bluuebunny/crossref_metadata_2025 huggingface dataset:
The Current State of Electronic Consultation and Electronic Referral Systems in Canada: an Environmental Scan
Authors: Liddy Clare  , Hogel Matthew  , Blazkho Valerie  , Keely Erin
Published: February 2025

Access to specialist care is a point of concern for patients, primary care providers, and specialists in Canada. Innovative e-health platforms such as electronic consultation (eConsultation) and referral (eReferral) can improve access to specialist care. These systems allow physicians to communicate asynchronously and could reduce the number of unnecessary referrals that clog wait lists, provide a record of the patient's journey through the referral system, and lead to more efficient visits. Little is known about the current state of eConsultation and eReferral in Canada. The purpose of this work was to identify current systems and gain insight into the design and implementation process of existing systems. An environmental scan approach was used, consisting of a systematic and grey literature review, and targeted semi-structured key informant interviews. Only three eConsultation/eReferral systems are currently in operation in Canada. Four themes emerged from the interviews: eReferral is an end goal for those provinces without an active eReferral system, re-organization of the referral process is a necessity prior to automation, engaging the end-user is essential, and technological incompatibilities are major impediments to progress. Despite the acknowledged need to improve the referral system and increase government spending on health information technology, eConsultation and eReferral systems remain scarce as Canada lags behind the rest of the developed world.
Achieving Greater Consistency in Telehealth Project Evaluations to Improve Organisational Learning
Authors: Maeder Anthony  , Gray Kathleen  , Borda Ann  , Poultney Nathan  , Basilakis Jim
Published: February 2025

Telehealth pilot projects and trial implementations are numerous but are often not fully evaluated, preventing construction of a sound evidence base and so limiting their adoption. We describe the need for a generic Telehealth project evaluation framework, within which evaluation is undertaken based on existing health systems performance indicators, using appropriately chosen measures. We provide two case studies explaining how this approach could be applied, in Australian and Canadian settings. It is argued that this framework type of approach to evaluation offers better potential for incorporating the learnings from resultant evaluations into business decisions by “learning organisations”, through alignment with organisational performance considerations.
Multidisciplinary Modelling of Symptoms and Signs with Archetypes and SNOMED-CT for Clinical Decision Support
Authors: Marco-Ruiz Luis  , Maldonado J. Alberto  , Karlsen Randi  , Bellika Johan G.
Published: February 2025

Clinical Decision Support Systems (CDSS) help to improve health care and reduce costs. However, the lack of knowledge management and modelling hampers their maintenance and reuse. Current EHR standards and terminologies can allow the semantic representation of the data and knowledge of CDSS systems boosting their interoperability, reuse and maintenance. This paper presents the modelling process of respiratory conditions' symptoms and signs by a multidisciplinary team of clinicians and information architects with the help of openEHR, SNOMED and clinical information modelling tools for a CDSS. The information model of the CDSS was defined by means of an archetype and the knowledge model was implemented by means of an SNOMED-CT based ontology.
Semantic Interoperable Electronic Patient Records: The Unfolding of Consensus based Archetypes
Authors: Pedersen Rune  , Wynn Rolf  , Ellingsen Gunnar
Published: February 2025

This paper is a status report from a large-scale openEHR-based EPR project from the North Norway Regional Health Authority encouraged by the unfolding of a national repository for openEHR archetypes. Clinicians need to engage in, and be responsible for the production of archetypes. The consensus processes have so far been challenged by a low number of active clinicians, a lack of critical specialties to reach consensus, and a cumbersome review process (3 or 4 review rounds) for each archetype. The goal is to have several clinicians from each specialty as a backup if one is hampered to participate. Archetypes and their importance for structured data and sharing of information has to become more visible for the clinicians through more sharpened information practice.
IANUA: a regional project for the determination of costs in HIV-infected patients
Authors: Giannini Barbara  , Gazzarata Roberta  , Orcamo Patrizia  , Merlano Caterina  , Cenderello Giovanni  , Venturini Alberto  , Di Biagio Antonio  , Mazzarello Giovanni  , Montefiori Marcello  , Ameri Marta  , Setti Maurizio  , Viscoli Claudio  , Cassola Giovanni  , Giacomini Mauro
Published: February 2025

