bluuebunny/crossref_metadata_2025 huggingface dataset:
Big Data, Big Problems: A Healthcare Perspective
Authors: Househ Mowafa S.  , Aldosari Bakheet  , Alanazi Abdullah  , Kushniruk Andre W.  , Borycki Elizabeth M.
Published: February 2025

Much has been written on the benefits of big data for healthcare such as improving patient outcomes, public health surveillance, and healthcare policy decisions. Over the past five years, Big Data, and the data sciences field in general, has been hyped as the “Holy Grail” for the healthcare industry promising a more efficient healthcare system with the promise of improved healthcare outcomes. However, more recently, healthcare researchers are exposing the potential and harmful effects Big Data can have on patient care associating it with increased medical costs, patient mortality, and misguided decision making by clinicians and healthcare policy makers. In this paper, we review the current Big Data trends with a specific focus on the inadvertent negative impacts that Big Data could have on healthcare, in general, and specifically, as it relates to patient and clinical care. Our study results show that although Big Data is built up to be as a the “Holy Grail” for healthcare, small data techniques using traditional statistical methods are, in many cases, more accurate and can lead to more improved healthcare outcomes than Big Data methods. In sum, Big Data for healthcare may cause more problems for the healthcare industry than solutions, and in short, when it comes to the use of data in healthcare, “size isn't everything.”
Find Your Passion, Lead with Purpose: A Health Informaticians' Guide
Authors: Househ Mowafa
Published: February 2025

Health Informatics is an ever evolving, changing and dynamic field that has become the disruptive innovation shaping the future of healthcare. Health informaticians face a number of challenges in the workplace such as gaining acceptance and recognition from other healthcare providers and overcoming the resistance of healthcare providers from using technology in clinical practice. Being a health informatician is not for the faint hearted, especially as resistance to the role of health informaticians continues from both healthcare providers and hospital administrators. As health informaticians move from behind the scenes to the front line of todays modern healthcare organization, more leadership training is needed for health informaticians in dealing with the changing demands of the healthcare industry and rapid changes in technology innovations. Waking up everyday with the same passion and purpose to lead others and drive change within healthcare organizations requires the health informatician to find the internal passion that will be transformed into external actions guiding the health informatician in how they lead, communicate, work, think, and treat others within the workplace. The purpose of this paper is to help health informaticiains tap into and develop their passion for the field of health informatics so that they can lead with purpose to improve how healthcare is practiced and delivered, making a lasting change in the overall healthcare system.
A Spatial Dashboard for Alzheimer's Disease in New South Wales
Authors: Robertson Hamish  , Nicholas Nick  , Dhagat Amit  , Travaglia Joanne
Published: February 2025

This paper illustrates a proof of concept scenario for the application of comprehensive data visualisation methods in the rapidly changing aged care sector. The scenario we explored is population ageing and the dementias with an emphasis on the spatial effects of change over time at the Statistical Area 2 (SA2) level for the state of New South Wales. We did this using a combination of methods, culminating in the use of the Tableau software environment to explore the intersections of demography, epidemiology and their formal cost of care implications. In addition, we briefly illustrate how key infrastructure data can be included in the same data management context by showing how service providers can be integrated and mapped in conjunction with other analyses. This is an innovative and practical approach to some of the complex issues already faced in the health and aged care sectors which can only become more pronounced as population ageing progresses.
Downtime in Digital Hospitals: An Analysis of Patterns and Causes Over 33 Months
Authors: Chen Jessica  , Wang Ying  , Magrabi Farah
Published: February 2025

The use of health information technology (IT) is increasing around the world. However, as complex IT systems are implemented, new types of errors are introduced. These can disrupt workflow and care delivery, and even lead to patient harm. The purpose of this paper is to examine the patterns and causes of IT system downtime in a hospital setting. We examined all the downtime events that were recorded by a hospital IT department from February 2010 to October 2012. On average downtime disrupted care delivery for 49 hours per year with 51% of total downtime between 9 am and 5 pm. These results show that there is a need for safer design and implementation of IT systems. Further studies are required to measure the effects of downtime on care delivery and patient outcomes in digital hospitals.
Learning from the Field and Its Listserv: Issues That Concern Health Literacy Practitioners
Authors: Kurtz-Rossi Sabrina  , Rikard R.V.  , McKinney Julie
Published: February 2025

