bluuebunny/crossref_metadata_2025 huggingface dataset:
Unsupervised Information Extraction from Behaviour Change Literature
Authors: Ganguly Debasis  , Deleris Léa A.  , Mac Aonghusa Pol  , Wright Alison J.  , Finnerty Ailbhe N.  , Norris Emma  , Marques Marta M.  , Michie Susan
Published: February 2025

This paper describes our approach to construct a scalable system for unsupervised information extraction from the behaviour change intervention literature. Due to the many different types of attribute to be extracted, we adopt a passage retrieval based framework that provides the most likely value for an attribute. Our proposed method is capable of addressing variable length passage sizes and different validation criteria for the extracted values corresponding to each attribute to be found. We evaluate our approach by constructing a manually annotated ground-truth from a set of 50 research papers with reported studies on smoking cessation.
A Mobile Early Stimulation Program to Support Children with Developmental Delays in Brazil
Authors: Dias Raquel da Luz  , Silva Kátia Cristina Correa Guimarães  , Lima Marcela Raquel de Oliveira  , Alves João Guilherme Bezerra  , Abidi Syed Sibte Raza
Published: February 2025

Developmental delay is a deviation development from the normative milestones during the childhood and it may be caused by neurological disorders. Early stimulation is a standardized and simple technique to treat developmental delays in children (aged 0-3 years), allowing them to reach the best development possible and to mitigate neuropsychomotor sequelae. However, the outcomes of the treatment depending on the involvement of the family, to continue the activities at home on a daily basis. To empower and educate parents of children with neurodevelopmental delays to administer standardized early stimulation programs at home, we developed a mobile early stimulation program that provides timely and evidence-based clinical decision support to health professionals and a personalized guidance to parents about how to administer early stimulation to their child at home.
Implementing Modular Research Consents Using IHE Advanced Patient Privacy Consents
Authors: Schreiweis Bjoern  , Bronsch Tobias  , Merzweiler Angela  , Bergh Bjoern
Published: February 2025

The re-use of healthcare information for biomedical research is increasing and with it the importance of a consent management framework implementing computable consents. Based on requirements concerning a consent representation the Advanced Patient Privacy Consents (APPC) Profile of Integrating the Healthcare Enterprise (IHE) is evaluated and mapped to these requirements. As IHE APPC was developed for computable patient consents, the mapping of consents for research projects is possible by re-using the elements defined. Compared to other approaches like gICS, approaches using APPC can be based on commercial software products and integrated into IHE environments. IHE APPC was already successfully used in EHR projects like INFOPAT. For interoperability reasons IT platforms intending to support biomedical research including clinical data, research data, biomaterial and imaging data, IHE APPC seems to be an appropriate standard to choose.
Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base
Authors: Lustberg Tim  , van Soest Johan  , Fick Peter  , Fijten Rianne  , Hendriks Tim  , Puts Sander  , Dekker Andre
Published: February 2025

Performing image feature extraction in radiation oncology is often dependent on the organ and tumor delineations provided by clinical staff. These delineation names are free text DICOM metadata fields resulting in undefined information, which requires effort to use in large-scale image feature extraction efforts. In this work we present a scale-able solution to overcome these naming convention challenges with a REST service using Semantic Web technology to convert this information to linked data. As a proof of concept an open source software is used to compute radiation oncology image features. The results of this work can be found in a public Bitbucket repository.
Clinical Knowledge Governance Framework for Nationwide Data Infrastructure Projects
Authors: Wulff Antje  , Haarbrandt Birger  , Marschollek Michael
Published: February 2025

Background: The availability of semantically-enriched and interoperable clinical information models is crucial for reusing once collected data across institutions like aspired in the German HiGHmed project. Funded by the Federal Ministry of Education and Research, this nationwide data infrastructure project adopts the openEHR approach for semantic modelling. Here, strong governance is required to define high-quality and reusable models.
Feasibility and Design of an Electronic Surgical Safety Checklist in a Teaching Hospital: A User-Based Approach
Authors: Kiefel Karin  , Donsa Klaus  , Tiefenbacher Peter  , Mischak Robert  , Brunner Gernot  , Sendlhofer Gerald  , Pieber Thomas
Published: February 2025

Background: The Surgical Safety Checklist (SSC) is routinely used in operating rooms (OR) but its acceptance is low. One promising way to improve acceptance of the SSC and thus quality of patient care is digitalization.
Using MEESTAR to Identify Ethical and Social Issues Implementing a Digital Patient-Centered Care Platform
Authors: Wutzkowsky Johannes  , Böckmann Britta
Published: February 2025

