bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of eHealth and mHealth on doctor behavior and patient involvement: an Israeli and Portuguese comparative approach
Authors: Catan Gabriel  , Espanha Rita  , Veloso Mendes Rita  , Toren Orly  , Chinitz David
Published: February 2025

Based on the experience of a Short Term Scientific Mission (STSM) promoted by COST Net and developed in CIES/ISCTE-IUL (Portugal), this paper presents a reflection about the implementation of Information & Communication Technologies (ICT) in the healthcare sector in Israel and Portugal. Specifically, we focus on the impacts of ICT or eHealth on patient empowerment, as perceived by doctors and managers in order to better comprehend the role of national policy and explore the options for building a national strategy regarding ICT in healthcare.
Smartphone Serious Games for Vision and Hearing Assessment
Authors: Dias Pedro  , Aguiar Bruno  , Sousa Filipe  , Sousa Augusto
Published: February 2025

Falls are the second leading cause of accidental injury deaths worldwide. In this paper, it is intended to define methodologies that permit the evaluation of two potential factors which might have an impact on fall risk, these are: visual and hearing loss. The aim of the work developed is not to replace clinic visits, but to offer the user the means to continue the tracking of his vision and hearing at home, during the long time intervals between clinical tests. Tests conducted in a sample of our target users indicate a good ability to measure vision and hearing using an android smartphone and the proposed methodologies. While some tests require further validation, promising results were achieved in the most common tests for vision and hearing, presenting a good correlation between the system's results when compared to the traditional tests (for distance visual acuity) and the data gathered from the users (for hearing tests).
A Public Health Decision Support System Model Using Reasoning Methods
Authors: Mera Maritza  , González Carolina  , Blobel Bernd
Published: February 2025

Problem: Public health programs must be based on the real health needs of the population. However, the design of efficient and effective public health programs is subject to availability of information that can allow users to identify, at the right time, the health issues that require special attention.
Privacy Management and Networked PPD Systems – Challenges Solutions
Authors: Ruotsalainen Pekka  , Pharow Peter  , Petersen Francoise
Published: February 2025

Modern personal portable health devices (PPDs) become increasingly part of a larger, inhomogeneous information system. Information collected by sensors are stored and processed in global clouds. Services are often free of charge, but at the same time service providers' business model is based on the disclosure of users' intimate health information. Health data processed in PPD networks is not regulated by health care specific legislation. In PPD networks, there is no guarantee that stakeholders share same ethical principles with the user. Often service providers have own security and privacy policies and they rarely offer to the user possibilities to define own, or adapt existing privacy policies. This all raises huge ethical and privacy concerns. In this paper, the authors have analyzed privacy challenges in PPD networks from users' viewpoint using system modeling method and propose the principle “Personal Health Data under Personal Control” must generally be accepted at global level. Among possible implementation of this principle, the authors propose encryption, computer understandable privacy policies, and privacy labels or trust based privacy management methods. The latter can be realized using infrastructural trust calculation and monitoring service. A first step is to require the protection of personal health information and the principle proposed being internationally mandatory. This requires both regulatory and standardization activities, and the availability of open and certified software application which all service providers can implement. One of those applications should be the independent Trust verifier.
Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG
Authors: Kutafina Ekaterina  , Laukamp David  , Jonas Stephan M.
Published: February 2025

Lack of proper hand hygiene is a common source of hospital acquired infections. Training and evaluating efficiency in hand washing is therefore an important part of medical education. Here, we propose to use the Myo wearable armband to measure correctness of hand washing for mobile learning. Myo's sensors are designed in order to recognize the activity of the forearm, palm and fingers. Using signal processing and machine learning, the quality of the hand washing process can be estimated and used as evaluation in medical teaching. The project is in its initial phase, thus we present preliminary results and a vision of future development.
Evolutionary Optimization on the Multiple Point Manufacturing Problems of Multi-DOF Robots
Authors: Chen Chiu-Hung  , Huang Zheng-Wei  , Liu Tung-Kuan  , Chou Jyh-Horng
Published: February 2025

