bluuebunny/crossref_metadata_2025 huggingface dataset:
Automated Synthesis and Visualization of a Chemotherapy Treatment Regimen Network
Authors: Warner Jeremy  , Yang Peter  , Alterovitz Gil
Published: February 2025

Cytotoxic treatments for cancer remain highly toxic, expensive, and variably efficacious. Many chemotherapy regimens are never directly compared in randomized clinical trials (RCTs); as a result, the vast majority of guideline recommendations are ultimately derived from human expert opinion. We introduce an automated network meta-analytic approach to this clinical problem, with nodes representing regimens and edges direct comparison via RCT(s). A chemotherapy regimen network is visualized for the primary treatment of chronic myelogenous leukemia (CML). Node and edge color, size, and opacity are all utilized to provide additional information about the quality and strength of the depicted evidence. Historical versions of the network are also created. With this approach, we were able to compactly compare the results of 17 CML regimens involving RCTs of 9700 patients, representing the accumulation of 45 years of evidence. Our results closely parallel the recommendations issued by a professional guidelines organization, the National Comprehensive Cancer Network (NCCN). This approach offers a novel method for interpreting complex clinical data, with potential implications for future objective guideline development.
Feasibility of Interactive Biking Exercise System for Telemanagement in Elderly
Authors: Finkelstein Joseph  , Jeong In Cheol
Published: February 2025

Inexpensive cycling equipment is widely available for home exercise however its use is hampered by lack of tools supporting real-time monitoring of cycling exercise in elderly and coordination with a clinical care team. To address these barriers, we developed a low-cost mobile system aimed at facilitating safe and effective home-based cycling exercise. The system used a miniature wireless 3-axis accelerometer that transmitted the cycling acceleration data to a tablet PC that was integrated with a multi-component disease management system. An exercise dashboard was presented to a patient allowing real-time graphical visualization of exercise progress. The system was programmed to alert patients when exercise intensity exceeded the levels recommended by the patient care providers and to exchange information with a central server. The feasibility of the system was assessed by testing the accuracy of cycling speed monitoring and reliability of alerts generated by the system. Our results demonstrated high validity of the system both for upper and lower extremity exercise monitoring as well as reliable data transmission between home unit and central server
Nursing Informatics AND Nursing Ethics: Addressing Their Disconnect Through an Enhanced TIGER-vision
Authors: Kaltoft Mette Kjer
Published: February 2025

All healthcare visions, including that of The TIGER (Technology-Informatics-Guiding-Educational-Reform) Initiative envisage a crucial role for nursing. However, its 7 descriptive pillars do not address the disconnect between Nursing Informatics and Nursing Ethics and their distinct communities in the clinical-disciplinary landscape. Each sees itself as providing decision support by way of information inputs and ethical insights, respectively. Both have reasons – ideological, professional, institutional – for their task construction, but this simultaneously disables each from engaging fully in the point-of-(care)-decision. Increased pressure for translating ‘evidence-based’ research findings into ‘ethically-sound’, ‘value-based’ and ‘patient-centered’ practice requires rethinking the model implicit in conventional knowledge translation and informatics practice in all disciplines, including nursing. The aim is to aid ‘how nurses and other health care scientists more clearly identify clinical and other relevant data that can be captured to inform future comparative effectiveness research. ‘A prescriptive, theory-based discipline of ’(Nursing) Decisionics' expands the Grid for Volunteer Development of TIGER's newly launched virtual learning environment (VLE). This provides an enhanced TIGER-vision for educational reform to deliver ethically coherent, person-centered care transparently.
Applying Predictive Analytics to Develop an Intelligent Risk Detection Application for Healthcare Contexts
Authors: Moghimi Fatemeh Hoda  , Cheung Michael  , Wickramasinghe Nilmini
Published: February 2025

Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data and big data issues coupled with a rapid increase of service demands in healthcare contexts today, requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Such a context is appropriate for the application of real time intelligent risk detection decision support systems using predictive analytic techniques such as data mining. To illustrate the power and potential of data science technologies in healthcare decision making scenarios, the use of an intelligent risk detection (IRD) model is proffered for the context of Congenital Heart Disease (CHD) in children, an area which requires complex high risk decisions that need to be made expeditiously and accurately in order to ensure successful healthcare outcomes.
A System for Health Promotion Using Tele-Homecare Technology in Community
Authors: Honda Masayuki  , Matsumoto Takehiro  , Hirose Misaki
Published: February 2025

We have developed a system for health promotion of regional inhabitants, using CATV network at Tsushima Island in Nagasaki, Japan from 2010 to 2012. This system was provided by five kinds of services such as safety confirmation system, monitoring system of vital signs, sharing system for healthcare information, supervised administration system (compliance check of medicines), and local community TV program. Based on this experience we have been challenging a new trial at Kinkai district in Nagasaki which is aimed to be sustainable and helpful servicesboth for patients and staffs.
Health Informatics Community Priming in a Small Nation: The New Zealand Experience
Authors: Parry David  , Hunter Inga  , Honey Michelle  , Holt Alec  , Day Karen  , Kirk Ray  , Cullen Rowena
Published: February 2025