This study assesses the content of email messages posted to the Health Literacy Discussion List (HLDL) during a two-year period. The study identifies issues of concern to list subscribers, describes the purposes the list serves for health professionals, and contributes to the health literacy literature by providing an email listserv as a research corpus. The authors conducted an inductive qualitative analysis of email posts to the HLDL from October 2013 to October 2015. Using an iterative process, the authors identified descriptive categories for types of posts and topics of posts. The first (SKR) and second (JM) authors reviewed subject lines of all 2,036 posts and brainstormed type and topic categories, independently read and sorted a random sample of 200 posts into those categories, and then discussed discrepancies. Based on the latter experience, the authors combined, added, or excluded certain categories and jointly created a detailed description for each type and topic category. We then sorted another random sample of 200 posts and generated a list of key words relating emails to topic categories. A Cohen's kappa reliability coefficient was calculated to establish intercoder reliability. The third author (RVR) then conducted key word searches for sorting the remaining 1,836 email posts. The existence and frequency of email clusters and the content of emails in these clusters were used to identify and explore in greater detail the “hot topics” of interest to the field. Our analysis suggests the utility of the HLDL as a platform for sharing information and resources, announcements and calls for action, technical assistance and professional discourse.
Patient and Healthcare Provider Factors for Communication (PHPFC) Model
Authors: Basahih Eman  , Kuziemsky Craig
Published: February 2025

eHealth applications can allow patients to view, manage and track their health conditions while also allowing healthcare providers to monitor and update their patients' healthcare information in a timelier manner. There is a need for studies to describe what common ground is needed for eHealth applications to facilitate communication between patients and healthcare providers. This paper proposes the Patient-Healthcare Provider Factors for Communication (PHPFC) model that describes patient and provider eHealth communication factors as well as a set of integrated factors to support development of common ground between the two groups.
Developing an Assessment Tool for Enhancing Interprofessional Education of Patient Safety
Authors: Gong Yang
Published: February 2025

The increasing recognition of the value of effective interprofessional collaboration has promoted interprofessional education (IPE) among healthcare professionals. The IPE pilot program initiative at UTHealth matriculated students from the disciplines of biomedical informatics, biomedical sciences, dentistry, medicine, nursing and public health. There has been a pressing need for developing an assessment tool in reflecting how IPE participants recognize and understand the other disciplines including clinical informatics in nowadays' practice. This paper reports our development process of the assessment tool, which is still under an iterative, in-depth refinement and aiming at greater collaborations.
Helping Hands: Using Augmented Reality to Provide Remote Guidance to Health Professionals
Authors: Mather Carey  , Barnett Tony  , Broucek Vlasti  , Saunders Annette  , Grattidge Darren  , Huang Weidong
Published: February 2025

Access to expert practitioners or geographic distance can compound the capacity for appropriate supervision of health professionals in the workplace. Guidance and support of clinicians and students to undertake new or infrequent procedures can be resource intensive. The Helping Hands remote augmented reality system is an innovation to support the development of, and oversee the acquisition of procedural skills through remote learning and teaching supervision while in clinical practice. Helping Hands is a wearable, portable, hands-free, low cost system comprised of two networked laptops, a head-mounted display worn by the recipient and a display screen used remotely by the instructor. Hand hygiene was used as the test procedure as it is a foundation skill learned by all health profession students. The technology supports unmediated remote gesture guidance by augmenting the object with the Helping Hands of a health professional. A laboratory-based study and field trial tested usability and feasibility of the remote guidance system. The study found the Helping Hands system did not compromise learning outcomes. This innovation has the potential to transform remote learning and teaching supervision by enabling health professionals and students opportunities to develop and improve their procedural performance at the workplace.
Bridging the Gap Between the Social and the Technical: The Enrolment of Socio-Technical Information Architects to Cope with the Two-Level Model of EPR Systems
Authors: Pedersen Rune
Published: February 2025

This is a project proposal derived from an urge to re-define the governance of ICT in healthcare towards regional and national standardization of the patient pathways. The focus is on a two-levelled approach for governing EPR systems where the clinicians' model structured variables and patient pathways. The overall goal is a patient centric EPR portfolio. This paper define and enlighten the need for establishing the socio- technical architect role necessary to obtain the capabilities of a modern structured EPR system. Clinicians are not capable to moderate between the technical and the clinical.
ShopComm: Community-Supported Online Shopping for Older Adults
Authors: Gorkovenko Katerina  , Tigwell Garreth W.  , Norrie Christopher S.  , Waite Miriam  , Herron Daniel
Published: February 2025

The United Kingdom has an ageing population whose members experience significant life transitions as they grow older, for example, losing mobility due to deteriorating health. For these adults, digital technology has the potential to sustain their independence and improve their quality of life. However older adults can be reluctant to use digital solutions. In this paper, we review a local charity providing a grocery shopping service for older adults who are unable to go themselves. We explore how older adults perceive the benefits and drawbacks of both physical and digital shopping. Using these insights, we designed ShopComm to enable and support older adults with mobility impairments to shop online.
Process Development for the Design and Manufacturing of Personalizable Mouth Sticks
Authors: Berger Veronika M.  , Pölzer Stephan  , Nussbaum Gerhard  , Ernst Waltraud  , Major Zoltan
Published: February 2025

To increase the independence of people with reduced hand/arm functionality, a process to generate personalizable mouth sticks was developed based on the participatory design principle. In a web tool, anybody can choose the geometry and the materials of their mouth piece, stick and tip. Manufacturing techniques (e.g. 3D printing) and materials used in the process are discussed and evaluated.
A Robotic Solution for Assisting People with MCI at Home: Preliminary Tests of the ENRICHME System
Authors: Salatino Claudia  , Pigini Lucia  , Van Kol Marlies Maria Elisabeth  , Gower Valerio  , Andrich Renzo  , Munaro Giulia  , Rosso Roberto  , Castellani Angelo P.  , Farina Elisabetta
Published: February 2025