The PIQ research project (“Pflege im Quartier”) aims for optimizing communication and patient-centered care for elderly people by implementing a digital, patient-centered care platform, with particular attention is paid to the consideration of ethical, legal and social issues. In this work, an instrument for the ethical evaluation of social-technical arrangement was used to map features of the platform with ethical concerns. The results include precise ethical questions based on scenarios identified and possible solutions to address them, regarding the ethical and privacy issues. These insights will be continuously integrated in the future system design and implementation as well as research.
Hospital CEOs Need Health IT Knowledge and Trust in CIOs: Insights from a Qualitative Study
Authors: Thye Johannes  , Hübner Ursula  , Weiß Jan-Patrick  , Teuteberg Frank  , Hüsers Jens  , Liebe Jan-David  , Babitsch Birgit
Published: February 2025

Background: IT is getting an increasing importance in hospitals. In this context, major IT decisions are often made by CEOs who are not necessarily IT experts.
Calibration and Electrical Validation of a BIS Portable System
Authors: Alves José  , Sousa Filipe  , Correia Miguel V.
Published: February 2025

Heart failure (HF) affects at least 26 million people worldwide and is considered a global pandemic. Almost 1 out of 4 hospitalised patients are re-hospitalised for HF within the 30-day post-discharge period. This can be avoided if changes to the hemodynamics of the HF patient's body are early detected. Bioimpedance Spectroscopy (BIS) is a method that allows the measurement and analysis of multi-frequency body complex impedance and can be used to detect changes to the HF patient's hemodynamics. This paper presents the calibration and validation process of a low-cost portable BIS system, as well as, the study of the best Cole parameter estimation methods. The BIS system was calibrated using a three reference circuit method and a Resistance-Capacitance-Inductance (RCL) meter as calibration system. After calibration, BIS impedance measurements of validation circuits presented an average phase error of 0.76 degrees and an average magnitude relative error of 0.6% when compared with standard values. Regarding Cole parameters estimation, using the Impedance model and the Non-Linear Least Squares method for curve fitting, the relative errors were below 4% when compared with the expected values.
Inspiring Older People to Eat Healthily
Authors: Fuglerud Kristin Skeide  , Leister Wolfgang  , Bai Aleksander  , Farsjø Caroline  , Moen Anne
Published: February 2025

The APPETITT project set out to contribute to well-being by inspiration to healthy eating. We wanted to create an attractive, accessible, and easy to use tablet application that could support older people at risk of malnutrition. In our approach, home-dwelling older adults are inspired to organise their meals. The app presents pictures of inspiring common dishes and quality-ensured information about nutrition, gives adequate feedback to the users, and thus, contributes to create awareness to prevent malnutrition among older people. Wereport from experiences from the design and testing of this app.
Past, Present and Future in Ship Design
Authors: Perez Fernandez Rodrigo
Published: February 2025

The shipbuilding industry has varied widely throughout history. This paper traces the history of ship design since Roman times, when ship designers began to use curves for drawing frames, through the Venetian techniques (XIII-XVI centuries) reusing templates, to the most modern methods for ship design with CAD/CAM Systems. Throughout the first half of the XX century, ships were getting bigger; so it was necessary to work on larger scales. The templates allowed working on different scales, such as widely used 1:10 scale. But with growing ship size, the moment came it was no longer practical to use templates. This happened at a time when the first computers came to our industry, promoting the development of ship design CAD tools. The new CAD Systems offer a comprehensive process for the design and construction of ships, offshore platforms and submarines, with the help of computers. There are many advantages of using CAD in shipbuilding: ease of design, speed of construction, use and reuse of information, etc. It is expected that in the future CAD tools will advance further and allow greater information management and virtual access through smart devices. In general, CAD Systems provide tangible benefits while the process is optimized, reducing design time and production, and therefore costs.
Extensive Cavitation Tunnel Acoustic Characterization of Controllable Pitch Propellers
Authors: Miglianti Fabiana  , Tani Giorgio  , Viviani Michele  , Bertetta Daniele  , Vaccaro Cristina
Published: February 2025

Experimental tests in model-scale are the currently established (and more reliable) methods for the propeller acoustic characterization. However, they are affected by uncertainties mostly due to scale effects, which make it difficult to consistently reproduce in model-scale some of full-scale functioning conditions. In order to cope with this issue, it is interesting to define empirical formulations to shape the most significant cavitating phenomena in terms of underwater radiated noise spectrum. A suitable approach for the determination of such formulations may consist in the experimental characterization of model propellers collecting a large amount of data such to accurately describe propeller functioning conditions and related noise emissions. Collected data should be then analysed to extrapolate desired formulations exploiting advanced data analysis techniques. In the present work the acoustical characterization of two propellers, performed at the University of Genoa cavitation tunnel, is presented. The collected sample includes cavitation buckets with inception points of different phenomena, noise spectra, pressure pulses and photos picked up at various pitches and functioning points, including off design conditions.
A New Approach for Human Factor Integration into Ship Design Process
Authors: Bongermino Costantino  , Gualeni Paola  , Bracco Fabrizio  , Masini Michele  , Piccinno Tommaso
Published: February 2025