New Zealand (NZ) has a rapidly expanding health information technology (IT) development industry and wide-ranging use of informatics, especially in the primary health sector. The New Zealand government through the National Health IT Board (NHITB) has promised to provide shared care health records of core information for all New Zealanders by 2014. One of the major barriers to improvement in IT use in healthcare is the dearth of trained and interested clinicians, management and technical workforce. Health Informatics New Zealand (HINZ) and the academic community in New Zealand are attempting to remedy this by raising awareness of health informatics at the grass roots level via free “primer” workshops and by developing a sustainable cross-institutional model of educational opportunities. Support from the NHITB has been forthcoming, and the workshops start in early 2013. This poster presents the process, development and preliminary findings of this work.
Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription – An Exploratory Study
Authors: Feng Jianzhou  , Shen Weijia  , Cao Feng  , Ni Yuan  , Cai Peng  , Sun Wen  , Li Xiang
Published: February 2025

In this paper, we propose a data mining method for exploring the decision-making processes of physicians from electronic patient records and test it on the medical records of patients with type-2 diabetes mellitus. This method runs in two modes: general and partitioned. In the general mode, it mines rules from the whole medical records. In the partitioned mode, with a given partition factor, medical records are assigned into categories and a corresponding set of rules will be discovered for each category. Medication prescription predictions can be provided based on these rules. By comparing mined rules and prescription prediction accuracy under different modes, we discover that: 1) both the averaged precision and recall rate of the general mode can reach around 80%; 2) physicians tend to conform to the guideline instead of having their own preferences; 3) the medication decision can be affected by some hidden factors. These findings suggest this method show promise in discovering physician practice patterns and obtaining insights from real medical records.
An Analysis of the Openehr Archetype Semantics Based on a Typed Lambda Theory
Authors: Tatsukawa Akimichi  , Shinohara Emiko Y.  , Kawazoe Yoshimasa  , Imai Takeshi  , Ohe Kazuhiko
Published: February 2025

The openEHR has adopted the dual model architecture consisting of Reference Model and Archetype. The specification, however, lacks formal definitions of archetype semantics, so that its behaviors have remained ambiguous. The objective of this poster is to analyze semantics of the openEHR archetypes: its variance and mutability. We use a typed lambda calculus as an analyzing tool. As a result, we have reached the conclusion that archetypes should be 1) covariant and 2) immutable schema.
Concept for Preservation and Reuse of Genome and Biomedical Imaging Research Data
Authors: Gruetz Romanus  , Franke Thomas  , Dickmann Frank
Published: February 2025

The German Research Foundation (DFG) recommends preserving research data for at least ten years. The DFG funded project LABIMI/F establishes an infrastructure for preservation, retrieval and reuse of biomedical research data based on grid/cloud computing technology for two applications a) genome and b) imaging data. The requirements for this infrastructure were determined during workshops with relevant stakeholders. Afterwards product evaluations were conducted and the relevant products were integrated into the infrastructure concept. In this paper, we address the suitability of our solution concerning the fulfillment of the requirements. It is shown that the solution satisfies five of the eight requirement categories completely and the other three categories partly. Furthermore, in order to prove the adherence to the widely accepted Open Archival Information System (OAIS) standard, we successfully performed a mapping of our technical components to the functional entities of the OAIS.
Organising and Presenting Information
Authors: Kankanady Raghavendra  , Wells Marilyn
Published: February 2025

Information management can be a daunting process for clinicians, health care providers and policy makers within the health care industry. This chapter discusses the importance of information classification and information architecture in the information economy and specific challenges faced within the health care industry. The healthcare sector has industry specific requirements for information management, standards and specifications for information presentation. Classification of information based on information criticality and the value in the health care industry is discussed in this paper. Presentation of information with reference to eHealth standards and specifications for healthcare information systems and their key requirements are also discussed, as are information architecture for eHealth implementation in Australia. This chapter also touches on information management and clinical governance since the importance of information governance is discussed by various researchers and how this is becoming of value to healthcare information management.
Using personas as an intermediate construct in the development of tailored messages: a Case Study
Authors: Vosbergen Sandra  , Wiggers Anne-Marieke  , Lacroix Joyca  , Jaspers Monique  , Peek Niels
Published: February 2025