Robots have the potential to support care and independence of older adults. The ENRICHME project is developing an integrated system composed of a robot, sensors and a networking care platform, aiming at assisting older adults with MCI in their home environment. This paper reports findings of the tests performed on a sample of MCI users and their caregivers, with the first version of the ENRICHME system, in a controlled environment.
Exploring the Use of a Humanoid Robot to Engage Children with Autism Spectrum Disorder (ASD)
Authors: Desideri Lorenzo  , Negrini Marco  , Cutrone Maria Cristina  , Rouame Aziz  , Malavasi Massimiliano  , Hoogerwerf Evert-Jan  , Bonifacci Paola  , Di Sarro Rita
Published: February 2025

We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educational interventions targeting children with autism spectrum disorders (ASD). Preliminary results with three preschool children with ASD indicate that interacting with a humanoid robot may facilitate engagement and goal achievement in educational activities.
Usability of JACO Arm Interfaces Designed with a User-Centred Design Method
Authors: Sauzin Damien  , Vigouroux Nadine  , Vella Frédéric
Published: February 2025

Utility, usability and acceptability of robotic arm for helping motor impairment people (quadriplegic, muscular dystrophy, Amyotrophic Lateral Sclerosis) must be improved. The robotic arm JACO of company ©Kinova is controlled by a joystick, sometimes unusable by patients. The IRIT laboratory has designed three types of virtual interfaces: one based on virtual keyboards and two others on Pie Menu concepts. These interfaces were designed by mean of a user centred design approach (UCDA) including brain storming, focus group, iterative prototyping and trials. Then an experiment is described with two patients (Spinal Muscular Atrophy and cerebral palsy). This experiment shows that the three interfaces designed by a UCDA are usable by them.
Image Based Location Estimation for Walking Out of Visual Impaired Person
Authors: Kamasaka Kazuho  , Kitahara Itaru  , Kameda Yoshinari
Published: February 2025

A new and intelligent walking navigation system could be helpful for visually impaired people so that they do not need helpers or guide dogs on going out. Conventional navigation systems using GPS are not available indoors or undergrounds. A new location estimation method that is available in such situations is necessary. We propose to estimate pedestrian's location with only a single camera attached to the pedestrian. Our proposed method uses only computer vision and no other sensors are needed. The location estimation is achieved by image retrieval. The retrieval database is built from a pre-recorded video taken along a planned walking path. Simple image retrieval using local image features does not work well when the images were taken in different conditions of time and weather. In this paper, we especially explore robustness for the change of sunlight condition due to its recording time. We propose a new method of robust location estimation based on our database built by combining more than one video that is taken under different conditions. Experiment results showed that the accuracy of the location estimation using the proposed database is better than the one from a conventional database built by using a single video.
Supporting Disabled People's Independence With Digital Skills in the Community
Authors: Redmond Emily  , Richardson James
Published: February 2025

This presentation discusses research by Good Things Foundation with community organisations supporting disabled people within the national Online Centres network, to explore the barriers to digital inclusion (DI) they face. The research informed a handbook to help similar organisations get disabled people online.
Inclusive E-Learning – Towards an Integrated System Design
Authors: Patzer Yasmin  , Pinkwart Niels
Published: February 2025

At first sight there seem to be issues combining technical accessibility guidelines and educational needs when designing inclusive E-Learning. Furthermore Universal Design for Learning seems to contradict individualization. In this paper we address both issues with an inclusive E-Learning design for the LAYA system, which targets disabled and non-disabled learners.
An Analysis and Proposal of 3D Printing Applications for the Visually Impaired
Authors: Minatani Kazunori
Published: February 2025

The full 3D printing process is divided into discrete 3 steps. With user-centric approach, the study confirmed that people with visual impairments could use CAD to carry out 3D printing tasks by managing the entire process as long as they had a certain amount of 3D data.
Accessibility Analysis of the Eclipse IDE for Users with Visual Impairment
Authors: Petrausch Vanessa  , Loitsch Claudia
Published: February 2025

Integrated Development Environments support software developers during their daily work. However, complex graphical interfaces and various functions disable an accessible development environment. We present the results of an online questionnaire, which identifies accessibility issues regarding the Eclipse IDE, and an inclusive tutorial for Eclipse for people with visual impairment.
Use of Scanning Wizard Can Enhance Text Entry Rate: Preliminary Results
Authors: Koester Heidi Horstmann  , Simpson Richard C.
Published: February 2025

Scanning Wizard software helps scanning users improve the setup of their switch and scanning system. This study is evaluating Scanning Wizard's effectiveness, with nine people who use single-switch scanning participating to date. Text entry rates have improved by an average of 71%, ranging from 29 to 172% improvement.
Behavioural Patterns from Cellular Data Streams and Outdoor Lighting as Strong Allies for Smart Urban Ecosystems
Authors: Klimek Radosław  , Kotulski Leszek  , Sędziwy Adam
Published: February 2025

