bluuebunny/crossref_metadata_2025 huggingface dataset:
Trial Implementation of a Telerehabilitation Exercise System in Residential Aged Care
Authors: Hutchinson Marie  , Wendt Neil  , Smith Stuart Trevor
Published: February 2025

The 2011 Productivity Commission report, Caring for Older Australians, observed that as the number of older Australians rises and the demand for aged care services increases, there will be a commensurate increase in demand for a well-trained aged care workforce. One of the significant issues impacting upon the ability of the aged services sector to respond to a growing number of older adults is to attract and retain sufficient numbers of staff. A number of factors are acknowledged to contribute to a failure of the aged care sector to attract and retain workers including: poor sector reputation, poor working conditions, including high client-staff ratios, a lack of career paths and professional development opportunities and low rates of remuneration. Poor perceptions about working in the aged care sector (e.g. that aged care nursing is less glamorous than nursing in the acute care sector) appear to develop early, with many nursing students indicating that they do not view aged care as an attractive career choice. Undergraduate nursing students have often found clinical placements in aged care unsatisfactory and unsettling, dissuading them from considering aged care as an employment option on graduation. In the following we describe one way we have attempted to address this issue by training undergraduate health sciences students (occupational therapy, nursing) to deliver a physical activity program to residents of an aged care facility using a novel telerehabilitation technology that enables remote prescription and monitoring of exercise programs. The main purpose of this quality assurance trial was to explore the feasibility and safety of supervised use of a novel telerehabilitation exercise system with older adults living in residential aged care. Four residents were recruited into the study and all displayed limitations in mobility, balance, strength and endurance. None had any had previous experience with computer games or interactive technologies. Resident diagnoses included multiple chronic health conditions and mild cognitive impairment. Over the six-week period, only one session was declined by a resident, providing an overall adherence rate of 98.5%. According to the resident's scores of perceived level of enjoyment, at the end of the first week the program was rated as always enjoyable by 75% of the residents. At the conclusion of the program, 100% responded as always enjoying the exercises and activities. Active sitting and standing time for residents across the program increased markedly. A novel finding from our study is that senior undergraduate students are capable of designing and delivering telerehabilitation programs to residents in aged care facilities. Whilst attention has been given to telesimulation in undergraduate preparation (where learners are off site and connected to simulated laboratory), our trial opens opportunities for a further paradigm shift towards teleplacement.
Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning
Authors: Gründner Julian  , Prokosch Hans-Ulrich  , Stürzl Michael  , Croner Roland  , Christoph Jan  , Toddenroth Dennis
Published: February 2025

Using gene markers and other patient features to predict clinical outcomes plays a vital role in enhancing clinical decision making and improving prognostic accuracy. This work uses a large set of colorectal cancer patient data to train predictive models using machine learning methods such as random forest, general linear model, and neural network for clinically relevant outcomes including disease free survival, survival, radio-chemotherapy response (RCT-R) and relapse. The most successful predictive models were created for dichotomous outcomes like relapse and RCT-R with accuracies of 0.71 and 0.70 on blinded test data respectively. The best prediction models regarding overall survival and disease-free survival had C-Index scores of 0.86 and 0.76 respectively. These models could be used in the future to aid a decision for or against chemotherapy and improve survival prognosis. We propose that future work should focus on creating reusable frameworks and infrastructure for training and delivering predictive models to physicians, so that they could be readily applied to other diseases in practice and be continuously developed integrating new data.
Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data
Authors: Qiao Zhi  , Sun Ning  , Li Xiang  , Xia Eryu  , Zhao Shiwan  , Qin Yong
Published: February 2025

Emergency room(ER) visit prediction, especially whether visit ER or not and ER visit count, is crucial for hospitals to reasonably adapt resource allocation and` for patients to know future health state. Some existing studies have explored to use machine learning methods especially kinds of general linear model to settle down the task. But, in the clinical problems, there exist complex correlation between targets and features. Generally, liner model is difficult to model complex correlation to make better prediction. Hence, in this paper, we propose to use two non-linear models to settle the problem, which are XGBoost and Recurrent Neural Network. Experimental results show both methods have better performance.
Identifying Obstacles and Research Gaps of Telemedicine Projects: Approach for a State-of-the-Art Analysis
Authors: Harst Lorenz  , Timpel Patrick  , Otto Lena  , Wollschlaeger Bastian  , Richter Peggy  , Schlieter Hannes
Published: February 2025

