bluuebunny/crossref_metadata_2025 huggingface dataset:
Semantic Relations of Binary Compounds Annotated with SNOMED CT
Authors: Kokkinakis Dimitrios
Published: February 2025

The objective of this paper is to investigate whether a meaningful interpretation can be easily assigned to compound medical terms that have been assigned two distinct concepts taken from one of the most comprehensive, clinical healthcare terminologies, the (Swedish) SNOMED CT®. A binary compound term is a union of two terms to construct a complex term of special meaning that is quickly conveyed by not using separated (multiword) terms but rather solid or closed ones (not separated by space or hyphen). This is a case when the vocabulary lacks a single code for such concept; at the same time, solid compounds is the norm for expressing compounds in Germanic languages, such as Swedish. It is therefore useful and challenging to both identify such compounds and also determine the semantic relation that holds between the compound's constituents. The hypothesis we explore is that, if there are two or more noun compounds in which the head and modifier of each one belong to the same semantic type respectively, then the same relation probably holds in each of them. The juxtaposition of the concepts' membership within the SNOMED CT is used for determining an approximation of the semantic relation between head and modifier.
An advanced search engine for patent analytics in medicinal chemistry
Authors: Pasche Emilie  , Gobeill Julien  , Teodoro Douglas  , Gaudinat Arnaud  , Vishnykova Dina  , Lovis Christian  , Ruch Patrick
Published: February 2025

Patent collections contain an important amount of medical-related knowledge, but existing tools were reported to lack of useful functionalities. We present here the development of TWINC, an advanced search engine dedicated to patent retrieval in the domain of health and life sciences. Our tool embeds two search modes: an ad hoc search to retrieve relevant patents given a short query and a related patent search to retrieve similar patents given a patent. Both search modes rely on tuning experiments performed during several patent retrieval competitions. Moreover, TWINC is enhanced with interactive modules, such as chemical query expansion, which is of prior importance to cope with various ways of naming biomedical entities. While the related patent search showed promising performances, the ad-hoc search resulted in fairly contrasted results. Nonetheless, TWINC performed well during the Chemathlon task of the PatOlympics competition and experts appreciated its usability.
Information extraction from SMS text related to a reminder service for outpatients
Authors: Rubrichi Stefania  , Eku Ndam Stéphanie  , Battistotti Andrea  , Quaglini Silvana
Published: February 2025

This work evaluates the users' satisfaction with an SMS-based reminder system that is being used since about six years by an Italian healthcare organization. The system was implemented for reducing dropouts. This goal has been achieved, as dropout decreased from 8% to 4%. During these years, a number of reminded citizens, even not required, sent an SMS message back, with comments about the service, further requirements, etc. We collected some thousands of them. Their analysis may represent a useful feedback to the healthcare organization. We used conditional random fields as the information extraction method for classifying messages into appreciation, critique, inappropriateness, etc. The classification system achieved a very good overall performance (F1-measure of 94%), thus it can be used from here on to monitor the users' satisfaction in time.
A Semantic Approach for Digital Long-Term Preservation of Electronic Health Documents
Authors: Kiefer Stephan  , Schäfer Michael  , Rauch Jochen
Published: February 2025

Long-term preservation of electronic patient health information is a key issue for life-long electronic health records, however, it is poorly implemented in healthcare institutions and little attention is given to problems like obsolescence of formats and EHR applications or changing regulations, which jeopardize reusability of information after decades of preservation. We present in this paper an ontology driven approach to digital preservation and related metadata management which seems to be superior to conventional concepts of the digital library world.
Automated Realtime data Import for the i2b2 Clinical data Warehouse: Introducing the HL7 ETL cell
Authors: Majeed Raphael W.  , Röhrig Rainer
Published: February 2025

Clinical data warehouses are used to consolidate all available clinical data from one or multiple organizations. They represent an important source for clinical research, quality management and controlling. Since its introduction, the data warehouse i2b2 gathered a large user base in the research community. Yet, little work has been done on the process of importing clinical data into data warehouses using existing standards. In this article, we present a novel approach of utilizing the clinical integration server as data source, commonly available in most hospitals. As information is transmitted through the integration server, the standardized HL7 message is immediately parsed and inserted into the data warehouse. Evaluation of import speeds suggest feasibility of the provided solution for real-time processing of HL7 messages. By using the presented approach of standardized data import, i2b2 can be used as a plug and play data warehouse, without the hurdle of customized import for every clinical information system or electronic medical record. The provided solution is available for download at http://sourceforge.net/projects/histream/.
Validation and Discovery of Genotype-Phenotype Associations in Chronic Diseases using Linked Data
Authors: Pathak Jyotishman  , Kiefer Richard  , Freimuth Robert  , Chute Christopher
Published: February 2025