The concept of smart urban systems assumes tracking and analysing various signals generated in the environment surrounding inhabitants. The aim is to provide responses which are context-aware and pro-active and allow to increase the inhabitant's life comfort. Smart outdoor lighting solutions are common and mandatory components for modern urban spaces and municipalities offering considerably energy savings. On the other hand, inhabitants' behavioural fingerprints originating from cellular data streams, produced and stored in base transceiver stations (BTSs), are the most ‘democratic’ and ubiquitous information which might support modern solutions tuning/fitting lighting parameters to the current needs. This paper presents the fundamental problems of elicitation, classification and understanding of such signals/data for the development of smart systems operating in urban areas with the special focus put on smart outdoor lighting problems. Omnipresence of computing is strongly focused on providing on-line support to users/inhabitants of smart cities. Three important components underlying computational model are discussed in this paper: the method of analysing selected elements of mobile phone datasets through understanding inhabitants' behavioural fingerprints, the multi-agent system supporting the proposed logic and the formalism based on graphs that allows reasoning about inhabitant behaviours. Corresponding scenarios for public transport and outdoor lighting are outlined as well.
Expert2OWL: A Methodology for Pattern-Based Ontology Development
Authors: Tahar Kais  , Xu Jie  , Herre Heinrich
Published: February 2025

The formalization of expert knowledge enables a broad spectrum of applications employing ontologies as underlying technology. These include eLearning, Semantic Web and expert systems. However, the manual construction of such ontologies is time-consuming and thus expensive. Moreover, experts are often unfamiliar with the syntax and semantics of formal ontology languages such as OWL and usually have no experience in developing formal ontologies. To overcome these barriers, we developed a new method and tool, called Expert2OWL that provides efficient features to support the construction of OWL ontologies using GFO (General Formal Ontology) as a top-level ontology. This method allows a close and effective collaboration between ontologists and domain experts. Essentially, this tool integrates Excel spreadsheets as part of a pattern-based ontology development and refinement process. Expert2OWL enables us to expedite the development process and modularize the resulting ontologies. We applied this method in the field of Chinese Herbal Medicine (CHM) and used Expert2OWL to automatically generate an accurate Chinese Herbology ontology (CHO). The expressivity of CHO was tested and evaluated using ontology query languages SPARQL and DL. CHO shows promising results and can generate answers to important scientific questions such as which Chinese herbal formulas contain which substances, which substances treat which diseases, and which ones are the most frequently used in CHM.
Mapping Equivalence of German Emergency Department Medical Record Concepts with SNOMED CT After Implementation with HL7 CDA
Authors: Brammen Dominik  , Dewenter Heike  , Heitmann Kai U.  , Thiemann Volker  , Majeed Raphael W.  , Walcher Felix  , Röhrig Rainer  , Thun Sylvia
Published: February 2025

Introduction: The German Emergency Department Medical Record (GEDMR) was created by medical domain experts and healthcare providers providing a dataset as well as a form. The trauma module of GEDMR was syntactically standardized using HL7 CDA and semantically standardized using different terminologies including SNOMED CT, LOINC and proprietary coding systems. This study depicts the mapping accuracy with aforementioned syntactical and semantical standards in general and especially the content coverage of SNOMED CT.
Implications of Low Levels of the UV Index for Sun Protection
Authors: Lehmann Maria  , Pfahlberg Annette B.  , Sandmann Henner  , Uter Wolfgang  , Gefeller Olaf
Published: February 2025

A Global Solar Ultraviolet Index (UVI) value of 2 is generally linked to the health message ‘You can safely stay outside!’ To examine whether this is sound advice for all skin types and even for prolonged periods spent outside we used erythemal irradiance data of all 136 days during the study period from 2014 till 2016 with such a UVI measured by the German Federal Office for Radiation Protection (BfS) in Munich, Germany. A comparison between the ambient erythemal doses calculated for various time intervals and minimal erythemal doses (MEDs) of the Caucasian skin types I–IV led us to a critical reappraisal of the above health message. Specifically, the message might be misleading if people with a fair complexion want to spend several hours outside, because without any protective measures the doses received can be sufficient to induce erythema. We thus recommend an amendment of the health message related to a safe level of the UVI and, moreover, generally tailoring UVI-related health messages to different skin types. Currently, these messages do not seem to be strictly evidence based, which might be one reason for the unexpected result of our analysis.
How to Teach Health IT Evaluation: Recommendations for Health IT Evaluation Courses
Authors: Ammenwerth Elske  , De Keizer Nicolet  , Brender McNair Jytte  , Craven Catherine K.  , Eisenstein Eric  , Georgiou Andrew  , Khairat Saif  , Magrabi Farah  , Nykänen Pirkko  , Otero Paula  , Rigby Michael  , Scott Philip  , Weir Charlene
Published: February 2025