This paper presents an approach for an evaluation of finished telemedicine projects using qualitative methods. Telemedicine applications are said to improve the performance of health care systems. While there are countless telemedicine projects, the vast majority never makes the threshold from testing to implementation and diffusion. Projects were collected from German project databases in the area of telemedicine following systematically developed criteria. In a testing phase, ten projects were subject to a qualitative content analysis to identify limitations, need for further research, and lessons learned. Using Mayring's method of inductive category development, six categories of possible future research were derived. Thus, the proposed method is an important contribution to diffusion and translation research regarding telemedicine, as it is applicable to a systematic research of databases.
Applying the Zone of Proximal Development when Evaluating Clinical Decision Support Systems: A Case Study
Authors: Lindgren Helena  , Lu Ming-Hsin  , Hong Yeji  , Yan Chunli
Published: February 2025

The goal to facilitate a continuing medical education can be incorporated in the design of a clinical decision-support system. Developing a method for evaluating knowledge and skill development as part of evaluating the system is the aim for the research presented in this paper. The activity supported by the system was analyzed using Activity theory and structured into a protocol. Four clinicians were studied using the system for the first time, and their activity were assessed using the concept of Zone of Proximal Development. Initial results show how the system was used for clinician with different level of skills, and provide implications for further development of the methodology and the system.
Staff Training on the Use of Health Information Systems: What Do We Know?
Authors: Bygholm Ann
Published: February 2025

Staff training is acknowledged as an important activity when implementing health information systems (HISs). This paper reviews the literature on staff training in connection with HIS implementation. The aim is to identify critical issues to reflect on when planning or evaluating this type of training. Searches were conducted in three research databases, resulting in 423 hits. Sixty-four papers were retrieved for more detailed examination, and 12 papers were selected for analysis. The analysis focused on the content, organization and pedagogical approach. In general, the review revealed minor primarily descriptive studies focused on aspects of staff training rather than strategies for staff training. The review revealed specific agreed-upon issues that are considered important for the success of the training. The issues identified are transfer of knowledge and skills is not enough, ongoing training is important, training should be related to practice and address individual learning needs, and super-users are important facilitators.
Towards Unsupervised Detection of Process Models in Healthcare
Authors: Alharbi Amirah  , Bulpitt Andy  , Johnson Owen A.
Published: February 2025

Process mining techniques can play a significant role in understanding healthcare processes by supporting analysis of patient records in electronic health record systems. Healthcare processes are complex and patterns of care may vary considerably within similar cohorts of patients. Process mining often creates “spaghetti” models and require significant domain expert input to refine. Machine learning approaches such as Hidden Markov Models (HMM) may assist this refinement process. HMMs have been advocated for patient pathways clustering purposes; however these models can also be utilized for detecting hidden processes to help event abstraction. We explore use of an unsupervised method for detecting hidden healthcare sub-processes using HMMs, in particular the Viterbi algorithm. We describe an approach to enrich the event log with HMM-derived states and remodeling the healthcare processes as state transitions using a process mining tool. Our method is applied to event data for ‘Altered Mental Status’ patients that was extracted from a US hospital database (MIMIC-III). The results are promising and show a successful reduction of model complexity and detection of several hidden processes unsupervised by a domain expert.
AID-GM: An Advanced System Supporting Continuous Monitoring of T1DM Patients
Authors: Salvi Elisa  , Sacchi Lucia  , Madè Alexandra  , Calcaterra Valeria  , Bellazzi Riccardo  , Larizza Cristiana
Published: February 2025

In this paper, we present AID-GM, a web application for the analysis and summarization of continuous blood glucose monitoring data in patients with Type 1 Diabetes. AID-GM allows patients and their care providers to share data and analyze them thanks to a set of advanced and personalized intelligent data analysis tools. Such tools enable the extraction of complex multivariate temporal patterns from data. We present a preliminary evaluation of the functionalities of the tool, both on a set of healthy volunteers, and on real patients' data in the pediatric context.
Fine-Tuning Neural Patient Question Retrieval Model with Generative Adversarial Networks
Authors: Tang Guoyu  , Ni Yuan  , Wang Keqiang  , Yong Qin
Published: February 2025

The online patient question and answering (Q&A) system attracts an increasing amount of users in China. Patient will post their questions and wait for doctors' response. To avoid the lag time involved with the waiting and to reduce the workload on the doctors, a better method is to automatically retrieve the semantically equivalent question from the archive. We present a Generative Adversarial Networks (GAN) based approach to automatically retrieve patient question. We apply supervised deep learning based approaches to determine the similarity between patient questions. Then a GAN framework is used to fine-tune the pre-trained deep learning models. The experiment results show that fine-tuning by GAN can improve the performance.
Designing an Online Social Support Platform Through Co-Creation with Seniors
Authors: Rochat Jessica  , Nap Henk Herman  , Ricci Arnaud  , Cornelisse Lotte  , Lukkien Dirk  , Lovis Christian  , Ehrler Frédéric
Published: February 2025