This study investigates federated SPARQL queries over Linked Open Data (LOD) in the Semantic Web to validate existing, and potentially discover new genotype-phenotype associations from public datasets. In particular, we report our preliminary findings for identifying such associations for commonly occurring chronic diseases using the Online Mendelian Inheritance in Man (OMIM) and Database for SNPs (dbSNP) within the LOD knowledgebase and compare them with Gene Wiki for coverage and completeness. Our results indicate that Semantic Web technologies can play an important role for in-silico identification of novel disease-gene-SNP associations, although additional verification is required before such information can be applied and used effectively.
Assessing the Feasibility of Data Mining Techniques for Early Liver Cancer Detection
Authors: Kuo Mu-Hsing  , Hung Chang-Mao  , Barnett Jeff  , Pinheiro Fabiola
Published: February 2025

The objective of this study is to assess the feasibility of a data mining association analysis technique, the FP Growth algorithm, for the detection of associations of liver cancer, geographic location and demographic of patients. For the research, we are planning to use data extracted from electronic health record systems of three healthcare organizations in different geographic locations (Canada, Taiwan and Mongolia). The data are arranged into ‘transactions’ which contain a set of data items focused around cancer diseases, geographic locations and patient demographics. This analysis produces association rules that indicate what combinations of demographics, geographic locations and patient characteristics lead to liver cancer.
Health Data Collecting and Sharing: Case Studies of Czech e-Health Applications
Authors: Zvárová Jana  , Lhotská Lenka  , Seidl Libor  , Zvára Karel
Published: February 2025

The paper shows the importance of e-health applications for electronic healthcare development. It describes several e-health applications for health data collecting and sharing that are running in the Czech Republic. These are IZIP system, electronic health record MUDR and K4CARE project applications. The e3-health concept is considered as a tool for judging e-health applications in different healthcare settings.
Indicators of Data Quality: Revision of a Guideline for Networked Medical Research
Authors: Stausberg Jürgen  , Pritzkuleit Ron  , Schmidt Carsten O.  , Schrader Thomas  , Nonnemacher Michael
Published: February 2025

Data quality significantly impacts the reliability and validity of empirical medical research. Specific measures can be used to check the quality of data during operation of a research project like a register. Furthermore these indicators allow an assessment of data quality independently from the institution responsible for data recording. A previously developed set of 24 data quality indicators was compared with measures of three research projects, each representing a specific view on the topic. The structure of the set was confirmed, being able to capture most of the projects' measures under the headings plausibility, organization, and correctness. Solely two indicators about metadata could not be appropriately mapped. However, several measures not considered so far were added to reach a number of 51 quality indicators in a first draft of a revised set. Most of the new indicators refine existing ones; e. g. the indicator “allowed values for missings” refines the existing indicator “allowed values for qualitative data elements”. Seven projects' measures contribute supplementary aspects of data quality. The draft of the revised set of quality indicators will now be reviewed within and beyond the group.
Architectural Approach for Quality and Safety Aware HealthCare Social Networks
Authors: López Diego M.  , Blobel Bernd  , González Carolina
Published: February 2025

Quality of information and privacy and safety issues are frequently identified as main limitations to make most benefit from social media in healthcare. The objective of the paper is to contribute to the analysis of healthcare social networks (SN), and online healthcare social network services (SNS) by proposing a formal architectural analysis of healthcare SN and SNS, considering the complexity of both systems, but stressing on quality, safety and usability aspects. Quality policies are necessary to control the quality of content published by experts and consumers. Privacy and safety policies protect against inappropriate use of information and users responsibility for sharing information. After the policies are established and documented, a proof of concept online SNS supporting primary healthcare promotion is presented in the paper.
The Intellectual Property Management for Data Sharing in a German Liver Cancer Research Network
Authors: He Shan  , Ganzinger Matthias  , Knaup Petra
Published: February 2025

Sharing data in biomedical research networks has great potential benefits including efficient use of resources, avoiding duplicate experiments and promoting collaboration. However, concerns from data producers about difficulties of getting proper acknowledgement for their contributions are becoming obstacles for efficient and network wide data sharing in reality. Effective and convenient ways of intellectual property management and acknowledging contributions to the data producers are required. This paper analyzed the system requirements for intellectual property management in a German liver cancer research network and proposed solutions for facilitating acknowledgement of data contributors using informatics tools instead of pure policy level strategies.
Recommendation of Standardized Health Learning Contents using Archetypes and Semantic Web Technologies
Authors: Legaz-García María del Carmen  , Martínez-Costa Catalina  , Menárguez-Tortosa Marcos  , Fernández-Breis Jesualdo Tomás
Published: February 2025

Linking Electronic Healthcare Records (EHR) content to educational materials has been considered a key international recommendation to enable clinical engagement and to promote patient safety. This would suggest citizens to access reliable information available on the web and to guide them properly. In this paper, we describe an approach in that direction, based on the use of dual model EHR standards and standardized educational contents. The recommendation method will be based on the semantic coverage of the learning content repository for a particular archetype, which will be calculated by applying semantic web technologies like ontologies and semantic annotations.
The Effectiveness of VR Exposure Therapy for PTSD in Returning Warfighters
Authors: Miyahira Sarah D.  , Folen Raymond A.  , Hoffman Hunter G.  , Garcia-Palacios Azucena  , Spira James L.  , Kawasaki Michelle
Published: February 2025