Systematic health IT evaluation studies are needed to ensure system quality and safety and to provide the basis for evidence-based health informatics. Well-trained health informatics specialists are required to guarantee that health IT evaluation studies are conducted in accordance with robust standards. Also, policy makers and managers need to appreciate how good evidence is obtained by scientific process and used as an essential justification for policy decisions. In a consensus-based approach with over 80 experts in health IT evaluation, recommendations for the structure, scope and content of health IT evaluation courses on the master or postgraduate level have been developed, supported by a structured analysis of available courses and of available literature. The recommendations comprise 15 mandatory topics and 15 optional topics for a health IT evaluation course.
On-The-Fly Query Translation Between i2b2 and Samply in the German Biobank Node (GBN) Prototypes
Authors: Mate Sebastian  , Vormstein Patric  , Kadioglu Dennis  , Majeed Raphael W.  , Lablans Martin  , Prokosch Hans-Ulrich  , Storf Holger
Published: February 2025

Information retrieval is a major challenge in medical informatics. Various research projects have worked on this task in recent years on an institutional level by developing tools to integrate and retrieve information. However, when it comes down to querying such data across institutions, the challenge persists due to the high heterogeneity of data and differences in software systems. The German Biobank Node (GBN) project faced this challenge when trying to interconnect four biobanks to enable distributed queries for biospecimens. All biobanks had already established integrated data repositories, and some of them were already part of research networks. Instead of developing another software platform, GBN decided to form a bridge between these. This paper describes and discusses a core component from the GBN project, the OmniQuery library, which was implemented to enable on-the-fly query translation between heterogeneous research infrastructures.
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients
Authors: Guo Shijing  , Li Xiang  , Du Xin  , Liu Haifeng  , Xie Guotong
Published: February 2025

Atrial fibrillation (AF) patients suffer a high risk of ischemic stroke and other thromboembolism (TE). Warfarin is a long-term oral medication and is effective in reducing TE for AF patients. Identifying the trajectory patterns of warfarin use in AF patients and discovering how different trajectories are associated with different TE outcomes are important for understanding long-term use of warfarin. Also, finding the factors affecting future warfarin use and predicting the warfarin use trajectory for new patients can help to efficiently target the specific patient groups and propose relevant interventions for warfarin use. This paper, combining group-based trajectory modeling and predictive modeling, has successfully discovered three patient groups with distinct warfarin use trajectories. Also, results suggest that the warfarin use trajectory has potential association with the TE outcomes. Moreover, results show factors affecting the future trajectory, which have been used to build prediction models for the warfarin use group.
Predicting Harm Scores from Patient Safety Event Reports
Authors: Liang Chen  , Gong Yang
Published: February 2025

The identification of the severity of patient safety events promotes prioritized safety analysis and intervention. The Harm Scale developed by the Agency for Healthcare Research and Quality is widely used in the US hospitals. However, recent studies have indicated a moderate to poor inter-rater reliability of the Harm Scale across a number of US hospitals. Although the reasons are multi-folded, biased human judgments are recognized as a prominent factor. We proposed that key information to identify and refine the severity of harm is contained in the narrative data in patient safety reports. Using automated text classification to categorize harm scores is intended to provide reduced subjective judgments and much improved efficiency. We evaluated different types of classification algorithms using a corpus of patient safety reports from a US health care system. The results demonstrate the effectiveness and efficiency of the proposed methods. Accordingly, human biases on the application of harm scores are expected to be largely reduced. Our finding holds promise to serve as a semi-supervised tool during the process of manually reviewing and analyzing patient safety events.
Saudi Diabetic Patients' Attitudes Towards Patient Portal Use and Their Perceived E-Health Literacy
Authors: AlOthman Rawan  , Zakaria Nasriah  , AlBarrak Ahmed
Published: February 2025

A cross-sectional study (n = 130) was conducted to identify diabetic patient's attitudes, patient portal feature preferences, and e-health literacy at two tertiary hospitals in Riyadh, Saudi Arabia. 51% of patients had positive attitude towards the patient portal, 82% think a portal could help with self-care management. 53% of patients had low e-health literacy levels and 9% had high e-health literacy levels. The majority of the study sample have a positive attitude with low e-health literacy levels.
Management of In-Field Patient Tracking and Triage by Using Near-Field Communication in Mass Casualty Incidents
Authors: Cheng Po-Liang  , Su Yung-Cheng  , Hou Chung-hung  , Chang Po-Lun
Published: February 2025

Near field communications (NFC) is an emerging technology that may potentialy assist with disaster management. A smartphone-based app was designed to help track patient flow in real time. A table-drill was held as a brief evaluation and it showed significant imporvement in both efficacy and accuracy of patient management. It is feasible to use NFC-embedded smartphones to clarify the ambiguous and chaotic patient flow in a mass casualty incident.
3D Documentation of Chronic Wounds Using Low-Cost Mobile Devices
Authors: Sirazitdinova Ekaterina  , Deserno Thomas M.
Published: February 2025

