bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparison of Two Principal Systems for Monitoring of Technology-Induced Errors in Electronic Health Records
Authors: Palojoki Sari  , Borycki Elizabeth M.  , Kushniruk Andre W.  , Saranto Kaija
Published: February 2025

Current methods for monitoring harm caused by health information technology (HIT) are minimal, even if there are known risks associated with the use of HIT. Monitoring is predominantly based on voluntary reporting using generic patient safety adverse events reporting systems. Another important means for monitoring technology-induced errors is a health authority reporting system. International oversight systems have medical devices' related software's adverse event and failure reporting models, but these systems differ due to differencies in the legislation. The protocol for this study included an electronic database literature search and the eliciting of information for study purposes from the literature. The purpose is to provide a scoping review focused on two types of systems and provide implications for monitoring technology-induced errors in the future. The analysis revealed not only differences, but also similarities between these systems which raises the question of these systems' effectiveness due to overlapping goals in collecting data.
Patient Handovers – Cognitively Demanding: Does the Handover EHR Meet This Challenge?
Authors: Hübner Ursula  , Przysucha Mareike
Published: February 2025

Patient handovers are crucial to warrant continuity of care and patient safety. The handoverEHR is an instrument that allows users to depict the main features of a clinical case in cognitive maps. We were interested whether this tool had an effect on the task load. A cross-over study with 30 nursing students was therefore conducted. Mental demand showed a statistical trend to be lower in cognitive map handovers than in the other handover types.
Privacy Policy Implementation on the Nation-Wide EHR in Japan for Hospitals and Patients
Authors: Kume Naoto  , Kobayashi Shinji  , Araki Kenji  , Yoshihara Hiroyuki
Published: February 2025

Shared clinical information is an important contribution to regional medicine. Clinical information sharing with patients is also recommended to motivate patients and promote health. On the other hand, the threat of information leaks, caused by internet connected records, is critical to hospitals. The traditional approach is complete isolation of hospital networks, instead of information sharing. The authors propose methods here to maximize information sharing by following hospital preferences for electronic health records.
Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support
Authors: Gaebel Jan  , Cypko Mario A.  , Oeltze-Jafra Steffen
Published: February 2025

Diagnostic delay involves the peril of information becoming outdated. It is a challenging task to quantify the up-to-dateness of clinical information and the consequences of diagnostic delay with the goal of considering them in clinical decision support. We propose an approach to integrating the up-to-dateness of clinical information in a model-based therapy decision support system.
Clinical Workflow Modeling in Obstetrics: Hepatitis B in Pregnancy
Authors: Shamoon Fadi  , Leitich Harald  , de Bruin Jeroen S.  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

Evidence-based clinical guidelines positively effect physician decision-making. Actionable clinical guidelines that actively trigger alerts, reminders, and instructive texts will increase effectiveness. We applied Activiti, a Business Process Model and Notation language system to model a clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized clinical workflow. Furthermore, we implemented an interconnected Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software.
Evaluation of Clinical Nursing Information System in Taiwan Regional Hospital
Authors: Chou Wan-Jie  , Tsai Pei-Yu  , Lin Shu-Ying  , Hou I-Ching
Published: February 2025

The purpose of this study was to evaluate the Clinical Nursing Information System (CNIS) in Taiwan regional hospital. In 2016, a total of 333 nurses responded to the Technology Acceptance Model-based questionnaire after 15 months of CNIS implementation. The results showed positive acceptance toward CNI, especially among those nurses who were younger, those who worked as administrative managers or in non-critical care units, and had advanced computer skills.
Development of Safety and Usability Guideline for Hospital Information System
Authors: Lee Yura  , Jung Min-Young  , Shin Gee Won  , Bahn Sangwoo  , Park Taezoon  , Lee Jae-Ho
Published: February 2025

Hospital Information systems (HIS) provide efficiency in clinical practice, and give users the chances of systemic feedback, recommendations based on evidences. However, HIS without consideration of usability or patient safety could make adverse events. In this study, we suggest safety/usability guideline of HIS, extracted via systemic review of related articles. We categorized the guidelines and recommendations by clinical workflow.
Operational Data Model Conversion to ResearchKit
Authors: Soto-Rey Iñaki  , Geßner Sophia  , Dugas Martin
Published: February 2025

