bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceptions of the Roles of Social Networking in Simulation Augmented Medical Education and Training
Authors: Martin Rob  , Rojas David  , Cheung Jeffrey J.H.  , Weber Bryce  , Kapralos Bill  , Dubrowski Adam
Published: February 2025

Simulation-augmented education and training (SAET) is an expensive educational tool that may be facilitated through social networking technologies or Computer Supported Collaborative Learning (CSCL). This study examined the perceptions of medical undergraduates participating in SAET for knot tying skills to identify perceptions and barriers to implementation of social networking technologies within a broader medical education curriculum. The majority of participants (89%) found CSCL aided their learning of the technical skill and identified privacy and accessibility as major barriers to the tools implementation.
The Evolution of Anatomic Pathology: New Strategies and Emerging Trends
Authors: Cohen Stanley
Published: February 2025

Science advances both by conceptual leaps and by improved observational and analytic tools. Mechanism and function in biological systems can best be understood in the context of the complex microenvironments in which they occur, and for this purpose morphologic analysis can be critical. The technological advances in cell and tissue imaging described in this book are currently finding application in a wide variety of basic, translational, and clinical biomedical studies. We have chosen some specific approaches that illustrate the various categories of imaging methodologies available. Many other ways of applying modern morphology-based interrogation of cells and tissues have already been described and are continuously evolving. This chapter provides examples of some of these. On the clinical front, radiologists have embraced new imaging technique to a greater extent than have pathologists. This chapter discusses some of the factors responsible for this, and suggests that pathology and radiology are converging towards a more holistic approach to diagnostic imaging.
Automated Image Interpretation and Computer-Assisted Diagnostics
Authors: Foran David J.  , Chen Wenjin  , Yang Lin
Published: February 2025

Much of the difficulty in reaching consistent evaluations of radiology and pathology imaging studies arises from subjective impressions of individual observers. Developing strategies that can reliably transform complex visual observations into well-defined algorithmic procedures is an active area of exploration which can advance clinical practice, investigative research and outcome studies. The literature shows that when characterizations are based upon computer-aided analysis, objectivity, reproducibility and sensitivity improve considerably. Advanced imaging and computational tools could potentially enable investigators to detect and track subtle changes in measurable parameters leading to the discovery of novel diagnostic and prognostic clues which are not apparent by human visual inspection alone. The overarching objective of this book chapter is to provide readers with a summary of the origin, evolution and future directions for the fields of automated image interpretation and computer-assisted diagnostics. The chapter begins with a high-level overview of the fields of image processing, pattern recognition, and computer vision followed by a description of how these disciplines relate to the more comprehensive fields of computer-assisted diagnostics and image guided decision support. Throughout the remainder of the chapter we have supplied multiple illustrative examples demonstrating how recent advances and innovations in each of these areas have impacted clinical and research activities throughout pathology and radiology including high-throughput tissue microarray analysis, multi-spectral imaging, and image co-registration.
An Overview on the Principal-Agent Problems in Continuous Time
Authors: Ji Shaolin  , Wei Qingmeng
Published: February 2025

This chapter reviews four principal-agent models in continuous time. The first model is about a contract problems with full information, which is known as a risk-sharing problem. The second model is concerned with optimal contract problems with hidden actions and the payment to the agent is lump-sum at the end of the contract. The third model is similar as the second one, but the payment to the agent is continuous. The last model is about a concrete problem–the optimal insurance design problem, in which both the insurer and the insured are subject to Knightian uncertainty about the loss distribution, and the Knightian uncertainty is modeled in a g-expectation framework. In this problem, the endogenous characterization of the optimal indemnity extends the classical theorems of Arrow and Raviv in the classical situation. In the presence of Knightian uncertainty, the optimal insurance contract is shown to be not only contingent on the realized loss but also on another source of uncertainty coming from the ambiguity.
Nonlinear Expectation Theory and Stochastic Calculus under Knightian Uncertainty
Authors: Peng Shige
Published: February 2025

We review the developments in the theory of Backward Stochastic Differential Equations during the last 20 years, including the solutions' existence and uniqueness, comparison theorem, nonlinear Feynman-Kac formula, g-expectation and many other important results in BSDE theory and their applications to dynamic pricing and hedging in an incomplete financial market. We present our new framework of nonlinear expectation and its applications to financial risk measures under uncertainty of probability distributions. The generalized form of the law of large numbers and central limit theorem under sublinear expectation shows that the limit distribution is a sublinear G-normal distribution. A new type of Brownian motion, G-Brownian motion, is constructed which is a continuous stochastic process with independent and stationary increments under a sublinear expectation (or a nonlinear expectation). The corresponding robust version of Itô's calculus turns out to be a basic tool for problems of risk measures in finance and, more general, for decision theory under uncertainty. We also discuss a type of “fully nonlinear” BSDE under nonlinear expectation.
Investment in High-tech Industries: an Example from the LCD Industry
Authors: Huisman Kuno J.M.  , Kort Peter M.  , Plasmans Joseph E.J.
Published: February 2025