The high number of seniors that feels excluded of society highlights the necessity to promote active ageing. This intention can be supported through online platforms that encourage participation in social activities. The goal of the present study was to identify design principles of online support platforms for seniors through focus groups and to ideate the platform through co-creation sessions. The results show that a social platform for seniors must, among other, help to foster contact between users, and must provide services and meaningful activities. A first mock-up of the platform's design has been created based on the co-creation sessions and will be iteratively evaluated and enhanced in future studies in four countries across Europe. Our findings are in line with those of other studies demonstrating that seniors attach importance to trustworthiness and need to maintain social ties.
Translating eHealth Visions from Strategy to Practice – A Benefit Management Approach
Authors: Villumsen Sidsel  , Nøhr Christian  , Faxvaag Arild
Published: February 2025

The municipalities and the Regional Health Authorities in Central Norway have been assigned a mandate to implement a shared electronic health record, Helseplattformen, reflecting the visions set out in the national eHealth white paper ‘One Citizen - One Record’. This study identifies and describe anticipated benefit streams of clinical decision support in ‘One Citizen - One Record’ and the user requirement specification documents of Helseplattformen. This study found that the benefit stream of clinical decision support translates from the health policy visions stated in ‘One Citizen - One Record’ into Helseplattformen. However, business changes, although a critical element of achieving benefits, were not emphasised in either. This calls for the programme of Helseplattformen to pay careful attention to how the information system and information technology requirements must be accompanied by enabling changes as well as business changes in order to achieve the identified benefits of ‘One Citizen - One Record’ and Helseplattformen.
Mobile-Based Applications and Functionalities for Self-Management of People Living with HIV
Authors: Mehraeen Esmaeil  , Safdari Reza  , Mohammadzadeh Niloofar  , Seyedalinaghi Seyed Ahmad  , Forootan Siavash  , Mohraz Minoo
Published: February 2025

Background: Due to the chronicity of HIV/AIDS and the increased number of people living with HIV (PLWH), these people need the innovative and practical approaches to take advantage of high-quality healthcare services. The objectives of this scoping review were to identify the mobile-based applications and functionalities for self-management of people living with HIV.
Going Mobile: An Empirical Model for Explaining Successful Information Logistics in Ward Rounds
Authors: Esdar Moritz  , Liebe Jan-David  , Babitsch Birgit  , Hübner Ursula
Published: February 2025

Background: Medical ward rounds are critical focal points of inpatient care that call for uniquely flexible solutions to provide clinical information at the bedside. While this fact is undoubted, adoption rates of mobile IT solutions remain rather low.
FHIR Healthcare Directories: Adopting Shared Interfaces to Achieve Interoperable Medical Device Data Integration
Authors: Tyndall Timothy  , Tyndall Ayami
Published: February 2025

Healthcare directories are vital for interoperability among healthcare providers, researchers and patients. Past efforts at directory services have not provided the tools to allow integration of the diverse data sources. Many are overly strict, incompatible with legacy databases, and do not provide Data Provenance. A more architecture-independent system is needed to enable secure, GDPR-compatible (8) service discovery across organizational boundaries. We review our development of a portable Data Provenance Toolkit supporting provenance within Health Information Exchange (HIE) systems. The Toolkit has been integrated with client software and successfully leveraged in clinical data integration. The Toolkit validates provenance stored in a Blockchain or Directory record and creates provenance signatures, providing standardized provenance that moves with the data. This healthcare directory suite implements discovery of healthcare data by HIE and EHR systems via FHIR. Shortcomings of past directory efforts include the ability to map complex datasets and enabling interoperability via exchange endpoint discovery. By delivering data without dictating how it is stored we improve exchange and facilitate discovery on a multi-national level through open source, fully interoperable tools. With the development of Data Provenance resources we enhance exchange and improve security and usability throughout the health data continuum.
Hydrodynamic Noise from a Propeller in Open Sea Condition
Authors: Cianferra Marta  , Petronio Andrea  , Armenio Vincenzo
Published: February 2025

In the present work a hybrid methodology is used to evaluate the hydrodynamic noise generated by a marine propeller in open sea condition. The hydrodynamic field is computed using Large Eddy simulation under the assumption of incompressible flow field; the acoustic field is reconstructed by applying the advective Ffowcs Williams and Hawkings equation. For the hydrodynamics, we use the dynamic Lagrangian model for the closure of the subgrid-scale stresses and a wall-layer model to skip the resolution of the viscous sub-layer. We consider a propeller well studied in literature for a single value of the advance ratio. A grid of about 6x106 cells is used for reproducing accurately both the stresses over the propeller and the wake, the latter responsible of quadrupole noise. The equations are solved in a fixed-to-the-body frame of reference. The different noise generation mechanisms are investigated separately. Thickness and loading terms related to the propeller shape and velocity, provide significant pressure disturbance in the near field. The quadrupole noise component is obtained by integrating over an external permeable surface. Its contribution is investigated in relation to the presence of vortex persisting in the wake.
An Alternative Approach for Assessment of the Weather Factor in EEDI Formulation Using Statistical Ranking Theory
Authors: Kishev Rumen  , Kirilova Silvia
Published: February 2025