Multiple point manufacturing problems of multi-DOF robots involve a series of inverse solutions to be solved in the joint space. Along with the increment of the manufacturing points, the inverse problem becomes more complex. In particular, the convergence is poor if all the joint variables locating the vast manufacturing points are directly encoded in the evolutionary optimization method. Therefore, partial optimization methods combined with a specific solution flow are proposed for the solver in the paper. Because of the multimodal characteristics, this paper uses a niche method, the Twin-space Crowding (TSC) method, to cooperate with the genetic algorithm (GA) to avoid the evolutionary premature condition. In order to verify the solution capability, the experiments are set up to adopt two different approaches to explore the manufacturing manipulations of industry robots. From the result, the proposed bidirectional reference manipulation (BRM) approach performs much better compared to the point-by-point inverse approach.
The Robot Moving Control Method based the IMU of Smart Devices
Authors: Chen Kuo-Yi  , Chen Sheng-Hong  , Chen Fuh-Gwo
Published: February 2025

With the growing use of robots in the present day, such as elder caring, shopping helper and automatic production line, the issue of robot moving control is becoming a very important issue. In order to control a robot to move to a certain location, there is an important factor, the orientation of this robot, which has to be determined precisely. Thus the position of the robot can be estimated accurately. In general, the orientation of a robot is usually determined by individual electronic sensor devices, such as accelerometers and gyroscopes. However, this traditional approach leads to the following issues, such as complicated connection between the MCU and sensors, the requirement of the control bus and individual drivers, the need of calibration for each sensor; the lower sensor data fetch rate and difficult programming between the MCU and individual sensor. In order to improver there issues, the control method based the IMU of smart devices is proposed in this study. With the use of smart devices (such as Android and iOS mobile phones) which is already integrated with IMU sensors, such as accelerometers, gyroscopes, gravity and magnetic field sensors, the integration of sensors and the platform could have the significant improvement to the traditional individual approach. This proposed approach not only reduces the platform cost and the complexity of device drivers and connections, but also improves the convenience of robot control programming significantly.
Current-fed Maximum Power Point Tracking Control of Hybrid Wind Energy Conversion Systems
Authors: Chiu Chian-Song  , Shiao Chuan-Lin  , Lee Ya-Ting
Published: February 2025

The purpose of this paper is to design a wind power hybrid system and improve the efficiency of the wind energy conversion. Based on the introduced hybrid wind power system, the wind power generation system is taken as a controlled current source module to the load connected on a common DC bus. Under the hybrid structure, the output current is controlled to feed to the DC bus and to achieve maximum power point tracking (MPPT). In detail, the voltage of the DC bus is constructed by a high step-up boost DC-DC converter with a battery. Meanwhile, the high step-up boost converter of the wind energy conversion subsystem is connected to the DC bus via the fractional-order PID current control. Based on the accurate current control, the current-fed MPPT scheme is realized for the hybrid structured system. Finally, the experiments are carried out and show the expected performance.
The Feature Selection with Multi-Granulation for Interval-Value Data
Authors: Hsiao Chih-Ching  , Chuang Chen-Chia  , Jeng Jin-Tsong  , Su Shun-Feng
Published: February 2025

In this paper, the feature selection algorithm with multi-granulation is proposed for symbolic interval-value data. A subset of a data set can be considered as a small granularity. Given a large-scale data set, the algorithm first selects different small granularities and then estimate on each small granularity the reduct of the original data set. Furthemore, it will introduce IT2 into hybrid fuzzy-rough QuickReduct algorithm to deal with interval-value data. Consequently, the algorithm will includes lower and upper dependency functions, lower and upper uncertainty degrees simultaneous. The “weighted” concept is not only enhance prior knowledge (important attribute), and also reduce unknown information effect. Fusing all of the estimates on small granularities together, the algorithm can get an approximate reduct.
AAL Service Development Loom – From the Idea to a Marketable Business Model
Authors: Kriegel Johannes  , Auinger Klemens
Published: February 2025

The Ambient Assisted Living (AAL) market is still in an early stage of development. Previous approaches of comprehensive AAL services are mostly supply-side driven and focused on hardware and software. Usually this type of AAL solutions does not lead to a sustainable success on the market. Research and development increasingly focuses on demand and customer requirements in addition to the social and legal framework. The question is: How can a systematic performance measurement strategy along a service development process support the market-ready design of a concrete business model for AAL service? Within the EU funded research project DALIA (Assistant for Daily Life Activities at Home) an iterative service development process uses an adapted Osterwalder business model canvas. The application of a performance measurement index (PMI) to support the process has been developed and tested. Development of an iterative service development model using a supporting PMI. The PMI framework is developed throughout the engineering of a virtual assistant (AVATAR) as a modular interface to connect informal carers with necessary and useful services. Future research should seek to ensure that the PMI enables meaningful transparency regarding targeting (e.g. innovative AAL service), design (e.g. functional hybrid AAL service) and implementation (e.g. marketable AAL support services). To this end, a further reference to further testing practices is required. The aim must be to develop a weighted PMI in the context of further research, which supports both the service engineering and the subsequent service management process.
A Nursing Intelligence System to Support Secondary Use of Nursing Routine Data
Authors: Hackl Werner O.  , Rauchegger Franz  , Ammenwerth Elske
Published: February 2025