This chapter considers a representative firm taking investment decisions in a high-tech environment where different generations of production facilities are invented over time. First, we develop a general real options investment model for high-tech industries in which, according to standard practice, the sales price and the unit production cost both satisfy a geometric Brownian motion (GBM) process. Second, we use the developed model to analyze actual investment decisions in the LCD industry. Real life data is used to fit the parameters of the model and to discuss the actual investments of the two largest companies in the LCD industry: Samsung Display and LG Display. We conclude that their investments in the 8th generation LCD production facilities are have negative NPVs. We present several reasons how these investments can be justified.
On Dynamic Portfolio Insurance Techniques
Authors: Sekine Jun
Published: February 2025

In continuous-time financial markets, several dynamic portfolio insurance techniques are introduced in generalized forms to construct self-financing portfolios, which satisfy the floor constraint, or a generalized drawdown constraint: Concretely, generalized CPPI (Constant Proportion Portfolio Insurance) methods, American OBPI (Option-Based Portfolio Insurance) method, and DFP (Dynamic Fund Protection) method are explained. Moreover, these portfolio insurance techniques are applied to solve the long-term risk-sensitized growth rate maximization problem subject to the floor constraint or the generalized drawdown constraint.
Game Theoretic Real Options and Competition Risk
Authors: Thijssen Jacco J.J.
Published: February 2025

This chapter covers the basic mathematics needed to value the investment opportunities of firms that operate in an oligopolistic market. It combines the tools of (financial) option pricing and industrial organization. At a mathematical level the model presented here is a combination of optimal stopping theory and game theory. Most of the game theoretic real options literature is based on the notion of equilibrium introduced by Fudenberg and Tirole (1984, Review of Economic Studies). This chapter, however, builds on recent work by Thijssen ([1], mimeo), which exploits the strong Markovian nature of diffusions. The theory is applied to a simple duopoly where it is shown, numerically, that competition in a dynamic setting may be bad for welfare.
A Proposed Novel Method for CHD Screening by Fetal Heart Murmur Detection Using Phonocardiography
Authors: Kovács Ferenc  , Fodor Gábor  , Hosszú Gábor
Published: February 2025

The paper presents a novel screening method to indicate congenital heart diseases (CHD) which otherwise would remain undetected because of their low level. Therefore, not belonging to the high-risk population, they are omitted from the regular fetal monitoring with ultrasound echocardiography. Based on the fact that CHDs are morphological defects of the heart causing turbulent blood flow, this turbulence appears as a murmur, which can be detected by phonocardiography (PCG). The proposed method applies measurements on the maternal abdomen and from the recorded sound signal a sophisticated processing determines the fetal heart murmur. The paper describes the problems and the additional advantages of the PCG method including the possibility of measurements at home and its combination with the prescribed regular cardiotocographic (CTG) monitoring. The proposed screening process implemented on a telemedicine system provides an enhanced safety against hidden cardiac diseases.
DIOS – Database of Formalized Chemotherapeutic Regimens
Authors: Klimes Daniel  , Smid Roman  , Kubasek Miroslav  , Vyzula Rostislav  , Dušek Ladislav
Published: February 2025

Chemotherapeutic regimens (CHR) and their administration are routine practice in contemporary oncology. The development of a structured, electronic database of standard CHR can help the faster propagation of information about new CHR and at the same time enable assessment of their adherence in clinical practice. The goal was to develop a standardized way to describe a regimen using XML, fill the database with currently available regimens and develop tools to assess the adherence of the treatment to chosen regimen, compare the dose-intensity and recognize the regimen from existing data on drug administration. The data are being inserted in cooperation with expert oncologists and the database currently contains about 260 CHRs. Such system can be used to enhance decision support systems and interoperability of HIS. The database and tools are available online on the internet.
From Intensive Care Monitoring to Personal Health Monitoring to Ambient Intelligence
Authors: Rienhoff Otto
Published: February 2025

The historical roots of IT-based monitoring in health care are described. Since the 1970ies monitoring has been spreading to more and more domains of health care and public health. Today one can observe monitoring of persons in many environments and regarding widely different questions. While these monitoring applications have been introduced ethical questions have been raised to balance the possible positive and negative outcomes of the approaches. Today IT-technology is entering many parts of our life – IT eventually became what had been coined already in the last century by IBM as “electronic dust” which one can find in every part of our environment. As most of these “dust-particles” are able to observe something one can also understand this development as a development into ubiquitous monitoring of nearly everything at any time. The foreseen ambient intelligence worlds are also spaces of ambient monitoring. This article describes this historical development. It emphasizes why ethical and data protection questions are an absolute must in most IT activities today.
universAAL: Towards the Assisting Technologies Market Breakthrough
Authors: Sala Pilar  , Guillen Sergio  , Naranjo Juan-Carlos  , Lazaro Juan-Pablo  , Gorman Joe
Published: February 2025