Tailoring health education messages to patients' preferences for message style is believed to increase patients' susceptibility to the given advice. This paper presents a persona-centered approach towards creating tailored health messages for chronically ill patients. A case study of tailoring messages to the preferences of patients with coronary heart disease illustrates the approach and shows the need for patient-centered data collection so that personas reflect patients' preferences. Based on these personas, a manageable set of tailored messages can be created in a step-by-step approach.
Technology-Induced Errors: Where Do They Come From and What Can We Do About Them?
Authors: Borycki Elizabeth M.
Published: February 2025

The introduction of health information technology (HIT) has been associated with a decrease in medical error and this has been one of the main reasons for international efforts at increasing adoption of systems such as electronic health records, computerized physician order entry and clinical decision support systems. However, in recent years there is growing evidence that if not designed and tested properly such HIT can also lead to new categories of errors that were previously unseen in healthcare. These errors are known as technology-induced errors and they typically manifest themselves in the complex interaction between healthcare providers and HIT during real clinical use. In this paper the author explores the concept of technology-induced error in healthcare and discusses a range of strategies for detecting and mitigating such errors. Strategies include creating new organizations whose focus is to reduce technology-induced errors, develop and deploy new ways to detect such errors before systems are released, as well as approaches to reporting such errors after they occur. Other strategies include the development of regulation and policy to reduce such errors. It is argued that a multi-faceted approach to dealing with technology-induced error is needed.
Using patient-reported experiences for pharmacovigilance?
Authors: Adams Samantha A.
Published: February 2025

Recent international guidelines encourage more prominent placement of patient-generated information about medications on the pharmacovigilance information landscape. Online platforms where patients share medication experiences with one another and with healthcare professionals are one possible avenue to accomplishing this goal. Public reports of medication-related events posted on the web, however, are under-utilized in the pharmacovigilance community. Moreover, little is known about who writes such reviews, what information is shared and how this information can be used by authorities. This paper reports the first results of a study of user and comment characteristics on a European-based platform.
Towards Effective, Consent Based Control of Personal Data
Authors: Whitley Edgar A.
Published: February 2025

The principle of consent is widely seen as a key mechanism for enabling user-centric data management. Informed consent has its origins in the context of medical research but the principle has been extended to cover the lawful processing of personal data. In particular, the proposed EU regulation on data protection seeks to strengthen the consent requirements moving them from unambiguous to explicit. Nevertheless, there are a number of limitations to the way that even explicit consent operates in real-life situations which suggest that an alternative, more dynamic form of consent is needed. This chapter reviews the key concerns with static forms of consent for the control of personal data and proposes a technologically mediated form of dynamic consent instead.
System Support Engineering Application: a Refinery Case
Authors: Alsaidi Mohammed  , Mo John P.T.
Published: February 2025

Modern refineries are complex, very high in value and production. They are expected to function for years to come, with ability to handle the change in technology and feed quality. The aging of a refinery and continues increase of vendors and contractors numbers forces the refinery's operation management to design a support system which can capture these changes. Furthermore, an accurate performance measurement and risk evaluation processes are highly needed. Therefore, this paper explores the nature of the support system design for a refinery. The research work explores the operation support system from a range of perspectives, interviewing managers from across the refinery organization. The factors contributing to complexity of a support system are described in context is presented which clusters them into several key areas. It is proposed that this framework may then be used as a tool for analysis and management of support system. The paper will conclude with discussion of potential application of the framework and opportunities for future work.
Focussed Web Based Collaboration for Knowledge Management Support
Authors: Oellrich Marc  , Mantwill Frank
Published: February 2025

Knowledge Management is one of the key abilities of an enterprise to face the future where the competition in the globalised world gets harder. Web based systems can support this challenge and help to succeed. This concept presents a web based system to work directly inside the browser. It is project based and includes several of the product development methodology tools which are combined and extended by already established internet technologies. As it will be shown, facilitates these features focussed information streams and collaboration to support the Knowledge Management and with it the product development quality. It also sketches the possibilities of an Inhouse Open Innovation system where all employees can participate.
Sustainability Indicators for the Product Development Process in the Auto Parts Industry
Authors: Ussui Paulo Roberto Savelli  , Borsato Milton
Published: February 2025

The severe environmental degradation caused by human activities in recent decades has forced organizations, especially those related to the auto parts industry, to take actions and measures in order to reduce or eliminate the negative effects caused by industrial activities. Those measures aim to cover various aspects within companies, and require an appropriate measurement system for the verification of their effectiveness. In this sense, sustainability indicators have grown in importance because they allow assessing the level of sustainability from various entities, identifying the potential for improvement and the progress achieved. Despite the great variety of existing indicators, there are still unexplored areas, such as indicators for product development. The present paper proposed a set of sustainability indicators, aiming to contribute to the creation of more sustainable products and guiding the development process from the earliest stages of product development. This set of indicators, which were divided into product and design indicators, were defined based on the best practices and recommendations from various techniques such as design for environment and sustainability, and the study of existing sustainability indicators. While product indicators present a technical character, as they provide means for evaluating the product characteristics in a quantitative way, design indicators present a managerial approach, in order to assess whether the main aspects and techniques of design for sustainability are being considered throughout the development process, in a qualitative way. The result was a set of 23 product indicators and 26 design indicators, including metrics that were simplified and adapted according to the characteristics and requirements of each phase of a product development process. The proposed indicators were applied on the development of a new component for the auto parts industry and demonstrated to be very useful in guiding the development team to design sustainable products.
Aero-Structure Direct Operating Cost Estimation and Sensitivity Analysis Within a Knowledge Based Engineering System
Authors: Zhao Xiaojia  , Curran Richard
Published: February 2025