In the decade following the attack on the World Trade Center, over 2.3 million American military personnel were deployed to Iraq and Afghanistan. Lengthy tours of duty and multiple re-deployments were characteristic of these operations. Research findings demonstrate that prolonged exposure to combat increases the risk of developing posttraumatic stress disorder (PTSD). The current study was a randomized controlled clinical trial designed to assess the effectiveness of a novel intervention to treat combat-related PTSD in returning Operation Iraqi Freedom (OIF) and Operation Enduring Freedom (OEF) warfighters. A cognitive behavior treatment approach augmented with virtual reality exposure therapy (VRE) was developed, and administered for 10 treatment sessions over 5 weeks. Comparisons with a control group receiving minimal attention (MA) for 5 weeks revealed that the VRE group had significant reductions in the avoidance/numbing symptoms on the Clinician Administered PTSD Scale (CAPS). The VRE group also had significant reductions in guilt at post-treatment compared to the control group.
Guided Internet Treatment for Anxiety Disorders. As Effective As Face-To-Face Therapies?
Authors: Andersson Gerhard
Published: February 2025

Introduction: Guided Internet-delivered treatments were developed in the late 1990s and have since been tested in numerous controlled trials. While promising, there are yet few direct comparisons between Internet treatments and traditional face-to-face treatments. The aim of the present study is to present an overview of the evidence in the field of anxiety disorders.
Postural Control of Elderly: Moving to Predictable and Unpredictable Targets
Authors: Jongman Vera  , Lamoth Claudine J.C.  , van Keeken Helco  , Caljouw Simone R.
Published: February 2025

Impaired postural control with muscle weakness is an important predictor of falls within the elderly population.Particular daily activities that require weight shifting in order to be able to reach a specific target (a cup on a table) require continuous adjustments to keep the body's center of mass balanced. In the present study postural control was examined in healthy elderly and young subjects during a task in which subjects had to move the body's center of mass towards a virtual target on a screen that appeared at predictable and unpredictable locations. Postural control decreased with unpredictable targets, e.g. movement time was larger, trajectories more irregular. The results indicate that even though older individuals clearly benefitted from the early release of target location information, young individuals improved even more when target information became available.This indicates thatthe young were better able to use this information prospectively for executing the target directed movement quickly and accurately.
Telemedicine Support of Maternal and Newborn Health to Remote Provinces of Mongolia
Authors: Baatar Tsedmaa  , Suldsuren Narmandakh  , Bayanbileg Shinetugs  , Seded Khishgee
Published: February 2025

The telemedicine approach is a very much relevant and effective strategy for the Mongolian context of a huge geographical area with a sparse population and huge disparities in quality and access to health services. Through this initiative, it was possible to strengthen the capacity of service providers to provide timely and appropriate care, especially to mothers with pregnancy and childbirth complications. All the way through this network, health staff had easy access to information and support from experts; this improved access to knowledge is a positive benefit of the program. The early detection of pregnancy complications and timely management with the distance consultation of an expert team had contributed significantly to the reduction of maternal and newborn morbidity and mortality in project-selected provinces compared to non-project areas. The effective use of a modern telemedicine approach has been demonstrated as being effective in addressing the remoteness and rural-urban discrepancy in the quality of health care in Mongolia.
Targeting Zero Non-Attendance in Healthcare Clinics
Authors: Chan Ka C.  , Chan David B.
Published: February 2025

Non-attendance represents a significant cost to many health systems, resulting in inefficiency, wasted resources, poorer service delivery and lengthened waiting queues. Past studies have considered extensively the reasons for non-attendance and have generally concluded that the use of reminder systems is effective. Despite this, there will always be a certain level of non-attendance arising from unforeseeable and unpreventable circumstances, such as illness or accidents, leading to unfilled appointments. This paper reviews current approaches to the non-attendance problem, and presents a high-level approach to fill last minute appointments arising out of unforeseeable non-attendance. However, no single approach will work for all clinics and implementation of these ideas must occur at a local level. These approaches include use of social networks, such as Twitter and Facebook, as a communication tool in order to notify prospective patients when last-minute appointments become available. In addition, teleconsultation using video-conferencing technologies would be suitable for certain last-minute appointments where travel time would otherwise be inhibiting. Developments of new and innovative technologies and the increasing power of social media, means that zero non-attendance is now an achievable target. We hope that this will lead to more evidence-based evaluations from the implementation of these strategies in various settings at a local level.
Tailoring Decision Support to Suit User Needs: A Diagnostic Imaging Example
Authors: Griffith Janessa  , Borycki Elizabeth M.  , Kushniruk Andre W.
Published: February 2025