Background: Nursing care is facing exponential growth of information from nursing documentation. This amount of electronically available data collected routinely opens up new opportunities for secondary use.
Development of Text Mining Based Classification of Written Communication within a Telemedical Collaborative Network
Authors: Gruber Katharina  , Modre-Osprian Robert  , Kreiner Karl  , Kastner Peter  , Schreier Günter
Published: February 2025

Chronic diseases like Heart Failure are widespread in the ageing population. Affected patients can be treated with the aid of a disease management program, including a telemedical collaborative network. Evaluation of a currently used system has shown that the information of the textual communication is of pivotal importance for the collaboration in the network. Thus, the challenge is to make this unstructured information useable, potentially leading to a better understanding of the collaboration so as to optimize the processes. This paper presents the setup of an analysis pipeline for processing textual information automatically, and, how this pipeline can be utilized to train a model that is able to automatically classify the written messages into a set of meaningful task and status categories.
Data Warehouse Design from HL7 Clinical Document Architecture Schema
Authors: Pecoraro Fabrizio  , Luzi Daniela  , Ricci Fabrizio L.
Published: February 2025

This paper proposes a semi-automatic approach to extract clinical information structured in a HL7 Clinical Document Architecture (CDA) and transform it in a data warehouse dimensional model schema. It is based on a conceptual framework published in a previous work that maps the dimensional model primitives with CDA elements. Its feasibility is demonstrated providing a case study based on the analysis of vital signs gathered during laboratory tests.
eHealth in Saudi Arabia: Current Trends, Challenges and Recommendations
Authors: Alsulame Khaled  , Khalifa Mohamed  , Househ Mowafa
Published: February 2025

The purpose of this study is to explore the current status of eHealth in Saudi Arabia from the perspective of health informatics professionals. We used a case study approach and analyzed participant data using thematic analysis. The study took place between July and August 2013. Data collection included interviews with nine senior health information professionals in Saudi Arabia. The findings describe participant views on current eHealth trends in Saudi Arabia and show differences among Saudi healthcare organizations in terms of eHealth adoption. Participants also describe the challenges relating to organizational and cultural issues, end user attitudes towards eHealth projects, and the lack of specialized human resources to implement eHealth systems. Two main recommendations made by the participants were to form a new national body for eHealth and to develop a unified plan for the implementation of Saudi eHealth initiatives.
A Social Media Campaign to Promote Breastfeeding among Saudi Women: A Web-based Survey Study
Authors: Bahkali Salwa  , Alkharjy Nora  , Alowairdy Maryam  , Househ Mowafa  , Da'ar Omar  , Alsurimi Khaled
Published: February 2025

Prolonged breastfeeding can prevent or limit the severity of a variety of diseases and conditions. Although evidence clearly shows that there are health benefits for breastfeeding, adherence to breastfeeding remains a key challenge facing maternal health providers in Saudi Arabia. The purpose of this study is to evaluate the impacts of a social media platform (Twitter) to promote breastfeeding in Saudi Arabia. Between February 10 and March 25, 2015, a web-based questionnaire was administered to evaluate the impacts of a Twitter based educational campaign on the awareness, knowledge, and adherence to breastfeeding behavior for women in Saudi Arabia. The overall response rate among mothers with a newborn child was 83% (n=484). The results showed an increase in the knowledge and awareness of breastfeeding practices and adherence among Twitter followers. The initiation rate of breastfeeding had slightly increased among women who never had previously breastfed. More women reported their willingness to continue exclusive breastfeeding and to stop bottle-feeding. Results also show that an integration of professional breastfeeding support, public health education programs through social media could be an effective tool in promoting breastfeeding in Saudi Arabia. There is a need for further research on designing and implementing a social media based educational outreach program to increase women's awareness, knowledge, and adherence to breastfeeding behavior in Saudi Arabia.
Measuring Data Quality Through a Source Data Verification Audit in a Clinical Research Setting
Authors: Houston Lauren  , Probst Yasmine  , Humphries Allison
Published: February 2025