HIV treatment is based on combined antiretroviral therapy (cART) which has substantially improved survival, thus resulting in an increase in patient life expectancy as well as in the cost of HIV-related medical care. Therefore, several cost effectiveness studies were implemented worldwide, with one specifically in the Liguria region (Italy), to compare the annual economic expense in this area for HIV services, and the related improvement in patients' health. The IANUA project is intended to implement both cost-effectiveness and cost-utility analysis, therefore data related to clinical indicators and perceived health status were collected, the latter using a questionnaire based on the EQ-5D-3L. Information about the antiretroviral drugs and the relative quantity that a patient withdraws from the hospital pharmacy every month were extracted from the regional “F-file”. All data gathered were stored in the Ligurian HIV Network, a web platform developed by the DIBRIS - Medinfo laboratory. More than eight hundred questionnaires were collected, and data will be elaborated by economists and psychologists. The first statistical elaborations showed that, as expected, costs increased as the number of therapeutic lines increased. Moreover, the average annual costs for patients whose last CD4 values were below 200 cells/mmc corresponded to the maximum expense recorded, however, the cost for patients with final CD4 counts above 500 cells/mmc was not, as expected, the lowest found. This can be explained by the fact that stabilized patients, who had CD4 values below 500 cells/mmc, did not need very expensive care, while patients with CD4 counts above 500 cells/mmc improved their health status thanks to cART.
Development and trial of ePoint.telemed – An open web-based platform for home monitoring of chronic heart failure patients
Authors: Serrano J. Artur  , Holthe Halgeir
Published: February 2025

In North Norway no routine home telemonitoring services for chronic heart failure has yet been established and hence no investigations in the field have been published, although large distances and a sparse population are causes for extra public and private expenditure on travelling for patients when they make a visit to the hospital. In this paper we describe the ePoint.telemed platform for home telemonitoring of patients with chronic heart failure (CHF). The core of the platform is a dashboard, which is accessible through a browser window. Integrated with the dashboard are a blood pressure meter, a weight scale and a web-based patient questionnaire. The ePoint.telemed platform is a fully automatic internet based system meant for early warning in a CHF rehabilitation program. Unlike traditional remote medical technologies (RMT) building on dedicated medical equipment, we are applying easy-to-use personal health system (PHS) components geared towards the wellness and sports market. A Randomized Controlled Trial (RCT) has been started using the platform. 50 patients will be involved in the study with the aim of finding out if the home telemonitoring of CHF is clinically effective in Northern Norway and if it is cost-effective.
Using a Snowflake Data Model and Autocompletion to Support Diagnostic Coding in Acute Care Hospitals
Authors: Noussa-Yao Joseph  , Boussadi Abdelali  , Richard Monique  , Heudes Didier  , Degoulet Patrice
Published: February 2025

Purpose: Efficient and adequate coding is essential for all hospitals to optimize funding, follow activity, and perform epidemiological studies.
Approach to Extract Billing Data from Medical Documentation in Russia - Lessons Learned
Authors: Kopanitsa Georgy  , Yampolskiy Vladimir
Published: February 2025

Lack of a proper infrastructure of health care providers leads to the breaks in the health care process Informatization. This results in the manifestation of different data entry point. The different data sets that are entered in these different points tend to serve the same task. However, due to the different qualification of staff a consistency of data cannot be preserved. The paper presents an approach where data is split to the different levels.
Devising outlier-based alerts for medication orders
Authors: Prakash Gouri
Published: February 2025

Drugs are chemical substances, which can, on consumption and under certain conditions, be toxic and cause Adverse Drug Reactions (ADRs) in patients. This paper puts forth the proposition of generating a systemic alert to a clinician, at the time of placing a medication order for a patient, when the number of ADRs associated with the selected medication is significantly different from the number of ADRs associated with other drugs approved for the same therapeutic area.
Requirements for a Patient Recruitment System
Authors: Schreiweis Björn  , Bergh Björn
Published: February 2025

Computerization and increasing need for evidence based medicine are not stopping at biomedical research. Clinical trials need participants and the problem of matching patients with eligibility criteria to support clinical trials has many different solutions. A detailed analysis of stakeholders' requirements would help implementing better patient recruitment systems (PRSs) in the future. Thus we decided to analyse the requirements in literature and talk to stakeholders what they feel the features of PRSs should be. Including patients and data privacy officers as stakeholders gives a holistic overview. Requirements are overlapping between different stakeholders with each stakeholder adding a different view on PRSs. Requirements implemented in current PRSs overlap mostly with requirements expressed by physicians and researchers. Especially patients' requirements (e.g. not having to enter medical data themselves) on PRSs give the impression that PRSs need to integrate with EHR systems or even PEHRs.
Understanding the Perceived Usefulness and the Ease of Use of a Hospital Information System: the case of a French University Hospital
Authors: Ologeanu-Taddei R.  , Morquin D.  , Bourret R.
Published: February 2025

The goal of this study was to examine the perceived usefulness and the perceived ease of use of a Hospital Information System (HIS) for the care staff. We administrated a questionnaire composed of open-end and closed questions. As results, the perceived usefulness and ease of use are correlated with medical occupations. Content analysis of open questions highlights three factors influencing these constructs: ergonomics, errors in the documenting process and insufficient compatibility with the medical department or the occupation. While the results are consistent with literature, they show medical occupations do not report the same low rate of perceived usefulness and of ease of use. The main explanation consists in the medical risk in the prescription process for anesthesiologists, surgeons and physicians.
Metadata Requirements for Portals
Authors: Benson Tim
Published: February 2025