The increasing use of electronic health information systems brings up an unresolved issue: the lack of interoperability between these systems. The Clinical Data Interchange Standards Consortium's Operational Data Model (ODM) is an xml based standard for the exchange of clinical data and metadata. The University of Münster has been using ODM to store medical forms in a web based metadata registry called Portal of Medical Data Models, which includes a complete set of tools to transform ODM forms into other formats. One kind of medical form is the Patient Reported Outcome, a trending type due to its easy integration with mobile data capture systems. ResearchKit is a development framework that allows the easy creation of these for iOS devices; unfortunately its current interoperability is limited. This research proposes a mapping between ODM and ResearchKit and presents the successful implementation of a converter for ODM into JSON based ResearchKit readable files.
Locally Adaptive Operators for Red Lesions Detection in Eye Fundus Images
Authors: Bagesteiro Luiza Dri  , Welfer Daniel  , Cordeiro d'Ornellas Marcos  , Kazienko Juliano F.  , Pereira Haygert Carlos Jesus  , Dotto Gustavo Nogara
Published: February 2025

One of the major features required by automated software tools of screening for diabetic retinopathy is the detection of red lesions. This paper presents a new automatic method in order to locate red lesions in color eye fundus images. The method relies on mathematical morphology operators and has a coarse and a fine detection stages, respectively. The former detection stage detects structures of low-intensity values in the retina, such as microaneurysms, hemorrhages, blood vessels and the fovea center. Additionally, the latter stage proposes to improve the detection of red lesions identified in the previous stage. For experiments, we use the well-known publicly available DIARETDB1 database. The results indicate that our method detected red lesions with 75.81% and 93.48% of mean sensitivity and mean specificity, respectively.
Constructing a Gene-Drug-Adverse Reactions Network and Inferring Potential Gene-Adverse Reactions Associations Using a Text Mining Approach
Authors: Sui MingShuang  , Cui Lei
Published: February 2025

Our objective was to identify and extract gene-drug and drug-adverse drug reaction (ADR) relationships from different biomedical literature collections, and to predict the possible association between gene and ADR. The drug, ADR and gene entities were recognized by a CRF model with multiple features. Logistic regression models were constructed for each drug-ADR and drug-gene pair based on its frequency, Mesh Rule association and similarity with known association etc. Using predicted score to generate drug-ADR matrix and drug-gene matrix, and then calculating for gene-ADR matrix. Network and clustering analysis were applied to verify and interpret the relationship between them. A total of 78014 potential gene-ADR associations were predicted. Part of the predicted results can be explained by the network-clustering-pathway analysis, and verified in the literature. The gene-drug-ADR network constructed in this study can provide a reference for the possible association between the gene and ADR.
A Virtual Earth Model of the Dementias in China
Authors: Robertson Hamish  , Nicholas Nick  , Travaglia Jo  , Hayen Andrew  , Georgiou Andrew
Published: February 2025

This developmental project was undertaken to explore how applying spatial science analysis and visualisation methods might inform societies undergoing significant structural and demographic change. China is rapidly transitioning to an aged society. It already exceeds all other countries in its population aged 65 years and over. Dementia is closely correlated with ageing and intersects with a variety of physical and cognitive disabilities. Information dashboards are a growing part of health and social policy data environments. These visual data applications increasingly include mapping capabilities. In this paper, we explore the utility of a geographic modelling approach to exploring the complex nature of population ageing and the dementias in China.
Evaluation of the Association Between Different Patient Indexing Strategies and Effective Indexing in Health Centers of the Public System of the Autonomous City of Buenos Aires: An Exploratory Study
Authors: Esteban Santiago  , Palermo Cecilia  , Alassia Leandro  , Giussi M. Victoria  , Baum Analía  , González Bernaldo de Quirós Fernán
Published: February 2025

During the implementation of an electronic health record (EHR) system in the public system of the city of Buenos Aires, Argentina, different patient indexing strategies were devised and implemented. We sought to assess the association between these strategies and effective indexing (proportion of patients who are indexed and have a consultation registered in the EHR). Strategies were grouped into three modalities (High, Intermediate, and Low intensity). We estimated hazard ratios (HR) comparing the High and Low intensity to the Intermediate strategies. The crude analyses showed a significant difference between the curves (p < 0.0001). In the multivariate analysis, the HRs of High and Low intensity interventions showed on average, values above 1 from 0 to 90 days compared to the Intermediate intensity strategy (High: 2.08 (1.65, 2.52); Low: 2.59 (2.29, 2.9)). From that point on, the HRs of both strategies were not different from 1.
Ethical Issues in Implementing National-Level Health Data Warehouses in Developing Countries
Authors: Gesicho Milka B.  , Moon Troy D.  , Heitman Elizabeth  , Were Martin C.
Published: February 2025