In the IMO procedure for Energy Effectiveness Design Index (EEDI) estimation, a weather factor is being introduced to account for speed loss in real operation conditions, but its calculation is still conditional. In the paper, a balanced alternative solution of the problem is suggested, based on extensive data for speed loss of variety of ships at seas taken by logbook records, experiments or series calculations and using statistical averaging of data over operational range in a form of some generalized rank criterion which match the weather factor. The method is thoroughly validated by available full scale data.
Vertical Motions Assessment of an Offshore Supply Vessel in Concept Design Stage
Authors: Mauro Francesco  , Dell'Acqua Antonino
Published: February 2025

The main hydrodynamic characteristics of an Offshore Vessel are mostly referring to motion behaviour in rough sea. For such kind of ships, good seakeeping performances are mandatory, and, besides dynamic positioning quality, maybe more relevant than purely propulsive issues. The seakeeping performances of a ship are strongly influenced by main geometric parameters selected since concept design stage. Means that, to improve the designers' ability to properly select the best preferred design, enhanced methods should be implemented in such a way to accurately determine seakeeping performances as function of the more significant geometrical parameters and non-dimensional ratios. In the present work a procedure, based on the determination of multiple regression models with different parameter combinations, has been developed to reproduce the vertical motions transfer functions of a generic supply vessel at different encounter angles and operational speeds. The regressions have been obtained from 2D strip theory calculations on a family of supply vessels, ensuring a sufficiently accurate estimate of heave and pitch motions since concept design stage. Besides, the transfer functions have been also determined with the application of a trained neural network and the results have been compared with regressions outcomes on a reference hull.
PeWEC: Preliminary Design of a Full-Scale Plant for the Mediterranean Sea
Authors: Pozzi Nicola  , Bonetto Andrea  , Bonfanti Mauro  , Bracco Giovanni  , Dafnakis Panagiotis  , Giorcelli Ermanno  , Passione Biagio  , Sirigu Sergej A.  , Mattiazzo Giuliana
Published: February 2025

Nowadays, atmospheric pollution and climate change have encouraged Governments to invest in renewable technologies for clean energy production. Wave Power constitutes an interesting option in the panorama of renewables and starting from the first results achieved in the '70s, in the last and present decade the major efforts have been concentrated to make Wave Energy Converters (WECs) more profitable and predictable. The research activities described in this work concern the development of a pendulum converter (PeWEC: Pendulum Wave Energy Converter), designed for the Mediterranean Sea scenario. In the first part of the paper, the mathematical model describing the floater and pendulum dynamics is presented. The equations previously described are then used to implement a model-based design and optimization methodology. The latter is constituted by three different tools connected in cascade and characterized by an increasing degree of complexity and fidelity. The combination of these tools, together with the evaluation of the plant Levelized Cost of Energy (LCOE), allow to determine an optimal device configuration for the installation site chosen. The methodology is here used to design a preliminary layout of the full-scale PeWEC device, considering the Pantelleria Island (Italy) wave climate as reference.
Comparison of Marine Technologies for Mediterranean Offshore Gas Export
Authors: Trincas Giorgio
Published: February 2025

This paper aims at identifying the most viable marine technology to transport natural gas in a Mediterranean Sea scenario. Pipeline, LNG, SSLNG, and CNG solutions are put in competition. Techno-economic modelling of each technology is performed to evaluate corresponding capex and opex. To highlight which of the competitive transportation modes offers the minimum supply chain cost through a discounted cash flow model, estimations of the total cost of investment, shipping, and operation tariff were taken as primary attribute in the ranking process. Number of LNG, SSLNG and CNG ships are developed at conceptual design level and stored in databases which feed the optimal composition of fleets, also to compete with subsea pipeline projects whose main technical and cost parameters are available from different sources. Pipeline and LNG cost reductions are considered to make uniform comparison of these technologies with ready advances in CNG technology. The comparative results on the Zöhr-Brindisi route show that the CNG marine solution is economically the most advantageous transport mode provided lighter pressure vessels are fitted on CNG ships.
System for Speed/Power Trials Measurement and Analysis in Accordance with International Recommended Procedure
Authors: Becchi Paolo  , Bassetti Mirko  , Garbarino Mauro  , Cusano Giovanni
Published: February 2025