Unnecessary diagnostic imaging (DI) examinations raise concerns for patient safety and place stress on human and financial resources. To reduce unnecessary DI examinations, several Canadian pilot studies have investigated how decision support systems (DSS) could be utilized. Based on interview results from our previous research, in addition to a literature review, themes emerged that influenced the features and design of a DI DSS prototype. Features include having the referring professional indicate how the results of the examination will be utilized (i.e. for diagnosis or patient management), increasing communication between referring physicians/nurse practitioners and radiologists, and displaying previous DI examinations (or orders that are scheduled to take place) to avoid duplicate orders. Presenting a patient's cumulative radiation exposure, and having resources for information support to guide physicians through challenging clinical decisions are two other features included in the DSS prototype. By incorporating physician perspectives and current literature into the design, this DSS aims to promote the appropriate use of DI resources by supporting physicians and nurse practitioners in their DI ordering practices.
The Social Act of Electronic Medication Prescribing
Authors: Aarts Jos
Published: February 2025

Prescribing medication is embedded in social norms and cultures. In modern Western health care professionals and policy makers have attempted to rationalize medicine by addressing cost-effectiveness of diagnostic and therapeutic treatments and the development of guidelines and protocols based on the outcomes of clinical studies. These notions of cost-effectiveness and evidence-based medicine have also been embedded in technology such as electronic prescribing systems. Such constraining systems may clash with the reality of clinical practice, where formal boundaries of responsibility and authorization are often blurred. Such systems may therefore even impede patient care. Medication is seen as the essence of medical practice. Prescribing is a social act. In a hospital medications may be aimed at treating a patient for a specific condition, in primary care the professional often meets the patient with her or his social and cultural notions of a health problem. The author argues that the design and implementation of electronic prescribing systems should address the social and cultural context of prescribing. Especially in primary care, where health problems are often ill defined and evidence-based medicine guidelines do not always work as intended, studies need to take into account the sociotechnical character of electronic prescribing systems.
Methodological Approaches to Comparing Information about Bicycle Accidents Internationally: A Case Study Involving Canada and Germany
Authors: Juhra Christian  , Wieskötter Britta  , Bellwood Paule  , von Below Ariane  , Fyfe Murray  , Salkeld Sonia  , Borycki Elizabeth  , Kushniruk Andre
Published: February 2025

The use of bicycles as a mean of healthy and eco-friendly transportation is currently actively promoted in many industrialized countries. However, the number of severe bicycle accidents rose significantly in Germany and Canada in 2011. In order to identify risk factors for bicycle accidents and possible means of prevention, a study was initiated that analyses bicycle accidents from selected regions in both countries. Due to different healthcare systems and regulations, the data must be selected in different ways in each country before it can be analyzed. Data is collected by means of questionnaires in Germany and using hybrid electronic-paper records in Canada. Using this method, all relevant data can be collected in both countries.
In Vivo Quantification of Clot Formation in Extracorporeal Circuits
Authors: Gerrah Rabin  , David Omid
Published: February 2025

Clot formation is a common complication in extracorporeal circuits. In this paper we describe a novel method for clot formation analysis using image processing. We assembled a closed extracorporeal circuit and circulated blood at varying speeds. Blood filters were placed in downstream of the flow, and clotting agents were added to the circuit. Digital images of the filter were subsequently taken, and image analysis was applied to calculate the density of the clot. Our results show a significant correlation between the cumulative size of the clots, the density measure of the clot based on image analysis, and flow duration in the system.
Multi-Scale, Multi-Modal Image Integration for Image-Guided Clinical Interventions in the Head and Neck Anatomy
Authors: Santhanam Anand P.  , Dou Tai  , Neylon John  , Min Yugang  , Kupelian Alexandre  , Sheng Ke  , Ennis Daniel  , Rolland Jannick  , Low Daniel  , Kupelian Patrick
Published: February 2025

The aim of this paper is to enable model guided multi-scale and multi-modal image integration for the head and neck anatomy. The image modality used for this purpose includes multi-pose Magnetic Resonance Imaging (MRI), Mega Voltage CT, and hand-held Optical Coherence Tomography. A biomechanical model that incorporates subject-specific young's modulus and shear modulus properties is developed from multi-pose MRI, positioned in the treatment setup using Mega Voltage CT (MVCT), and actuated using multiple kinect surface cameras to mimic patient postures during Optical Coherence Microscopy (OCM) imaging. Two different 3D tracking mechanisms were employed for aligning the patient surface and the probe position to the MRI data. The results show the accuracy of the two tracking algorithms and the 3D head and neck deformation representing the multiple poses, the subject will take during the OCM imaging.
Z-DOC: A Serious Game for Z-Plasty Procedure Training
Authors: Shewaga Robert  , Knox Aaron  , Ng Gary  , Kapralos Bill  , Dubrowski Adam
Published: February 2025