The universAAL initiative aims at fulfilling EU objectives to promote open platforms in the Ambient Assisted Living domain by: (1) producing a platform providing the necessary technical support; (2) carrying out support activities promoting widespread acceptance and adoption of the platform. Coordinated exploitation models to ensure the sustainability of project results are being developed by a partnership of committed partners in order to deliver the evidence of usefulness, usability, and reliability of the universAAL platform while assuring its maintenance, thus making universAAL a unique candidate for re-use under real-life conditions.
Wearable and Micro and Nano Technologies for pHealth: R&D Achievements to Enable Future Innovation
Authors: Lymberis Andreas
Published: February 2025

The fast developments in information and communication technology as well as R&D work on micro and nano systems in biology and biomedical engineering are stimulating the explosive growth in life sciences, which is leading to an ever increasing understanding of life at sub-cellular and molecular level and so revolutionizing and personalizing diagnosis and therapy. By bringing these parallel developments to biomedicine and health, ultrafast and sensitive systems can be developed to prevention & lifestyle support, to early diagnose or treat diseases with high accuracy and less invasiveness, and to support body functions or to replace lost functionality. Such pHealth systems will enable the delivery of individualized health services with better access & outcomes at lower costs than previously deemed possible, making a substantial contribution to bring healthcare expenditures under control and increase its productivity.
Unsupervised Abnormal Human Behaviour Detection Using Acceleration Data
Authors: Carús Juan Luis  , Peláez Víctor  , López Gloria  , Fernández Miguel Ángel  , Álvarez Eduardo  , Díaz Gabriel
Published: February 2025

Abnormal human behavior detection under free-living conditions is a reliable technique to detect activity disorders and diseases. This work proposes an acceleration-based algorithm to detect abnormal behavior as an abnormal increase or decrease in physical activity (PA). The algorithm is based on statistical features of human physical activity. Using a period of observed physical activity as a reference, the algorithm is able to detect abnormal behavior in other periods of time. The approach is unsupervised as the modeling of the reference behavior is not required. It has been validated with a group of 12 users under free-living conditions for two days. Results show a precision greater than 75% and a recall of 92%.
Facilitating Access and Reuse of Research Materials: the Case of The European Library
Authors: Freire Nuno
Published: February 2025

The European Library provides access to research materials from the collections of Europe's national and research libraries, representing members from 46 countries. This paper presents the current status, on-going work, and future plans of the resource dissemination services provided by The European Library, covering resources such as national bibliographies, digital collections, full text collections, its access portal and API, open linked data publication, and integration in digital humanities infrastructures. In the coming years, The European Library will work to provide the means and tools for digital humanities researchers to easily use research materials from libraries in their research activities.
Standard Reporting for Medical Apps
Authors: Albrecht Urs-Vito  , Von Jan Ute  , Pramann Oliver
Published: February 2025

Apps running on mobile devices are continually gaining importance, for medical professionals as well as for patients. When used appropriately, they can support their users, have the potential to increase efficiency and to lower costs. However, the information available for “medical apps” that are currently being distributed in the official mobile app stores of different mobile platforms often rather raises than answers questions regarding important aspects such as functionality, limits, data integrity, security and privacy. In this paper, we analyze the current situation, including a basic overview over current reporting and regulatory mechanisms and propose the use of an app-synopsis as step in direction of transparency.
Leveraging Markov Models to Compute Prevalence Estimates for a Regional Breast Cancer Registry
Authors: Pobiruchin Monika  , Kieser Meinhard  , Schramm Wendelin
Published: February 2025

Hospital cancer registries can be a reliable source for comparative effectiveness research. We used an expanded Markov model to estimate breast cancer prevalence for a distinct region in Germany. Thereby, transition probabilities were computed with patient information gained directly from the dataset. A first validation was executed by comparing the results with numbers obtained by another prevalence estimation technique.
Defining Patient-Centered Characteristics of a Telerehabilitation System for Patients with COPD
Authors: Bedra McKenzie  , McNabney Mathew  , Stiassny Deny  , Nicholas June  , Finkelstein Joseph
Published: February 2025

Studies have shown that pulmonary rehabilitation in patients with chronic obstructive pulmonary disease (COPD) can help to restore or enhance residual functional capacity and improve quality of life. Home-based telemedicine systems can promote comprehensive pulmonary rehabilitation in COPD patients. Successful acceptance of such systems depends on how well they reflect needs, values and preferences of older adults with COPD. However, patient-centered characteristics of pulmonary telerehabilitation systems were not systematically defined particularly in older adults. The goal of this pilot study was to assess older COPD patient acceptance of pulmonarytelerehabilitation and to develop patient-centered characteristics of computer technology to support pulmonary rehabilitation at homes of older adults with COPD based on their values, needs, and preferences. A prototype pulmonarytelerehabilitaton system was developed and demonstrated to patients. The system feasibility and acceptance was assessed by identifying patient ability to operate the system independently and by collecting open-ended feedback via semi-structured qualitative interview and attitudinal surveys. Older adults found this technology easy to operate and potentially useful personal rehabilitation. Patient-centered specifications of a comprehensive pulmonary telerehabilitation system in older adults with COPD were identified.
Telepathology As A Method To Optimize Quality In Organ Transplantation: A Feasibility And Reliability Study Of The Virtual Benching Of Renal Graft
Authors: Mammas Constantinos S.  , Kavantzas Nikolaos  , Geropoulos Spyros  , Saatsakis George  , Lemonidou Chryssa  , Patsouris Eustratios
Published: February 2025

