bluuebunny/crossref_metadata_2025 huggingface dataset:
Can a Novel Smartphone Application Detect Periodic Limb Movements?
Authors: Bhopi Rashmi  , Nagy David  , Erichsen Daniel
Published: February 2025

Background: Periodic limb movements (PLMs) are repetitive, stereotypical and unconscious movements, typically of the legs, that occur in sleep and are associated with several sleep disorders. The gold standard for detecting PLMs is overnight electromyography which, although highly sensitive and specific, is time and labour consuming. The current generation of smart phones is equipped with tri-axial accelerometers that record movement. Aim: To develop a smart phone application that can detect PLMs remotely. Method: A leg movement sensing application (LMSA) was programmed in iOS 5x and incorporated into an iPhone 4S (Apple INC.). A healthy adult male subject underwent simultaneous EMG and LMSA measurements of voluntary stereotypical leg movements. The mean number of leg movements recorded by EMG and by the LMSA was compared. Results: A total of 403 leg movements were scored by EMG of which the LMSA recorded 392 (97%). There was no statistical difference in mean number of leg movements recorded between the two modalities (p = 0.3). Conclusion: These preliminary results indicate that a smart phone application is able to accurately detect leg movements outside of the hospital environment and may be a useful tool for screening and follow up of patients with PLMs.
Formal Specification of Topological Relations
Authors: Asnina Erika  , Osis Janis  , Jansone Asnate
Published: February 2025

The topological functioning model (TFM) of the system could be automatically transformed to behavioral specifications, e.g., UML Activity Diagrams, and BPMN diagrams. However, the TFM lacks a formal definition and specification of topological cause-and-effect relations. This paper addresses this challenge by using an inference means suggested by classical logic, namely, notions of necessity, sufficiency and logical operators. The result could be applied in order to reduce human participation in transformations, as well as to verify results of analysis of the system.
Automatic Extraction of Legal Concepts and Definitions
Authors: Winkels Radboud  , Hoekstra Rinke
Published: February 2025

In this paper we present the results of an experiment in automatic concept and definition extraction from written sources of law using relatively simple natural language and standard semantic web technology. The software was tested on six laws from the tax domain.
Towards web semantization and user understanding
Authors: Peška Ladislav  , Lašek Ivo  , Eckhardt Alan  , Dědek Jan  , Vojtáš Peter  , Fišer Dominik
Published: February 2025

In this paper we summarize efforts of our research group on web semantization - process of increasing the degree of automation of web processing – and some of its applications. We present several methods for mining textual information and assisted annotations as we believe this should be the first steps towards the semantic web. Then several methods for processing the gathered data are described. The proposed methods mainly aim on modeling user and his/her preferences and then helping them with reaching their goals. We focus on the complex environment of the web semantization as a wider context where both tools providing and consuming semantical data are placed.
Recent experiences of monitoring clay slopes
Authors: Ridley A.M.
Published: February 2025

Recent developments in methods for measuring soil suctions in the laboratory and the field have made it possible to make reliable measurements that can be used to validate the advances made at the same time in the analysis of earth structures. This paper discusses briefly the background to the presence of soil suctions in clay structures and presents measurements made in embankments and excavations located in the south east of the UK. The field measurements support the results from numerical analyses that have been presented elsewhere.
Les “Terres Noires” du Dauphiné, un cas de roche sensible aux variations climatiques – discussion
Authors: Monnet Jacques  , Fabre Denis  , Zielinski Marcin
Published: February 2025

Les Terres Noires couvrent une superficie de plusieurs centaines de kilomètres carrés dans le Sud-Est de la France. Cette formation géologique se présente sous la forme d'une roche tendre finement stratifiée à l'état intact. Sa composition argiloarneuse la rend très sensible à l'érosion et elle se dégrade rapidement en formant un sol composé de grains en plaquettes plus ou moins argileuses et évolutives. Les Terres Noires sont le siège de plusieurs grands glissements de terrain notamment dans la région de Barcelonnette (La Valette, Super Sauze...); et, plus généralement, de phénomènes d'érosion du surface intense, maintenant bien étudiés sur le bassin versant de recherche expérimentale de Draix près de Digne, avec ravinement des versants et création de nombreux chenaux de ruissellement. Pour mieux comprendre l'extension spatiale et les mécanismes de l'évolutivité de ce matériau, en liaison avec les travaux du GIS Draix, il a été décidé de réaliser à la fois des reconnaissances géologiques, géophysiques (sismique, électrique), géomécaniques in situ (pénétrométre dynamique Panda) et des essais de laboratoire (analyses minéralogiques, propriétés physiques, mesures de dégradabilité sous cycle saturation-déshydratation et gel-dégel). L'analyse des résultats montre une roche dégradable, tr-s sensible aux conditions hydriques. La prévention de son évolutivité passe par une protection efficace contre les phénomènes de saturation-désaturation réalisée par des couches protectrices de terre végétale suffisamment épaisse et plantée pour permettre la prévention des mécanismes de dégradation identifiés.
Discussion Session 3.1: Shallow foundations on hard soils and weak rocks
Authors: Olalla C.
Published: February 2025