The state-of-the-art wound assessment is manually performed by clinicians. This is ineffective and imprecise. Special devices have been developed for automation, but they are expensive and often lack portability. We present a concept of a low-cost system for wound documentation and analysis. Using computer vision techniques, 3D reconstructions of wounds can be created from images taken with a simple camera, such as those embedded in mobile phones.
An Interdisciplinary Approach Between Medical Informatics and Social Sciences to Transdisciplinary Requirements Engineering for an Integrated Care Setting
Authors: Vielhauer Jan  , Böckmann Britta
Published: February 2025

Requirements engineering of software products for elderly people faces some special challenges to ensure a maximum of user acceptance. Within the scope of a research project, a web-based platform and a mobile app are approached to enable people to live in their own home as long as possible. This paper is about a developed method of interdisciplinary requirements engineering by a team of social scientists in cooperation with computer scientists.
Validated Simulation: The Preliminary Experience of Anesthesiologist Board Examination in Taiwan
Authors: Cheng Hung-Wei  , Chen Pin-Tarng  , Lo Ying-Chih  , Chang Po-Lun
Published: February 2025

High fidelity simulation-based teaching has played an important role in medical education, especially in anesthesiology and emergency. But there is not any currently validated scoring system or prediction model for high fidelity simulation. We will develop a validated prediction model to enhance the efficiency and validation of clinical training with high fidelity simulation.
Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results
Authors: Kim Youjin  , Kim Han-Gyu  , Li Zhun  , Choi Ho-Jin
Published: February 2025

We have used deep neural networks (DNNs) to generate clinical opinions from general blood test results. DNNs have overfitting problem in general. We believe the complex structure of DNN and insufficient data to be the major reasons of overfitting in our case. In this paper, we apply dropout and batch normalization to avoid overfitting. Experimental results show the improvement in the performance of the DNNs.
System Development Aiming Efficient Recording of Pedigree Information and Database Construction for Genetic Counseling Clinic
Authors: Nagasawa Takuya  , Azuma Mitsuhiro  , Aki Michihiko  , Yamada Masaki  , Ushiama Mineko  , Tanabe Noriko  , Nakajima Takeshi  , Sugano Kokichi  , Sakamoto Hiromi  , Yoshida Teruhiko
Published: February 2025

In the collaborative research to support genomic medicine, we aim to improve the efficiency of operation such as prevention of hereditary cancer syndromes. In the present work, we built a prototype system to record a pedigree chart, clinical and genetic information on individuals during a genetic counseling session. In a mock examination, we were able to draw the pedigree chart of four generations in about four minutes and to record necessary information without disrupting conversation with counselees.
Comparison of Different Algorithms for Sentiment Analysis: Psychological Stress Notes
Authors: Yoon Sunmoo  , Parsons Faith  , Sundquist Kevin  , Julian Jacob  , Schwartz Joseph E.  , Burg Matthew M.  , Davidson Karina W.  , Diaz Keith M.
Published: February 2025

To visualize and compare three text analysis algorithms of sentiment (AFINN, Bing, Syuzhet), applied to 1549 ecologically assessed self-report stress notes obtained by smartphone, in order to gain insights about stress measurement and management.
Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes
Authors: Cintho Lilian Mie Mukai  , Garcia Diego  , da Silva Santos Bruno Henrique  , Sacchi Lucia  , Quaglini Silvana  , Moro Claudia Maria Cabral
Published: February 2025

Studies describing Computer-Interpretable Clinical Guidelines (CIG) with temporal constrains (TC) generally have not addressed issues related to their integration into Electronic Health Record (EHR) systems. This study aimed to represent TCs contained in clinical guidelines by applying archetypes and Guideline Definition Language (GDL) to incorporate decision support into EHRs. An example of each TC class in the clinical guideline for management of Atrial Fibrillation was represented using archetypes and GDL.
Implementation of an Archetype Data Set to Reuse Electronic Health Record Data in Clinical Decision Support Systems
Authors: Kopanitsa Georgy
Published: February 2025

The efficiency and acceptance of clinical decision support systems (CDSS) can increase if they reuse medical data captured during health care delivery. High heterogeneity of the existing legacy data formats has become the main barrier for the reuse of data.
Using Semantic Technologies to Extract Highlights from Care Notes
Authors: Lopez Vanessa  , Mccarthy Grace  , Bettencourt-Silva Joao  , Sbodio Marco  , Mulligan Natasha  , Cucci Fabrizio  , Deparis Stephane  , Hennessy Ciaran  , Yadav Nagesh  , Kelly Karie  , Olsen Russell  , Cullen Conor  , Kotoulas Spyros
Published: February 2025

We propose a cognitive system for patient-centric care that leverages and combines natural language processing, semantics, and learning from users over time to support care professionals working with large volumes of patient notes. The proposed methods highlight the entities embedded in the unstructured data to provide a holistic semantic view of an individual. A user-based evaluation is presented, showing consensus between the users and the system.
Self-Reported eHealth Literacy Among Undergraduate Nursing Students in Selected Districts of Sri Lanka
Authors: Tissera Shaluni  , Silva Nishan
Published: February 2025