Aim: To search feasibility and reliability of Telemedicine Systems (TS) in the procurement of Renal Transplantation. Material and Methods; By an experimental TS, twenty six (n=26) specialists based on a hundred and thirty (N=130) simulated remote image examinations, assessed sensitivity-specificity of the remote examination of Renal Graft (RG) about diseases and damages (Virtual Benching=VB). Results: Analysis showed: injuries (sensitivity=100%), injuries of the capsula (sensitivity=100%), hematomas (sensitivity=96.2%), non neoplasmatic diseases (specificity=100%), tumors (sensitivity=100%). Conclusion The VB of RG after retrieval is feasible and reliable for prevention of damaged renal RG from being sent to the recipient hospital and for transplant planning.
Telepathology As A Method To Optimize Quality In Organ Transplantation: A Feasibility And Reliability Study Of The Virtual Benching Of Pancreas Graft
Authors: Mammas Constantinos S.  , Lazaris Andreas  , Geropoulos Spyros  , Saatsakis George  , Lemonidou Chryssa  , Patsouris Eustratios
Published: February 2025

Aim: To search feasibility and reliability of Telemedicine Systems (TS) in the procurement of Pancreas Transplantation. Material and Methods; By an experimental TS, twenty six (n=26) specialists based on a hundred and thirty (N=130) simulated remote image examinations, assessed sensitivity-specificity of the remote examination of Pancreas Graft (PG) about diseases and damages (Virtual Benching=VB). Results: Analysis showed: Injuries (sensitivity=100%), injuries of the capsula (sensitivity=84.6%), hematomas (sensitivity=92.3%), non neoplasmatic diseases (specificity=92.3%), tumors (sensitivity=72%). Conclusion The VB of PG after retrieval is feasible and reliable for prevention of damaged PG from being sent to the recipient hospital and for transplant planning.
The COST Action On Cyberbullying: Developing an International Network
Authors: Smith Peter K.  , Steffgen Georges
Published: February 2025

The COST Action IS0801 on cyberbullying had the aim of a) sharing of developing expertise in knowledge base and measurement techniques across researchers, b) sharing of input from outside the research community; specifically, from legal experts as well as from mobile phone companies and internet service providers c) sharing of already nationally published guidelines, and recommended coping strategies, including positive uses of new technologies, and d) increasing awareness of the issue, as well as of the outcomes of the Action. Besides the conferences and Training schools organised, the Action has fostered or facilitated a considerable number of grant applications, publications as well as other outreach activities, and has established a fruitful international network.
The German VR Simulation Realism Scale – Psychometric Construction for Virtual Reality Applications with Virtual Humans
Authors: Poeschl Sandra  , Doering Nicola
Published: February 2025

Virtual training applications with high levels of immersion or fidelity (for example for social phobia treatment) produce high levels of presence and therefore belong to the most successful Virtual Reality developments. Whereas display and interaction fidelity (as sub-dimensions of immersion) and their influence on presence are well researched, realism of the displayed simulation depends on the specific application and is therefore difficult to measure. We propose to measure simulation realism by using a self-report questionnaire. The German VR Simulation Realism Scale for VR training applications was developed based on a translation of scene realism items from the Witmer-Singer-Presence Questionnaire. Items for realism of virtual humans (for example for social phobia training applications) were supplemented. A sample of N = 151 students rated simulation realism of a Fear of Public Speaking application. Four factors were derived by item- and principle component analysis (Varimax rotation), representing Scene Realism, Audience Behavior, Audience Appearance and Sound Realism. The scale developed can be used as a starting point for future research and measurement of simulation realism for applications including virtual humans.
Cyberbullying In Cyprus – Associated Parenting Style and Psychopathology
Authors: Floros Georgios  , Paradeisioti Anna  , Hadjimarcou Michalis  , Mappouras Demetrios G.  , Kalakouta Olga  , Avagianou Penelope  , Siomos Konstantinos
Published: February 2025