National Health Data Warehouses (NHDWHs) promise to improve individual and population health. These systems are now increasingly being deployed in low- and middle-income countries (LMICs), given increased recognition of the value of data analytics in informing decision-making. However, ethical issues relevant to implementation of NHDWHs in LMICs remain largely ignored or, at best, inadequately addressed. In this paper, we highlight and critically analyze several of the key ethical issues, including privacy, informed consent and trust, confidentiality and security, secondary data use, sustainability and implementation validity, risk-benefit ratio, governance and conflict of interest, justice, equity, access, and collaborative partnerships. We then provide a set of guiding principles and points to consider for countries and implementers to guide further decision-making around ethics of implementing NHDWHs within LMICs.
User Centred Design and Nosocomials in Surgical ICUs: A Mobile Application for Peer Monitoring and Training in Hand Hygiene
Authors: Kariyawasam Nadish  , Wong Ming Chao  , Turner Paul
Published: February 2025

Nosocomial infections are a global public health risk. In low and middle-income countries the problem is acute with very high infection rates commonly contributing to poor patient outcomes including mortality. Organisational, cultural, and individual factors have been identified in these high rates, with poor hand hygiene compliance amongst clinicians a major risk factor. New approaches to achieving clinician behaviour change are required. User-centred approaches have proven effective to engage and support changes in clinician behaviours through the use of electronic tools. This paper reports on the experience of co-designing and implementing a mobile application with clinicians to enhance hand hygiene compliance. The peer monitoring and training supported by the application aims to directly contribute to evidence on reductions in infection rates in two surgical ICUs in Sri Lanka.
Change Management Strategies: Transforming a Difficult Implementation into a Successful One
Authors: Giussi María Victoria  , Baum Analía  , Plazzotta Fernando  , Muguerza Pablo  , González Bernaldo de Quirós Fernán
Published: February 2025

The implementation of health Information Technologies (IT) contributes to improve quality of care and management processes. In spite, evidence shows that the rates of IT adoption are not the expected ones. Since 2004, Public Healthcare System of Buenos Aires city has been implementing a Healthcare Information System with a difficult adoption in clinical setting. In December 2015, the Government made some changes that allowed the implementation of an Electronic Health Record in 20 Primary Care Centers. This paper describes the change management strategies that were designed in order to transform a difficult implementation into a successful one. The combination of timely approach to change management, good governance and specialized human resources were keys to achieve this goal.
A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR
Authors: Jiang Guoqian  , Kiefer Richard C.  , Sharma Deepak K.  , Prud'hommeaux Eric  , Solbrig Harold R.
Published: February 2025

A variety of data models have been developed to provide a standardized data interface that supports organizing clinical research data into a standard structure for building the integrated data repositories. HL7 Fast Healthcare Interoperability Resources (FHIR) is emerging as a next generation standards framework for facilitating health care and electronic health records-based data exchange. The objective of the study was to design and assess a consensus-based approach for harmonizing the OHDSI CDM with HL7 FHIR. We leverage a FHIR W5 (Who, What, When, Where, and Why) Classification System for designing the harmonization approaches and assess their utility in achieving the consensus among curators using a standard inter-rater agreement measure. Moderate agreement was achieved for the model-level harmonization (kappa = 0.50) whereas only fair agreement was achieved for the property-level harmonization (kappa = 0.21). FHIR W5 is a useful tool in designing the harmonization approaches between data models and FHIR, and facilitating the consensus achievement.
Photographic Assessment of Coral Stress: Effect of Low Salinity to Acropora sp. Goniopora sp. and Pavona sp. at Sichang Island, Thailand
Authors: Rungsupa Sompop  , Chawakitchareon Petchporn  , Hansuebsai Aran  , Sasaki Shiori  , Kiyoki Yasushi
Published: February 2025

Three species of corals at Sichang Island i.e. Acropora sp. Goniopora sp. and Pavona sp. were subjected to a stress test with low salinity and normal salinity at concentration 10, 20 and 30 psu, respectively. Under water photograph and eye observation of coral activity were recorded at 12, 24 and 48 hours. The entropy or surface roughness and percent polyp activity were analyzed with comparison to eye observation of coral activity. The experiment was carried out under continuously water temperature and underwater light intensity controlled. The results indicated that “Healthy” entropy values for Acropora sp. are 1.57–1.62 and for Goniopora sp. are 4.26–4.46. In contrast, for Pavona sp., short polyp coral, there was no “Healthy” entropy value resulted from any photographic assessment in this study. The “Healthy” value of Acropora sp. evaluated from percent active polyp was more than 52.4. For conclusion, The Entropy and percent active polyp values were suitable tools for Acropora sp. and Pavona sp., a short polyp coral's healthy identification. Whereas the eye observation of coral activity both percent polyp extend and percent polyp long was suitable for Goniopora sp., a long polyp coral.
A Continuous Delivery Framework for Business Intelligence
Authors: Puonti Mikko  , Järvi Juha  , Mikkonen Tommi
Published: February 2025