Ship safety and operations are driving issues of ship design and it is well recognized that such performances are strongly related to Human Factor (HF). In the paper a methodology to integrate HF into the ship design process since an early stage is envisaged, with the aim to improve the overall ship resilience when dealing with uncertainty of performance implied by HF element. The System-Theoretic Accident Model Process (STAMP, Leveson 2003) is investigated as a suitable methodology able to provide a significant asset in such perspective. The approach is widely applied in many industrial and transportation fields but in order to better understand its application into the marine context, a specific application will be briefly commented. In the attempt to define a comprehensive procedure, as a preliminary overview, some selected models suitable to classify the human behavior will be considered with specific focus on the reasons for performance degrade and/or uncertainty.
Design of an Information System for Palliative Care: User Analysis
Authors: Alvarez-Tobón Veronica A.  , Luna-Gómez Ivan F.  , Torres-Silva Ever A.  , Florez-Arango Jose F.  , Rivera-Mejia Paula T.  , Higuita Usuga Andrea
Published: February 2025

Objective: To explore the demographic factors and the level of knowledge related to information and communication technologies of potential users of a palliative care information system.
The Use of Information Technology to Enhance Patient Safety and Nursing Efficiency
Authors: Ying Lee Tso
Published: February 2025

The aim of this study was to determine how a nursing information system improves patient safety and nursing care quality in a hospital in Taiwan. Nurses and patients were surveyed by questionnaire and data retrieval before and after the implementation of NIS. Physiologic values were easier to read and interpret; less time to complete electronic records; reduction of errors in drug administration, blood drawing and transportation of specimens with bar codes; improvement in satisfaction with electronic shift handover; reduction in nursing turnover; patient satisfaction improved.
Supporting Nursing Informatics in Practice – Lessons Learned by Nursing Informatics Pioneers
Authors: Peltonen Laura-Maria  , Sensmeier Joyce  , Saranto Kaija  , Newbold Susan K.  , Ramírez Claudine
Published: February 2025

The advancement of Nursing Informatics (NI) in practice differs between regions and there is a need to support the advancement of NI all over the world. Exemplifying means that have been successful in supporting NI in practice could be used to guide the development of NI in other places as well. To address this need, the IMIA-NI SIG Student and Emerging Professionals (SEP) group proposes a panel of pioneers in the field to discuss means of how to support NI in practice throughout the continuum - from places where the field is just emerging to those where NI today is more advanced. The discussion will cover issues such as NI roles, requirements, competencies and education. Discussed ideas will be collected and reported in the future.
Nursing Informatics Training in Undergraduate Nursing Programs in Peru
Authors: Condor Daniel F.  , Sanchez Alvarez Katherine  , Bidman Austin A.
Published: February 2025

Nursing informatics training has been progressively developing as a field in Latin America, each country with diverse approaches to its implementation. In Peru, this process has not yet taken place, so it is necessary to determine how universities are performing in this regard. We conducted a search to describe if universities provide training in computer nursing or similar. There are 72 universities offering professional nursing training, with only 24% of these providing any specific course in nursing informatics. Training undergraduates in nursing informatics improves the skillset of licensed nurses.
An Exemplar Dashboard for the Assessment of Home Health Comorbidities
Authors: Zikos Dimitrios  , Delellis Nailya
Published: February 2025

Comorbidities are multiple co-occurring disorders associated with a primary diagnosis and affect health outcomes and cost of care. Using home health medical claims data, a comorbidity database with frequent item-sets, and an exemplar dashboard were created. The dashboard extends the decision making capacity of clinicians by providing data-driven information about (i) the frequency of comorbidities for any primary diagnosis, and (ii) primary diagnoses sufficiently exclusive to a given comorbidity. Regression models estimate total charges, for any underlying patient comorbidity profile. Using the exemplar dashboard, a panel of healthcare researchers recommended appropriate system parameters to adjust system sensitivity and improve construct validity. The comorbidity database will be useful in future research efforts to study comorbidity, while the exemplar dashboard can provide the foundation for integrated home healthcare decision support systems.
Striving for Use Case Specific Optimization of Data Quality Assessment for Health Data
Authors: Tute Erik
Published: February 2025

Data quality (DQ) assessment is advisable before (re)using datasets. Besides supporting DQ-assessment, DQ-tools can indicate data integration issues. The objective of this contribution is to put up for discussion the identified current state of scientific knowledge in DQ-assessment for health data and the planned work resulting from that state of knowledge. The state of scientific knowledge bases on a continuous literature survey and tracking of related working groups' activities. 95 full text publications constitute the considered state of scientific knowledge of which a representative selection of six DQ-tools and -frameworks is presented. The delineated future work explores multi-institutional machine learning on the DQ-measurement results of an interoperable DQ-tool, with the goal to optimize DQ-measurement method combinations and reference values for DQ-issue recognition.
Intensive Care Decision Making: Using Prognostic Models for Resource Allocation
Authors: Atashi Alireza  , Sarbaz Masoumeh  , Marashi Sina  , Hajialiasgari Fatemeh  , Eslami Saeid
Published: February 2025