Consensus around the requirements for metadata in patient and clinical portals would provide a sound basis for the adoption of standards. We propose a set of requirements for metadata in a way that is generic and platform independent. These requirements cover both Clinical Documents and Clinical Statements, addressing the what, who, when and where of each item.
An integrated Diet Monitoring Solution for nutrigenomic research
Authors: Conti Costanza  , Rossi Elena  , Marceglia Sara  , Tauro Vittorio  , Rizzi Federica  , Lazzaroni Monica  , Barlassina Cristina  , Soldati Laura  , Cusi Daniele
Published: February 2025

The emergence of evidence pointing at diet as key risk factor for chronic diseases and at gene-diet interactions as key elements in the interplay between an individual genetic background and his/her lifestyle, pave the way for studies in nutrigenomics. Such studies need an integrated solution to collect, monitor and analyse a large set of data. In the frame of ATHENA, a European Commission FP7 project, we developed an integrated platform, called Dietary Monitoring Solution enabling the collection of phenotypic, genetic and lifestyle information, linked to a mHealth application tool. The data collection solution allows maintaining anonymized information and supports a number of features making it particularly suited for multicentre studies. The mHealth application was designed to translate the knowledge generated from research into a personalised prevention programme and to support the patient adherence to the programme.
Draft Guideline for the Development of Evidence Based Medicine-Related Apps
Authors: Gonnermann Andrea  , von Jan Ute  , Albrecht Urs-Vito
Published: February 2025

Evidence based recommendations can significantly aid decision processes in medicine and mobile apps are starting to enter this domain. Considering the rapid access to and quick processing of information made possible by such apps, it is especially important to ensure the quality and structure of the provided data and to also keep the limitations of the information sources in mind. A draft guideline meant for implementing appropriate standards for such apps is outlined in this contribution.
Reshaping the laboratory results presentation layer: three interfaces for handheld devices
Authors: Ehrler Frederic  , Brissaud Marion  , Wipfli Rolf  , Lovis Christian
Published: February 2025

The interpretation of laboratory results is a critical part of the clinical decision making process. The proper understanding of many clinical conditions depends on the identification of evidences in the laboratory reports. If the classic tabular presentation of laboratory results has demonstrated its efficiency since many years, the increase number of potential results, the increased complexity of cases and the time shortage to analyses cases raise the question of finding more efficient ways of displaying these results to clinicians. The presentation layer becomes even more crucial when it comes to small-sized interactive displays. In this work, we discuss three alternative graphical representations of laboratory results adapted to handheld devices.
Virtual file system on NoSQL for processing high volumes of HL7 messages
Authors: Kimura Eizen  , Ishihara Ken
Published: February 2025

The Standardized Structured Medical Information Exchange (SS-MIX) is intended to be the standard repository for HL7 messages that depend on a local file system. However, its scalability is limited. We implemented a virtual file system using NoSQL to incorporate modern computing technology into SS-MIX and allow the system to integrate local patient IDs from different healthcare systems into a universal system. We discuss its implementation using the database MongoDB and describe its performance in a case study.
Measuring Data Quality: A Review of the Literature between 2005 and 2013
Authors: Stausberg Jürgen  , Nasseh Daniel  , Nonnemacher Michael
Published: February 2025

A literature review was done within a revision of a guideline concerned with data quality management in registries and cohort studies. The review focused on quality indicators, feedback, and source data verification. Thirty-nine relevant articles were selected in a stepwise selection process. The majority of the papers dealt with indicators. The papers presented concepts or data analyses. The leading indicators were related to case or data completeness, correctness, and accuracy. In the future, data pools as well as research reports from quantitative studies should be obligatory supplemented by information about their data quality, ideally picking up some indicators presented in this review.
Ethical, Legal and Social Issues related to the health data-warehouses: re-using health data in the research and public health research
Authors: Lamas Eugenia  , Barh Anne  , Brown Dario  , Jaulent Marie-Christine
Published: February 2025