The last international recommended procedures and normatives provide detailed guidelines and formulation for the execution of speed and power sea trials and the analysis of the results. For this reason it starts to be necessary to analyze the data directly onboard as the trials are completed and define the effective contractual speed and power condition of the ship. CETENA recently improved its technical equipment for sea trials measurements, including the custom software “SPEED” aimed to be directly connected with the acquisition one and provide ship performance analysis consistent with both ITTC and ISO normative. In order to guarantee high accuracy in measurement and analysis, each instrument (torquemeter, anemometer, flowmeter, gyro, etc) has been calibrated and certified by accreditated laboratories. The analysis software “SPEED” has been certified by the rules ABS and RINA. The ship speed and power performance analysed by SPEED and thus referred to ideal condition - i.e. with no waves, no wind and prescribed load condition - can be used for verifying the Energy Efficiency Design Index (EEDI) of the ship.
Definition and Development of the Modularity Features for the Italian Navy Multirole Patrol Vessel Mission Bays
Authors: Greco Francesco  , Serpagli Simone
Published: February 2025

All NATO navies are facing the challenge of meeting current and future operational requirements while reducing procurement and life cycle cost of naval platform. To this regard, the Italian Navy (IT Navy) has adopted, over the last years, new design concepts in order to maximize operational flexibility for future needs by an extensive use of modularity features on its platforms. During 2016 through 2017, the activities performed in the NATO Mission Modularity Specialist Team, NATO Total Ship System Engineering Specialist Team and in the procurement activities for the Italian Navy Multirole Patrol Vessel project, allowed to define a collaborative multi-disciplinary team between Italian Navy and Italian companies (Fincantieri) in order to identity and develop an exploratory approach for assessing the capabilities and functionality features of newly designed mission bays. This paper aims at underlining the IT Navy innovative approach to procure more effective and affordable naval units, through a deep insight on the whole-warship design impact of Mission Bays and standardized modular areas, aiming at the maximum versatility of operational use of its military ships.
Non-Linear and Modular Planning
Authors: Slapničar Vedran  , Adum Ivan
Published: February 2025

Shipbuilding is a nonlinear and modular process. Activities in production, design, management, and finance are interlinked and interdependent. That has been, but only partially, already tackled by PERT [1] and net diagrams depicting interdependence of activities, but in the production process mainly. We deem it desirable and indispensable to introduce all activities not only during the production process but in the preparatory stage as well, i.e. design, development of drawings, class and government bodies' approvals, purchase of materials, finance i.e. cash flow. The shipbuilding process in a broader sense includes also after delivery activities which should also be part of planning and prediction process. Our response time i.e. countermeasures could and should be instantaneous. Shortening of the reaction time is the key to the success. Novum that we suggest is the definition of the whole, total, shipbuilding process as a number of interlinked and interdependent activities, activity modules.
The Wellmometer Dashboard: Enhancing Person Centred Care
Authors: Levy Sharon
Published: February 2025

A nurse led digital health project, envisaged here, is set to promote holistic assessment and increase peoples' engagement in self care. Through a focused therapeutic interaction, service users would articulate the significance of verious wellness fascets and set individualised targets. The weightage of each component will translate to algorithms that provide an overall wellness score. The visualisation of segments within a Wellmometer User Interface could motivate and promote change.
Structured Observation and Early Warning Scores in Long-Term Care
Authors: Sogstad Maren  , Tosterud Randi Beate
Published: February 2025

With increased responsibility for follow-up of patients in long-term care, the importance of accurate observations are reinforced. Here, health care professionals experience with the use of structured observations guides are studied. The results are based on five focus group interviews. The health care professionals states that the tools gives them confidence in their care delivery, it's structures their actions and enhance communication. However, the implementing require competence, training and focus over time.
Operationalising the National Nursing Informatics Position Statement
Authors: Hovenga Evelyn  , Sinnott Helen  , Gogler Janette
Published: February 2025

The need for nurses and midwives to drive the digital transformation of care has been recognised as an important factor in future health care innovation. An Australian Chief Nursing Informatics Officers collaboration is leading the way. They were supported by the three professional organisations who collaboratively developed a National Nursing Informatics position statement.
How Health Information Tools Help Nursing: International Perspectives from Five Countries
Authors: Honey Michelle  , Cummings Elizabeth  , de Fatima Barbosa Sayonara  , Lee Joy  , Skiba Diane J.
Published: February 2025

This presentation will be in a workshop format with a panel of presenters representing five countries. All speakers will address the question of how are health information tools helping the profession of nursing, thereby giving an international perspective, before inviting the audience to discuss and share their views.
Point of Care Solutions for Electronic Documentation of Nursing Practice
Authors: Saba Virginia  , Whittenburg Luann  , Saranto Kaija  , Dan Roberts William
Published: February 2025