In this paper we present data from a cross-sectional study on cyberbullying experiences and cyberbullying perpetration in the Republic of Cyprus. Data were collected from a representative sample of the adolescent student population of the first and fourth grades of high school. Total sample was 2684 students, 48.5% of them male and 51.5% female. Research material included extended demographics, a detailed questionnaire on Internet activities, the Parental Bonding Index (PBI) and the Strengths and Difficulties Questionnaire (SDQ). We compared the results on psychometry for those students who did not report being bullied or having bullied others with those who were bullied, those who bullied others and those who were both sufferers and perpetrators of cyberbullying. Those students who reported being both victims and perpetrators tended to show similar or higher dysfunction than those students who only perpetrated cyberbullying. High maternal and paternal protection in combination with low maternal and paternal care (‘affectionless control’ parenting style) was associated with perpetrating cyberbullying, either with or without any experience of oneself being bullied as well. Results support a hypothesis that the perpetration of cyberbullying is associated with inefficient parenting styles. They also point to the existence of significant emotional symptoms for the involved adolescents and also general conduct problems, hyperactivity, peer problems and antisocial tendencies. It is important to note that perpetrators of cyberbullying were in most cases victims themselves at some point in time.
Using PICO to Align Medical Evidence with MDs Decision Making Models
Authors: O'Sullivan Dympna  , Wilk Szymon  , Michalowski Wojtek  , Farion Ken
Published: February 2025

Modern medicine is characterized by an “explosion” in clinical research information making practical application of Evidence-Based Medicine (EBM), problematic for many clinicians. We have developed a PICO-(evidence based search strategy focusing on Patient/Population, Intervention, Comparison and Outcome)-based framework for (indexing and retrieving medical evidence and we posit that the use of PICO allows for organizing evidence that is aligned with an MD's decision making model. We describe a study where medical students evaluated our PICO-based approach and results show that students are eager to apply EBM but are hindered by a lack of specialist skills. Students reported that the PICO-based framework for organizing evidence provided an intuitive way of accessing and evaluating evidence and would be useful for their clinical tasks.
An Automated Routine Childhood Immunization Approach using openEHR
Authors: Liu Zhiming  , Qamar Nafees  , Qian Jie
Published: February 2025

This project studies a working but manual immunization system in place in Pakistan, subject to concerns such as poor record-keeping, reaching targeted children and unavailability of latest census. We propose an openEHR-based solution, called Light-weight Electronic Traceable and Updatable System (LETUS), which aims at increasing childhood immunization coverage and traceability. Two key modules of the solution include: (1) a service that collects the data from the immunization workers, computes population estimates for particular regions, and creates alerts if the ratio of vaccinations over population in a region falls outside a certain range (over or under), and (2) several “thin client” modules where workers can enter their collected data and receive feedback about the current coverage in their region. The proposed software system can be integrated into existing regional immunization registry systems, and run on the servers of a local health agency to ensure timely reporting. Within each immunization registry systems, children data is sharable by applying openEHR approach. This solution will gradually replace the current record keeping process by employing smart phone applications and web services.
Isosemantic Rendering of Clinical Information Using Formal Ontologies and RDF
Authors: Martínez-Costa Catalina  , Bosca Diego  , Legaz-García Mari Carmen  , Tao Cui  , Fernández Breis Jesualdo Tomás  , Schulz Stefan  , Chute Christopher G.
Published: February 2025

The generation of a semantic clinical infostructure requires linking ontologies, clinical models and terminologies [1]. Here we describe an approach that would permit data coming from different sources and represented in different standards to be queried in a homogeneous and integrated way. Our assumption is that data providers should be able to agree and share the meaning of the data they want to exchange and to exploit. We will describe how Clinical Element Model (CEM) and OpenEHR datasets can be jointly exploited in Semantic Web environments.
On a Two-Level Multiclassifier System with Error Correction Applied to the Control of Bioprosthetic Hand
Authors: Kurzynski Marek
Published: February 2025

The paper presents an advanced method of recognition of patient's intention to move of hand prosthesis. The proposed method is based on two-level multiclassifier system (MCS) with homogeneous base classifiers dedicated to EEG, EMG and MMG biosignals and with combining mechanism using a dynamic ensemble selection (DES) scheme and probabilistic competence function. Additionally, the feedback signal derived from the prosthesis sensors is applied to the correction of classification algorithm. The performance of MCS with proposed competence function and combining procedure were experimentally compared against three benchmark MCSs using real data concerning the recognition of six types of grasping movements. The systems developed achieved the highest classification accuracies demonstrating the potential of multiple classifier systems with multimodal biosignals for the control of bioprosthetic hand.
Standardizing Drug Adverse Event Reporting Data
Authors: Wang Liwei  , Jiang Guoqian  , Li Dingcheng  , Liu Hongfang
Published: February 2025