Nurses as the largest Health Care Workers group, are extrememly important in promoting eHealth. Before promoting eHealth in a structured system, personal use of eHealth like as for Health Information Seeking; is important. Therefore study was done on the use of electronic health information sources among the Sri Lankan Nursing students. It showed that though they do use a wide range of sources, but they are unable to use them specifically and reliably.
Integration of Japanese Medical Device Adverse Event Terminologies
Authors: Yagahara Ayako  , Tanikawa Takumi  , Ogasawara Katsuhiko  , Yokoi Hideto
Published: February 2025

The purpose of this study is to integrate Japanese medical device adverse event terminologies for evaluating terminological consistency. We represented hierarchy and relations among terms using Resource Description Framework (RDF). There were 3521 classes and 14650 properties. As a result of evaluating the consistency of the description in SPARQL, it was evident that the same notations existed within different terminologies (category terms and terms) and some terms had plural definitions.
Event Notification in Support of Population Health: The Promise and Challenges from a Randomized Controlled Trial
Authors: Dixon Brian E.  , Boockvar Kenneth S.
Published: February 2025

Event notifications are real-time, electronic alerts that have the promise of improving population health by exchanging critical information to a patient's extended care team. In a trial of event noficiations in U.S. Veterans Affairs facilities, we seek to understand the impact of notifications on health care utilization within 30 and 90-days. Lessons from the trial have implications beyond the evidence by informing strategies to develop and implement event notifications in other health systems.
A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing
Authors: Honda Masayuki  , Matsumoto Takehiro
Published: February 2025

Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities. Data Warehouse systems in Hospital Information Systems used for the analysis of structured data such as disease, lab-tests, and medications, have also shown efficient outcomes. This article is focused on two kinds of essential functions: process mining using log data and non-structured data analysis via Natural Language Processing.
Using a Mobile Device Application to Support Emergency Clinicians in Diagnosing Pulmonary Embolism
Authors: Huang Chun Yen  , Cheng Po Liang  , Chang Po Lun
Published: February 2025

Pulmonary embolism is a difficult disease to diagnose in the emergency department. It may be fatal if the diagnosis is missed. Clinical practice guidelines and textbooks publish pretest diagnostic tools and algorithms that facilitate the diagnosis of pulmonary embolism. We developed and administered a questionnaire that determined that such tools can be difficult to remember to use. We also designed an Android application to facilitate diagnosis of pulmonary embolism and used a questionnaire to evaluate the application.
Willingness to Pay for Elderly Tele-Care System Using Digital Terrestrial Broadcasting
Authors: Katsuhiko Ogasawara  , Satoshi Kaga  , Teppei Suzuki  , Yuji Tani  , Fumihiro Higashikawa  , Hisashi Enomoto  , Hiroyuki Moriyama  , Nobuyuki Kise
Published: February 2025

The aim of this research is to quantify individual willingness-to-pay (WTP) to test effectiveness of Digital terrestrial broadcasting elderly tele-care system.We used contingent valuation method (CVM) to estimate the WTP for this system among 400 citizens living in Japan. The median WTP for this services's monthly fee is estimated to be 431 JPY. The finding suggests that people who cares their health were pay more to use this system.
The Role of Technology in Medication Safety Incidents: Interpretative Analysis of Patient Safety Incidents Data
Authors: Lichtner Valentina  , Gerrett David  , Slee Ann  , Gul Noreen  , Cornford Tony
Published: February 2025

This is a study of medication safety incidents reported to the NHS in England (UK) associated with the use of digital technology. An interpretative analysis of 888 incidents reports offers insight into uses and features of this technology associated with medication errors and potential patient harm.
Effects of Computerized Guideline-Oriented Clinical Decision Support System on Glycemic Control in Diabetic Patients: A Systematic Review and Meta-Analysis
Authors: Sakurai Ryota  , Ohe Kazuhiko
Published: February 2025

In a meta-analysis of 4 trials, computerized guideline-oriented clinical decision support system (CDSS) for healthcare providers showed a similar change in glycated hemoglobin (HbA1C) from baseline to follow up (weighted mean difference (95% confidence interval (CI)): −0.29 (−0.74, 0.16), p = 0.212), but a reduced proportion of patients with HbA1C≥ 7.0% at follow up (odds ratio (95%CI)): 0.85 (0.74, 0.97), p = 0.014) compared with the control group, suggesting the need for the development of multifaceted computerized CDSS.
Inter-Annotator Agreement and the Upper Limit on Machine Performance: Evidence from Biomedical Natural Language Processing
Authors: Boguslav Mayla  , Cohen Kevin Bretonnel
Published: February 2025

Human-annotated data is a fundamental part of natural language processing system development and evaluation. The quality of that data is typically assessed by calculating the agreement between the annotators. It is widely assumed that this agreement between annotators is the upper limit on system performance in natural language processing: if humans can't agree with each other about the classification more than some percentage of the time, we don't expect a computer to do any better. We trace the logical positivist roots of the motivation for measuring inter-annotator agreement, demonstrate the prevalence of the widely-held assumption about the relationship between inter-annotator agreement and system performance, and present data that suggest that inter-annotator agreement is not, in fact, an upper bound on language processing system performance.
Developing Visual Thinking in the Electronic Health Record
Authors: Boyd Andrew D.  , Young Christine D.  , Amatayakul Margret  , Dieter Michael G.  , Pawola Lawrence M.
Published: February 2025