The panel focuses on Point-of-Care (POC) solutions for the documentation of nursing practice in electronic health record (EHR) and/or healthcare information technology (HIT) systems using the Clinical Care Classification (CCC) System. The CCC System was developed by Dr. Saba and Colleagues for the electronic documentation of patient care by nurses and allied health professionals and has been approved by American Nurses Association and U.S. Department of Health and Human Services as an interoperable, standardized nursing terminology The unique POC solutions will be described by different nursing informaticians, designers, and implementers who will describe how they document patient care using the CCC System and their impact on care outcomes. Also the Nursing Informatics (NI) Experts will discuss the effects of POC solutions on care quality and safety, as well as highlight how the data analytics are used to measure and predict workload, staffing, and cost. They will also describe how the information is used to support evidence-based practice and advance nursing knowledge.
Use the Bar Code System to Improve Accuracy of the Patient and Sample Identification
Authors: Chuang Shu-Hsia  , Yeh Huy-Pzu  , Chi Kun-Hung  , Ku Hsueh-Chen
Published: February 2025

In time and correct sample collection were highly related to patient's safety. The sample error rate was 11.1%, because misbranded patient information and wrong sample containers during January to April, 2016. We developed a barcode system of “Specimens Identify System” through process of reengineering of TRM, used bar code scanners, add sample container instructions, and mobile APP. Conclusion, the bar code systems improved the patient safety and created green environment.
ICNP
Authors: Østensen Elisabeth  , Bragstad Line K.  , Hardiker Nicholas R.  , Hellesø Ragnhild
Published: February 2025

The International Classification for Nursing Practice (ICNP®) terminology was in 2016 implemented in three Norwegian municipalities through the introduction of five standardized care plans in the Electronic Patient Record (EPR) system. This poster provides results from an exploratory, qualitative study, investigating how nurses in these municipalities applied the care plans into their daily informational work.
Criteria-Based Evaluation of Human–Computer Interfaces Used for Entering Narrative Nursing Notes in Six Electronic Medical Record Systems
Authors: Cho Insook  , Kim Eunman
Published: February 2025

This study investigated the human–computer interfaces used for entering narrative nursing notes in the electronic medical record systems at six Korean hospitals. Using a criteria-based evaluation tool consisting of 17 elements revealed scores of 3.5–6.5. This implies that many criteria were not fulfilled and that considerable improvement is needed.
Predicting Long-Term Mortality with Biomarkers Level for Homecare Patients
Authors: Chen Ying-Ju  , Tsou Meng-Ting  , Hung Chung-Lieh  , Chang Wen-Ling  , Liao Pei-Hung
Published: February 2025

Electronic health record (EHR) systems have been used widely in research. However, most of the EHRs are highly dimensional and it is challenging to analyze such large data set. Bioinformatics is an interdisciplinary science with a focus on data management and interpretation for complex biological phenomena. We investigated biomarkers of nutrition from 3001 patients. Multivariate-adjusted hazard ratios of mortality were calculated according to both albumin and sodium levels. We explore the association of aging predicted by all-cause mortality in future.
Health Portals for Specific Populations: A Design for Pregnant Women
Authors: Sommer Janine  , Daus Mariana  , Simon Mariana  , Luna Daniel
Published: February 2025

The technologies and communication advances, contributed to new tools development who allows patient to have an active role in their own health. In the light of paradigms changes and information needs about health, the patient self-manage their care. This line of care focuses in patient, specific portals come up to people with particular requirements like pregnant womens. Thinking in a portal design to this sector of the population, in September 2016 a survey was made to users with the objective to knowing and understanding information needs at the moment to use a pregnant's app . Also, prototypes of the portal's features was designed to try and validate with users, using the human-centered design methodology. Investigations have made possible the identification of this population's needs and develop a tool who try to satisfy, providing timely information for each part of pregnancy and allowing the patients to make a physical check and to follow up pregnancy seeking advices from our obstetricians.
Undergraduate Student Nurses' Use of Information and Communication Technology in Their Education
Authors: Honey Michelle
Published: February 2025

Students expect to use technology in their study just as they use technology in other aspects of their life. Technology is embedded in the day-to-day work of nursing, and therefore needs to be integrated in education to prepare students to assume professional roles and develop skills for lifelong learning. A quantitative descriptive study, using an anonymous survey, explored how undergraduate student nurses from one New Zealand school of nursing, access information and communication technologies for their learning. In total 226 completed questionnaires were returned (75%). Nearly all students (96%) have smart phones, all students have a computer and 99% use the university learning management system daily or several times a week. The search engine most commonly used to find information for assignments was Google Scholar (91%), with only 78% using subject specific academic databases. Implications from this study include the need for charging stations and further education on information searching.
Development of Teaching Materials of Dementia by Incorporating a Communications Robot for Schoolchildren Who Are Dementia Supporters
Authors: Murashima Kotoka  , Majima Yukie  , Masuda Seiko  , Nakamura Yumiko  , Fukayama Kaori
Published: February 2025

