decisions with Clinical Practice Guidelines: A Case Study with Breast Cancer involving Data Mining
Authors: Séroussi Brigitte  , Soulet Arnaud  , Spano Jean-Philippe  , Lefranc Jean-Pierre  , Cojean-Zelek Isabelle  , Blaszka-Jaulerry Brigitte  , Zelek Laurent  , Durieux Axel  , Tournigand Christophe  , Messai Nizar  , Rousseau Alexandra  , Bouaud Jacques
Published: February 2025

OncoDoc2 is a guideline-based clinical decision support system (CDSS) for breast cancer management. It has been used as an intervention in a randomized controlled trial carried out to evaluate the impact of using a CDSS upon the compliance with clinical practice guidelines (CPGs) of multidisciplinary staff meeting decisions. Data mining was used to discover multi-criteria regularities as “emerging patterns” (EPs) associated with compliance and non-compliance with CPGs when using and not using OncoDoc2 and to assess which patients may benefit from the use of the CDSS. Decision data was collected from all participating centers. The number of EPs associated with non-compliance is smaller in the intervention arm, which suggests a practice harmonization effect of OncoDoc2. EPs associated with compliant decisions in both arms of the trial correspond to situations well identified in CPGs. EPs associated with non-compliant decisions when the system is not used are associated with compliance when the system is used except in clinical situations where evidence is lacking.
Development of Description Framework of Pharmacodynamics Ontology and Its Application to Possible Drug-drug Interaction Reasoning
Authors: Imai Takeshi  , Hayakawa Masayo  , Ohe Kazuhiko
Published: February 2025

Prediction of synergistic or antagonistic effects of drug-drug interaction (DDI) in vivo has been of considerable interest over the years. Formal representation of pharmacological knowledge such as ontology is indispensable for machine reasoning of possible DDIs. However, current pharmacology knowledge bases are not sufficient to provide formal representation of DDI information. With this background, this paper presents: (1) a description framework of pharmacodynamics ontology; and (2) a methodology to utilize pharmacodynamics ontology to detect different types of possible DDI pairs with supporting information such as underlying pharmacodynamics mechanisms. We also evaluated our methodology in the field of drugs related to noradrenaline signal transduction process and 11 different types of possible DDI pairs were detected. The main features of our methodology are the explanation capability of the reason for possible DDIs and the distinguishability of different types of DDIs. These features will not only be useful for providing supporting information to prescribers, but also for large-scale monitoring of drug safety.
CiteGraph: A Citation Network System for MEDLINE Articles and Analysis
Authors: Zhang Qing  , Yu Hong
Published: February 2025

This paper details the development and implementation of CiteGraph, a system for constructing large-scale citation and co-authorship networks from full-text biomedical articles. CiteGraph represents articles and authors by uniquely identified nodes, and connects those nodes through citation and co-authorship relations. CiteGraph network encompasses over 1.65 million full-text articles and 6.35 million citations by 1.37 million unique authors from the Elsevier full-text articles. Our evaluation shows 98% 99% F1-score for mapping a citation to the corresponding article and identifying MEDLINE articles. We further analyzed the characteristics of CiteGraph and found that they are consistent with assumptions made using small-scale bibliometric analysis. We also developed several novel network-based methods for analyzing publication, citation and collaboration patterns. This is the first work to develop a completely automated system for the creation of a large-scale citation network in the biomedical domain, and also to introduce novel findings in researcher publication histories. CiteGraph can be a useful resource to both the biomedical community, and bibliometric research.
Reducing Healthcare Disparities with a Technology Mediated Solution
Authors: Wickramasinghe Nilmini  , Arias Ray  , Gonzalez Chris
Published: February 2025

As healthcare costs in the US continue to rise exponentially it becomes a strategic imperative to examine all areas of healthcare delivery and identify those which are currently inefficient and ineffective and identify ways to find superior solutions that support a healthcare value proposition of excellence in access quality and value. Moreover, given the current emphasis on identifying meaningful use of technology it becomes possible to develop appropriate technology solutions that not only comply with this requirement but also facilitate superior healthcare delivery to ensue. This is such the case with improving access to language services in healthcare or more specifically the development of a real time on-line technology mediated solution to support limited English proficiency patients as the following discussed.
Clinical Decision Support System for Early Detection of Prostate Cancer from Benign Hyperplasia of Prostate
Authors: Ghaderzadeh Mustafa
Published: February 2025