A very brief selection of the four selected papers is presented. The main topics of these intermediate materials, Hard Soils and Weak Rocks, are enhanced for its possible discussion.
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Authors: Brandl H.
Published: February 2025

This paper is a modification of the author's oral presentation at the 15th ECSMGE in Athens in 2011. It focuses on the European history of ISSMGE and underlines the interaction with other related societies. Presidents/chairpersons and founding data of the European Member Societies are listed, and several details to conferences are given. Though focusing on the Past, the paper illustrates also the links to the Present. A tribute to the late pioneers of soil mechanics and geotechnical engineering will be given within an extended version of this paper (available at ISSMGE).
Usability Inspection to Improve an Electronic Provincial Medication Repository
Authors: Kitson Nicole A.  , Price Morgan  , Bowen Michael  , Lau Francis
Published: February 2025

Background: Medication errors are a significant source of actual and potential harm for patients. Community medication records have the potential to reduce medication errors, but they can also introduce unintended consequences when there is low fit to task (low cognitive fit). PharmaNet is a provincially managed electronic repository that contains the records for community-based pharmacy-dispensed medications in British Columbia. This research explores the usability of PharmaNet, as a representative community-based medication repository.
The Use of Social Media in Healthcare: Organizational, Clinical, and Patient Perspectives
Authors: Househ Mowafa
Published: February 2025

The purpose of this review paper is to explore the impacts of social media on healthcare organizations, clinicians, and patients. This study found that healthcare organizations, clinicians and patients can benefit from the use of social media. For healthcare organizations, social media can be used primarily for community engagement activities such as fundraising, customer service and support, the provision of news and information, patient education, and advertising new services. The study also found that the most widely used social media venues for physicians were online communities where physicians can read news articles, listen to experts, research new medical developments, network, and communicate with colleagues regarding patient issues. Patients can benefit from the use of social media through education, obtaining information, networking, performing research, receiving support, goal setting, and tracking personal progress. Future research should further examine other financial, technological, informational, ethical, legal, and privacy issues surrounding the use of social media in healthcare.
A Scoping Review on Health Records for Child-in-Care
Authors: Thompson Cori  , Lau Francis Y.
Published: February 2025

A scoping review was conducted to determine the current state of knowledge on child-in-care health records in academic literature. Eight studies describing five such health records were found. Different terms were found between countries. A key finding from the studies was that research needs to report on “what worked” to inform policy and practice for positive changes. Complete, accurate and consistent health records for child-in-care are needed that can support care and be aggregated to identify policy and practice gaps and interventions that were effective. Such health records enabled moving from reactive to proactive care for the child. Social work case data elements found in a child-in-care health record not included in a child personal health record include: court dates, dental, abuse, placement, and education. Including these data elements allows looking at the overall wellbeing and development of the child. With the exception of two, all studies reported positively on their implementation. Further, all studies advocated for continued development of a tailored child-in-care health record. The evidence points toward child-in-care health records as a tool toward achieving healthy outcomes and policy development.
Pattern Cutting and Ligating Loop Simulation in Virtual Basic Laparoscopic Skill Trainer (VBLaST
Authors: Ahn Woojin  , Halic Tansel  , De Suvranu
Published: February 2025

This paper presents the pattern cutting and ligating loop simulation in the Virtual Basic Laparoscopic Skill Trainer (VBLaST©). In the simulation, the gauze, tubular foam, and ligating loop thread are modeled by the mass-spring method and constraint projection for the inextensible characteristics. Discrete simulation states defined based on the tool-object interaction types are utilized to efficiently and accurately manages the physics simulation, collision processing, and haptic feedback in real-time. An automated scoring system provides quantitative measurement for evaluation of trainees' skills. The simulation results show advanced visual realism and real-time performances.
Web-Based Learning and Computer Supported Collaborative Learning for Psychomotor Skill Acquisition: Perspectives of Medical Undergraduate Students
Authors: Koh Jansen  , Cheung Jeffrey J.H.  , MacKinnon Kim  , Brett Clare  , Kapralos Bill  , Dubrowski Adam
Published: February 2025

There is a lack of evidence for the use of Web-based Learning (WBL) and Computer Supported Collaborative Learning (CSCL) for acquiring psychomotor skills in medical education. In this study, we surveyed medical undergraduate students attending a simulation based training session for central line insertion on their perspectives and utilization of WBL and CSCL for acquisition of a complex psychomotor skill.
Simplifying Touch Data from Tri-axial Sensors Using a New Data Visualization Tool
Authors: Salud Lawrence H.  , Kwan Calvin  , Pugh Carla M.
Published: February 2025