The purpose of this vision paper is to identify how data visualization could transform healthcare. Electronic Health Records (EHRs) are maturing with new technology and tools being applied. Researchers are reaping the benefits of data visualization to better access compilations of EHR data for enhanced clinical research. Data visualization, while still primarily the domain of clinical researchers, is beginning to show promise for other stakeholders. A non-exhaustive review of the literature indicates that respective to the growth and development of the EHR, the maturity of data visualization in healthcare is in its infancy. Visual analytics has been only cursorily applied to healthcare. A fundamental issue contributing to fragmentation and poor coordination of healthcare delivery is that each member of the healthcare team, including patients, has a different view. Summarizing all of this care comprehensively for any member of the healthcare team is a “wickedly hard” visual analytics and data visualization problem to solve.
Automatic Identification of Glaucoma Using Deep Learning Methods
Authors: Cerentini Allan  , Welfer Daniel  , Cordeiro d'Ornellas Marcos  , Pereira Haygert Carlos Jesus  , Dotto Gustavo Nogara
Published: February 2025

This paper proposes an automatic classification method to detect glaucoma in fundus images. The method is based on training a neural network using public image databases. The network used in this paper is the GoogLeNet, adapted for this proposal. The methodology was divided into two stages, namely: (1) detection of the region of interest (ROI); (2) image classification. We first used a sliding-window approach combined with the GoogLeNet network. This network was trained using manually extracted ROIs and other fundus image structures. Afterwards, another GoogLeNet model was trained using the previous resulting images. Then those images were used to train another GoogLeNet model to automatically detect glaucoma. To prevent overfitting, data augmentation techniques were used on smaller databases. The results demonstrated that the network had a good accuracy, even with poor quality images found in some databases or generated by the data augmentation algorithm.
The Pluripotent Rendering of Clinical Data for Precision Medicine
Authors: Chute Christopher G.  , Huff Stanley M.
Published: February 2025

Health care and biomedical research are awash in data. Traditional data warehouse methodologies do not scale to this challenge; nor do their schema match the variety of analytic use cases. An alternative model, which shreds data into well-formed constituent data elements, conformant with the emerging CIMI-FHIR standards and stored together with the complete, raw, source data using modern and scalable data utilities such as Hadoop and its derivatives, affords the creation of pluripotent data repositories. Such repositories can be leveraged to generate any number of data marts, registries, and analytic data sets, each of which “just in time” binds an appropriate use-case specific data model. We call this notion PiCaRD: Pluripotent Clinical Repository of Data. We believe such nimble biomedical data management strategies are crucial for Precision Medicine discovery and application.
Visualizing Article Similarities via Sparsified Article Network and Map Projection for Systematic Reviews
Authors: Ji Xiaonan  , Machiraju Raghu  , Ritter Alan  , Yen Po-Yin
Published: February 2025

Systematic Reviews (SRs) of biomedical literature summarize evidence from high-quality studies to inform clinical decisions, but are time and labor intensive due to the large number of article collections. Article similarities established from textual features have been shown to assist in the identification of relevant articles, thus facilitating the article screening process efficiently. In this study, we visualized article similarities to extend its utilization in practical settings for SR researchers, aiming to promote human comprehension of article distributions and hidden patterns. To prompt an effective visualization in an interpretable, intuitive, and scalable way, we implemented a graph-based network visualization with three network sparsification approaches and a distance-based map projection via dimensionality reduction. We evaluated and compared three network sparsification approaches and the visualization types (article network vs. article map). We demonstrated the effectiveness in revealing article distribution and exhibiting clustering patterns of relevant articles with practical meanings for SRs.
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation
Authors: Liu Haifeng  , Li Xiang  , Xie Guotong  , Du Xin  , Zhang Ping  , Gu Chengming  , Hu Jingyi
Published: February 2025

Dividing patients into similar groups plays a significant role in implementing personalized care. Clinicians and researchers have been applying patient grouping techniques in disease phenotyping, risk stratification, and personalized medicine. However, the current approaches are either based on pure domain knowledge where the underlying patient similarity cannot be precisely quantified, or based on unsupervised clustering techniques which completely ignore the clinical context of measuring patient similarity. In the study, we propose an outcome-driven approach to identify clinically similar patients which are grouped together as a precision cohort. The approach quantitatively measures the similarity between patients in terms of a particular clinical outcome of interest, thus patients who have a similar clinical outcome tend to be grouped into the same group. We demonstrate the effectiveness of the approach in a real-world case study: from an atrial fibrillation patient cohort that is usually considered to be at high risk for ischemic stroke (IS), according to current clinical guidelines. Our approach successfully identified a precision cohort of patients with truly low risk of IS.