Research derived from the application of information and communication technologies in medicine operates in a context involving the globalization of collecting, sharing, storage, transfer and re-use of personal health data. Health data computerization within Clinical Information Systems (as Electronic Healthcare Records) should allow the re-use of health data for clinical research and public health purposes. One of the objects allowing the integration of healthcare and research information systems is the health data-warehouse (DWH). However, ethical-legal frameworks in force are not adapted to these DWHs because they were not conceived for re-using data in a different context than the one of their acquisition. For that matter, access modalities to data-warehouses must ensure the respect of patients' rights: information to the patient, as well as confidentiality and security. Through a bibliography research, some Ethical, legal and Social Issues (ELSI) have been identified: Patients' rights Modalities of implementation of the DWs; Solidarity and common good; Transparency and Trust. Comparative analysis between the Directive 95/46/CE and the “Proposal for regulation on protection of individuals with regard to the processing of personal data” shows that this regulation pretends allowing the re-use of key-coded data when aimed at a scientific purpose. However, since this new regulation does not align with the ethical and legal requirements at an operational level, a Code of practice on secondary use of Medical Data in scientific Research Projects has been developed at the European Level. This Code provides guidance for Innovative Medicine Initiative (IMI) and will help to propose practical solutions to overcome the issue of the re-use of data for research purposes.
Health consumer-oriented information retrieval
Authors: Claveau Vincent  , Hamon Thierry  , Le Maguer Sébastien  , Grabar Natalia
Published: February 2025

While patients can freely access their Electronic Health Records or online health information, they may not be able to correctly understand the content of these documents. One of the challenges is related to the difference between expert and non-expert languages. We propose to investigate this issue within the Information Retrieval field. The patient queries have to be associated with the corresponding expert documents, that provide trustworthy information. Our approach relies on a state-of-the-art IR system called Indri and on semantic resources. Different query expansion strategies are explored. Our system shows up to 0.6740 P@10, up to 0.7610 R@10, and up to 0.6793 NDCG@10.
PyMedTermino: an open-source generic API for advanced terminology services
Authors: Lamy Jean-Baptiste  , Venot Alain  , Duclos Catherine
Published: February 2025

The integration of terminologies is still a challenging problem in medical informatics research and software applications, due to the high number of heterogeneous terminologies. In this paper, we present a generic API (Application Programming Interface) for a multi-terminology multilingual terminology service, and PyMedTermino, its open-source implementation in Python with 5 terminological resources (ICD10, SNOMED CT, MedDRA, CDF, VCM iconic language) and the UMLS compendium. This service has been designed for research and educational purpose. It offers various advanced functionalities rarely present in terminology services.
Enhancing self healing of mortars by built-in crystallization inhibitors
Authors: Granneman Sanne J.C.  , van Hees Rob P.J.  , Lubelli Barbara
Published: February 2025

Damage due to salt crystallization is a ubiquitous problem in porous building materials. Crystallizing salts can cause severe damage to building materials. Especially lime-based mortars, which are often found in historic buildings, are prone to salt damage due to their pore size distribution and limited mechanical strength. Renovation costs for replacing or repairing materials affected by salt crystallization damage are considerable. Existing solutions, such as cement-based salt-resistant plasters with mixed-in water-repellent additives, generally have a low compatibility with the existing materials. Where the current methods are based on increasing the strength of the material or on limiting the ingress of (salt-laden) water into the porous material, our method is to tackle the problem at its base, by modifying the crystallization of the salts. By influencing the crystallization process with special chemicals, so called crystallization modifiers, salt crystallization on the surface of the material instead of in the pores or at a lower supersaturation level is favoured. Both are factors which limit crystallization damage. By mixing-in the crystallization modifiers in a lime-based mortar before its application, a smart self-healing (restoration) product can be made which will act at the moment the salts are expected to cause damage, i.e. at the onset of crystallization. Our proposed method could therefore result in a longer service-life of buildings and, consequently, in lower restoration costs.
Modeling approaches for self healing mechanisms in concrete
Authors: Vermolen F.J.  , Zemskov S.V.
Published: February 2025

The paper deals with several modeling approaches that are relevant for understanding the self-healing mechanisms in a class of civil engineering materials like blast furnace slag cement and concrete. Since the present paper is a compilation of modeling studies carried out by the authors, it does not aim at being mathematically rigorous but it is merely descriptive of nature. The approaches are used for the prediction of the likelihood for the onset of the self-healing mechanism, as well as for the prediction of the rate and capacity of the self-healing process. Although the approaches are applied to civil engineering materials, the mathematical nature of the treatment allows an easy generalization to other classes of materials.
Development of self healing gels based on reversible cohesive interaction between self-assembling organic and inorganic nanoparticies
Authors: Diba Mani  , Wang Huanan  , Leeuwenburgh Sander
Published: February 2025

Colloidal gels are defined as continuous networks of aggregated particles dispersed in a liquid phase. This type of gels can be formed by self-assembly of particles as the colloidal building blocks. Owing to reversible non-covalent interparticle interactions between these building blocks, colloidal gels can display self-healing behavior upon destruction of the gel network. For instance, self-healing organic colloidal gels have been developed by self-assembly of oppositely charged gelatin nanoparticles, where the mechanical properties and self-healing capacity of the colloidal gels strongly depended on the size of the colloidal building blocks. Furthermore, in order to develop colloidal gels with enhanced elasticity, combinations of organic and inorganic building blocks were recently explored. Since inter-particle forces determine the final properties of colloidal gels, several surface functionalization strategies are being explored to vary the adhesion forces between particles aiming at optimized self-healing behavior.
Heart Rate Measurement as a Tool to Quantify Sedentary Behavior
Authors: Åkerberg Anna  , Koshmak Gregory  , Johansson Anders  , Lindén Maria
Published: February 2025