Accurate outcome prediction by the means of available clinical contributing factors will support researchers and administrators in realistic planning, workload determination, resource optimization, and evidence-based quality control process. This study is aimed to evaluate APACHE II and SAPS II prediction models in an Iranian population. A a prospective cross-sectional study was conducted in four tertiary care referral centers located in the top two most populated cities in Iran, from August 2013 to August 2015. The Brier score, Area under the Receiver Operating Characteristics Curve (AUC), and Hosmer-Lemeshow (H-L) goodness-of-fit test were employed to quantify models' performance. A total of 1799 patients (58.5% males and 41.5% females) were included for further score calculation. The overall observed mortality (24.4%) was more than international rates due to APACHE II categories. The Brier score for APACHE II and SAPS II were 0.17 and 0.196, respectively. Both scoring systems were associated with acceptable AUCs (APACHE II = 0.745 and SAPS II = 0.751). However, none of prediction models were fitted to dataset (H-L ρ value < 0.01). With regards to poor performance measures of APACHE II and SAPS II in this study, finding recalibrated version of current prediction models is considered as an obligatory research question before applying it as a clinical prioritization or quality control instrument.
Lack of Patient Data Privacy Challenges Patient Safety
Authors: Saranto Kaija  , Kivekäs Eija  , Kinnunen Ulla-Mari  , Palojoki Sari
Published: February 2025

Patient data privacy is emphasized due to increase in electronic health data processing. This paper highlights the importance of data privacy in healthcare and its connection to the European Union's (EU) General Data Protection Regulation, which aims to protect all EU citizens from privacy and data violations. The clinical environment is prone to hazards in information management, especially in care coordination, the management of patient data, and verbal communication. The Swiss cheese model was used to discuss the importance of patient data privacy based on statistics from a national patient safety incident registry. Patient identification proved an important factor leading to hazards that can cause severe harm to patients.
Adoption of ICT by Elderly with Hip Fracture After a Fall
Authors: Zacharopoulou Georgia  , Zacharopoulou Vassiliki  , Dermatis Zacharias  , Lazakidou Athina
Published: February 2025

The purpose of this study is to investigate the adoption of Information and Communication Technologies (ICTs) of elderly with hip fracture after a fall. Demographic and clinical data using a general questionnaire were obtained from 67 elderly patients with a hip fracture after fall and compared with 67 gender-age matched elderly healthy controls regarding their knowledge and use of ICT-based devices. Univariate and multivariate analyses were conducted at p=0.05. 25.4% of the patients vs 10.5% of the controls uses ICT-based devices (p=0.024). Among patients, the demographic factors significantly associated with the use of ICT-based devices included area of residence, educational level and financial status (p<0.001 to p=0.045). In conclusion, based on a small sample, it seems that the adoption of ICT by the elderly vulnerable populations is limited.
Developing a Policy and Procedure Framework and Manual for a National Comprehensive Implantable Medical Device Registry in Saudi Arabia
Authors: Househ Mowafa  , Alshagathrh Fahad  , Khalifa Mohammad  , Al-Surimi Khaled  , Moll Simon  , Alsaab Yassir  , Alanazi Abdulrahman  , Alhamad Abdulmajeed  , Baig Mansoor Ali  , Afzal Jawad
Published: February 2025

Policy and procedure manuals provide guidance on the operation and governance of medical device registries. In Saudi Arabia, the Saudi Food and Drug Authority (SFDA) has been developing and implementing a comprehensive national registry for implantable medical devices to facilitate the monitoring of device outcomes through post-market surveillance studies. To help guide the operations of this registry, the SFDA developed a policy and procedure manual. This paper reports on the design of the framework used to develop that manual over the course of one year (2015–2016), using a variety of literature sources, and working with medical device registry and health systems experts. The policy and procedure manual included five key principal level categories, which led to the subsequent creation of seven policies and 28 relevant procedures. The five principal categories were: Staff Engagement, Information Governance, Quality and Auditing, Research, and Reporting. The results of this work could be used to guide the development of policies and procedures for other implantable medical device registries.
Separating Risk Assessment from Risk Management Poses Legal and Ethical Problems in Person-Centred Care
Authors: Kaltoft Mette Kjer  , Nielsen Jesper Bo  , Dowie Jack
Published: February 2025

Accelerating progress in screening technologies, e.g. genetic testing, means more individuals are facing the stressful decision of whether to request the test. Fully-informed and preference-based consent, as well as ethical practice, requires the full range of benefits and harms from any test or treatment to be identified and assessed from the individual's point of view. For both ethical and legal reasons, we see the decision on whether to undertake a genetic screening test being increasingly seen, in future, as calling for a personalised analysis of the full range of subsequent management options. The conventional dissociation of ‘risk assessment’ and ‘risk management’ phases is thereby ruled out. One way of addressing the resulting challenge is through personalised multi-criterial decision support tools. In this vision paper we provide conceptual proof of method of how such an interactive online tool could function. The polygenetic genetic screening decision is used, solely as illustration.
Patients' Perception of Privacy of Personal Data, Shared in Online Communities: Are We in the Presence of a Paradox?
Authors: Lamas Eugenia  , Coquedano Carla  , Bousquet Cedric  , Ferrer Marcela  , Chekroun Michael  , Zorrilla Sergio  , Salinas Rodrigo
Published: February 2025