Quantification and evaluation of palpation is a growing field of research in medicine and engineering. A newly developed tri-axial touch sensor has been designed to capture a multi-dimensional profile of touch-loaded forces. We have developed a data visualization tool as a first step in simplifying interpretation of touch for assessing hands-on clinical performance.
Formulation of Wire Control Mechanism for Surgical Robot to Create Virtual Reality Environment Aimed at Conducting Surgery Inside the Body
Authors: Suzuki Naoki  , Hattori Asaki  , Ieiri Satoshi  , Tomikawa Morimasa  , Kenmotsu Hajime  , Hashizume Makoto
Published: February 2025

We here report on the process of developing a surgical robot that can conduct operation “going inside the body without spreading the operational region”. The endoscopic robot that we are developing now has a flexible cylindrical body with functions of a set of human arms at the tip and also with vision and haptic sense functions. We evaluated necessary technology factor to complete this robot into categories such as, transmission of energy, adaptation to insides of the body.
How Turing and Wolf Influenced my Decision Support Systems
Authors: Richards Bernard
Published: February 2025

Decision Support Systems (DSS) have a vital role to play in today's scenario for Patient Care. They can embody a vast knowledge not normally found in one individual where diagnosis and treatment are involved. This paper highlights the training in minute details and precise mathematics needed in a successful DSS and indicates how such attention-to-detail was instilled into the writer as a result of working with Alan Turing and Emil Wolf who have both since achieved world-wide recognition in their own fields as a result of international publicity by the current writer. The article discusses four Decision Support Systems written by the present writer all of which have been shown to improve patient treatment and care, and which are of such complexity that, without their use, patient care would fall short of optimum. The Systems considered are those for Intensive Care Units, Cardiovascular Surgery, a Programmed Investigation Unit, and Diagnosis of Congenital Abnormalities. All these Systems have performed better than the human alternatives and have shown their value in the improvement of patient care.
Towards the Validation of Agent-based BPM Simulation
Authors: Šperka Roman  , Vymětal Dominik  , Spišák Marek
Published: February 2025

One of the efficient methods of business process simulation is the use of a multi-agent system. As on other cases, such simulation requires sufficient input data. However, in the case of business systems, real business data is not always available, therefore multi-agent systems often operate with randomly (or pseudo randomly) generated parameters. This method can also allow for unpredictable phenomena both inside the simulated system and in the environment. The motivation of this paper is to introduce novel business process simulation method based on multi-agent system and to validate the simulation results with certain randomly generated agent parameters. Normal distribution was used to model two agent parameters in the simulation. These parameters are the amount of goods to buy and the ability of the seller agents. Certain number of negotiating agents representing various important roles within the company business system is described. The obtained results demonstrate that using random number generation function from normal distribution can lead to proper simulation results in comparison with real data. This partial research is a last step to validate the innovative implementation of a decision support tool.
On Acceleration of Multi-Agent System Performance in Large Scale Photometric Computations
Authors: Sędziwy Adam
Published: February 2025

Multi-agent computations are a useful computing paradigm applied in various areas, such as smart grids or distributed information processing. Another field of their application is outdoor lighting design, which is characterized by highly time-consuming optimization tasks. In this paper we focus on the latter case, aiming at scalability and reducing the computing time, which are crucial for solving the lighting design problem. To improve the efficiency of parallel, agent-based computations the results, a reuse approach is introduced. A quantitative comparison with other approaches is also included.
Legal Aspects of Personal Health Monitoring
Authors: Callens Stefaan  , Galot Adrien  , Lamas Eugenia
Published: February 2025

Personal health monitoring (PHM) can be defined as comprising all technical systems, processing, collecting, and storing of data linked to a person. PHM involves several legal issues that are described in this paper. This article analyses firstly the short term actions that are needed at the European level to allow personal health monitoring in respect of the interests and rights of patients such as the need to have more harmonised medical liability rules at the EU level. Introducing PHM implies also legal action at the EU level on the long run. These long-term actions are related to e.g. the way in which hospitals are organised in their relation with healthcare professionals and with other hospitals or healthcare actors. The paper analyses finally also how health monitoring projects may change the traditional (non-)relationship between patients and pharmaceutical/medical device industry. Today, the producers and distributors of medicinal products have no specific contact with patients. This situation may change when applying telemonitoring projects and may require new legal rules.
A statistical analysis of read-through ratios and the effect of quizzes using digital course materials for the classroom evaluation
Authors: Dobashi Konomu
Published: February 2025