Sedentary work is very common today. The aim of this pilot study was to attempt to differentiate between typical work situations and to investigate the possibility to break sedentary behavior, based on physiological measurement among office workers. Ten test persons used one heart rate based activity monitor (Linkura), one pulse oximeter device (Wrist) and one movement based activity wristband (Fitbit Flex), in different working situations. The results showed that both heart rate devices, Linkura and Wrist, were able to detect differences in heart rate between the different working situations (resting, sitting, standing, slow walk and medium fast walk). The movement based device, Fitbit Flex, was only able to separate differences in steps between slow walk and medium fast walk. It can be concluded that heart rate measurement is a promising tool for quantifying and separating different working situations, such as sitting, standing and walking.
Smart Wireless Sensor for Physiological Monitoring
Authors: Tomasic Ivan  , Avbelj Viktor  , Trobec Roman
Published: February 2025

Presented is a wireless body sensor capable of measuring local potential differences on a body surface. By using on-sensor signal processing capabilities, and developed algorithms for off-line signal processing on a personal computing device, it is possible to record single channel ECG, heart rate, breathing rate, EMG, and when three sensors are applied, even the 12-lead ECG. The sensor is portable, unobtrusive, and suitable for both inpatient and outpatient monitoring. The paper presents the sensor's hardware and results of power consumption analysis. The sensor's capabilities of recording various physiological parameters are also presented and illustrated. The paper concludes with envisioned sensor's future developments and prospects.
Edge-Based Asymmetric Gaussian Blurring for Depth Map Pre-Processing
Authors: Lin Hong-Li  , Lee Pei-Jun  , Chiu Cheng-Wei
Published: February 2025

Using Depth Image Based Rendering (DIBR) is the most popular method to generate virtual views for multi-view stereoscopic images or videos. However, when the depth values change rapidly, there are some hole occurrences in the region of the edges of the objects. This paper proposes a preprocessing method for the depth map by an edge-based asymmetric Gaussian blurring matrix before doing DIBR. The proposed depth preprocessing is based on edge direction of the edge of the objects; therefore, the proposed algorithm not only reduces the hole occurrences to enhance 3D virtual view quality but also preserves the shape of the objects in the foreground to keep the 3D view experience. The simulation results show that the boundaries of the objects are shape by using the proposed edge based asymmetric Gaussian blurring matrix than the other comparison methods. In addition, the proposed algorithm can keep the average depth value of the depth map to maintain more stereo vision for 3D view experience.
High-Speed and Highly Secure Pseudo-Random Number Generator based on Chaos Neural Network
Authors: Yoshida Hitoaki  , Murakami Takeshi  , Liu Zhongda
Published: February 2025

We have continuously studied on the chaos neural network (CNN) that consists of conventional artificial neurons and generates chaotic outputs. In this paper, a high-speed (more than 300 Gbps) and highly secure novel pseudo-random number generator based on CNN has been reported. In particular, the period of a pseudo-random number series is more than 109726(≈ 232308). The random number generator is expected to apply to a high-speed and highly secure stream cipher.
Dynamical Neural PID Control Design
Authors: Yu Wen-Shyong  , Lu Tien-Ching
Published: February 2025

In this paper, a dynamic neural PID control scheme is presented based on the Ziegler-Nichols-like formula. The neural PID with a single estimate is tuned according to the Lyapunov type stability criterion. The proposed control scheme can guarantee convergence of the estimate in neuron and the stability of the closed-loop system. Procedures are provided for selecting the most appropriate tuning method for a given application based on the primary function of the feedback loop (servo against regulatory) as well as the relative importance of control effort and robustness. In addition, the neural PID version of the Ziegler-Nichols controller, a popular strategy for systems with delays, was found to yield excellent setpoint following but sluggish rejection of unmeasured disturbances acting at the plant input. Simulation examples and comparisons using Ziegler-Nichols PID controllers and that of the fuzzy selftuning of PID control scheme for system with time delays are given to illustrate the performance of the proposed control scheme.
Fuzzy Model Control for Maglev Suspension System
Authors: Su Kuo-Ho  , Pham Duy-Thanh  , Tsung Tsing-Tshih  , Yang Chan-Yun
Published: February 2025