Virtual online communities help people in coping with complex health issues, such as those present in patients suffering chronic diseases. Further research is required in order to clarify the impact of sharing of personal experiences on the perception of privacy and confidentiality by patients. We studied the case of Carenity an online social network created in France in 2011 bringing together 300,000 patients across Europe, and selected patients suffering Multiple Sclerosis. We conducted an exploratory-descriptive survey, and 253 patients completed an online questionnaire. Most participants did not consider that their privacy was threatened when sharing their personal experiences and data associated with their health condition. As common sense prevents one to share information to strangers to ensure privacy, such paradox may be explained by new strategies to face challenges imposed by chronic conditions disease, where sharing personal experiences may be considered as a complementary source of social support by patients.
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models
Authors: Jauk Stefanie  , Kramer Diether  , Schulz Stefan  , Leodolter Werner
Published: February 2025

The use of electronic health records for risk prediction models requires a sufficient quality of input data to ensure patient safety. The aim of our study was to evaluate the influence of incorrect administrative diabetes coding on the performance of a risk prediction model for delirium, as diabetes is known to be one of the most relevant variables for delirium prediction. We used four data sets varying in their correctness and completeness of diabetes coding as input for different machine learning algorithms. Although there was a higher prevalence of diabetes in delirium patients, the model performance parameters did not vary between the data sets. Hence, there was no significant impact of incorrect diabetes coding on the performance for our model predicting delirium.
Evaluation of a Telemedicine Service Run with a Patient-Centred Care Model
Authors: Smaradottir Berglind  , Fensli Rune
Published: February 2025

The number of patients with chronic conditions and multi-morbidities is increasing, addressing a need for patient-centred care. The research project Patients and Professionals in Productive Teams aims to study patient-centred teamwork for this patient group. This paper presents an evaluation of a telemedicine service for chronic obstructive pulmonary disease patientsrun with a patient-centred care model. Observations and interviews were made to study the technology use and information flow. The results showed that the technology worked well in a patient-centred care perspective, even though the system was a standalone system for telemedicine services. The information in the system was only available for professionals providing the telemedicine services and was not shared with other health care providers.
Exergames for Parkinson's Disease Patients: How Participatory Design Led to Technology Adaptation
Authors: Savvidis Theodore P.  , Konstantinidis Evdokimos I.  , Dias Sofia B.  , Diniz José A.  , Hadjileontiadis Leontios J.  , Bamidis Panagiotis D.
Published: February 2025

Parkinson's disease (PD) is a neurodegenerative disorder that affects more than 10 million people worldwide. Assistive technology and exergames come to play a beneficial role in positive mood and socialization improvement, overall quality of life and improved confidence with everyday functional activities. More and more Exergames inserts in the market but how many of that are fitting the patient's needs? How many of that took into consideration theirs's opinion. This study describes the Minimum Viable Product (MVP) model “Develop-measure-learn” circle in a co-creation way with the PD patients to develop and improve Exergames for them, and the tools that are needed to accomplish. The most important outcome of this procedure was the proposed development of more realistic games, giving the researchers the step of starting the investigation of 3D solutions.
Conceptual Design and Iterative Development of a mHealth App by Clinicians, Patients and Their Families
Authors: Woods Leanna  , Cummings Elizabeth  , Duff Jed  , Walker Kim
Published: February 2025

Heart failure self-management can be challenging but appropriately designed, user-centred mobile health (mHealth) innovations may help. We have built a consumer mHealth application which we plan to implement as an adjunct to existing specialist multidisciplinary heart failure care at our health service. We have the double aim to meet the needs of patients and ensure clinical relevance in order to be recommended by clinicians. This paper reports the participatory, user-centred co-design process of the conceptual design and iterative development of the application. Two nurse-led participatory design workshops were conducted with six clinicians and a patient, which determined user-experience opinions, key features and priority functions. The iterative development phase encompassed two application wireframe feedback cycles with seven clinicians, three patients and a family member. Workshops and wireframe feedback activities took place on the hospital campus predominantly using resources available to clinicians. Software build was outsourced and was followed by the design team reaching consensus with features and functions of the app. Further development and evaluation of flexible participatory, user-centred methods for use by clinicians to facilitate co-design with consumers will advance consumer digital health strategies.
Evaluation of Patients at Risk of Hospital Readmission (PARR) and LACE Risk Score for New Zealand Context
Authors: Baig Mirza  , Zhang Edmond  , Robinson Reece  , Ullah Ehsan  , Whitakker Robyn
Published: February 2025