This paper presents a methodology to incorporate Direct Operating Cost (DOC), Surplus Value (SV) and Sensitivity Analysis (SA) into a Knowledge Based Engineering (KBE) system. Based on a parametrically modeled product geometry, the system automatically generates manufacturable geometry as well as the material and production data required by the Product Breakdown Structure (PBS) and the Bill Of Materials (BOM). By taking each item from the BOM, DOC is estimated using a production cost module and simplified weight estimation module. The presented application is able to perform an SA with respect to the geometric factors The parameterization of the geometry definition and the subsequent integration of automated DOC estimation provide a practical example of an advanced concurrent engineering applications. It strengthens aero-structure conceptual design from the cost perspective. Because this design and analysis system is highly integrated and automated, the benefits in terms of short design time and moderate effort are highlighted. The overall findings lead to further analysis on aero-structure performance from a life cycle and total value perspective.
Tele-MFAsT: Kinect-Based Tele-Medicine Tool for Remote Motion and Function Assessment
Authors: Kurillo Gregorij  , Han Jay J.  , Nicorici Alina  , Bajcsy Ruzena
Published: February 2025

We present work-in-progress on framework for 3D Kinect-based remote motion and function assessment. Tele-MFAsT facilities streaming of data (video, depth, skeleton, and audio) from network-connected Microsoft Kinect cameras that can be utilized to observe a patient remotely during function assessment by a physician or therapist, measure motion trajectories, and joint angles, while taking advantage of tele-presence in a 3D virtual environment. The network architecture also allows for integration with wireless sensors in the future. In this paper we describe Tele-MFAsT application for upper-body range of motion measurements.
A Method for Semi-Automatic Nuchal Translucency Thickness Measurement
Authors: Pakdaman Nashmin  , Arabalibeik Hossein  , Ghaffari Saeed Reza  , Tahmasbpour Ahmad Reza
Published: February 2025

Increased nuchal translucency (NT) thickness is associated with major abnormalities of the heart, great arteries and a wide range of genetic syndromes. NT thickness is one of the most important ultrasound markers in fetal diseases screening. To find an applicable method that accurately detects NT, we use an algorithm based on modified level set for semi-automated segmentation of the region. A regression model is used to find the appropriate direction of NT thickness measurement. The results show 4.5% error.
A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training
Authors: Wijewickrema Sudanthi  , Ioannou Ioanna  , Zhou Yun  , Piromchai Patorn  , Bailey James  , Kennedy Gregor  , O'Leary Stephen
Published: February 2025

Timely feedback on surgical technique is an important aspect of surgical skill training in any learning environment, be it virtual or otherwise. Feedback on technique should be provided in real-time to allow trainees to recognize and amend their errors as they occur. Expert surgeons have typically carried out this task, but they have limited time available to spend with trainees. Virtual reality surgical simulators offer effective, repeatable training at relatively low cost, but their benefits may not be fully realized while they still require the presence of experts to provide feedback. We attempt to overcome this limitation by introducing a real-time feedback system for surgical technique within a temporal bone surgical simulator. Our evaluation study shows that this feedback system performs exceptionally well with respect to accuracy and effectiveness.
Comparison of Clinical Practice Guidelines from a Knowledge Modelling Perspective: a Case Study with the Management of Hypertension
Authors: Galopin Alexandre  , Bouaud Jacques  , Pereira Suzanne  , Séroussi Brigitte
Published: February 2025

Hypertension, as a cardiovascular risk factor, is a public health issue for which many clinical practice guidelines (CPGs) are published. In order to build the knowledge base of a clinical decision support system for the management of hypertension, we analysed three contemporary (2013) CPGs written in French on hypertension in a knowledge modelling perspective. We developed a semi-automated method using natural language processing called term extraction. Relevant candidate terms have been mapped to medical concepts to produce the conceptual coverage of each CPG. Only 53% of the 88 identified concepts were shared by the three guidelines. While sharing concepts does not warrantee that CPGs contents are similar, this also emphasizes guideline specificities. Such specificities could enrich the knowledge base of decision support systems by broadening their scope.
Practical Implementation of a Bridge between Legacy EHR System and a Clinical Research Environment
Authors: Vishnyakova Dina  , Bottone Sylviane  , Pasche Emilie  , Lovis Christian
Published: February 2025