The maglev suspension system or magnetic levitation system (MLS), using the electromagnetic force to float, can effectively reduce the mechanical vibration friction and wearing loss caused by contact operation. However the parameters in the mathematical model are related to the permanent magnet geometry, distance and the total mass of the platform. To achieve fast response, a fuzzy system and the parameter identification algorithm for maglev suspension system are proposed in the paper. The proposed first fuzzy model method is based on the table lookup scheme (TLS) to establish a common fuzzy system procedure. By gathering the input and output data pairs, a fuzzy system is created to replace the currently used mathematical model. On the other hand, due to the parameters are related to the hardware structure, the second gradient descent algorithm (GDA) is proposed. By using the gathered data pairs, the parameters of membership functions are updated through the gradient descent algorithm. In this paper, the fuzzy model systems based on TLS and GDA are applied to ensure the effectiveness of tracking performance by replacing the mathematical model of MLS. From the results, the chattering phenomenon is reduced and fast response can be obtained without degrading the tracking performance.
A Local Center Self-Deployment Strategy for Mobile Wireless Sensor Networks
Authors: Chang Jau-Yang  , Liu Bing-Xin
Published: February 2025

The mobile wireless sensor nodes are expected to be used in a high dangerous region and to replace people for discovering and collecting the data information. Suitable deployment is one of the most important issues for the sensor nodes to obtain a reasonable coverage ratio and to reduce the energy consumption in a large scale sensing area. Because the moving distance of sensor nodes will affect the deployment time and energy consumption, it is important and necessary to develop an efficient self-deployment strategy. In this paper, we propose a new approach for the utilization of repulsion and center attraction virtual forces by adopting the concepts of virtual local center. The main goal of this strategy is to keep suitable distances among the sensor nodes. It leads to a lower deployment time and a higher sensing region for the sensor nodes. Simulation results show that the proposed strategy provides an appropriate coverage ratio, deployment time, and moving distance for the sensor nodes in mobile wireless sensor networks.
Towards Communication Requirements in the Operating Room and Clinic IT
Authors: Pahontu Raluca  , Will Armin  , Bergh Björn
Published: February 2025

Today, connecting medical devices to the hospital network becomes a priority for many hospitals. User and operator requirements for communication must be considered in order to develop an adequate interoperable integration approach. This paper conducts a requirement study using questionnaires and working groups investigating 16 clinical communication requirements for connecting medical devices with each other and with clinical IT systems. Six German Hospitals order the communication requirements by their clinical relevance and categorize those into four main clusters. Communication requirements regarding accurate data transfer and processing for patients and devices have top priority, while communication requirements regarding remote manipulation of medical devices have low rank. Connecting medical devices to clinical IT systems improves clinical documentation and with it patient care processes.
Textual Analysis of Collaboration Notes of the Telemedical Heart Failure Network HerzMobil Tirol
Authors: Modre-Osprian Robert  , Gruber Katharina  , Kreiner Karl  , Schreier Guenter  , Poelzl Gerhard  , Kastner Peter
Published: February 2025

Management of heart failure is usually multidisciplinary and collaboration between stakeholders in a dedicated HI network like the HerzMobil Tirol can be supported by a mHealth-based telemedicine approach. The aim is to gain insights through textual analysis of collaboration notes that might trigger further developments and improvements of the HI network. A reusable pipeline for textual analysis of unstructured textual notes was implemented using the open source analytics software KNIME. After preprocessing, a keyword analysis was performed resulting in a classification of all notes in predefined categories.
Knowledge Management within the Medical University
Authors: Rauzina Svetlana Ye.  , Tikhonova Tatiana A.  , Karpenko Dmitriy S.  , Bogopolskiy Gennady A.  , Zarubina Tatiana V.
Published: February 2025

The aim of the work is studying the possibilities of ontological engineering in managing of medical knowledge. And also practical implementation of knowledge management system (KMS) in medical university. The educational process model is established that allows analyzing learning results within time scale. Glossary sub-system has been developed; ontologies of educational disciplines are constructed; environment for setup and solution of situational cases is established; ontological approach to assess competencies is developed. The possibilities of the system for solving situation tasks have been described. The approach to the evaluation of competence has been developed.
Toward More Successful Biomedical Informatics Education Programs and Ecosystems in the Arab World
Authors: Wageih Mohamed A.  , Marcano-Cedeño Alexis  , Gómez Enrique J.  , Mantas John
Published: February 2025

Biomedical & Health Informatics (BMHI) is relatively new in Arab States. However, several programs/ tracks are running, with high promises of expansion. Programs are evaluated by national authorities, not by a specialized body/association. This does not always mean that the program is of an international standard. One of the possible ways of ensuring the quality of these programs is to be evaluated by international agencies. The International Medical Informatics Association (IMIA) has the expertise in the evaluation BMHI education programs. Accredited programs staffs will have the opportunities for Internationalization and to be engaged with other top-notch organizations, which will have great impacts on the overall implementations of the BMHI in the Arab World. The goal of this document is to show to Arab Universities (pilot: Egypt) how to apply for IMIA Accreditation for their programs.
Multiprocessor Neural Network in Healthcare
Authors: Godó Zoltán Attila  , Kiss Gábor  , Kocsis Dénes
Published: February 2025