In the context of business intelligence, data warehousing is often perceived as an integral component of concrete business intelligence solutions. Since the nature of a traditional data warehouse is accumulative – data from operational systems is fed in to the system when it is ready for inclusion – and as the data from different component systems is interrelated, operations involving data warehouses have been traditionally considered tedious and delicate. Distinct steps take place one after another in a predefined, next to unalterable sequence. In this paper, we present an alternative model for dealing with data warehouses, where the goal is to apply principles of continuous software engineering in the domain of business intelligence. To validate the methodology, we present a tool chain that has been used in a real-life implementation of a business intelligence solution, together with experiences from its operations.
Logic of Dynamic Discourse; Anaphora Resolution
Authors: Duží Marie
Published: February 2025

A method for computing the complete meaning of sentences with anaphoric reference is presented, that is, the method for implementing the substitution of an appropriate antecedent to accompany the anaphoric reference. Our method is similar to the one applied in general by Hans Kamp's Discourse Representation Theory (DRT). ‘DRT’ is an umbrella term for a collection of logical and computational linguistic methods developed for a dynamic interpretation of natural language, where each sentence is interpreted within a certain discourse, which is a sequence of sentences uttered by a group of speakers. Interpretation conditions are given via instructions for updating the discourse representation. Yet these methods are mostly based on first-order logics. Thus, only expressions denoting individuals (indefinite or definite noun phrases) can introduce so-called discourse referents, which are free variables that are updated when interpreting the discourse. Our background theory is Pavel Tichý's Transparent Intensional Logic with its procedural rather than set-theoretic model semantics. Since our semantics is procedural, hence hyperintensional and higher-order, not only individuals, but entities of any type, like properties of individuals, propositions and hyperpropositions, relations-in-intension, and even constructions (i.e., meanings of antecedent expressions), can be linked to anaphoric variables. Moreover, the thoroughgoing typing of the universe of TIL makes it possible to determine the respective type-theoretically appropriate antecedent, which is one of the novel contributions of this paper. The second novelty is the specification of the algorithm for dynamic discourse representation within TIL.
Toward Building a Legal Knowledge-Base of Chinese Judicial Documents for Large-Scale Analytics
Authors: Gupta Amarnath  , Wang Alice Z.  , Lin Kai  , Hong Haoshen  , Sun Haoran  , Liebman Benjamin L.  , Stern Rachel E.  , Dasgupta Subhasis  , Roberts Margaret E.
Published: February 2025

We present an approach for constructing a legal knowledge-base that is sufficiently scalable to allow for large-scale corpus-level analyses. We do this by creating a polymorphic knowledge representation that includes hybrid ontologies, semistructured representations of sentences, and unsupervised statistical extraction of topics. We apply our approach to over one million judicial decision documents from Henan, China. Our knowledge-base allows us to make corpus-level queries that enable discovery, retrieval, and legal pattern analysis that shed new light on everyday law in China.
Answering Legal Research Questions About Dutch Case Law with Network Analysis and Visualization
Authors: van Kuppevelt Dafne  , van Dijck Gijs
Published: February 2025

The availability of large collections of digitalized legal texts raises an opportunity for new methodologies in legal scholarship. Analysis of citation networks of case law gives insight into which cases are related and to determine their relevance. Software tools that provide an graphical interface to case law networks are required in order to enable non-technical researches to use network analysis methodologies. In this study, we present open source software for the analysis and visualization of networks of Dutch case law, aimed for use by legal scholars. This technology assists in answering legal research questions, including determining relevant precedents, comparing the precedents with those identified in the literature, and determining clusters of related cases. The technology was used to analyze a network of cases related to employer liability.
Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems
Authors: Benis Arriel  , Notea Amos  , Barkan Refael
Published: February 2025

“Disaster” means some surprising and misfortunate event. Its definition is broad and relates to complex environments. Medical Informatics approaches, methodologies and systems are used as a part of Disaster and Emergency Management systems. At the Holon Institute of Technology – HIT, Israel, in 2016 a National R&D Center: AFRAN was established to study the disaster's reduction aspects. The Center's designation is to investigate and produce new approaches, methodologies and to offer recommendations in the fields of disaster mitigation, preparedness, response and recovery and to disseminate disaster's knowledge. Adjoint to the Center a “Smart, Intelligent, and Adaptive Systems” laboratory (SIAS) was established with the goal to study the applications of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) to Risk and Disaster Management (RDM). In this paper, we are redefining the concept of Disaster, pointing-out how ICT, AI, in the Big Data era, are central players in the RDM game. In addition we show the merit of the Center and lab combination to the benefit of the performed research projects.
Monitoring Daily Physical Conditions of Older Adults Using Acoustic Features: A Preliminary Result
Authors: Yamada Yasunori  , Shinkawa Kaoru  , Takase Toshiro  , Kosugi Akihiro  , Fukuda Kentarou  , Kobayashi Masatomo
Published: February 2025