In order to aid improvements in teaching, the full text of digital course materials used for read-through and quizzes on basic statistics were created on Moodle, to be used to gather learning data. Using Moodle, the aggregate learning data about the students was statistically analyzed. When using digital course materials and quizzes in the classroom, a considerable correlation was observed between the ratios that checked digital course materials and quiz scores. Next, reading times and quiz scores are compared, and also the correlation between the number of page views and quiz scores. Therefore, accessing digital course material and quizzes on Moodle was shown to have a good effect on the students' study.
Scientific and technical communication since the Fukushima Daiichi nuclear disaster: How is scientific knowledge disseminated?
Authors: Todayama Kazuhisa  , Karasawa Kaori
Published: February 2025

In this paper we examine books published for the general public after the Fukushima Daiichi nuclear disaster to clarify the characteristics, problems, and new trends in the scientific communication related to the health effects of radiation..
eTRIZ a portal for design creativity
Authors: Prickett Paul  , Aparicio Ivan
Published: February 2025

This paper considers the use of a TRIZ interface to access internet embedded knowledge within the creative design process. Access to the knowledge available on the internet can massively enhance the relevance of TRIZ in the creative design process. As the internet continuously evolves it is clear that the know-how it makes available becomes ever more important. It is considered that, in the context of the creative design process, TRIZ can impose some order on what is a currently random knowledge acquisition process. The paper concludes that knowledge management process needed to configure and control the continuous addition of new (free) knowledge to the World Wide Web resources can be supported by the TRIZ process and that increasing the effectiveness of TRIZ as a creative design tool can best be accomplished in this way.
Solving Dynamic Emergency Distribution Scheduling Problems in Practice
Authors: Jiang Yiping  , Zhao Lindu
Published: February 2025

In this paper we investigate a dynamic emergency distribution scheduling problem in the aftermath of a large scale disaster. We firstly state the difference between regular distribution and emergency distribution, and emphasis on the dynamic nature of emergency distribution and the need of real-time information updating in developing emergency distribution schedules. Next, we use dynamic network flow modeling techniques together with a rolling horizon approach to capture these features, and then propose a connection-based and a time space network based network flow model respectively. Finally, we report an illustrative example to demonstrate how the developed dynamic models with application in emergency distribution scheduling.
Stability of Financial Market: The Introduction to the JAVA Simulation of Agent-Based Model
Authors: Šperka Roman  , Spišák Marek  , Górecki Jan
Published: February 2025

Computational social science involves the use of agent-based modeling and simulation (ABMS) to study complex social systems. ABMS consists of a set of agents and a framework for simulating their decisions and interactions. ABMS is related to a variety of other simulation techniques, including discrete event simulation and distributed artificial intelligence or multi-agent systems. In practice, each agent has only partial knowledge of other agents and each agent makes its own decisions based on the partial knowledge about other agents in the system. For purposes of this paper, a multi-agent system will be implemented as a simulation framework in JADE development platform (JAVA programming language). The motivation was to use the agent-based simulation of the Tobin tax introduction together with the risk analysis and to investigate their impact on the stability of financial market. The hypothesis was that Tobin tax introduction will stabilize the financial market. The results obtained show that in the case of risk involvement into the system the hypothesis can be fulfilled only partially.
Super Pairwise Comparison Matrix with the Logarithmic Least-Squares Method
Authors: Ohya Takao  , Kinoshita Eizo
Published: February 2025

We have proposed a super pairwise comparison matrix (SPCM) to express all pairwise comparisons in the evaluation process of the dominant analytic hierarchy process (AHP) or the multiple dominant AHP (MDAHP) as a single pairwise comparison matrix. This paper shows, using the error models, that in the dominant AHP an evaluation value resulting from the application of the logarithmic least-squares method (LLSM) to a SPCM necessarily coincide with that of the evaluation value resulting obtained by using the geometric mean method to each pairwise comparison matrix. This paper also shows, using the error models, that in MDAHP an evaluation value resulting from the application of the logarithmic least-squares method (LLSM) to a SPCM does not necessarily coincide with that of the evaluation value resulting from the application of the geometric mean multiple dominant AHP (GMMDAHP) to the evaluation value obtained from each pairwise comparison matrix by using the geometric mean method.
Care provision expectations of remote adult children of ageing parents
Authors: Veil Klaus D  , Soar Jeffrey  , Su Ying
Published: February 2025

The expectations of adult children about their elderly parents regarding their care provision was surveyed. We found that the needs and expectations regarding their elderly parents included better information on entitlements of their parents, how to access relevant aged care services, the challenges of remotely dealing with dementia and depression of their parents, accessing medical and non-medical services and access to respite care. The aim was to identify needs that ICTs could potential to assist with. While the majority of respondents (67.2%) stated that they were satisfied or very satisfied with the frequency of contact with their elderly parent(s), they also cited logistical/transport difficulties, lack of time and stress as potential barriers in being in regular contact with their parents. The responses also indicated a high level of interest in a service that could act as a case manager to assist the adult child in discharging their responsibilities, manage access to services and to monitor the well-being of the parent. There is a need for further research to explore how this might be accomplished, whether such a service was viable and what funding models could be applied.
It will never happen to us: The likelihood and impact of privacy breaches on health data in Australia
Authors: Williams Patricia A.H.  , Hossack Emma
Published: February 2025