A possible way of creating a multiprocessor artificial neural network is by the use of microcontrollers. The RISC processors' high performance and the large number of I/O ports mean they are greatly suitable for creating such a system. During our research, we wanted to see if it is possible to efficiently create interaction between the artifical neural network and the natural nervous system. To achieve as much analogy to the living nervous system as possible, we created a frequency-modulated analog connection between the units. Our system is connected to the living nervous system through 128 microelectrodes. Two-way communication is provided through A/D transformation, which is even capable of testing psychopharmacons. The microcontroller-based analog artificial neural network can play a great role in medical singal processing, such as ECG, EEG etc.
Facebook and Health Information: Content Analysis of Groups Related to Schizophrenia
Authors: Athanasopoulou Christina  , Sakellari Evanthia
Published: February 2025

Facebook Groups is a space for connecting people with common interests. People with a psychiatric diagnosis use social networking sites. However Facebook Groups related to schizophrenia have not been investigated before. We aimed to examine Facebook Groups related to schizophrenia. Deductive content analysis was applied. Out of the included groups (N=32), the majority's principal objective was awareness creation (n=11, 34%) and support to those with schizophrenia and their caregivers (n=9, 28%). Monitoring the Facebook Groups' content related to schizophrenia and other mental disorders is essential, since it could be an important communication and support platform for people with the disorder and their caregivers.
Social Networks and Health
Authors: Perdiaris Christos  , Chardalias Konstantinos  , Magita Andrianna  , Mechili Aggelos E.  , Diomidous Marianna
Published: February 2025

Nowadays the social networks have been developed into an advanced communications tool, which is important for all people to contact each other. These specific networks do offer lots of options as well as plenty of advantages and disadvantages. The social websites are many in number and titles, such as the facebook, the twitter, the bandoo etc. One of the most important function-mechanisms for the social network websites, are the marketing tools. The future goal is suggested to be the evolution of these programs. The development of these applications, which is going to lead into a new era for the social digital communication between the internet users, all around the globe.
iSignIT – Communication App and Concept for the Deaf and Hard of Hearing
Authors: Albrecht Urs-Vito  , Jungnicke Tobias  , von Jan Ute
Published: February 2025

In medical settings, those who are deaf or hard of hearing and have to rely on sign language are often at a disadvantage when they want to communicate with doctors or other caretakers. Professional translators are not always available. To alleviate the problems, a mobile phrasebook for communication between affected patients and their caretakers was designed and implemented in form of the iSignIT-app. All of the phrases it contains are also available as videos recorded from native speakers of sign language. Based on the positive feedback received so far, we are now in the process of taking further steps to ensure continuing development and obtaining sustainable financing of the project; here, we will outline some of the steps to be taken.
The HealthierU Portal for Supporting Behaviour Change and Diet Programs
Authors: Berkovsky Shlomo  , Hendrie Gilly  , Freyne Jill  , Noakes Manny  , Usic Kathy
Published: February 2025

The use of online technologies for supporting participants of behaviour change and diet program is a timely and important research direction. We present HealthierU, adaptive online portal offering a suite of interactive support tools. The portal was evaluated in a 24-week study, which shows that regular reminders trigger increased interaction with the portal. We also analyse interaction patters conducive to weight loss and discuss possible factors of the attrition rates observed in the study.
Monitoring Technology Meets Care Work: Challenges of monitoring wet-beds in a nursing home
Authors: Kanstrup Anne Marie  , Bygholm Ann
Published: February 2025

Monitoring technology, especially sensor-based technology, is increasingly taken into use in care work. Despite the simplicity of these technologies – aimed to automate what appear as mundane monitoring tasks – recent research has identified major challenges primarily related to the technology's ability to meet the complexity of care work. Understanding intersectional challenges between these care technologies and care work is fundamental to improve design and use of health informatics. In this paper we present an analysis of interaction challenges between a wet-sensor at the task of monitoring wet beds at a nursing home. The analysis identifies the multifaceted nature of monitoring work and the intricacy of integrating sensor technology into the complex knowledge system of monitoring work.
Challenges in Improving Health Care by Use of Health Informatics Technology
Authors: Botin Lars  , Bertelsen Pernille  , Nøhr Christian
Published: February 2025

This chapter discusses the complementary role of Techno-Anthropological methodologies in relation to classical quantitative and qualitative methodologies. The chapter addresses the importance of evidencing the problems in health informatics and how these problems are framed in order to find appropriate solutions. It is the claim that problem based learning approaches (PBL) and inter-disciplinary teamwork is paramount in order to meet the current challenges of development and implementation of health informatics in the health care system. The triple aim of providing better health, better care at lower cost on a societal level is complemented by similar aims on an institutional and individual level in order to frame health informatics on a more holistic level. In order to achieve this goal we have to embrace concepts like co-creation and co-construction with users and actors. The aim of the chapter is condensed in methodological recommendations for Techno-Anthropological work in health informatics contexts.
Tracking Porters: Learning the Craft of Techno-Anthropology
Authors: Bruun Maja Hojer  , Krause-Jensen Jakob  , Saltofte Margit
Published: February 2025