Employing the bridge between Clinical Information System (CIS) and Clinical Research Environment (CRE) can provide functionality, which is not easily, implemented by traditional legacy EHR system. In this paper, the experience of such implementation at the University Hospitals of Geneva is described. General overview of the mapping of extracted from CIS data to the i2b2 Clinical Data Warehouse is provided. The defined implementation manages to provide the interoperability for the CRE.
Human Activity Classification with Inertial Sensors
Authors: Silva Joana  , Monteiro Miguel  , Sousa Filipe
Published: February 2025

Monitoring human physical activity has become an important research area and is essential to evaluate the degree of functional performance and general level of activity of a person. The discrimination of daily living activities can be implemented with machine learning techniques. A public dataset provided during the European Symposium on Artificial Neural Networks 2013, with time and frequency domain features extracted from raw signals of the smartphone inertial sensors, was used to implement and evaluate an activity classifier. Using a decision tree classifier, an accuracy of 86% was achieved for the classification of walk, climb stairs, stand, sit, and lay down. The results obtained suggest that the smartphone's inertial sensors could be used for an accurate physical activity classification even with real-time requirements.
Towards Assisted Moderation in Online Healthcare Social Networks: Improving Trust in YouTube Searches
Authors: Cañon Daniel E.  , Lopez Diego M.  , Blobel Bernd
Published: February 2025

Moderation of content in online Health Social Networks (HSN) is critical because information is not only published and produced by experts or health professionals, but also by users of that information. The objective of this paper is to propose a semi-automatic moderation Web Service for assessing the quality (trustworthiness) of health-related videos published on the YouTube social network. The service is relevant for moderators or community managers, who get enabled to control the quality of videos published on their online HSN sites. The HealthTrust metric was selected as the metric to be implemented in the service in order to support the assessment of trustworthiness of videos in Online HSN. The service is a RESTful service which can be integrated into open source Virtual Social Network Platforms, therefore improving trust in the process of searching and publishing content extracted from YouTube. A preliminary pilot evaluation in a simple use case demonstrated that the relevance of videos retrieved using the moderation service was higher compared to the relevance of the videos retrieved using the YouTube search engine.
A Wireless Sensor Insole for Collecting Gait Data
Authors: Rösevall John  , Rusu Cristina  , Talavera Guillermo  , Carrabina Jordi  , Garcia Joan  , Carenas Carlos  , Breuil Fanny  , Reixach Elisenda  , Torrent Marc  , Burkard Stefan  , Colitti Walter
Published: February 2025

This paper presents the status of the EU project WIISEL - Wireless Insole for Independent and Safe Elderly Living, with the focus on sensors and wireless communications. Pressure and inertial sensors are embedded into insoles and a smartphone collects data utilizing Bluetooth Low Energy.
IT-Benchmarking of Clinical Workflows: Concept, Implementation, and Evaluation
Authors: Thye Johannes  , Straede Matthias-Christopher  , Liebe Jan-David  , Hübner Ursula
Published: February 2025

Due to the emerging evidence of health IT as opportunity and risk for clinical workflows, health IT must undergo a continuous measurement of its efficacy and efficiency. IT-benchmarks are a proven means for providing this information. The aim of this study was to enhance the methodology of an existing benchmarking procedure by including, in particular, new indicators of clinical workflows and by proposing new types of visualisation. Drawing on the concept of information logistics, we propose four workflow descriptors that were applied to four clinical processes. General and specific indicators were derived from these descriptors and processes. 199 chief information officers (CIOs) took part in the benchmarking. These hospitals were assigned to reference groups of a similar size and ownership from a total of 259 hospitals. Stepwise and comprehensive feedback was given to the CIOs. Most participants who evaluated the benchmark rated the procedure as very good, good, or rather good (98.4%). Benchmark information was used by CIOs for getting a general overview, advancing IT, preparing negotiations with board members, and arguing for a new IT project.
An Arden-Syntax-Based Clinical Decision Support Framework for Medical Guidelines—Lyme Borreliosis as an Example
Authors: Seitinger Alexander  , Fehre Karsten  , Adlassnig Klaus-Peter  , Rappelsberger Andrea  , Wurm Elisabeth  , Aberer Elisabeth  , Binder Michael
Published: February 2025