Identification and prediction of patients who are at risk of hospital readmission is a critical step towards the reduction of the potential avoidable costs for healthcare organisations. This research was focused on the evaluation of LACE Index for Readmission – Length of stay (days), Acute (emergent) admission, Charlson Comorbidity Index and number of ED visits within six months (LACE) and Patients At Risk of Hospital Readmission (PARR) using New Zealand hospital admissions. This research estimates the risk for all readmissions rather than only those in a subset of referenced conditions. In total, 213,440 admissions between 1 Jan 2015 and 31 Dec 2016 were selected after appropriate ethics approvals and permissions from the three hospitals. The evaluation method used is the Receiver Operating Characteristics (ROC) analysis to evaluate the accuracy of both the LACE and PARR models. As a result, The LACE index achieved an Area Under the Curve (AUC) score of 0.658 in predicting 30-day readmissions. The optimal cut-off for the LACE index is a score of 7 or more with sensitivity of 0.752 and specificity of 0.564. Whereas, the PARR algorithm achieved an AUC score of 0.628 in predicting 30-day readmissions. The optimal cut-off for the PARR index is a score of 0.34 or more with sensitivity of 0.714 and specificity of 0.542.
Usability of Reports Generated by a Computerised Dose Prediction Software
Authors: Baysari Melissa  , Chan Joanne  , Carland Jane  , Stocker Sophie  , Moran Maria  , Day Richard
Published: February 2025

Computerised dose prediction software assist clinicians in undertaking therapeutic drug monitoring by providing individualised dosing recommendations, typically communicated to prescribers in the form of a report. These software are highly sophisticated and accurate in predicting individualised dosage regimens, but if the information contained in the report is not understood by prescribers, the benefits of the software are not achieved. In this study, we set out to assess the perceived usability of a report generated from a dose prediction system. Fifteen prescribers were presented with a mock report and asked a number of questions to elicit their views of the report's content and design. Overall, we found that the mock report was effective in communicating the recommended dose of a drug, but this recommendation was presented alongside information that was not understood or was unlikely to be utilised by prescribers. In particular, the aspects of the report viewed negatively by end-users largely related to a lack of familiarity with the pharmacological terminology used in the report, which hindered understanding and caused confusion. Involving prescribers early on in the process of designing decision support systems is likely to result in systems and outputs that are more useful, usable and accessible to users.
Quality of Answers in Healthcare Social Question Answering
Authors: John Blooma  , Wickramasinghe Nilmini
Published: February 2025

Healthcare Social Question Answering (SQA) services provide an open and free way to share knowledge and experience about health related enquires. Examples of healthcare SQA services are MedHelp, BabyHub and Drugs.com. The quality and the source of the questions and answers vary widely. Hence, we work towards identifying the factors that affect the quality of answers shared on SQA services. This paper thus facilitates the reuse of archived answers in health care SQA services.
XML Skeleton Definitions for Human Posture Assessments
Authors: Lins Christian  , Fudickar Sebastian  , Hein Andreas
Published: February 2025

In this paper, we show how the XML dialect SKAML (Skeletal Assessment Markup Language) can be used to use data from one or more Motion Capture systems to perform human posture assessments with multiple assessment methods. We show an implementation example using an inertial measuring suit and both OWAS and REBA assessment methods. SKAML makes it possible to implement classifiers for a Motion Capture system once and adapt the classifier by-configuration to various ergonomics assessment methods. We anticipate our work as help for researchers and developers that implement new assessment methods or motion capture systems.
Metadata Import from RDF to i2b2
Authors: Stöhr Mark R.  , Majeed Raphael W.  , Günther Andreas
Published: February 2025

Metadata management is an important task in medical informatics and highly affects the gain out of existing health information data. Data Warehouse solutions like Informatics for Integrating Biology and the Bedside (i2b2) are common tools for identifying patient cohorts and analyzing collected clinical data while respecting patient privacy. The Resource Description Framework (RDF) is designed for highly interoperable ontology representation in various formats, facilitating ontology and metadata management. Our approach is to combine i2b2's and RDF's benefits by importing the easy-to-edit RDF ontology into the extensive-research-enabling i2b2 software. We do so by using a SPARQL Protocol and RDF Query Language (SPARQL) interface, that enables RDF data queries, and developing a java program, which then generates i2b2-specific SQL insert statements. To demonstrate our solution's feasibility, we transcribe our lung disease specific ontology to RDF and import it into our i2b2 data warehouse.
Ontologies for Artificial Minds
Authors: Oltramari Alessandro
Published: February 2025