Health data has long been scrutinised in relation to data quality and integrity problems. Currently, no internationally accepted or “gold standard” method exists measuring data quality and error rates within datasets. We conducted a source data verification (SDV) audit on a prospective clinical trial dataset. An audit plan was applied to conduct 100% manual verification checks on a 10% random sample of participant files. A quality assurance rule was developed, whereby if >5% of data variables were incorrect a second 10% random sample would be extracted from the trial data set. Error was coded: correct, incorrect (valid or invalid), not recorded or not entered. Audit-1 had a total error of 33% and audit-2 36%. The physiological section was the only audit section to have <5% error. Data not recorded to case report forms had the greatest impact on error calculations. A significant association (p=0.00) was found between audit-1 and audit-2 and whether or not data was deemed correct or incorrect. Our study developed a straightforward method to perform a SDV audit. An audit rule was identified and error coding was implemented. Findings demonstrate that monitoring data quality by a SDV audit can identify data quality and integrity issues within clinical research settings allowing quality improvement to be made. The authors suggest this approach be implemented for future research.
Improving Video Based Heart Rate Monitoring
Authors: Lin Jian  , Rozado David  , Duenser Andreas
Published: February 2025

Non-contact measurements of cardiac pulse can provide robust measurement of heart rate (HR) without the annoyance of attaching electrodes to the body. In this paper we explore a novel and reliable method to carry out video-based HR estimation and propose various performance improvement over existing approaches. The investigated method uses Independent Component Analysis (ICA) to detect the underlying HR signal from a mixed source signal present in the RGB channels of the image. The original ICA algorithm was implemented and several modifications were explored in order to determine which one could be optimal for accurate HR estimation. Using statistical analysis, we compared the cardiac pulse rate estimation from the different methods under comparison on the extracted videos to a commercially available oximeter. We found that some of these methods are quite effective and efficient in terms of improving accuracy and latency of the system. We have made the code of our algorithms openly available to the scientific community so that other researchers can explore how to integrate video-based HR monitoring in novel health technology applications. We conclude by noting that recent advances in video-based HR monitoring permit computers to be aware of a user's psychophysiological status in real time.
Health Informatics and E-health Curriculum for Clinical Health Profession Degrees
Authors: Gray Kathleen  , Choo Dawn  , Butler-Henderson Kerryn  , Whetton Sue  , Maeder Anthony
Published: February 2025

The project reported in this paper models a new approach to making health informatics and e-health education widely available to students in a range of Australian clinical health profession degrees. The development of a Masters level subject uses design-based research to apply educational quality assurance practices which are consistent with university qualification frameworks, and with clinical health profession education standards; at the same time it gives recognition to health informatics as a specialised profession in its own right. The paper presents details of (a) design with reference to the Australian Qualifications Framework and CHIA competencies, (b) peer review within a three-university teaching team, (c) external review by experts from the professions, (d) cross-institutional interprofessional online learning, (e) methods for evaluating student learning experiences and outcomes, and (f) mechanisms for making the curriculum openly available to interested parties. The project has sought and found demand among clinical health professionals for formal health informatics and e-health education that is designed for them. It has helped the educators and organisations involved to understand the need for nuanced and complementary health informatics educational offerings in Australian universities. These insights may aid in further efforts to address substantive and systemic challenges that clinical informatics faces in Australia.
Ontology-Driven Semantic Search for Brazilian Portuguese Clinical Notes
Authors: Hasan Sadid A.  , Zhu Xianshu  , Liu Joey  , Barra Claudia M.  , Oliveira Lucas  , Farri Oladimeji
Published: February 2025

The emerging penetration of Health IT in Latin America (especially in Brazil) has exacerbated the ever-increasing amount of Electronic Health Record (EHR) clinical free text documents.This imposes a workflow efficiency challenge on clinicians who need to synthesize such documents during the typically time-constrained patient care. We propose an ontology-driven semantic search framework that effectively supports clinicians' information synthesis at the point of care.
3D Printed Models and Navigation for Skull Base Surgery: Case Report and Virtual Validation.
Authors: Ritacco Lucas E.  , Di Lella Federico  , Mancino Axel  , Gonzalez Bernaldo de Quiros Fernan  , Boccio Carlos  , Milano Federico E.
Published: February 2025