Medicine is evolving at a very fast pace. The overwhelming quantity of new data compels the practician to be consistently informed about the most recent scientific advances. While medical guidelines have proven to be an acceptable tool for bringing new medical knowledge into clinical practice and also support medical personnel, reading them may be rather time-consuming. Clinical decision support systems have been developed to simplify this process. However, the implementation or adaptation of such systems for individual guidelines involves substantial effort. This paper introduces a clinical decision support platform that uses Arden Syntax to implement medical guidelines using client-server architecture. It provides a means of implementing different guidelines without the need for adapting the system's source code. To implement a prototype, three Lyme borreliosis guidelines were aggregated and a knowledge base created. The prototype employs transfer objects to represent any text-based medical guideline. As part of the implementation, we show how Fuzzy Arden Syntax can improve the overall usability of a clinical decision support system.
Grief Support Groups in Second Life
Authors: Lubas Margaret M.  , De Leo Gianluca
Published: February 2025

Online grief support groups serve as an avenue of support for the bereaved. In the past, facilitators have criticized the ability to provide group participants with a sense of therapeutic support, given the lack of face-to-face interaction in online groups. However, with the growing technological advances, 3-D virtual worlds, such as Second Life, may increase a participant's sense of presence and improve their group experience. A web-based survey was utilized to explore facilitator attitudes towards grief support groups in Second Life.
The Impact of Cyberstalking: The Lived Experience - A Thematic Analysis
Authors: Short Emma  , Linford Sarah  , Wheatcroft Jacqueline M.  , Maple Carsten
Published: February 2025

Cyberstalking (CS) can have major psychosocial impacts on individuals. Victims report a number of serious consequences of victimization such as increased suicidal ideation, fear, anger, depression, and post traumatic stress disorder (PTSD) symptomology. Research is largely limited to quantitative outcome research. This study examines the diversity of experiences reported by people who define themselves as having been cyberstalked. Thematic analysis was used to explore 100 CS victim narratives, gathered by means of an online survey questionnaire designed to capture structured text responses. Five emergent themes were evident in the data: control and intimidation; determined offender; development of harassment; negative consequences; and lack of support. Findings identify similarities and differences to traditional stalking, along with the necessity of support for victims and illustration of the negative impacts this form of harassment produces.
Attitudes of Student Nurses Enrolled in E-Learning Course Towards Academic Dishonesty: A Descriptive-Exploratory Study
Authors: Tayaben Jude L.
Published: February 2025

The author investigated attitudes of nursing students enrolled in e-Learning towards academic dishonesty. The descriptive-exploratory design was used in the conduct of the study. Respondents were randomly selected 36 junior and senior nursing students. It revealed that nursing students perceived as neutral (mean = 2.77, mean = 3.17) in taking responsibility for promoting academic integrity in e-learning. The paraphrasing a sentence from internet source without referencing it (38.89%) got the most form of cheating. Female and level four (4) nursing students revealed as the most cheaters. The reasons not to cheat, nursing students considered punishment, and education or learning (91.67%) got the highest in ranks, and simply wrong (75%) got the lowest rank. Hence, there is a need to look on how to maintain academic honesty among nursing students in and out of the university with respect to e-learning as a means of teaching-learning method.
Physician and Consumer Acceptance of the Traditional Chinese Medicine Clinical Practice Support Sustem (TCMCPSS)
Authors: Lai Tsai-Ya  , Tseng Yu-Ting  , Lee Chin-Ni
Published: February 2025

Although ICT-enabled clinical practices have been widely accepted by the Western medical society, informatics applications for traditional Chinese medicine (TCM) are under developed. An integrated traditional Chinese medicine clinical practice support system (TCMCPSS) has been developed to enhance data integration automation and treatment planning decision support of clinical practice of TCM. The acceptance of TCMCPSS had been assessed by 26 TCM physicians based on information clarity, clinical relevancy, and theoretical relevancy through a survey questionnaire using the 5-points Likert Scale. The average acceptance rate was 3.76. One hundred and fifty-four participants were recruited for the TCMCPSS feasibility study and reported the acceptance rate of 90%. The results indicated that while consumers were ready to embrace TCM practice assisted by informatics technologies, TCM physicians concerned more about the usefulness of the system and preserved caution to adopt TCMCPSS.
A Comparison of Australian and Canadian Informatics Competencies for Undergraduate Nurses
Authors: Borycki Elizabeth M.  , Foster Joanne
Published: February 2025

Health information technologies (HIT) have changed healthcare delivery. Yet, there are few opportunities for student nurses in their undergraduate studies to develop nursing informatics competencies. More importantly, many countries around the world have not fully specified nursing informatics competencies that will be expected of student nurses prior to their graduation from undergraduate nursing programs. In this paper the authors compare and contrast the undergraduate nursing informatics competencies that were developed by two countries: Australia and Canada. They also identify some of the challenges and future research directions in the area.
Relationship between Nursing Students' Preference for Types of Teaching Materials and Learning Effects of Self-Learning Tool
Authors: Kitajima Yasuko  , Yamashita Masako  , Nakamura Mitsuhiro  , Maeda Jukai  , Aida Kyouko  , Kanai-Pak Masako  , Huang Zhifeng  , Nagata Ayanori  , Ogata Taiki  , Kuwahara Noriaki  , Ota Jun
Published: February 2025