Ontologists build formal models to understand the structure of reality. The fun starts –and I had a lot of it back in the PhD days (!)– when Formal Ontology is applied to understand the structure of what we indisputably use to understand reality itself: the mind. Philosophers have spent lifetimes hovering over this conundrum but I stopped more than a decade ago. Fast-forwarding to the present, I have been busy with a not-so-distant, yet more mundane, problem: building ontologies for AI.
Development of an Automatic Coding System for Digestive Endoscopies
Authors: Ternois Iris  , Escudie Jean-Baptiste  , Benamouzig Robert  , Duclos Catherine
Published: February 2025

Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. This method offers an automatic coding of endoscopic procedures from free-text reports. Thanks to a supervised learning method, the reports are coded with an average precision and recall of 0.92 on a 1639 texts corpus.
Enhancing CDSS Alert Appropriateness in Clinical Workflow Using the Lean Method
Authors: Olufisayo Olakotan  , Mohd Yusof Maryati  , Ezat Wan Puteh Sharifa
Published: February 2025

Despite the widespread use of clinical decision support systems with its alert function, there has been an increase in medical errors, adverse events as well as issues regarding patient safety, quality and efficiency. The appropriateness of CDSS must be properly evaluated by ensuring that CDSS provides clinicians with useful information at the point of care. Inefficient clinical workflow affects clinical processes; hence, it is necessary to identify processes in the healthcare system that affect provider's workflow. The Lean method was used to eliminate waste (non-value added) activities that affect the appropriate use of CDSS. Ohno's seven waste model was used to categorize waste in the context of healthcare and information technology.
Design of InterFACE: A Tool to Improve Collaborative Work and Decision Making During Rescucitation
Authors: Ehrler Frederic  , Del Zotto Marzia  , Rouyer Frederic  , Weinhold Thomas  , Lovis Christian  , Siebert Johan
Published: February 2025

Successful resuscitation requires good teamwork, communication and quick decision-making. The complexity of the situation makes the communication often erratic. As a consequence, improper decisions can be taken and errors can occur, endangering patients. In order to support the resuscitation team in their work, we developed an innovative product named Interconnected and Focused Mobile Applications on Patients Care Environment (InterFACE), enhancing team situational awareness, and improving the team communication process. To develop our solution, we relied on a user-centred design process involving caregivers from both adult and paediatric emergency departments. The process started with interviews and observations, followed by an iterative development approach validated at each step by end-users. The resulting intervention is composed of a tablet app interacting with a large screen, visible to each members of the resuscitation team, presenting real time information about the resuscitation. Resuscitations are very complex and challenging situations involving many actors. Designing a support tool for such situations requires a strong involvement of end users to understand how people work together and what information they share.
Preference-Sensitive Apomediative Decision Support Is Key to Facilitating Self-Produced Health
Authors: Kaltoft Mette Kjer  , Nielsen Jesper Bo  , Dowie Jack
Published: February 2025

In the health capital model, the main function of health services is not to produce health, but to support the person in their self-production investments. In the health context there are three types of decision support tools, depending on the role of the provider (e.g. clinician) and person. Non-mediative tools are designed to help the clinician decide what is best for the patient. Intermediative Patient Decision Aids are designed to help the clinician and patient decide together, in an encounter, what is best for the patient. Apomediative Personalised Decision Support Tools are designed to help the person decide what is best for themselves, including whether to seek a professional consultation and/or to prepare for, and engage in, an intermediative consultation. Only preference-sensitive apomediative support tools ensure that the key requirements of self-produced health are met, along with legally informed and preference-based consent to any subsequent provider action. The desirable form of apomediative support is a publicly accessible, direct-to-citizen, provider-independent, multi-criteria analysis-based decision support of the sort available in many other areas of self-production. Which (UK), Tænk (Denmark), Choice (Australia) and numerous other comparison magazines and websites provide independent multi-criterial support for decisions on, for example, which food and transport to buy to self-produce nutrition and movement. A personalised decision support tool for the statin decision is provided as illustration: Should I go to my general practitioner and ask for a statin prescription or go to discuss taking statins, in the light of the preliminary opinion of the tool?
Secondary Use of Healthcare Structured Data: The Challenge of Domain-Knowledge Based Extraction of Features
Authors: Chazard Emmanuel  , Ficheur Grégoire  , Caron Alexandre  , Lamer Antoine  , Labreuche Julien  , Cuggia Marc  , Genin Michaël  , Bouzille Guillaume  , Duhamel Alain
Published: February 2025

Secondary use of clinical structured data takes an important place in healthcare research. It was first described by Fayyad as “knowledge discovery in databases”. Feature extraction is an important phase but received little attention. The objectives of this paper are: 1) to propose an updated representation of data reuse in healthcare, 2) to illustrate methods and objectives of feature extraction, and 3) to discuss the place of domain-specific knowledge.
Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection
Authors: Foufi Vasiliki  , Lanteri Sébastien  , Gaudet-Blavignac Christophe  , Remy Pascal  , Montet Xavier  , Lovis Christian
Published: February 2025