Health monitoring in everyday situations has become important due to the rapid aging of many societies. Speech changes have been suggested as a means of measuring an individual's state, such as emotion and stress, and screening for neurodegenerative diseases. However, how speech features are associated with daily physical conditions remains unknown. In this study, we investigated whether acoustic features collected in everyday situations could be used for inferring the daily physical conditions of older adults. We analyzed speech data collected in two settings of monitoring the health of older adults: during phone calls with an actual service for regularly monitoring older adults and with a tablet-based monitoring system we developed. Through analyses, we suggest that acoustic features extracted from speech data in everyday situations may be used for detecting poor physical conditions.
Reflection on Mobile Applications for Blood Pressure Management: A Systematic Review on Potential Effects and Initiatives
Authors: Mohammadi Reyhaneh  , Ayatolahi Tafti Movahhedeh  , Hoveidamanesh Soodabeh  , Ghanavati Reza  , Pournik Omid
Published: February 2025

Introduction: Ischemic heart disease and stroke have been considered as the first global leading cause of death in last decades [1]. Blood pressure (BP) management is one of the easiest ways suggested for preventing and controlling cardiovascular diseases before the patient develops complications and death-following outcomes. Appearance of technology advancements in the health system has motivated researchers and health providers to study its different aspects and applications in order to improve disease prevention and management. Following these efforts, mobile health (mHealth) technologies were presented to provide people with fast and easier-to-use services. Although there are some unsolved challenges, these technologies have become popular among many people. As an important part of mHealth, mobile applications (apps) have been the focused subject of many studies in the last decade. The objective of this systematic review is to assess the potential effects of mobile apps designed for BP management by scrutinizing the related studies.
From Data Extraction to Analysis: Proposal of a Methodology to Optimize Hospital Data Reuse Process
Authors: Lamer Antoine  , Ficheur Grégoire  , Rousselet Louis  , van Berleere Marine  , Chazard Emmanuel  , Caron Alexandre
Published: February 2025

In the Lille University Hospital (North of France), data from the Anesthesia Information Management System (Diane® are linked to the Hospital Information System and stored in a dedicated data warehouse since 2010. These electronic medical records need to be reused and analyzed for observational studies. The aim of this paper is to describe the framework developed to structure the operation of that anesthesia data warehouse for research purposes. The presented framework is structured around three meetings between clinicians, computer scientists, and statisticians. The data scientist acts as a coordinator, leads meetings, and checks each milestone. Reuse of anesthesia-related electronic medical record for research purposes is only allowed through this framework. The aim of the first meeting is to decide the primary and secondary objectives of the study. The aim of the second meeting is to validate the statistical protocol. The data are extracted and the statistical analyses are performed. Finally, the results are presented, explained and discussed during the third meeting. During a 6 months period, 27 projects were included in the framework leading to 5 scientific communications. As a result, case studies with extraction and/or analysis situations are presented. This collaboration led to an empowerment process between all three actors, which increased efficiency of the workflow. Implementation of this framework will keep encouraging collaborative publication in order to provide reproducible research evidence.
Transparency and Quality of Health Apps: The HON Approach
Authors: Ranasinghe Mayoni  , Cabrera Aude  , Postel-Vinay Nicolas  , Boyer Célia
Published: February 2025

We are well into the 21st century and the Internet has been around long enough that there are adults who have not known a world without this wonderful tool. And just as time has gone since the beginnings of the Internet, so too has it developed, probably above and beyond the wildest dreams of its founders. These developments, though mostly positive, also have their share of the not so positive. One of these challenges is the difficulty in maintaining accuracy and quality of all the information, data gathered, aggregated or automatically generated being displayed on the Internet on Web websites or via mobile application, and this is a concern in the health domain. In this paper, we attempt to discuss in detail, some of the latest developments along with the challenges each of them entail and proposed Code of Conduct for health apps and connected objects.
Personalised Care Plan Management Utilizing Guideline-Driven Clinical Decision Support Systems
Authors: Laleci Erturkmen Gokce Banu  , Yuksel Mustafa  , Sarigul Bunyamin  , Lilja Mikael  , Chen Rong  , Arvanitis Theodoros N.
Published: February 2025

Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans.
Evaluation of SNOMED CT Content Coverage: A Systematic Literature Review
Authors: Khorrami Farid  , Ahmadi Maryam  , Sheikhtaheri Abbas
Published: February 2025

Background: One of the most important features studied for adoption of terminologies is content coverage. The content coverage of SNOMED CT as a large scale terminology system has been evaluated in different domains by various methods.
Spatiotemporal Gait Variables Using Wavelets for an Objective Analysis of Parkinson Disease
Authors: Castaño Yor  , Arango Juan  , Navarro Andrés
Published: February 2025