We present Z-DOC, a (prototype) serious game for training plastic surgery residents the steps comprising the Z-plasty surgical procedure. Z-DOC employs touch-based interactions and promotes competition amongst multiple players/users thus promote engagement and motivation. It is hypothesized that by learning the Z-plasty procedure in an interactive, engaging, and fun gaming environment, trainees will have a much better understanding of the procedure than by traditional learning modalities.
A Demonstration of the Storz C-CAM in Endoscopic Imagery Projection for Far Forward Battlefield Telemetric Support and Training
Authors: Boedeker Ben H.  , Bernhagen Mary A.  , Derrick Douglas C.  , Abadia de Barbara Alberto Hernandez  , Del Real Colomo Antonio  , Hillan Garcia Laura  , Setién Fernando  , Nicholas IV Thomas A.
Published: February 2025

Airway management skills are essential for healthcare providers within military and civilian settings. To maintain competency in these skills, it is crucial for the provider to have opportunities for review and retraining. Virtual airway training or telementoring can be an effective means to fulfilling these requirements for healthcare providers located in remote sites. The projection of high quality imagery to far forward locations is essential for health care practitioners in the provision of telemedicine and distance training. The Storz C-CAM was developed to interface with existing endoscopy equipment to facilitate implementation of telemetric devices in remote locations. This work describes the use of the Storz C-CAM in providing medical device training to deployed medical personnel at a far forward location.
Rule-Based Healthcare-Associated Bloodstream Infection Classification and Surveillance System
Authors: Tseng Yi-Ju  , Wu Jung-Hsuan  , Lin Hui-Chi  , Chiu Hsiang-Ju  , Huang Bo-Chiang  , Shang Rung-Ji  , Chen Ming-Yuan  , Chen Wei-Hsin  , Chen Huai-Te  , Lai Feipei  , Chen Yee-Chun
Published: February 2025

Healthcare-associated infections (HAIs) are a major patient safety issue. These adverse events add to the burden of resource use, promote resistance to antibiotics, and contribute to patient deaths and disability. A rule-based HAI classification and surveillance system was developed for automatic integration, analysis, and interpretation of HAIs and related pathogens. Rule-based classification system was design and implement to facilitate healthcare-associated bloodstream infection (HABSI) surveillance. Electronic medical records from a 2200-bed teaching hospital in Taiwan were classified according to predefined criteria of HABSI. The detailed information in each HABSI was presented systematically to support infection control personnel decision. The accuracy of HABSI classification was 0.94, and the square of the sample correlation coefficient was 0.99.
Handling Intra-Cluster Correlation when Analyzing the Effects of Decision Support on Health Care Process Measures
Authors: Peek Niels  , Goud Rick  , de Keizer Nicolette
Published: February 2025

The clinical worksite constitutes a naturally clustered environment, posing challenges in the statistical analysis of quality improvement interventions such as computerized decision support. Ignoring clustering in the analysis may lead to biased effect estimates, underestimating the variance and hence type I errors. This paper presents a secondary analysis on data from a previously published, cluster randomized trial in cardiac rehabilitation. We compared six different statistical analysis methods (weighted and unweighted t-test; adjusted χ2test; normal and multilevel logistic regression analysis; and generalized estimation equations). There were considerable differences in both point estimates and p-values derived by the methods, and differences were larger with increasing intracluster correlation.
Wearable Data Acquisition System of Multimodal Physiological Signals for Personal Health Care
Authors: Annus Paul  , Samieipour Ali  , Rist Marek  , Ruiso Indrek  , Krivoshei Andrei  , Land Raul  , Parve Toomas  , Min Mart
Published: February 2025

The paper proposes a wearable multimodal data acquisition system for biological signals. The system enables logging of electrical bioimpedance signals from multiple electrodes, electrocardiographic signals (ECG), acceleration signals from multiple locations, and spirometric data from a moving object. Later it will be used to conduct field measurements for characterizing health of the object under investigation. Main goal is to acquire enough data for development, refinement, and simplification of signal processing algorithms. The system is center part of the new wearable compact data acquisition modules ZCardio. Those modules enable multichannel impedance spectroscopy by logging ECG signals and data from the spirometric sensor. Initial reference measurements were conducted. Alternatively, tests were performed using Plessey Semiconductors capacitive sensors. Acceleration signals are gathered.
Personal Portable Devices as Enablers for Advanced pHealth Decision Support and Decision Making Services
Authors: Pharow Peter  , Lhotska Lenka  , Cheshire Paul
Published: February 2025