With the recent introduction of the Australian e-health system, health reforms and legislation were passed. Whilst the aim of these health reforms was reasonable and sensible, the implementation was rushed and less than perfect. The Deloitte e-health Strategy [1] which was endorsed by the National Health and Hospital Reform Commission (NHHRC) recommended that based on international experience implementation of shared electronic health records nationally was a ten year journey. In Australia this was condensed into two years. The resultant effect has been that privacy, which is essential for the uptake of technologies to share data in a compliant manner, may be compromised. People trust transparent systems. Where there is a breach in privacy people deserve the respect and right to know about it so that they can mitigate damages and with full disclosure, retain their trust in the system. If this is not evident, the public will refuse to share their information. Hence, whilst the technologies may work, their use may be limited. The consequence of this in Australia would be the continuance of dangerous and inefficient silos of health data.
Automated validation of patient safety clinical incident classification: Macro analysis
Authors: Gupta Jaiprakash  , Patrick Jon
Published: February 2025

Patient safety is the buzz word in healthcare. Incident Information Management System (IIMS) is electronic software that stores clinical mishaps narratives in places where patients are treated. It is estimated that in one state alone over one million electronic text documents are available in IIMS. In this paper we investigate the data density available in the fields entered to notify an incident and the validity of the built in classification used by clinician to categories the incidents. Waikato Environment for Knowledge Analysis (WEKA) software was used to test the classes. Four statistical classifier based on J48, Naïve Bayes (NB), Naïve Bayes Multinominal (NBM) and Support Vector Machine using radial basis function (SVM_RBF) algorithms were used to validate the classes. The data pool was 10,000 clinical incidents drawn from 7 hospitals in one state in Australia. In first part of the study 1000 clinical incidents were selected to determine type and number of fields worth investigating and in the second part another 5448 clinical incidents were randomly selected to validate 13 clinical incident types. Result shows 74.6% of the cells were empty and only 23 fields had content over 70% of the time. The percentage correctly classified classes on four algorithms using categorical dataset ranged from 42 to 49%, using free-text datasets from 65% to 77% and using both datasets from 72% to 79%. Kappa statistic ranged from 0.36 to 0.4. for categorical data, from 0.61 to 0.74. for free-text and from 0.67 to 0.77 for both datasets. Similar increases in performance in the 3 experiments was noted on true positive rate, precision, F-measure and area under curve (AUC) of receiver operating characteristics (ROC) scores. The study demonstrates only 14 of 73 fields in IIMS have data that is usable for machine learning experiments. Irrespective of the type of algorithms used when all datasets are used performance was better. Classifier NBM showed best performance. We think the classifier can be improved further by reclassifying the most confused classes and there is scope to apply text mining tool on patient safety classifications.
Senior-Driven Design and Development of Tablet-Based Cognitive Games
Authors: Marques João  , Vasconcelos Ana  , Teixeira Luís F.
Published: February 2025

This paper describes the design and development of a tablet-based gaming platform targeting the senior population, aiming at improving their overall wellbeing by stimulating their cognitive capabilities and promoting social interaction between players. To achieve these goals, we started by performing a study of the specific characteristics of the senior user as well as what makes a game appealing to the player. Furthermore we investigated why the tablet proves to be an advantageous device to our target audience. Based on the results of our research, we developed a solution that incorporates cognitive and social mechanisms into its games, while performing iterative evaluations together with the final user by adopting a user-centered design methodology. In each design phase, a pre-selected group of senior participants experimented with the game platform and provided feedback to improve its features and usability. Through a series of short-term and a long-term evaluation, the game platform proved to be appealing to its intended users, providing an enjoyable gaming experience.
Disease patterns addressed by mobile health-enabling technologies – a literature review
Authors: Von Bargen Tobias  , Schwartze Jonas  , Haux Reinhold
Published: February 2025

Health-enabling technologies can contribute to a better living with diverse disease patterns, especially at home. Ambient Assisted Living (AAL) provides security and convenience at the main place of residence, but usually cannot be taken on the road. Mobile health-enabling technologies could overcome this barrier of immobility and enable its' users to take advantages of assistive technology with them. The presented literature review examines disease patterns, which can be addressed by mobile health-enabling technologies. Especially chronic diseases, like diabetes, are very responsive for continuous support by portable support technology.
User interface and patient involvement
Authors: Andreassen Hege Kristin  , Lundvoll Nilsen Line
Published: February 2025