In recent years, computer-assisted surgery tools have become more versatile. Having access to a 3D printed model expands the possibility for surgeons to practice with the particular anatomy of a patient before surgery and improve their skills. Optical navigation is capable of guiding a surgeon according to a previously defined plan. These methods improve accuracy and safety at the moment of executing the operation. We intend to carry on a validation process for computed-assisted tools. The aim of this project is to propose a comparative validation method to enable physicians to evaluate differences between a virtual planned approach trajectory and a real executed course. Summarily, this project is focused on decoding data in order to obtain numerical values so as to establish the quality of surgical procedures.
Rule-based Cervical Spine Defect Classification Using Medical Narratives
Authors: Deng Yihan  , Groll Mathias Jacob  , Denecke Kerstin
Published: February 2025

Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process requires evidence from patient records. Further, the degree of a defect needs to be encoded in a standardized from to facilitate data exchange and multimodal interoperability. In this paper, a concept for automatic defect classification based on information extracted from textual data of patient records is presented. In a retrospective study, the classifier is applied to clinical documents and the classification results are evaluated.
Improving Hospital-wide Patient Scheduling Decisions by Clinical Pathway Mining
Authors: Gartner Daniel  , Arnolds Ines V.  , Nickel Stefan
Published: February 2025

Recent research has highlighted the need for solving hospital-wide patient scheduling problems. Inpatient scheduling, patient activities have to be scheduled on scarce hospital resources such that temporal relations between activities (e.g. for recovery times) are ensured. Common objectives are, among others, the minimization of the length of stay (LOS). In this paper, we consider a hospital-wide patient scheduling problem with LOS minimization based on uncertain clinical pathways. We approach the problem in three stages: First, we learn most likely clinical pathways using a sequential pattern mining approach. Second, we provide a mathematical model for patient scheduling and finally, we combine the two approaches. In an experimental study carried out using real-world data, we show that our approach outperforms baseline approaches on two metrics.
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches
Authors: Kasthurirathne Suranga Nath  , Dixon Brian E.  , Grannis Shaun J.
Published: February 2025

Automated detection methods can address delays and incompleteness in cancer case reporting. Existing automated efforts are largely dependent on complex dictionaries and coded data. Using a gold standard of manually reviewed pathology reports, we evaluated the performance of alternative input formats and decision models on a convenience sample of free-text pathology reports. Results showed that the input format significantly impacted performance, and specific algorithms yielded better results for presicion, recall and accuracy. We conclude that our approach is sufficiently accurate for practical purposes and represents a generalized process.
A Metadata based Knowledge Discovery Methodology for Seeding Translational Research
Authors: Kothari Cartik R.  , Payne Philip R.O.
Published: February 2025

In this paper, we present a semantic, metadata based knowledge discovery methodology for identifying teams of researchers from diverse backgrounds who can collaborate on interdisciplinary research projects: projects in areas that have been identified as high-impact areas at The Ohio State University. This methodology involves the semantic annotation of keywords and the postulation of semantic metrics to improve the efficiency of the path exploration algorithm as well as to rank the results. Results indicate that our methodology can discover groups of experts from diverse areas who can collaborate on translational research projects
Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data
Authors: Tao Cui  , Du Jingcheng  , Cai Yi  , Chen Yong
Published: February 2025

We studied serious reports following influnza vaccine from VAERS database in year 2011. Our statistical analyses revealed differences of reactions among different age groups and between genders. The results may lead to additional studies to uncover factors contributing to the individual differences in susceptibility to influenza infection.
ICHI Categorial Structure: a WHO-FIC Tool for Semantic Interoperability of Procedures Classifications
Authors: Aljunid Syed M.  , Rodrigues Jean Marie  , Best Linda  , Ahmed Zafar  , Reeza Mustaffa Hasrul  , Trombert Béatrice  , Hamzah Aljunid Syed M.  , Souvignet Julien  , Kim Sukil
Published: February 2025

Casemix grouping using procedures classifications has become an important use case for health care terminologies. There are so many different national procedures classifications used for Casemix grouping that it is not possible to agree on a worldwide standard. ICHI (International Classification of Health Interventions) is proposing an approach that standardises only the terminologies' model structure. The poster shows the use of the ICHI alpha to replace ICD9 CM Volume 3 in the UNU-CBG International Casemix grouper.
A Pilot Study on Modeling of Diagnostic Criteria Using OWL and SWRL
Authors: Hong Na  , Jiang Guoqian  , Pathak Jyotishiman  , Chute Christopher G.
Published: February 2025