Mobile devices are becoming more and more important for services offered either directly to individuals, or indirectly as part of a therapeutic or rehabilitation procedure. Representing the work of the EFMI WG “Personal Portable Devices”, this paper offers an introduction to some of the most important technical and privacy-related challenges that arise when introducing mobile sensor or actuator devices (and networks) into health care, wellness, and fitness processes in order to exploit their capability to collect, record and process personal health data. Data processing can be viewed in three classes of application, namely processes for recommendations, decision support and decision making in personalized health and wellbeing service provision. This paper therefore briefly addresses aspects such as the Medical Device Directive for certifying devices in that respect. But regardless whether being MDD-compliant or not, each class of devices may have its own benefits and weaknesses in terms of enabling health-related personalized decisions.
Virtual Physiological Human and its Role for Advanced pHealth Service Provision
Authors: Cheshire Paul  , Lhotska Lenka  , Pharow Peter
Published: February 2025

This paper provides an introduction to some of the most important challenges that may occur when introducing the principle of Personal Portable Devices for providing information in terms of Big Data on the one hand, and the concept of the Virtual Physiological Human on the other. Both concepts can be applied to exploit their specific capability to collect and record personal health data of different levels of granularity into processes of personalized health service provision. The paper thus analyzes Big Data approaches and their capability to provide information for personalized service provision, and the same goes for the Virtual Physiological Human as such. But it is not only devices, concepts, models, and strategies that are involved in personalized health care as well as welfare and wellness service provision to human beings – it is the human being himself, too. This paper addresses technological and methodological aspects of using large amounts of data whereas another paper submitted to this conference will bring forward the aspects of applied sensor and device technology in relation to decision support and decision making for pHealth services.
Case-Based Reasoning in Intelligent Health Decision Support Systems
Authors: González Carolina  , López Diego M.  , Blobel Bernd
Published: February 2025

Decision-making is a crucial task for decision makers in healthcare, especially because decisions have to be made quickly, accurately and under uncertainty. Taking into account the importance of providing quality decisions, offering assistance in this complex process has been one of the main challenges of Artificial Intelligence throughout history. Decision Support Systems (DSS) have gained popularity in the medical field for their efficacy to assist decision-making. In this sense, many DSS have been developed, but only few of them consider processing and analysis of information contained in electronic health records, in order to identify individual or population health risk factors. This paper deals with Intelligent Decision Support Systems that are integrated into Electronic Health Records Systems (EHRS) or Public Health Information Systems (PHIS). It provides comprehensive support for a wide range of decisions with the purpose of improving quality of care delivered to patients or public health planning, respectively.
Primary Care Providers' Acceptance of Health Information Exchange Utilizing IHE XDS
Authors: Haarbrandt Birger  , Schwartze Jonas  , Gusew Nathalie  , Seidel Christoph  , Haux Reinhold
Published: February 2025

We assessed primary care providers' perception of a health information exchange system (HIE) based on IHE XDS. The HIE will be part of a regional health network in the metropolitan area of Braunschweig, Lower Saxony, Germany. An application enabling access to medical documents in an XDS Affinity Domain was developed. We examined usability and factors related to user acceptance. User perception was probed using system usability scale (SUS) and semi-structured interviews. The evaluation was performed on 7 participants. The SUS showed an above average usability with a median score of 77.5. During interviews, participants submitted suggestions for additional features and improvement of usability. Poor integration of functionality into existing workflows was most frequently criticized. While usability was well perceived by primary care providers, challenges remain in adoption of XDS based IHE. To speed up document access in time-critical domains, we suggest use of complementary methods, enabling directed communication flows.
Impacts of Globalization in Health
Authors: Ioannou Andriani  , Mechili Aggelos  , Kolokathi Aikaterini  , Diomidous Marianna
Published: February 2025

Introduction: Globalization is the process of international integration arising from the interchange of world views, products, ideas, and other aspects of culture. Globalization describes the interplay of macro-social forces across cultures. The purpose of this study is a systematic review of the bibliography on the impacts of globalization in health. The consequences of globalization on health present a twofold dimension, on the one hand affects the health of the population and on the other hand organization and functioning of health systems. As a result of globalization, there has been an undeniable economic development and technological progress to support the level of health around the world, improving the health status of certain populations with a beneficial increase in life expectancy. Conclusion: In many aspects globalization is good but there are many problems too.
Automated lifestyle coaching for cerebro-cardiovascular disease prevention
Authors: Spassova Lübomira  , Vittore Debora  , Droste Dirk  , Rösch Norbert
Published: February 2025

As soon as telemedicine aims at supporting the prevention of ischemic events (e.g., stroke and myocardial infarction), the mere monitoring of vital parameters is not sufficient. Instead, the patients should be supported in their efforts to actively reduce their individual risk factors and to achieve and maintain a healthier lifestyle. The Luxembourg-based CAPSYS project (Computer-Aided Prevention System) aims at combining the advantages of telephone coaching with those of home telemonitoring and with methods of computer-aided decision support in direct contact with the patients. The suitability and user acceptance of the system is currently being evaluated in a first pilot study.
Healthcare Information Systems for the Epidemiologic Surveillance within the Community
Authors: Diomidous Marianna  , Pistolis John  , Mechili Aggelos  , Kolokathi Aikaterini  , Zimeras Stelios
Published: February 2025