Increased patient involvement is a goal in contemporary health care, and of importance to the development of patient oriented ICT. In this paper we discuss how the design of patient-user interfaces can affect patient involvement. Our discussion is based on 12 semi-structured interviews with patient users of a web-based solution for patient – doctor communication piloted in Norway. We argue ICT solutions offering a choice of user interfaces on the patient side are preferable to ensure individual accommodation and a high degree of patient involvement. When introducing web-based tools for patient – health professional communication a free-text option should be provided to the patient users.
The State of Mobile Health in the Developing World and the Middle East
Authors: Ababtain Arwa F.  , Almulhim Deana A.  , Househ Mowafa S.
Published: February 2025

The rapid expansion and development of mobile technology have advanced an area called mobile health (mHealth), which is expected to improve healthcare delivery and increase the efficacy of healthcare services. This paper provides an overview of mHealthuse in the developing world with a specific focus on the Middle East. Different search engines and databases were used to search for Mobile Health (mHealth) literature on the developing world and the Middle East, in September 2012. The results show that there is a growing demand within the developing world and the Middle East for the use of mobile technologies that focus on information gathering and sharing, accessibility and reach, and public health. The future of mHealth in the developing world and the Middle East is also discussed.
Comparison of Automated and Manual Vital Sign Collection at Hospital Wards
Authors: Wood Jeffrey  , Finkelstein Joseph
Published: February 2025

Using a cross-over study design, vital signs were collected from 60 patients by 6 nurses. Each nurse was randomly assigned for manual vital sign collection in 5 patients and for automated data collection in other 5 patients. The mean time taken for vital signs information to be available in EMR was significantly (p <0.004) lower after automated data collection (158.7±67.0) than after the manual collection (4079.8±7091.8 s). The nursing satisfaction score of collecting vital signs was significantly lower (p <0.007) for the manual way (10.3±3.9) than for the automated way (16.5±3.4). We found that 30% of vital sign records were transmitted to EMR with at least one error after manual data collection whereas there wasno transmission error with automated data collection. Allparticipating nurses stated that the automated vital sign collection can improve their efficiency and save their time for direct patient care.
Teaching the “Medical Informatics” course in higher professional medical education of the Russian Federation
Authors: Zarubina T.V.  , Nikolaidi E.N.  , Shtevnina J.I.
Published: February 2025

The paper discusses methodological and organizational problems of teaching the “Medical Informatics” course in institutions of higher education of the Russian Federation.
Neurocognition, Presence and Acceptance Of a VR Programme For Psychotic Patients: A Correlational Study
Authors: Rus-Calafell Mar  , Gutiérrez-Maldonado José  , Ribas-Sabaté Joan
Published: February 2025

Patients with psychosis exhibit a wide range of cognitive deficits which are associated with poor functioning and poor outcomes in psychosocial interventions. Recently, virtual reality (VR) has been demonstrated to be a useful tool for treatment and rehabilitation of these patients. We have developed and applied an integrated VR programme to improve social skills in people with schizophrenia: the Soskitrain. The aim of the present study is to evaluate the relationship between patients' cognitive deficits, their sense of presence and their ratings of the programme's acceptability. Twelve clinically stabilized outpatients with a well-established diagnosis of schizophrenia or schizoaffective disorder underwent neuropsychological assessment prior to treatment, while after the intervention they completed a questionnaire about their sense of presence and the acceptability of the VR programme. Post-treatment results revealed a high sense of presence among patients, as well as good verisimilitude and high acceptance of the virtual environments. In addition, there were significant negative correlations between sense of presence and deficits in both delayed verbal learning and processing speed. The paper discusses the implications of cognitive impairment for the experience and acceptance of VR when treating psychotic patients.
Peak Provoked Craving After Smoking Cessation
Authors: Pericot-Valverde Irene  , García-Rodríguez Olaya  , Rus-Calafell Mar  , Fernández-Artamendi Sergio  , Ferrer-García Marta  , Gutiérrez-Maldonado José
Published: February 2025

Peak provoked craving (PPC) is an alternative approach to cue-induced craving that focuses on the highest craving level experienced during the exposure to drug-related cues. The main objective of this study was to assess the effect of abstinence on PPC in smokers and to determine whether PPC is altered by continuous abstinence. Results showed reductions on PPC levels only 24 hours after achieving abstinence and craving levels remain significantly lower after 7 days of abstinence.
Are Physicians Interested in the Quality of Life of their Patients? Usage of EHR-integrated Patient Reported Outcomes Data
Authors: Fritz Fleur  , Dugas Martin
Published: February 2025