Normalizing data in the Adverse Event Reporting System (AERS), an FDA database, would improve the mining capacity of AERS for drug safety signal detection. In this study, we aim to normalize AERS and build a publicly available normalized Adverse drug events (ADE) data source.he drug information in AERS is normalized to RxNorm, a standard terminology source for medication. Drug class information is then obtained from the National Drug File – Reference Terminology (NDF-RT). Adverse drug events (ADE) are aggregated through mapping with the PT (Preferred Term) and SOC (System Organ Class) codes of MedDRA. Our study yields an aggregated knowledge-enhanced AERS data mining set (AERS-DM). The AERS-DM could provide more perspectives to mine AERS database for drug safety signal detection and could be used by research community in the data mining field.
Mobile-Supported Life Charting for Bipolar Patients – User Requirements Study
Authors: Andersen Per-Øivin Berg  , Babic Ankica
Published: February 2025

It is assumed that bipolar disorder patients can benefit from monitoring their mood, sleep, medicine intake and behavior which could be both done by patients themselves and in cooperation with health care professionals. This study aims at understanding what is required from a computerized system, as seen from the view of therapists and the patients, and how the newer mobile technologies (smart phones and tablets) can be utilized to support development of such a system. The study focuses on several existing solutions available either freely or on the market. Then these solutions are evaluated by both patients and medical professionals as a part of the system requirements study to be used in a new system development that will utilize mobile technologies to support the performance and patient outcomes
An Informatics Approach to Chronicling the History of IMIA
Authors: Kulikowski Casimir A.  , McGrew Charles
Published: February 2025

With the 50th Anniversary of IMIA approaching in 2017, the IMIA Board approved the creation of a Taskforce for compiling materials and writing a history of the organization. As part of the work of the Taskforce, the authors have developed informatics tools, and begun collecting IMIA-related historical materials from its members, while soliciting participation and contributions from those involved in the early days of the organization and its predecessor IFIP-TC4. This poster describes the structure and preliminary contents of the media mining and presentation tools designed at Rutgers University for use by the IMIA History Editorial Board, being constituted to produce the 50th Anniversary publication, as well as an online archive of materials chronicling the evolution of IMIA. A major feature of the data repository is its ability to present different modalities of textual, visual and graphical (timelines, trends) summarizations for the IMIA document collection. It will be augmented with audio material, and will serve as an archival repository for historical research, including software tools for text analysis and extraction of the information entering into the 50th Anniversary volume.
10x10 Comes Full Circle: Spanish Version Back to United States in Puerto Rico
Authors: Margolis Alvaro  , Joglar Francisco  , de Quirós Fernán González Bernaldo  , Baum Analía  , Fernández Antonio  , García Sofía  , Arredondo Antonio López  , Hersh William R.
Published: February 2025

The adaptation of the 10x10 certificate program in health information systems for a Puerto Rican audience is described. The 10x10 program was initially developed in the USA by the Oregon Health Sciences University (OHSU), then adapted to Latin America by Hospital Italiano de Buenos Aires. Puerto Rico is in the intersection of the United States and Latin America, in terms of government, health care system, culture and language. Therefore, it seemed reasonable to re-adapt the program back to the USA, in Spanish, taking into account these facts and the experience of the team in delivering blended learning adapted to local needs. Forty professionals from Puerto Rico are currently taking the first version of the course, supported by the Regional Extension Center for Puerto Rico and the US Virgin Islands, and endorsed by the American Medical Informatics Association (AMIA).
Using a Model of Parallel Distributed Processing Associated with Data Mining in the Characterization of Sexuality in a University Population
Authors: de Azevedo Simões Priscyla Waleska Targino  , Martins Paulo João  , Casagrandre Rogério Antônio  , Madeira Kristian  , de Mattos Merisandra Côrtes  , Manenti Sandra Aparecida  , da Rosa Maria Inês  , Dal-Pizzol Felipe  , Venson Ramon  , Coral Leandro Natal  , de Souza Gabriel Scheffer  , Pandini Jeison Cleiton  , Cassettari Junior José Márcio  , Moretti Gustavo Pasquali  , Cesconetto Samuel
Published: February 2025

Using the framework for developing parallel applications Java Parallel Programming Framework were conducted performance analysis of an application for the clustering data by the method of fuzzy logic combined with Gustafson-Kessel algorithm. In addition to running in a distributed environment, for comparative purposes, were also conducted collections of processing time in environments with a single Personal Computer approach. With the results obtained by collecting time of application, there was a statistical analysis to validate the application and the algorithm as well as the use of computational clustering as a way to increase performance applications.
Cherry: Mobile Application for Children with Cancer
Authors: Berntsen Eirik  , Babic Ankica
Published: February 2025

The Cherry project seeks to address the information needs of young cancer patients, their parents, and health care providers. It aims at helping the patients to understand various aspects of their disease and treatment, and allow them to assess and record their disease related quality of life. It uses elements of social media to offer a meeting point with the physician and peers. Information is presented in a way that is both understandable and appealing to young children in school age and adolescents. Preschool children will be studied as a separate user group to address their needs and possibilities to meet them. The Cherry system wants to utilize Internet and mobile technologies to benefit patient outcome.
Optimizing Non-Invasive Blood Pressure Estimation Using Pulse Transit Time
Authors: Jeong In Cheol  , Finkelstein Joseph
Published: February 2025