The purpose of this study was to investigate the relationship between learning effects of the self-learning tool for nursing students and types of teaching materials. Ten nursing students were asked to perform transfer a patient from bed to wheelchair after watching the demo video and practicing 20 minutes. The students' performance was evaluated before and after practicing. The students were also asked to choose teaching materials that would be developed in the future. Out of nine teaching materials, the students chose seven of them. Correspondence analysis was conducted between the results of the evaluation of students' transfer technique and their preference of teaching materials. The results indicated that there was no relationship between the preference of teaching materials and the scores of transfer techniques. The authors concluded that the self-learning was not affected by the preference of teaching materials.
Can Big Data Transform Electronic Health Records Into Learning Health Systems?
Authors: Harper Ellen
Published: February 2025

In the United States and globally, healthcare delivery is in the midst of an acute transformation with the adoption and use of health information technology (health IT) thus generating increasing amounts of patient care data available in computable form. Secure and trusted use of these data, beyond their original purpose can change the way we think about business, health, education, and innovation in the years to come. “Big Data” is data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.
Continuity of Care with HL7 v3 Care Record for Oncology Nursing
Authors: Duim Mitchell  , Boterenbrood Frank  , Goossen William T. F.
Published: February 2025

The Clinical Data Ware House needs to meet three functions: reporting quality indicators, clinical research, and continuity of care. This paper reports on one function, namely the development and testing of data exchange for continuity of nursing care for oncology patients. The proof of principle was carried out using system analysis, requirements setting, system design, system development and experiment with the application of Health Level 7 version 3 Care Record electronic message. A successful testing of the Care Record message was conducted, using a case based data-subset for oncology nursing care including personal data, pain, weight and vital signs, among others. Conclusion: The development illustrated that the system components facilitate electronic data exchange from hospital to home care, allowing home care nurses to use received clinical data in their local system. In an incremental approach this data exchange can be enhanced to meet all data and all systems requirements.
A Virtual Platform for Electronic Health Record (EHR) Education for Nursing Students: Moving from In-House Solutions to the Cloud
Authors: Kushniruk Andre W.  , Kuo Mu-Hsing  , Parapini Eric  , Borycki Elizabeth M.
Published: February 2025

There is a need to develop cost effective ways to bring hands-on education about essential information technologies, such as electronic health record (EHR) systems to nursing students, nursing faculty and practitioners. This is especially the case as worldwide there is an increased deployment of these systems and they are transforming the practice of healthcare. However, due to technical, financial and knowledge limitations, many nursing schools and programs do not have an adequate way to bring such technology into their classes and curricula. In this paper we describe an approach to developing Web-based EHR education that allows students from any Web-accessible location to access and work with real EHR systems remotely over the Internet for learning purposes. In this paper we describe our work in moving this approach to a cloud-based solution to allow access to EHRs for educational purposes from any location with Web access and to do so in a way that is both educationally sound and cost effective.
Infusing Informatics into Interprofessional Education: The iTEAM (Interprofessional Technology Enhanced Advanced practice Model) Project
Authors: Skiba Diane J.  , Barton Amy J.  , Knapfel Sarah  , Moore Gina  , Trinkley Katy
Published: February 2025

The iTEAM goal is to prepare advanced practice nurses, physicians and pharmacists with the interprofessional (IP) core competencies (informatics, patient centric, quality-focused, evidence based care) to provide technology enhanced collaborative care by: offering technology enhanced learning opportunities through a required informatics course, advanced practice courses (team based experiences with both standardized and virtual patients) and team based clinical experiences including e-health experiences. The innovative features of iTEAM project will be achieved through use of social media strategies, a web accessible Electronic Health Records (EHRs) system, a Virtual Clinic/Hospital in Second Life, various e-health applications including traditional telehealth tools and consumer oriented tools such as patient portals, social media consumer groups and mobile health (m-health) applications for health and wellness functions. It builds upon the schools' rich history of IP education and includes clinical partners, such as the VA and other clinical sites focused on care for underserved patient populations.
Electronic Lab Information Exchange (ELIE) in Saudi Arabia
Authors: Al Saleem Nouf  , El Metwally Ashraf  , Househ Mowafa
Published: February 2025