Anthropology attempts to gain insight into people's experiential life-worlds through long-term fieldwork. The quality of anthropological knowledge production, however, does not depend solely on the duration of the stay in the field, but also on a particular way of seeing social situations. The anthropological perspective is grounded in socio-cultural theory and forged by a distinct relativist or contextualist epistemological stance. The point is to understand events, concepts and phenomena from the insiders' point of view and to show how this view relates to the particular social and cultural context. In this chapter, we argue that although anthropology has its specific methodology – including a myriad of ethnographic data-gathering tools, techniques, analytical approaches and theories – it must first and foremost be understood as a craft. Anthropology as craft requires a specific ‘anthropological sensibility’ that differs from the standardized procedures of normal science. To establish our points we use an example of problem-based project work conducted by a group of Techno-Anthropology students at Aalborg University, we focus on key aspects of this craft and how the students began to learn it: For two weeks the students followed the work of a group of porters. Drawing on anthropological concepts and research strategies the students gained crucial insights about the potential effects of using tracking technologies in the hospital.
A New Platform for Editing Digital Multimedia: The eTalks
Authors: Clivaz Claire  , Rivoal Marion  , Sankar Martial
Published: February 2025

The eTalks are a new digital multimedia editing plaform developed at the University of Lausanne: their application is implemented via an easy-to-use editor interface, designed for the use of researchers themselves, to create and edit original eTalks. This permits the linking together of images, sounds and textual materials with hyperlinks, enriching it with relevant information. The final release of eTalks allows complete ‘citability’ of its contents: each and every portion of the researchers' talks can be precisely referred to and thus cited with a specific identifier, just like any traditional, paper-based scientific publication but with all the potential for plural literacies. It is openly accessible and the code is open source, including guidelines to install the eTalks. It contributes to the development of multiliteracies in the digital academic production of knowledge.
Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange
Authors: Dixon Brian E.  , Gibson P. Joseph  , Frederickson Comer Karen  , Rosenman Marc
Published: February 2025

Assessment is a core function of public health. Comprehensive clinical data may enhance community health assessment by providing up-to-date, representative data for use in public health programs and policies, especially when combined with community-level data relevant to social determinants. In this study we examine routinely collected and geospatially-enhanced EHR data to assess population health at various levels of geographic granularity available from a regional health information exchange. We present preliminary findings and discuss important biases in EHR data. Future work is needed to develop methods for correcting for those biases to support routine epidemiology work of public health.
Extraction Of Adverse Events From Clinical Documents To Support Decision Making Using Semantic Preprocessing
Authors: Gaebel Jan  , Kolter Till  , Arlt Felix  , Denecke Kerstin
Published: February 2025

Clinical documentation is usually stored in unstructured format in electronic health records (EHR). Processing the information is inconvenient and time consuming and should be enhanced by computer systems. In this paper, a rule-based method is introduced that identifies adverse events documented in the EHR that occurred during treatment. For this purpose, clinical documents are transformed into a semantic structure from which adverse events are extracted. The method is evaluated in a user study with neurosurgeons. In comparison to a bag of word classification using support vector machines, our approach achieved comparably good results of 65% recall and 78% precision. In conclusion, the rule-based method generates promising results that can support physicians' decision making. Because of the structured format the data can be reused for other purposes as well.
Automated Classification of Pathology Reports
Authors: Oleynik Michel  , Finger Marcelo  , Patrão Diogo F. C.
Published: February 2025

This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the International Classification of Diseases for Oncology (ICD-O). Data from 94,980 patients of the A.C. Camargo Cancer Center was used for training and validation of Naive Bayes classifiers, evaluated by the F1-score. Measures greater than 74% in the topographic group and 61% in the morphologic group are reported. Our work provides a successful baseline for future research for the classification of medical documents written in Portuguese and in other domains.
The MFER structure for coding medical signals in real time
Authors: Lee Yonghee  , Kim Jaehyuk  , Kim Soonseok  , Lee Kangwoo  , Kim Dongho
Published: February 2025

We present the structure of the MFER coder to store the medical signals in real time. The MFER is the rules to describe the file with tags the medical signal such as ECG, EEG, etc. However, because the MFER has the simple structure, and is stored as a file unit, it is difficult to process the signal with MFER rules in real-time. To do this, By storing the signal into small unit of time, it is possible to handle as if the signal is stored continuously. The structure of the presented MFER coder is verified in the results.