In this study, we aimed to teach elementary school students how to practically deal with elderly people with dementia and developed and evaluated teaching materials using a communication robot called Pepper. The teaching material used the robot to model representative symptoms seen in elderly people with dementia in a realistic context. We applied the two principles of Merrill's first principle and the ARCS model to achieve learning objectives and sustain learning motivation. Furthermore, to verify the effectiveness of the teaching materials, we conducted a questionnaire survey on five experts in community welfare. As a result, it was speculated that by using Pepper, motivation for learning increases and learning can be effectively accomplished. In the future, we aim to introduce the function to the teaching materials based on the evaluation and introduce it to kids' dementia supporter training course.
Development and Evaluation of an Online Training System for Home Caregivers
Authors: Guanxiu Tang  , Hang Yin  , Shuping Yang  , Meili Xiao  , Pingping Yan  , Wei Liu  , Wanli Lin  , Jun Lei
Published: February 2025

With the increasing demands of professional rehabilitation training for home caregivers, to develop a mode of training with widespread applicability has been emphasized. In order to improve life quality of the impaired elderly, we developed an online training system for the home caregivers to learn knowledge and skills for caring the elderly. We also assessed the acceptance and acceptance factors of the online training system. The results showed that our training system was well accepted by the participants. The perceived usefulness and perceived ease of use were the dominant factors influencing the acceptance of the online course. Therefore, quality management and easy to use, rapid to capture the system are essential for the users to accept the training courses or health information better. An online training system with professional and standard protocols may be popular and well accepted for home caregivers.
Developing Mobile Support System for Augmented Reality in Clinical Constraint Teaching
Authors: Weng Wei Kai  , Hsu Han Jen
Published: February 2025

It's always been a big topic how to improve the efficiency of education. Reply teaching and image teaching had always performed better than text book. Furthermore, adapting AR technology will be a great add-on to reinforce it. That's the main purpose of this project.
Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE)
Authors: Wulff Antje  , Marschollek Michael
Published: February 2025

Background: The vast amount of data generated in healthcare can be reused to support decision-making by developing clinical decision-support systems. Since evidence is lacking in Pediatrics, it seems to be beneficial to design future systems towards the vision of generating evidence through cross-institutional data analysis and continuous learning cycles.
Knowledge Management for Brazilian Cancer Care Services
Authors: Gonçalves Antônio Augusto  , de Castro Silva Sandro Luís Freire  , Martins Carlos Henrique Fernandes  , Cheng Cezar  , Barbosa José Geraldo Pereira  , de Oliveira Saulo Barbará
Published: February 2025

Nowadays Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year in Brazil, and the huge majority of patients have some contact with hospital services. However, long waiting queues for diagnostics and treatments have become common. One of the critical success factors in a cancer treatment is early diagnosis. The reduction of waiting time to start therapeutic procedures is one of the main issues for improvement of patient's quality of life and possibilities of cure. The objective of this work is to describe the development of a decision support system that improves the identification of access alternatives, appointment scheduling and employment of available resources. The Theory of Constraints was used to identify bottlenecks in patient treatment flow and a Discrete Events Simulation model was used to reduce patients' waiting time to start cancer treatment.
Health Analytics Types, Functions and Levels: A Review of Literature
Authors: Khalifa Mohamed
Published: February 2025

Health analytics is a business-driven term that encompasses a wide spectrum of aspects and dimensions of business intelligence applications and big data analysis. Healthcare organizations recently are eager to know whether they are getting the full value from the massive amounts of data and information they already have, to achieve their strategic effectiveness goals and operational efficiency objectives. It is very crucial to learn more about the diverse functions, types and levels through which health analytics can support such tasks. A careful review of literature was conducted, and a qualitative analysis was used to classify health analytics. Five main types of analytics could be identified; these are descriptive, diagnostic, predictive, prescriptive and discovery analytics, each has its own distinct role in improving healthcare. In addition to the five types, health analytics could also be classified into three levels of performance and engagement, these are the operational, tactical and strategic health analytics.
Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses
Authors: Lupşe Oana-Sorina  , Stoicu-Tivadar Lăcrămioara
Published: February 2025

The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate and complex information processing when accessing drug information. Our work builds on improvement of accessing drug information for a better treatment through homogenization of sections in a prospectus. The sections names in a prospectus may be different for one source to another, and in this article, we propose a method to homogenize the content of all drug prospectuses. Once a correct homogenization of the sections has been established, the prospectuses can be used in clinical decision applications to provide the necessary data for physicians. Classification of the section names is using the Cousine similarity method and the Scikit-learn machine learning software. The best results were obtained with the Scikit-learn software.
Financial Management and Spatial Geomapping of Medical Equipment: The Case of Ultrasound Scan and Respirators
Authors: Zarakovitis Dimitrios  , Tsoromokos Dimitrios  , Tsaloukidis Nikolaos  , Lazakidou Athina
Published: February 2025