Parkinson's disease generates a special interest in factors such as gait patterns, posture patterns, and risk of falls. The human gait pattern has a basic unit called the gait cycle, composed of two phases: stance and swing. Using gait analysis it is possible to get spatiotemporal variables as walking speed and step number derived from stance and swing phases. In this paper, we explore the feasibility of wavelet techniques to analyze gait signals, we use a member of Daubechies family to distinguish automatically gait phases, this approach allowed us to estimate spatiotemporal variables that shows significant differences between Parkinson patients and non-Parkinson patients, this result aims to allow clinical experts to easily diagnose and assess Parkinson patients, with short evaluation times and with non-invasive technologies.
Embedded Sensor Systems for Health – A Step Towards Personalized Health
Authors: Lindén Maria  , Björkman Mats
Published: February 2025

The demography is changing towards older people, and the challenge to provide an appropriate care is well known. Sensor systems, combined with IT solutions are recognized as one of the major tools to handle this situation. Embedded Sensor Systems for Health (ESS-H) is a research profile at Mälardalen University in Sweden, focusing on embedded sensor systems for health technology applications. The research addresses several important issues: to provide sensor systems for health monitoring at home, to provide sensor systems for health monitoring at work, to provide safe and secure infrastructure and software testing methods for physiological data management. The user perspective is important in order to solve real problems and to develop systems that are easy and intuitive to use. One of the overall aims is to enable health trend monitoring in home environments, thus being able to detect early deterioration of a patient. Sensor systems, signal processing algorithms, and decision support algorithms have been developed. Work on development of safe and secure infrastructure and software testing methods are important for an embedded sensor system aimed for health monitoring, both in home and in work applications. Patient data must be sent and received in a safe and secure manner, also fulfilling the integrity criteria.
Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio
Authors: Gholamhosseini Hamid  , Baig Mirza  , Rastegar Solmaz  , Lindén Maria
Published: February 2025

High blood pressure (BP) is one of the common risk factors for heart disease, stroke, congestive heart failure, and kidney disease. An accurate, continuous and cuffless BP monitoring technique could help clinicians improve the rate of prevention, detection, and treatment of hypertension and related diseases. Pulse transit time (PTT) has attracted interest as an index of BP changes for cuffless BP measurement techniques. Currently, PPT-based BP measurement approaches have improved and are able to relieve the discomfort associated with an inflated cuff such as that used in auscultatory and oscillometric BP measurement techniques. However, PTT can only track the BP variation in high frequency (HF) which limits the true representation of BP changes. This paper presents a continuous and cuffless BP monitoring method based on multi-parameter fusion. We used photoplethysmogram (PPG) and a two-lead electrocardiogram (ECG) and employed an algorithm based on PTT and the PPG intensity ratio (PIR) to continuously track BP in both high and low frequencies and estimate systolic and diastolic BP.
The Effect of Long-Period Components of Added Resistance in Irregular Waves on Ship Performance in Actual Seas
Authors: Kuroda Mariko  , Takagi Ken  , Tsujimoto Masaru  , Fujisawa Junichi
Published: February 2025

Added resistance in irregular waves is generally calculated in frequency-domain as the mean value. However, the mean value would be different from the averaged value in consideration of long-period components. Long-period components of added resistance in irregular waves have been rarely considered since tank tests method in irregular waves have not been established due to the effect by the appended restoring force, and the estimation method has not been verified. In this paper, long-period components are evaluated with Newman's approximation, and the correction for inertia force is employed for tank tests in order to eliminate the effect of appended restoring force. Through tank tests, the analysis method of tank tests data and the estimation method have been confirmed. The effect of long-period components on ship performance in actual seas are examined in a case example of PCC. As a result, it has been found that in consideration with the long-period components, the required power at the same speed might be different about 10% from that with the mean value calculated by the conventional frequency-domain method.
Possibility of Placing a Retractable Sail System for an Oil Tanker to Optimize Its Efficiency
Authors: Faitar Catalin  , Stan Liviu Constantin
Published: February 2025

Nowadays, self-propelled maritime transport increasingly depends on the use of new technologies and energy from renewable sources. The Action Plan clearly shows that the vision of building a ship that does not release emissions is realistic. As far as manufacturing time is concerned, it is not only a question of technology development but also of the advancement of economy, infrastructure, laws, the freight market, etc. This paper aims to analyze a VLCC ship in terms of energy efficiency by introducing innovative systems on board and correlating with the classical systems of the ship. Also, the paper present theoretical and practical considerations for optimizing the operation of energy systems at a VLCC of 305000 dwt. The paper introduces an innovative VLCC concept where, through onboard innovative power systems, bring major improvements to this type of ship.
Risk Based Design
Authors: Davies Paul  , Nardo Marco
Published: February 2025