Continuous blood pressure (BP) monitoring during exercise is an important means to ensure exercise safety, particularly in seniors and individuals with various comorbidities. Use of automated BP monitors is limited during exercise. Pulse transit time (PTT) has been suggested for non-invasive BP monitoring however its implementation into clinical practice was hampered by lack of non-expensive practical solutions. The goal of this project was to introduce and to test a practical low-cost solution for using PTT to estimate BP during exercise. Our approach was based on obtaining 3 calibration points during different levels of exertion for each subject and utilizing the resulting individualized BP estimation equitation for patient-specific monitoring of BP during home-based exercise. Evaluation of the proposed approach showed that the mean difference between reference systolic BP (SBP) and estimated systolic BP was 0.0 mmHg. The optimal way to calculate PTT has been established by comparison of three main characteristic points used to derive PTT.
Towards On-Line ADR Detection: An Innovative Data Cube-based Approach
Authors: Lin Wen-Yang  , Du Jhih-Wei
Published: February 2025

The problem of Adverse Drug Reactions (ADRs) detection is a key issue in the pharmacovigilance community. Although many related researches have been proposed in recent years, majority of them were concerned about the accuracy of the detected adverse drug reactions, very few paying attention to the performance issue of how to quickly accomplish the detection process. In this work, we propose the concept of multivalued-dimension contingency cube (MDC-cube) to facilitate multidimensional, fast and online detection of ADRs, especially those caused by drug interactions. Experiments conducted on the FDA AERS data set show that our MDC-cube based method is an order of magnitude faster than the state-of-the-art ABCM-MS method.
Continual Development of a Personalized Decision Support System
Authors: Demner-Fushman Dina  , Seckman Charlotte  , Fisher Cheryl  , Thoma George R.
Published: February 2025

Improving the safety, quality, and efficiency of care with the help of clinical decision support tools is one of the core objectives in the meaningful use of Electronic Health Records. Successful adoption of support systems depends on the quality of delivered information, its relevance to the clinical task and individual patient, integration of the system with the entire clinical workplace, and ease of use of the system. This paper presents continuous development and evaluation, as well as lessons learned in development and maintenance of an evidence-based system that supports development of individualized patient care plans. Since its deployment in August 2009, the Evidence-Based Practice InfoBot (EBP InfoBot) system is in daily use at the NIH Clinical Center and responds to 21 requests a day, on average.
Mining Information Dependency in Outpatient Encounters for Chronic Disease Care
Authors: Sun Wen  , Shen Weijia  , Li Xiang  , Cao Feng  , Ni Yuan  , Liu Haifeng
Published: February 2025

Chronic disease care, e.g., care of type 2 diabetes mellitus, is a long-term, complex process involving collaboration and coordination among multiple healthcare providers. To facilitate and accelerate the process, it is key to understand the information flow and identify the information dependency (e.g., temporal dependency of co-occurrence and sequential occurrence) during care provision, which is also the objective of this work. Since most health interventions and decisions are made in outpatient encounters for chronic patients, in this paper, we propose an approach to mine temporal information dependency in outpatient encounter records using sequential pattern mining techniques. By exploring the real data of over 10,000 type 2 diabetes patients from three hospitals, the proposed approach effectively works out sets of meaningful information dependency patterns for different patient groups. The discovered information dependency can be used to guide the information sharing between different health providers, and optimize the chronic disease care coordination.
Assessing the Usage of a Guideline-Driven Interactive Case Simulation Tool for Insomnia Screening and Treatment in an HIV Clinical Education Program
Authors: Le Xuan Hung  , Luque Amneris E.  , Wang Dongwen
Published: February 2025

Interactive case simulation tools (ICSTs) are important vehicles to disseminate medical knowledge. We conducted a study to examine the usage of an insomnia screening and treatment case simulation tool in an HIV clinical education program. Using system usage diagrams (SUDs) as an instrument, we quantified visit frequency and length of stay for different types of system resources. Preliminary results have shown that both recommendations and interactive decision diagrams were frequently used, with the former having a longer length of stay but fewer visits. Case simulation functions seemed to be able to engage users. Future research is required to verify the generalizability of the identified usage patterns, to investigate issues in usability design, and to perform correlation analyses on system usage and context parameters.
International Priorities for Research in Nursing Informatics for Patient Care
Authors: Dowding Dawn W.  , Currie Leanne M.  , Borycki Elizabeth  , Clamp Susan  , Favela Jesus  , Fitzpatrick Geraldine  , Gardner Peter  , Hamer Susan  , Hardiker Nicholas  , Johnson Owen  , Lawton Rebecca  , O'Brien Ann  , Randell Rebecca  , Westbrook Johanna  , Whitewood-Moores Zac  , Dykes Patricia C.
Published: February 2025