There has been a growing research interest in the use of intelligent methods in medical informatics studies. Intelligent computer programs were implemented to aid physicians and other medical professionals in making difficult medical decisions. Prostate Neoplasia problems including benign hyperplasia and cancer of prostate are very common and cause significant delay in recovery and often require costly investigations before coming to its diagnosis. The conventional approach to build medical diagnostic system requires the formulation of rules by which the input data can be analyzed. But the formulation of such rules is very difficult with large sets of input data. Realizing the difficulty, a number of quantitative mathematical and statistical models including pattern classification technique such as Artificial neural networks (ANN), rolled based system, discriminate analysis and regression analysis has been applied as an alternative to conventional clinical and medical diagnostic. Among the mathematical and statistical modeling techniques used in medical decision support, Artificial neural networks attract many attentions in recent studies and in the last decade, the use of neural networks has become widely accepted in medical applications. This is manifested by an increasing number of medical devices currently available on the market with embedded AI algorithms, together with an accelerating pace of publication in medical journals, with over 500 academic publications year featuring Artificial Neural Networks (ANNs).
Qualities of Dental Chart Recording and Coding
Authors: Chantravekin Yosananda  , Tasananutree Munchulika  , Santaphongse Supitcha  , Aittiwarapoj Anchisa
Published: February 2025

Chart recording and coding are the important processes in the healthcare informatics system, but there were only a few reports in the dentistry field. The objectives of this study are to study the qualities of dental chart recording and coding, as well as the achievement of lecture/workshop on this topic. The study was performed by auditing the patient's charts at the TU Dental Student Clinic from July 2011–August 2012. The chart recording mean scores ranged from 51.0–55.7%, whereas the errors in the coding process were presented in the coder part more than the doctor part. The lecture/workshop could improve the scores only in some topics.
Analyzing SNOMED CT and HL7 Terminology Binding for Semantic Interoperability on Post-Genomic Clinical Trials
Authors: Aso Santiago  , Perez-Rey David  , Alonso-Calvo Raul  , Rico-Diez Antonio  , Bucur Anca  , Claerhout Brecht  , Maojo Victor
Published: February 2025

Current post-genomic clinical trials in cancer involve the collaboration of several institutions. Multi-centric retrospective analysis requires advanced methods to ensure semantic interoperability. In this scenario, the objective of the EU funded INTEGRATE project, is to provide an infrastructure to share knowledge and data in post-genomic breast cancer clinical trials. This paper presents the process carried out in this project, to bind domain terminologies in the area, such as SNOMED CT, with the HL7 v3 Reference Information Model (RIM). The proposed terminology binding follow the HL7 recommendations, but should also consider important issues such as overlapping concepts and domain terminology coverage. Although there are limitations due to the large heterogeneity of the data in the area, the proposed process has been successfully applied within the context of the INTEGRATE project. An improvement in semantic interoperability of patient data from modern breast cancer clinical trials, aims to enhance the clinical practice in oncology.
Impact of Thailand Universal Coverage Scheme on the Country's Health Information Systems and Health Information Technology
Authors: Kijsanayotin Boonchai
Published: February 2025

Thailand achieved universal healthcare coverage with the implementation of the Universal Coverage Scheme (UCS) in 2001. This study employed qualitative method to explore the impact of the UCS on the country's health information systems (HIS) and health information technology (HIT) development. The results show that health insurance beneficiary registration system helps improve providers' service workflow and country vital statistics. Implementation of casemix financing tool, Thai Diagnosis-Related Groups, has stimulated health providers' HIS and HIT capacity building, data and medical record quality and the adoption of national administrative data standards. The system called “Disease Management Information Systems” aiming at reimbursement for select diseases increased the fragmentation of HIS and increase burden on data management to providers. The financial incentive of outpatient data quality improvement project enhance providers' HIS and HIT investment and also induce data fraudulence tendency. Implementation of UCS has largely brought favorable impact on the country HIS and HIT development. However, the unfavorable effects are also evident.
Safety-oriented usability test of a semi-automated Unit Dose System: Role of task allocation between Human and Machine
Authors: Pelayo Sylvia  , Hassler Sylvain  , Bernonville Stéphanie  , Aldegheri Julien  , Beuscart-Zephir Marie-Catherine
Published: February 2025

The distribution of tasks between humans and machines in the design of healthcare systems is an important issue for patient safety. This paper presents a usability test performed to compare a semi-automated unit dose system (UDS) with the usual/manual preparation procedure for preparing and administering drugs. The results show that the UDS prevents the frequent administration errors encountered with the usual cabinets and produces a better performance in terms of time for filling the pill dispensers (6.52 sec ± 1.1 vs. 8.5 sec ± 1.5 (t9, 16= 3.12, p <.007)). But the results also stress that the UDS takes entire control of the preparation and administration tasks, thus leading to a loss of control of the process by nurses (difficulties experienced by them in resuming their actions, difficulties in memorizing drugs, lack of confidence in the UDS while they “blindly” rely on it). The distribution of tasks between the nurses and the UDS should be modified to give back control to the nurses. Design suggestions were provided in this way. For instance, the UDS may guide the nurses for the drugs localization in the cabinet but leaves the validation of the drugs to the nurses.