The shipping industry is going through a period of rapid technological change, and the rate of change is accelerating. This change is making it impossible for traditional prescriptive class and statutory requirements to keep pace with engineering advances. LR have developed a new ShipRight Procedure Risk Based Designs which is intended to provide a consistent and transparent process to assist both clients and surveyors when working on projects for which prescriptive rules does not exist or where these rules are not in themselves suitable and sufficient. This process is not intended to replace traditional rules, but rather to manage the process of implementing technology. This will allow Class societies and other bodies of the industry to achieve the knowledge/experience necessary for the development of prescriptive rules. Whilst the final objective is to develop prescriptive rules for emerging technologies a process to manage deviations and the application of risk based principles will be needed even after such prescriptive rules are published. Paper will provide background on why the RBD process has been developed along with its basic principles. Typical field of applicability is any innovative field as for instance Low flash fuel systems (LNG, methanol, hydrogen, etc) and IGF code.
Application and Effect Evaluation of Infusion Management System Based on Internet of Things Technology in Nursing Work
Authors: Gao Yuan  , Kong Dan  , Fu Xiao-jie  , Pi Hong-ying
Published: February 2025

Purpose: Discussion on the application and effect evaluation of infusion management system based on internet of things technology in nursing work.
Using Real-Time Data to Warn Nurses of Medication Administration Errors Using a Nurse Situational Awareness Dashboard
Authors: Campbell Amy A.  , Harlan Todd  , Campbell Matt
Published: February 2025

Electronic Health Records (EHR) are constantly gathering an exponential amount healthcare data. Historical data is often studied to identify trends and determine the effectiveness of interventions, but rarely is Real-time data utilized to positively influence the nurse at the Point of Care. A dashboard allowing nurses to visualize their individual Near-Miss (MN) medication error risk as the needs and subsequent workload of the patients they served changed was created and piloted for 30- days. Implementation of the dashboard resulted in a 15.6% reduction of NMs.
Point of Care Solutions: Implementation of Sustainable Service Models
Authors: Fjola Smaradottir Berglind  , Werner Fensli Rune
Published: February 2025

Recent health reforms and strategies have urged Norwegian municipalities to re-organize their services to prepare for new ways of combining traditional home-based services with technology-assisted point of care interventions. This paper presents the outcomes from a qualitative study on modelling the municipal health care services for the future. The aim was to study the organisation and operation of point of care solutions and identify critical factors for how to model the services of the future.
An Information Enhanced Framework for Reporting Medication Events
Authors: Wang Ju  , Ali Eliza  , Gong Yang
Published: February 2025

Reporting systems are expected to enhance our understanding of root cause and contributing factors to errors. Lack of feedback and supportive information prohibits reporters benefitting from the purpose and lowers their motivation, which may result in underreporting and low-quality reporting. It is even more challenging to report an insulin-use event with high data quality due to the complex nature of insulin use. In this project, we proposed a framework to discover supportive information from the FDA Adverse Event Reporting System (FAERS), an open data source, to enhance the reporting of insulin-use events. The medications associated with insulin-use events and frequent reactions contained in insulin-use events manifested in FAERS are discovered. The information would be of significance in distinguishing medication names, optimizing adverse event description terms and improving report completeness. The framework represents a paradigm for developing an information enhanced electronic reporting system.
From a Generic to Neonatal HCE: Nursing Informatics Contributions
Authors: Daus Mariana  , Benitez Sonia  , Luna Daniel
Published: February 2025

Nursing professionals must be able to recognize and incorporate the knowledge acquired in the design of electronic systems and clinical devices, being able to integrate the workflow and knowledge in order to provide tools that help improve the interventions made to patients. This is even more relevant in specific type populations such as neonatal. The present work enunciates recommendations that must be taken into account when thinking about a registry oriented to these patients, based on the most relevant information existing in the bibliography.
Design and Application of Nursing CDSS Based on Structured EMR
Authors: Chunmei Rao  , Hualing Huang  , Haihua Zhu
Published: February 2025

To improve the safety, quality and efficiency of clinical nursing work by establishing intelligent nursing CDSS. Establishing nursing CDSS through the knowledge database of nursing plan and nursing routine. After use, the system nursing documents writing time was reduced, accuracy of nursing diagnosis was improved, and nursing risk events were decreased. Establish nursing CDSS is the trend of information development in hospitals, so it is worthy of clinical application.
Regional Differences in Predicting Risk of 30-Day Readmissions for Heart Failure
Authors: Mahajan Satish M.  , Mahajan Amey S.  , Negahban Sahand
Published: February 2025