The Nursing Informatics International Research Network (NIIRN) is a group of experts who are collaborating on the development of internationally relevant research programs for nursing informatics. In this paper we outline key findings of a survey exploring international research priorities for nursing informatics. The survey was available online during May–August 2012. Respondents were asked to rate each of 20 listed research topics in terms of respondent's views of its priority for nursing informatics research. 468 completed surveys were received representing respondents from six World Health Organization regions. The two most highly ranked areas of importance for research were development of systems to provide real time feedback to nurses and assessment of the impact of HIT on nursing care and patient outcomes. The lowest ranked research topics were theory development and integrating genomic data into clinical information systems. The identification of these priorities provides a basis for future international collaborative research in the field of nursing informatics.
Clustering and Summarising Association Rules Mined from Phenotype, Genotype and Environmental Data Concerning Age-Related Hearing Impairment
Authors: Iltanen Kati  , Kiviharju Sami  , Ao Lida  , Juhola Martti  , Pyykkö Ilmari
Published: February 2025

In this study, we examine the applicability of association rules for analysing high-dimensional data concerning age-related hearing impairment (ARHI). The ARHI data of the study contain hundreds of variables concerning phenotype, genotype and environmental factors. The number of association rules produced from the data is too large for manual exploration in the raw and furthermore, the rules are overlapping. Thus, the focus of our study is to develop an approach to cluster association rules into subsets and to summarise and represent the found rule subsets for easier exploration of rules. The results show that it is possible to efficiently extract rules representing interesting environmental factor-gene or gene-gene interactions. Finding suitable parameters for the association rule mining and the possibility to post-process the mined rules is essential. The developed approach facilitates rule exploration by grouping rules with items concerning the same phenomenon to the same subset and byrevealing overlapping rules.
Building a Knowledge Base of Severe Adverse Drug Events Based on AERS Reporting Data Using Semantic Web Technologies
Authors: Jiang Guoqian  , Wang Liwei  , Liu Hongfang  , Solbrig Harold R.  , Chute Christopher G.
Published: February 2025

A semantically coded knowledge base of adverse drug events (ADEs) with severity information is critical for clinical decision support systems and translational research applications. However it remains challenging to measure and identify the severity information of ADEs. The objective of the study is to develop and evaluate a semantic web based approach for building a knowledge base of severe ADEs based on the FDA Adverse Event Reporting System (AERS) reporting data. We utilized a normalized AERS reporting dataset and extracted putative drug-ADE pairs and their associated outcome codes in the domain of cardiac disorders. We validated the drug-ADE associations using ADE datasets from SIDe Effect Resource (SIDER) and the UMLS. We leveraged the Common Terminology Criteria for Adverse Event (CTCAE) grading system and classified the ADEs into the CTCAE in the Web Ontology Language (OWL). We identified and validated 2,444 unique Drug-ADE pairs in the domain of cardiac disorders, of which 760 pairs are in Grade 5, 775 pairs in Grade 4 and 2,196 pairs in Grade 3.
A Diet Management Information and Communication System to Help Chronic Kidney Patients Cope with Diet Restrictions
Authors: Heiden Sisse  , Buus Amanda A.  , Jensen Morten H.  , Hejlesen Ole K.
Published: February 2025

Hyperphosphatemia, hyperkalemia, and fluid overload are frequently observed and pose major physiological concerns in chronic kidney patients. The problems are closely related to inadequate diet and phosphate binder intake, which are considerable challenges for many patients. The objective of this study was to develop and test an educational decision support system to help kidney patients cope with diet restrictions and phosphate binder dosage. A prototype was designed including three main functions: 1) information and education, 2) food analyser database and diet registration, and 3) model-based decision support to phosphate binder dosage. The functions and the usability of the prototype were evaluated through user testing and qualitative interviews including five kidney patients. The decision support function was modified and tested using experimental data. In conclusion, the system was evaluated to be a relevant, and potentially beneficial tool to cope with kidney diet restrictions. Further data are necessary to validate the correct phosphate binder dosage and assess the ability of the system to decrease the incidence of fluid and electrolyte disorders in kidney patients.
Envisioning the Future of Home Care: Applications of Immersive Virtual Reality
Authors: Brennan Patricia Flatley  , Arnott Smith Catherine  , Ponto Kevin  , Radwin Robert  , Kreutz Kendra
Published: February 2025

Accelerating the design of technologies to support health in the home requires 1) better understanding of how the household context shapes consumer health behaviors and (2) the opportunity to afford engineers, designers, and health professionals the chance to systematically study the home environment. We developed the Living Environments Laboratory (LEL) with a fully immersive, six-sided virtual reality CAVE to enable recreation of a broad range of household environments. We have successfully developed a virtual apartment, including a kitchen, living space, and bathroom. Over 2000 people have visited the LEL CAVE. Participants use an electronic wand to activate common household affordances such as opening a refrigerator door or lifting a cup. Challenges currently being explored include creating natural gesture to interface with virtual objects, developing robust, simple procedures to capture actual living environments and rendering them in a 3D visualization, and devising systematic stable terminologies to characterize home environments.