Public health and health care are important issues for developing countries and access to health care is a significant factor that contributes to a healthy population. In response to these issues, the World Health Organization (WHO) has been working on the development of methods and models for measuring physical accessibility to health care using several layers of information integrated in a GIS. This paper describes the methodological approach for the development of a real time electronic health record, based on the statistical and geographic information for the identification of various diseases and accidents that can happen in a specific place.
Use of social networks to inform the population about food borne disease
Authors: Mellios Agamemnonas  , Kolokathi Aikaterini  , Mechili Aggelos  , Diomidous Marianna
Published: February 2025

Nowadays, it is globally observed that the incidence of food borne diseases is understated, as they are self-curable disease with mostly mild symptoms. As a result, many patients remain undiagnosed without seeking care in health services. In Greece, food borne diseases are the most common infectious diseases declared. There are more than 250 different food borne diseases described, caused either by biological agents (viruses, parasites, bacteria), or by physical and chemical causes. The purpose of this study is twofold: at first is to inform the population with the use of social networks on issues concerning food borne diseases and subsequently, is to create a Facebook page.
Cognitive Neurorehabilitation based on Interactive Video Technology
Authors: Martínez-Moreno J.M.  , Solana J.  , Sánchez R.  , González S.  , Sánchez-González P.  , Gómez C.  , Morell M.  , Cáceres C.  , Roig T.  , Tormos J.M.  , Gómez E.J.
Published: February 2025

Cognitive impairment is the main cause of disability in developed societies. New interactive technologies help therapists in neurorehabilitation in order to increase patients' autonomy and quality of life. This work proposes Interactive Video (IV) as a technology to develop cognitive rehabilitation tasks based on Activities of Daily Living (ADL). ADL cognitive task has been developed and integrated with eye-tracking technology for task interaction and patients' performance monitoring.
Evaluation of Health Professionals in the use of Internet Information Retrieval Systems in Health: A literature review
Authors: Lialiou Pashalina  , Mantas John
Published: February 2025

This paper presents a literature review on how health professionals are seeking health information using internet retrieval systems, databases. Publications present many attitude scales which evaluate the behavior of the users and the barriers that they face through the information research. On the following review are mentioned the characteristics that health professionals encounter on the use of computing. Also, is mentioned a number of problems which are associated with the information recourses such as reliability that were elicited and reviewed.
What Do Audiences Do When They Sit and Listen?
Authors: Tudor Ana-Despina  , Poeschl Sandra  , Doering Nicola
Published: February 2025

Speech anxiety (SA) training may help subjects improve their skills on keeping audiences interested in the speech and on managing calm or restless audiences. Attention and lack of attention during speeches are displayed through several nonverbal cues. Such and other nonverbal behaviors can also spread throughout a group and engage whole audiences. The current study is an inquiry into the nonverbal markers of attention and lack of attention during lectures (e.g. note taking, eye gaze towards the speaker, conduct with electronic devices such as mobile phones or laptops). Additionally, the study tries to identify nonverbal behaviors that are diffused and their spatial and time diffusion characteristics. 37 university students at the Ilmenau University of Technology have been observed during a 40-minutes lecture. A quantitative content analysis is conducted to identify patterns of behaviors depicting attention and inattention. Afterwards a qualitative content analysis is carried out to identify contagious behaviors and their spreading characteristics. The findings are used to design virtual audiences (VA) whose members react to each other or display observable audience responses (OAR) and will be implemented into training scenarios for training university students against SA.
An Automated Information System for Families of Patients in the Operation Room based on EMR data
Authors: Jo Eun-mi
Published: February 2025

When children undergo surgery, the parents waiting for them outside the room feel extreme anxiety. SNUH was a full EMR hospital. But nurses had to manually operate an electronic display board which provided information regarding the progresses of the operations. The parents had to be located in front of the board. It was a unilateral and passive system.
Developing Clinical Skills Using a Virtual Patient Simulator in a Resource-Limited Setting
Authors: Bediang Georges  , Franck Caroline  , Raetzo Marc-André  , Doell Jascha  , Ba Marième  , Kamga Yannick  , Baroz Frédéric  , Geissbuhler Antoine
Published: February 2025

Objective: to measure the effect of training with a virtual patient (VP) simulation system on clinical skills of healthcare professionals in Africa.
Development of Electronic Progress Tables for Multidisciplinary Medical Education in a University
Authors: Inoue Rie  , Toyama Hinako  , Ishikawa Toru  , Eda Tetsuya  , Kuroda Fumihiro  , Saito Keiichi
Published: February 2025