In addition to clinical findings, patient reported outcomes (PRO) are a valuable source of information. However, the available time of a physician per patient is limited. Under these constraints, do physicians look into PRO data? By using an, electronic health record (EHR) integrated system for the documentation of PRO the data is directly available during treatment. To evaluate whether this information is used we analyzed access patterns for two types of PRO forms. 56% and 74% of these forms were accessed within routine care while 74% and 100% were analyzed for clinical research.
Model Medication Management Process in Australian Nursing Homes Using Business Process Modeling
Authors: Qian Siyu  , Yu Ping
Published: February 2025

One of the reasons for end user avoidance or rejection to use health information systems is poor alignment of the system with healthcare workflow, likely causing by system designers' lack of thorough understanding about healthcare process. Therefore, understanding the healthcare workflow is the essential first step for the design of optimal technologies that will enable care staff to complete the intended tasks faster and better. The often use of multiple or “high risk” medicines by older people in nursing homes has the potential to increase medication error rate. To facilitate the design of information systems with most potential to improve patient safety, this study aims to understand medication management process in nursing homes using business process modeling method. The paper presents study design and preliminary findings from interviewing two registered nurses, who were team leaders in two nursing homes. Although there were subtle differences in medication management between the two homes, major medication management activities were similar. Further field observation will be conducted. Based on the data collected from observations, an as-is process model for medication management will be developed.
Are Smartphones Comparable to Laptops for Image Diagnosis in Teleophthalmology?
Authors: John Sheila  , Arun Vikram  , Katti Nahush  , Appukuttan Bindu  , Pearlson  , Badrinath Sengamedu S.
Published: February 2025

Objective: To assess the reliability and accuracy of smartphones in diagnosing transmitted fundus images in comparison with a laptop.
Development of the Regional EPR and PACS Sharing System on the Infrastructure of Cloud Computing Technology Controlled by Patient Identifier Cross Reference Manager
Authors: Kondoh Hiroshi  , Teramoto Kei  , Kawai Tatsurou  , Mochida Maki  , Nishimura Motohiro
Published: February 2025

A Newly developed Oshidori-Net2, providing medical professionals with remote access to electronic patient record systems (EPR) and PACSs of four hospitals, of different venders, using cloud computing technology and patient identifier cross reference manager. The operation was started from April 2012. The patients moved to other hospital were applied. Objective is to show the merit and demerit of the new system.
Mobility and Health Information Searches – A Swedish Perspective
Authors: Eklund Ann-Marie
Published: February 2025

Today the first point of contact between a patient and health care is often an internet health portal – not a human. There is also a trend towards increased use of mobile devices for internet searching. We present a study of the use of mobile vs non-mobile devices when accessing the main Swedish official health portal. Our findings indicate that there is a difference in not only when people search for health information, but also the type of information searched for using different devices. We conclude that further analysis is needed to understand these differences, and consequently that the same portal solution may not suit both mobile and non-mobile health information seekers.
Telepulmonology in the Netherlands: Effect on Quality and Efficiency of Care
Authors: Thijssing Leonie  , van der Heijden Job P.  , Chavannes Niels H.  , Melissant Christian F.  , Jaspers Monique W.M.  , Witkamp Leonard
Published: February 2025

In telepulmonology a general practitioner (GP) digitally consults a local pulmonologist. This study assessed the effect of telepulmonology on quality and efficiency of care. Efficiency of care was measured as the percentage of prevented physical referrals. Quality of care was measured using 5 indicators. Thirty-one percent of the TelePulmonology Consultations (TPCs) were sent to prevent a physical referral, the other TPCs were sent to ask for advice of the pulmonologist. Sixty-eight percent of the TPCs sent to prevent a physical referral indeed prevented a physical referral. Eighteen percent of the TPCs sent for advice resulted in a physical referral on advice of the pulmonologist. These patients would not have been referred without telepulmonology.
User Requirements for Interruption Management in Mobile Communications in Hospitals
Authors: Talsma Bernd G.  , Solvoll Terje  , Hartvigsen Gunnar
Published: February 2025

In hospitals, mobile communication devices increase the occurrence of inappropriate interruptions during clinical task performance. These interruptions have been related to decreased quality of clinical care.
Telephone Follow-Up in Primary Care: Can Interactive Voice Response Calls Work?
Authors: Houser Shannon H.  , Ray Midge N.  , Maisiak Richard  , Panjamapirom Anantachai  , Willing James  , Schiff Gordon D.  , English Thomas  , Nevin Christa  , Berner Eta S.
Published: February 2025

Follow-up calls after ambulatory visits are not routinely done, yet they can potentially detect and mitigate unresolved problems. Automated calls via an Interactive Voice Response System (IVRS) are an innovative way to conduct follow-up, but patients' attitudes toward follow-up calls are unknown. This study assessed 1) patient perceptions about follow-up calls after visits; 2) differences in perceptions between human and IVRS calls; and 3) association between follow-up calls and patient satisfaction with care. Post-visit follow-up calls in two ambulatory care setting were done in two phases. Phase 1 used a human caller and phase 2 used IVRS. Patient satisfaction questionnaires were completed after each phase. Results showed that 88% of patients favor the idea of the calls and those receiving them found them helpful. There were no differences in attitudes between patients receiving calls from clinic staff or from an IVRS. Patients receiving calls had higher patient satisfaction scores than those not called.
Classifier-Free, Integrated Genomic Predictions of Prostate Cancer Recurrence
Authors: Shivade Chaitanya  , Chen James L.
Published: February 2025