The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal, a rule-based method using a Natural Language Processing (NLP) tool was applied. Finite state automata were constructed to detect, classify and annotate reports. An evaluation of the method on a manually annotated dataset has shown 96,8% of total match.
Healthcare Informatics Project-Based Learning: An Example of a Technology Management Graduation Project Focusing on Veterinary Medicine
Authors: Benis Arriel
Published: February 2025

Teaching Healthcare Informatics using Project-Based Learning focuses students on active and inquiry-based learning and allows them to gain some knowledge and skills in the field. From the perspective of Technology Management, which is at the cross-road of Sciences, Engineering and Business Administration studies, Healthcare Informatics is an interesting application domain for developing both innovation and management capabilities. However, the specificities of Healthcare Informatics (standards, methodologies, human- or animal-focused information) require an additional involvement from the students to deliver projects that fit real-world needs and constraints. In this paper, we initially define the Technology Management field and describe how it is related to Healthcare Informatics, then we introduce Project-Based Learning and finally we present an example of a graduation project that focuses on Veterinary Medicine.
Twister: A Tool for Reducing Screening Time in Systematic Literature Reviews
Authors: Kreiner Karl  , Hayn Dieter  , Schreier Günter
Published: February 2025

Systematic reviews are widely used as a tool for decision making to establish new clinical guidelines. Reviews can be time-consuming, potentially leaving authors with thousands of citations to screen. Software tools for assisting reviewers in this process are available, however, only few use text mining techniques to reduce screening time. In this work, we introduce Twister, a web-based tool for semi-automated literature reviews with broad research questions. We discuss how two text mining techniques can be used to (a) extract data elements from clinical abstracts and (b) how citations can be clustered based on a key phrase-extraction to help reviewers reduce screening time. We present the overall system architecture, design consideration and system implementation.
Process Analysis and Decision Support Tools in Parenteral Nutrition in Children
Authors: Žitko Zorica  , Končar Miroslav  , Cifrek Mario
Published: February 2025

Parenteral nutrition represents a well-established but highly sensitive process associated with several patient conditions. It typically involves assessments of many parameters and a wide range of observations in order to come up with the best possible parenteral solution for a patient. Different calculation tables are used to determine correct ratios of nutritional elements which would later be administered. This work focuses on providing a process map for parenteral nutrition in children using the combination of Petri nets and openEHR methodology to create an overview for the decision-making process.
Home Coming? A Story of Reassurance, Opportunity and Hope for Universally Designed Housing in Australia
Authors: Galbraith Penny
Published: February 2025

This paper shows the complexity of housing and how it is the linch-pin for achieving economic, social and human rights imperatives. In Australia there are no minimum housing standards; the effect is now critical. In October 2017, a regulatory impact assessment was instructed, to consider Livable Housing Australia's Silver and Gold standards, for inclusion in the National Construction Code. A substantial research project provided a knowledge and evidence base of the policy perspective; an expanded statistical context; and detailed analyses of Silver, Gold and Platinum design levels. The policy perspective included greater economic focus. The effect on productivity, directly attributable to housing, is significant. 34 specific policy ‘problems’ were identified that could be solved or mitigated if acceptable standards of housing were introduced. It is reassuring that universal design has permeated all levels of government policy. The statistical context explored demographics, households, dwelling types; tenure; occupants; disability and carers. Detailed analyses challenged many common assumptions and re-framed accessible housing into a mainstream problem. 73% of all dwellings are separate houses and the average home has 3.1 bedrooms. There are tremendous opportunities for universally design-led mainstream solutions. The compliance gap analyses show which design features might cost more; have potential to be designed out; or be cost neutral. Many design features are cost neutral and arguably should be included within mandated standards. As there is a minimal gap between universal design standards and current housing, there is hope that all Australians will, one day, live in a universally designed home.
Achieving Success of “Accessible India Campaign” Through Universal Design Education in India
Authors: Sankat Sandeep  , Torkildsby Anne Britt
Published: February 2025

The Prime Minister, “Shri Narendra Modi” of India, launched “Sugamya Bharat Abhiyan” (Accessible India Campaign), on 3rd, December 2015. It is a nationwide flagship campaign for achieving universal accessibility for “Persons with Disabilities” and to create an enabling and barrier free environment, with a focus on three verticals; “Built Environment”, “Public Transportation” and “Information and Communication Technologies” [1]. The Accessible India Campaign comprises of the following key components:- (i) Create Mass Awareness; (ii) Capacity Building; (iii) Interventions (Technology solutions, Legal framework, Resource generation); (iv) Leverage corporate sector efforts including CSR resources; (v) Leadership endorsements [1] . In the key components stated above two major components are; 1. Mass Awareness and 2. Capacity Building. To achieve both these components, the need is to develop a knowledge base through which stakeholders associated with built environment development and creation can be brought at one platform and awareness towards universal accessibility can be created among the people at large. Thus this study is an attempt to identify the possibilities to make the “Accessible India Campaign” a success through “Universal Design Education” and to establish and validate the need of universal design in making the “Accessible India Campaign” a success.