The objective of this study is to describe our efforts in a pilot study on modeling diagnostic criteria using a Semantic Web-based approach. We reused the basic framework of the ICD-11 content model and refined it into an operational model in the Web Ontology Language (OWL). The refinement is based on a bottom-up analysis method, in which we analyzed data elements (including value sets) in a collection (n=20) of randomly selected diagnostic criteria. We also performed a case study to formalize rule logic in the diagnostic criteria of metabolic syndrome using the Semantic Web Rule Language (SWRL). The results demonstrated that it is feasible to use OWL and SWRL to formalize the diagnostic criteria knowledge, and to execute the rules through reasoning.
Representation of Biomedical Expertise in Ontologies: a Case Study about Knowledge Acquisition on HTLV viruses and their clinical manifestations
Authors: Cardoso Coelho Kátia  , Barcellos Almeida Maurício
Published: February 2025

In this paper, we introduce a set of methodological steps for knowledge acquisition applied to the organization of biomedical information through ontologies. Those steps are tested in a real case involving Human T Cell Lymphotropic Virus (HTLV), which causes myriad infectious diseases. We hope to contribute to providing suitable knowledge representation of scientific domains.
A software tool to analyze clinical workflows from direct observations
Authors: Schweitzer Marco  , Lasierra Nelia  , Hoerbst Alexander
Published: February 2025

Observational data of clinical processes need to be managed in a convenient way, so that process information is reliable, valid and viable for further analysis. However, existing tools for allocating observations fail in systematic data collection of specific workflow recordings. We present a software tool which was developed to facilitate the analysis of clinical process observations. The tool was successfully used in the project OntoHealth, to build, store and analyze observations of diabetes routine consultations.
Knowledge-based immunosuppressive therapy for kidney transplant patients – from theoretical model to clinical integration
Authors: Seeling Walter  , Plischke Max  , de Bruin Jeroen S.  , Schuh Christian
Published: February 2025

Immunosuppressive therapy is a risky necessity after a patient received a kidney transplant. To reduce risks, a knowledge-based system was developed that determines the right dosage of the immunosuppresive agent Tacrolimus. A theoretical model, to classify medication blood levels as well as medication adaptions, was created using data from almost 500 patients, and over 13.000 examinations. This model was then translated into an Arden Syntax knowledge base, and integrated directly into the hospital information system of the Vienna General Hospital. In this paper we give an overview of the construction and integration of such a system.
Towards Improving Hypertensive Patients Care: Pervasive Monitoring and Diagnosis Support
Authors: Céspedes Jorge  , Villalba Cynthia
Published: February 2025

Hypertension is the most common chronic condition dealt with by primary care physicians and other health practitioners. It usually has no symptoms, causing a delay in diagnosis. Moreover, around 20% of the global population suffers from “white-coat syndrome”, which can lead to misdiagnosing hypertension. When diagnosed, patients find it difficult to constantly monitor their blood pressure to ensure it is within acceptable levels. In this work, we propose a pervasive solution model for ambulatory monitoring of hypertensive patients and for supporting a clinician with the task of diagnosing hypertension. It contributes to the selection of attributes and techniques for assisting hypertension diagnosis, and also to an implementation which dynamically adjusts itself to each patient's average blood pressure.
Micro- and Macrointegration Profiles for Medical Devices and Medical IT Systems
Authors: Pahontu Raluca  , Merzweiler Angela  , Schneider Gerd  , Bergh Björn
Published: February 2025

Collecting, saving, and providing patient data are essential processes of documentation in a hospital. Many IT systems have evolved to provide solutions in this area. The automatic transfer of medical device data to these information systems is a new challenge for hospital IT systems. Some vendors are focused on the integration of medical IT systems and medical devices. They provide great solutions with magnificent features. Nevertheless, those integration solutions are proprietary and isolated, limiting the operator's selection of his medical devices and medical IT systems. Standardizing communication processes within the operating room and between medical devices and medical IT systems brings benefits for both patient and hospital staff. This work identifies and proposes micro- and macrointegration profiles as a basis for new IHE Integration Profiles for both medical IT systems and medical devices of the operating room.
Use of a Proven Framework for Computer Decision Support within the Intermountain Healthcare Network
Authors: Evans R. Scott  , Lloyd James F.  , Johnson Kyle V.  , Howe Stephen  , Tripp Jacob S.
Published: February 2025