In the education of medical professionals, imitation medical records and associated documents were developed as electronic teaching materials for students in order to teach collaboration among medical professionals such as nurses, therapists and medical social workers. The roles of each medical professional and the flow of clinical practice were taught using progress tables, including medical treatment, clinical examination, and the contents of care, so that the contents of medical examination were understood based on a time series. Students' understanding of the flow of medical practice was evaluated based on the amount of description in the table before and after explanation of the important points of the clinical process concerning each medical professional. The comments of students who received the lessons suggested that this approach was useful for understanding actual clinical practice and how to utilize a progress table and to prepare information.
Sensor-Based Fall Risk Assessment – Dagger of the Mind?
Authors: Marschollek Michael  , Schulze Mareike  , Gietzelt Matthias  , Lovell Nigel H.  , Redmond Stephen J.
Published: February 2025

Fall events and their severe consequences represent not only a threatening problem for the affected individual, but also cause a significant burden for health care systems. Our research work aims to elucidate some of the prospects and problems of current sensor-based fall risk assessment approaches. Selected results of a questionnaire-based survey given to experts during topical workshops at international conferences are presented.
Towards Capturing Innovation Effects of a CDSS (NjuRen)
Authors: Wass Sofie  , Carlsson Bertil  , Vimarlund Vivian  , Korkmaz Seher  , Shemeikka Tero  , Vég Anikó
Published: February 2025

The e-service NjuRen is a clinical decision support system used by physicians to calculate patients' renal function and provide support for selection of appropriate drug and dosage for patients with renal failure. Project NjuRen is a collaboration between Stockholm County Council and Jönköping International Business School and aims at evaluating the socio-economic impact of implementing IT-systems in healthcare. The project consist of several steps, first the development and adaptation of a model to measure innovation effects. In the second step the development of a survey to capture factual impacts and effects. Finally, in the third step to translate the effects into socio-economic terms. The result will help decision makers to identify the achieved benefits and outcomes that the implementation of the system has brought with it.
Nursing Critical Patient Severity Classification System Predicts Outcomes in Patients Admitted to Surgical Intensive Care Units: Use of Data from Clinical Data Repository
Authors: Choi Mona  , Lee JuHee  , Ahn Mi Jung  , Kim YoungAh
Published: February 2025

To examine the Critical Patient Severity Classification System (CPSCS) recorded by nurses to predict ICU and hospital lengths of stay and mortality, data were drawn from patients admitted to 2 surgical intensive care units (SICUs) at a university hospital in Seoul, South Korea in 2010. This retrospective study used a large data set retrieved from the Clinical Data Repository System. Among 1432 patients, the mean grade of CPSCS was 4.9 out of 6, which indicated that the subjects had generally severe conditions. The CPSCS was a statistically significant predictor of ICU and hospital LOS and mortality when patients' demographic characteristics were adjusted. In the era of emphasis on using big data, analysis of nursing assessment data should be evaluated to show importance of nursing contribution to predict patients' clinical outcomes.
Evaluating Documentation of Dietetic Care in Swedish Medical Records
Authors: Lövestam Elin  , Orrevall Ylva  , Koochek Afsaneh  , Karlström Brita  , Andersson Agneta
Published: February 2025

An adequate documentation in medical records is essential for patient safety and high quality care. The aim of this study was to evaluate documentation by dietitians in Swedish medical records. A retrospective audit of147 dietetic notes in electronic medical records was performed. The audit focused at documentation of essential parts of the dietetic care, as well as other quality aspects such as lingual clarity and structure of the documentation. The nutrition intervention showed to be the most documented part of dietetic care. However, the audit showed that several important parts of nutrition care were poorly documented, for instance nearly half of the audited records had no clear nutrition problem documented, and in most of the records, the goal of nutrition intervention was missing. The study shows that Swedish dietitians need to improve documentation in medical records, as a suggestion by implementing a more structured documentation model.
Key-Phrase Based Classification of Public Health Web Pages
Authors: Dolamic Ljiljana  , Boyer Célia
Published: February 2025

This paper describes and evaluates the public health web pages classification model based on key phrase extraction and matching. Easily extendible both in terms of new classes as well as the new language this method proves to be a good solution for text classification faced with the total lack of training data. To evaluate the proposed solution we have used a small collection of public health related web pages created by a double blind manual classification. Our experiments have shown that by choosing the adequate threshold value the desired value for either precision or recall can be achieved.
An Integrated Risk Assessment Tool for Team-based Periodontal Disease Management
Authors: Thyvalikakath Thankam P.  , Padman Rema  , Gupta Sugandh
Published: February 2025

Mounting evidence suggests a potential association of periodontal disease with systemic diseases such as diabetes, cardiovascular disease, cancer and stroke. The objective of this study is to develop an integrated risk assessment tool that displays a patients' risk for periodontal disease in the context of their systemic disease, social habits and oral health. Such a tool will be used by not just dental professionals but also by care providers who participate in the team-based care for chronic disease management. Displaying relationships between risk factors and its influence on the patient's general health could be a powerful educational and disease management tool for patients and clinicians. It may also improve the coordination of care provided by the provider-members of a chronic care team.