Genomic predictions of clinical outcome are a core promise of the Human Genome Project. Yet actionable biomarkers in clinical medicine are confounded by patient heterogeneity as patient phenotypes are rarely well characterized and often poorly understood. Furthermore, standard predictive algorithms rely on a priori knowledge of discrete phenotypes for feature selection and training. To address this limitation, we develop a classifier-free algorithm that matches individual patients to other patient outcomes based on optimized clinicopathologic feature integration and molecular pathway similarity using the K-nearest neighbor. By identifying the best matches within the collection of patient data, we are able to return the desired prediction. In prostate cancer, we demonstrate the algorithm's ability to predict cancer recurrence without the need for supervised learning techniques in independent datasets with a recall and precision of 78%. Importantly, the predictor is microarray platform independent, scalable and simple to implement. Taken together, this method provides an exciting foundation from data-driven, clinical decision-making may arise.
Integrating UIMA Annotators in a Web-based Text Processing Framework
Authors: Chen Xiang  , Arnold Corey W.
Published: February 2025

The Unstructured Information Management Architecture (UIMA) [1] framework is a growing platform for natural language processing (NLP) applications. However, such applications may be difficult for non-technical users deploy. This project presents a web-based framework that wraps UIMA-based annotator systems into a graphical user interface for researchers and clinicians, and a web service for developers. An annotator that extracts data elements from lung cancer radiology reports is presented to illustrate the use of the system. Annotation results from the web system can be exported to multiple formats for users to utilize in other aspects of their research and workflow. This project demonstrates the benefits of a lay-user interface for complex NLP applications. Efforts such as this can lead to increased interest and support for NLP work in the clinical domain.
Text Classification Performance: Is the Sample Size the Only Factor to be Considered?
Authors: Figueroa Rosa L.  , Zeng-Treitler Qing
Published: February 2025

The use of text mining and supervised machine learning algorithms on biomedical databases has become increasingly common. However, a question remains: How much data must be annotated to create a suitable training set for a machine learning classifier? In prior research with active learning in medical text classification, we found evidence that not only sample size but also some of the intrinsic characteristics of the texts being analyzed—such as the size of the vocabulary and the length of a document—may also influence the resulting classifier's performance. This study is an attempt to create a regression model to predict performance based on sample size and other text features. While the model needs to be trained on existing datasets, we believe it is feasible to predict performance without obtaining annotations from new datasets once the model is built.
The Role of Documentation and Inter-Provider Information Exchange in Care Continuity for Older Hip Fracture Patients
Authors: McMurray Josephine  , Stolee Paul  , Hicks Elisabeth  , Elliott Jacobi  , Johnson Helen  , Byrne Kerry
Published: February 2025

Maintaining continuity of patient care can be difficult during transitions between care settings, when quality of care and patient safety are at risk. We sought to understand the role of inter-provider documentation and information exchange across successive care settings for complex, older patients. Data were gathered as part of a multi-site ethnographic study that followed 23 older post-surgical hip fracture patients across multiple care transitions. Documentation and information exchange help build a “picture” of complex patients, but care continuity is challenged by late, missing or unnecessary information, duplicated assessments and lack of interoperability of electronic systems. This study demonstrates the importance of appropriate documentation in the transition process, but points to the need for comprehensive system-level solutions which standardize information collection and sharing along the continuum of care.
Preference-maximized Nutrition Planning by Relative Learning and Ranking
Authors: Hsiao Jen-Hao
Published: February 2025

Effective personal dietary guidelines are essential for health management and prevention of chronic diseases. A key factor toward a successful diet planning is an individual's food preference instead of dogmatic nutrition pattern since it is unlikely that an individual would accept the meal plan merely based on the nutrition supplements. However, the extraction of personal preference is definitely not a trivial matter. The objective of this research is to achieve nutrient-balanced food recommendations for each individual, while considering individual's preferences and requirements at the same time. To reach this goal, we present the k-relative learning technique for semi-automatically extracting users' preferences in a more efficient and effective manner. Comparing to conventional methods, the proposed system can not only reveal users' opinions about foods more fairly but also save lots of labeling efforts during the training data collection stage. In addition, a smarter feedback mechanism is also proposed to enable a more pleasant experience of the user-system interaction. The resulted system is thus expected to improve users' diet habit and compliance with healthier lifestyle.