Many researchers are working toward the goal of data-driven care by predicting the risk of 30-day readmissions for patients with heart failure. Most published predictive models have used only patient level data from either single-center studies or secondary data analysis of randomized control trials. This study describes a hierarchical model that captures regional differences in addition to patient-level data from 1778 unique patients across 31 geographically distributed hospitals from one health system. The model was developed using Bayesian techniques operating on a large set of predictors. It provided Area Under Curve (AUC) of 0.64 for the validation cohort. We confirmed that the regional differences indeed exist in the observed data and verified that our model was able to capture the regional variances in predicting the risk of 30-day readmission for patients in our cohort.
Development of Elderly Service System on the Basis of Big Data
Authors: Kuusisto Anne  , Asikainen Paula
Published: February 2025

This presentation includes action proposals with impact to growing older populations and shows how a plan for developing elderly service system was created as one part of a bigger welfare plan at one hospital district in Finland. The central part of preparing a plan was the public administration anonymous Big Data concerning ageing and functional capacity. The aim was to establish a customer-oriented plan based on the need for population service.
Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography
Authors: Gharehbaghi Arash  , Babic Ankica
Published: February 2025

This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method, but provides a graphical representation to compare the learning capacity of different classification methods. Two different methods, Deep Time Growing Neural Network (DTGNN) and Hidden Markov Model (HMM), are selected as two classification methods for comparison. Time series of heart sound signals are employed as the case study where the classifiers are trained to learn the disease-related changes. Results showed that the DTGNN offers a superior performance both in terms of the capacity and the structural risk. The A-Test method can be especially employed in comparing the learning methods with small data size.
Identifying Consumer Health Terms of Side Effects in Twitter Posts
Authors: Jiang Keyuan  , Chen Tingyu  , Calix Ricardo A.  , Bernard Gordon R.
Published: February 2025

Prevalence of social media has driven a growing number of health related applications with the information shared by online users. It is well known that a gap exists between healthcare professionals and laypeople in expressing the same health concepts. Filling this gap is particularly important for health related applications using social media data. A data-driven, attributional similarity-based method was developed to identify Twitter terms related to side effect concepts. For the 10 most common side effect (symptom) concepts, our method was able to identify a total of 333 Twitter terms, among which only 90 are mapped to those in the consumer health vocabulary (CHV). The identified Twitter terms are specific to Twitter data, indicating a need to expand the existing CHV, and many of them seem to have less ambiguity in word senses than those in CHV.
Home-Based Training Support for Stroke Patients Using the Leap Motion and StandInExercise Stand
Authors: Psychouli Pavlina  , Katzis Konstantinos  , Elliott Mark
Published: February 2025

Rehabilitation aims at brain rewiring through intensive practice following brain injury. This paper presents a new supportive mechanism that will be used to isolate wrist movement and in combination to the use of serious games, to act as a motivational tool to improve adherence during home-based practice. The paper describes the proposed methodology employed to carry out the home-based programme while leap motion is used to monitor and evaluate these exercises.
Gamifying Motion Control Assessments Using Leap Motion Controller
Authors: Fotopoulos Dimitris  , Kilintzis Vassilis  , Chytas Achileas  , Mavromoustakos Paris  , Loizidis Theodoros  , Chouvarda Ioanna
Published: February 2025

In rehabilitation, exergames and serious games are widely usedin order to motivate patients in the therapeutic procedure. Patients are asked to modify their incorrect motor patterns or reinforce the proper ones through activity rather than exercise. Interactive applications as such, can have a huge impact on a patient's motivation making repetitive physical exercises into pleasant experiences, thus maximizing the gains of therapy. In this paper we present the design and implementation of a serious game platform based on virtual 3D game environment and leap motion controller for interaction. For each session, achieved goals and response to stimuli is recorded and analyzed. Preliminary analysis results from evaluating the game with healthy subjects are encouraging.
Balancing Risk and Resilience: A Comparison of the Use of a Test Result Management System Across Two EDs
Authors: Li Julie  , Dahm Maria R.  , Thomas Judith  , Callen Joanne  , Westbrook Johanna I.  , Georgiou Andrew
Published: February 2025

Understanding the context and nuances of clinical performance at the front-line can provide valuable insights into why the effects of Health Information Technology implementation might differ across sites. It also helps to inform the design of systems that support performance flexibility as clinicians respond to the changing demands of the clinical environment. This study explored the use of an electronic result acknowledgement (eRA) system by physicians at two Emergency Departments (EDs) at Australian metropolitan teaching hospitals to understand how electronic result acknowledgement is managed differently in response to varying environmental demands. Semi-structured, in-depth interviews relating to physician electronic test result acknowledgement processes were conducted with 21 emergency physicians. Physician use of the eRA system differed in four aspects: i) responsibility (i.e. who acknowledges test results); ii) types of tests acknowledged; iii) coordination and synchronisation (i.e. when acknowledgement occurred); and iv) documentation of follow-up actions.