Hospitalized patients in the U.S. do not always receive optimal care. In light of this, Computerized Decision Support (CDS) has been recommended to for the improvement of patient care. A number of methodologies, standards, and frameworks have been developed to facilitate the development and interoperability of computerized clinical guidelines and CDS logic. In addition, Health Information Exchange using Service-Oriented Architecture holds some promise to help realize that goal. We have used a framework at Intermountain Healthcare that employs familiar programming languages and technology to develop over 40 CDS applications during the past 13 years, which clinicians are dependent on each day. This paper describes the framework, technology, and CDS application development methods, while providing three distinct examples of applications that illustrate the need and use of the framework for patient care improvement. The main limitation of this framework is its dependence on point-to-point interfaces to access patient data. We look forward to the use of validated and accessible Service-Oriented Architecture to facilitate patient data access across diverse databases.
Advances In Infection Surveillance and Clinical Decision Support With Fuzzy Sets and Fuzzy Logic
Authors: Koller Walter  , de Bruin Jeroen S.  , Rappelsberger Andrea  , Adlassnig Klaus-Peter
Published: February 2025

By the use of extended intelligent information technology tools for fully automated healthcare-associated infection (HAI) surveillance, clinicians can be informed and alerted about the emergence of infection-related conditions in their patients. Moni–a system for monitoring nosocomial infections in intensive care units for adult and neonatal patients–employs knowledge bases that were written with extensive use of fuzzy sets and fuzzy logic, allowing the inherent un-sharpness of clinical terms and the inherent uncertainty of clinical conclusions to be a part of Moni's output. Thus, linguistic as well as propositional uncertainty became a part of Moni, which can now report retrospectively on HAIs according to traditional crisp HAI surveillance definitions, as well as support clinical bedside work by more complex crisp and fuzzy alerts and reminders. This improved approach can bridge the gap between classical retrospective surveillance of HAIs and ongoing prospective clinical-decision-oriented HAI support.
Clinical Informatics Board Specialty Certification for Physicians: A Global View
Authors: Gundlapalli Adi V.  , Gundlapalli Aditya V.  , Greaves William W.  , Kesler Denece  , Murray Peter  , Safran Charles  , Lehmann Christoph U.
Published: February 2025

Clinical informatics workforce development is a high priority for medicine. Professional board certification for physicians is an important tool to demonstrating excellence. The recent recognition of clinical informatics as a subspecialty board in the U.S. has generated interest and excitement among the U.S. informatics community. To determine the extent of similar programs in countries around the world, we performed literature searches with relevant keywords and internet searches of websites of informatics societies around the world for mentions or descriptions of certifications and reviewed publicly available sources. The U.S. certification was prominent in the recent published literature. Germany and Belgium have long-standing certifications with South Korea and Sri Lanka considering similar programs. This is the first global view of clinical informatics board certification for physicians. Training and certification for non-physician informatics professionals in allied areas are widespread. Official recognition and certification for physicians and all informatics professionals represents a key component of capacity building and a means of addressing the shortage of a skilled informatics workforce. Wider adoption of certification programs may further attracting talent and accelerate growth of the field.
ePoint.telemed – An Open Web-based Platform for Home Monitoring of Patients with Chronic Heart Failure
Authors: Holthe Halgeir  , Serrano J. Artur
Published: February 2025

In North Norway, no telemonitoring services for chronic heart failure (CHF) have yet been established, hence no investigations in the area have been published. However, large distances and a sparse population are causes for extra expenditure on hospital visits. In this paper, we describe the ePoint.telemed platform for home telemonitoring of CHF patients. We have reviewed the literature on home monitoring techniques, and developed two prototype platforms for remote collection of physiological data. We have refined one of the prototypes and subjected it to user testing among health professionals and their clients. Fifty patients will be involved in a randomized controlled trial aiming to establish if the home telemonitoring of CHF is clinically feasible and cost-effective. The ePoint.telemed platform is a fully automated internet based system meant for early warnings in a CHF rehabilitation program. The core of the platform is a dashboard connected to a blood pressure meter, a weight scale, and a web-based patient questionnaire. Unlike traditional systems built on dedicated medical equipment, we are applying easy-to-use components geared towards the sports market.
Mobile App to Reduce Inactivity in Sedentary Overweight Women
Authors: Finkelstein Joseph  , Bedra McKenzie  , Li Xuan  , Wood Jeffrey  , Ouyang Pamela
Published: February 2025