The purpose of this paper is to discuss the Saudi experience in implementing Electronic Lab Information Exchange (ELIE) within healthcare organizations in Saudi Arabia. This paper reviews the benefits, challenges and achievements that Saudi Arabia has gone through over the last five years in implementing ELIE. Data sources included academic literature, websites, and informant interviews. Results show that various Saudi healthcare organizations are participating in ELIE and improvements in laboratory department workflow and patient care have been reported. Future work includes projects to be implemented in different laboratories within the Kingdom to link the various laboratory information systems to Electronic Health Records. Various challenges stand in the way of implementing ELIE including weakness of the information infrastructure, staff resistance, recruiting qualified staff to develop and implement ELIE, producing clear policy and procedures to ensure staff compliance with the data entry, ensuring the privacy and integrity of patient data, and the lack of awareness on the importance of ELIE.
A “Smart” m-health Application for Travelers: The Public's Opinion
Authors: Gallos Parisis  , Kaitelidou Dafni  , Velonakis Emmanuel  , Mantas John
Published: February 2025

This paper describes an empirical study which evaluates the Greek population perceptions on a “Smart” m-health application for Travelers, their attitude towards use, and their intention to use it. Based on TAM, IDT and other research works, a theoretical model was empirically constructed and then validated. The sample was 313 individuals, who most of them travel frequently and using Smartphone. Data analysis was performed using partial least squares path modeling. Results highlight the very strong significant effect of perceived usefulness, relative advantage and compatibility as well as, the significant effect of perceived ease of use to attitude towards using a “Smart” m-health application for Travelers. The study findings reveal also a strong significant effect of attitude towards use to behavioral intention to use showing the need for such m-health applications.
Exploring Patterns in Resource Utilization Prior to the Formal Identification of Homelessness in Recently Returned Veterans
Authors: Gundlapalli Adi V.  , Redd Andrew  , Carter Marjorie E.  , Palmer Miland  , Peterson Rachel  , Samore Matthew H.
Published: February 2025

There are limited data on resources utilized by US Veterans prior to their identification as being homeless. We performed visual analytics on longitudinal medical encounter data prior to the official recognition of homelessness in a large cohort of OEF/OIF Veterans. A statistically significant increase in numbers of several categories of visits in the immediate 30 days prior to the recognition of homelessness was noted as compared to an earlier period. This finding has the potential to inform prediction algorithms based on structured data with a view to intervention and mitigation of homelessness among Veterans.
Healthy Reasoning: The Role of Effective Argumentation for Enhancing Elderly Patients' Self-management Abilities in Chronic Care
Authors: Bigi Sarah
Published: February 2025

One of the biggest challenges for doctors working in chronic care is the correct management of the argumentation phases during the encounters with their patients. During these phases doctors should provide patients with acceptable reasons for being adherent to treatment and for changing certain unhealthy behaviors and lifestyles, something which is particularly difficult for elderly patients, for whom changing life long habits can be extremely hard. However, the medical literature on the subject of communication in the chronic care encounter shows lack of theoretical models and methodological approaches that can highlight which specific linguistic structures or elements in different communication styles favor or impede patient commitment, trust in the relationship and adherence to treatment. The contribution describes ongoing research on argumentative strategies in the encounter with diabetes patients. I describe one recently concluded research project on the argumentation phases of medical encounters in diabetes care, which highlighted critical areas in need of improvement. I also describe the design and aims of a new research project, aimed at testing the effectiveness and usability of certain argumentation schemes in the medical encounter.
Novel Algorithms for Improved Pattern Recognition Using the US FDA Adverse Event Network Analyzer
Authors: Botsis Taxiarchis  , Scott John  , Goud Ravi  , Toman Pamela  , Sutherland Andrea  , Ball Robert
Published: February 2025

The medical review of adverse event reports for medical products requires the processing of “big data” stored in spontaneous reporting systems, such as the US Vaccine Adverse Event Reporting System (VAERS). VAERS data are not well suited to traditional statistical analyses so we developed the FDA Adverse Event Network Analyzer (AENA) and three novel network analysis approaches to extract information from these data. Our new approaches include a weighting scheme based on co-occurring triplets in reports, a visualization layout inspired by the islands algorithm, and a network growth methodology for the detection of outliers. We explored and verified these approaches by analysing the historical signal of Intussusception (IS) after the administration of RotaShield vaccine (RV) in 1999. We believe that our study supports the use of AENA for pattern recognition in medical product safety and other clinical data.
A conceptual Framework to Design a Dimensional Model Based on the HL7 Clinical Document Architecture
Authors: Pecoraro Fabrizio  , Luzi Daniela  , Ricci Fabrizio L.
Published: February 2025

This paper proposes a conceptual framework to design a dimensional model based on the HL7 Clinical Document Architecture (CDA) standard. The adoption of this framework can represent a possible solution to facilitate the integration of heterogeneous information systems in a clinical data warehouse. This can simplify the Extract, Transform and Load (ETL) procedures that are considered the most time-consuming and expensive part of the data warehouse development process. The paper describes the main activities to be carried out to design the dimensional model outlining the main advantages in the application of the proposed framework. The feasibility of our approach is also demonstrated providing a case study to define clinical indicators for quality assessment.