The proposed application is based on Geographic Information Systems (GIS) and it's used for medical devices spatial mapping. The application aims at improving the efficiency of hospital units. By using appropriate software, digital maps are created. The technical and financial data of the respirators and ultrasound systems are displayed on the maps. The respirators are installed in the Intensive Care Units (ICU) of public hospitals in Peloponnese. The ultrasound scan systems are also installed in the Radiology Departments of the same units. The user is enabled to create interactive maps and visualize a large amount of real-time information. The overarching aim is to develop an integrated surveillance system of medical equipment. This process will promote the loss-making machinery replacement. Furthermore, the efficient management of revenue and expenditure operations of hospital units will be promoted. The reliable decision-making by the Ministry of Health or the Health and Social Welfare Departments will also be enhanced.
IT Infrastructure for Registries in Health Services Research: A Market Study in Germany
Authors: Stausberg Jürgen  , Harkener Sonja  , Siddiqui Roman  , Semler Sebastian Claudius
Published: February 2025

Registries are increasingly implemented to record the practice of health care. Within a national funding scheme for registries, an accompanying project was launched to support the design of the registries' IT infrastructure amongst other tasks for 16 projects. A challenge of data management systems was organized by the accompanying project in order to enable the projects to define realistic expectations towards IT support in their research protocols. Twelve vendors participated in the challenge. They presented their solutions for selected use cases. In advance, the projects considered a sufficient authorization concept and the possibility to export data to be of highest importance. However, the systems covered mainly core processes of electronic data capture. The accompanying project will continue its support for the next stage of the funding scheme, which will be the implementation of the registries that win a competitive review of their research protocols prepared in the concept development stage.
Human Based Digital Intelligence Analyses for Health Care Ecosystems
Authors: Grasser Michael Georg  , Schlaipfer Viktoria  , Priedl Robert  , Sorantin Erich
Published: February 2025

The maturity level of the digital transformation in health care ecosystems is heavily depending on human factors. Primarily the digital intelligence of the human beings – e.g. medical or nursing staff - should be taken seriously in the transformation processes. To derive sustainable strategies in a holistic manner an innovative, multi-dimensionaland human centred socio-economic capability model had to be developed and applied. By the use of our model health care ecosystems can be analysed, scored and benchmarked successfully. Furthermore, each ecosystems' digital intelligence based on their employees can be derived holistically from our four scoring scopes.
The Effect of Electronic Medication Administration Records on the Culture of Patient Safety: A Literature Review
Authors: Alanazi Abdullah  , Alomar Munirah  , Aldosari Hanan  , Shahrani Awad  , Aldosari Bakheet
Published: February 2025

Medication errorsare a leading cause of deathacross many parts of the world. Several factors increase medication errors. These can be individual-related factors, such as the burden ofa heavy workload, often experiencedby nurses, or organizational-related factors, such as inadequate space for documenting and poor labeling of medication. This paper shares the results of a preliminary literaturereview on the impacts of electronic medication administration records (eMAR) on patient safety. UsingPubMed and Google Scholar, we searchedthe following terms: “eMAR”, “medication errors”, and “workflow”. Our preliminary findings revealthat eMAR can have impacton nursing workflow, and reducemedication errors, thus improving patient safety. Although the results are preliminary, they provide some insight into the impacts of eMAR on nursing workflow and patient safety. Our plans for future researchare to conduct a systematic review study to further examine the impacts of eMAR on patient safety.
Understanding the Roles of EMR Systems in Japanese Antenatal Care Settings
Authors: Helou Samar  , Yamamoto Goshiro  , Kondoh Eiji  , Tamura Hiroshi  , Hiragi Shusuke  , Sugiyama Osamu  , Okamoto Kazuya  , Nambu Masayuki  , Kuroda Tomohiro
Published: February 2025

Electronic Medical Records (EMR)s are intrinsic to modern-day clinics. Understanding the roles, i.e., the unintended functions of EMR systems in their context of use can guide the design of EMR systems and clinics to better integrate them. To understand the roles of EMR systems in antenatal care check-ups, we conducted a field-based observational study at an antenatal care clinic in a Japanese university hospital. We observed 37 antenatal care check-ups where we looked at how the EMR system affects the communication between the involved parties and supports or hinders the clinical process. Our data analysis resulted in 10 EMR roles, namely: the wingman, the third wheel, the accomplice, the bouncer, the messenger, the summarizer, the bureaucrat, the assistant, the gossip, and the alien. Through the roles, this study reveals multiple EMR design considerations and opportunities for improving both the human-EMR and human interactions in antenatal care settings.