Recent studies demonstrated that the duration of inactivity (sedentary state) is independently associated with increased risk of cardiovascular disease. Our goal was to develop the technology that can measure the amount of inactivity in real time, remind a person that a preprogrammed period of inactivity has occurred and encourage a period of activity, and provide web-based feedback with tailored information to the participant and investigators. Once it was developed, we carried out a pilot study in a group of sedentary overweight women. The objective of the study was to assess potential of the mobile app to reduce inactivity in our target population. A randomized crossover design was employed with study subjects randomly assigned to a 4-week each “message-on” and “message-off” periods. Out of 30 enrolled subjects, 27 completed the study. The average age of particpants was 52±12; BMI: 37±6; 47% were white and 47% were African American. Overall, inactivity was significantly lower (p<0.02) during “message-on” periods (24.6%) as compared to the “message-off” periods (30.4%). We conluded that mobile app monitoring inactivity and providing a real-time notification when inactivity period exceeds healthy limits was able to significantly reduce inactivity periods in overweight sedentary women.
Impact of a mobile health aplication in the nursing care plan compliance of a home care service in Belo Horizonte, Minas Gerais, Brazil
Authors: de Britto Felipe A.  , Martins Tatiana B.  , Landsberg Gustavo A.P.
Published: February 2025

Objective: To assess impact of a mobile health solution in the nursing care plan compliance of a home care service. Methods: A retrospective cohort study was performed with 3,036 patients. Compliance rates before and after the implementation were compared. Results: After the implementation of a mobile health aplication, compliance with the nursing care plan increased from 53% to 94%. The system reduced IT spending, increased the nursing team efficiency and prevented planned hiring. Conclusion: The use of a mobile health solution with geolocating feature by a nursing home care team increased compliance to the care plan.
Study of Development for RFID System to Hospital Environment
Authors: Hong Seung Kwon  , Sung Myung-Whun
Published: February 2025

RFID/USN develops information systems for anytime, anywhere to anybody access Electronic Medical Records (EMR). The goal of the present study is to develop a RFID/USN-based information system for the hospital environment. First, unable to recognize, second, able to recognize as a pursuit of place and suppose the time of medical examination. A retrospective analysis of 235 RFID monitoring results, from four ENT ambulatory clinics of Seoul National University Hospital were extracted by a reader program and monitoring of RFID tag (2006.11.16~2006.12.16). RFID detection for sensing reader of this study has been put into representing “place” and “spending time” of patients for medical history taking and examination. Through the RFID of detection for specific place and spending time of medical examination, RFID/USN develops information system progressing in the EMR of hospital system.
Rolling Medical Practice: Ambulant Mobile Medical Care for Rural Areas
Authors: Schwartze Jonas  , Wolf Klaus-Hendrik  , Schulz Sebastian  , Rochon Maike  , Wagner Markus  , Bannenberg Uwe  , Drews Markus  , Fischer Thomas  , Hellwig Torben  , Hofmann Stefan  , Höft-Budde Petra  , Jäger Ralf  , Lorenz Stefan  , Naumann Ruth  , Plischke Maik  , Reytarowski Jörg  , Richter Constanze  , Steinbrügge Christiana  , Ziegenspeck Anja  , von Ingelheim Julius  , Haux Reinhold
Published: February 2025

We designed, constructed, and evaluated a mobile medical care vehicle called “Rollende Arztpraxis” (rolling medical practice, RMP) that delivers the full medical care of a general practitioner to increase medical care supply in rural areas. Six communities have been identified, where the RMP has been visited 501 times in 14 months. Two different schedules of stops and treatment times have been tested. We show that the RMP treated mainly elderly and multimorbid patients. An accompanying study showed high acceptance and satisfaction of treated patients and treating doctors. An economic evaluation of three different utilization models with three treatment modes each showed no financial sustainability. We show that ambulatory care in rural areas can be complemented by a mobile care unit, if legal and financial barriers can be overcome.
Taming the Data Quality Dragon – A Theory and Method for Data Quality by Design
Authors: Weber Jens H.  , Price Morgan  , Davies Iryna
Published: February 2025

A lack of data quality (DQ) is often a significant inhibitor impeding the realization of cost and quality benefits expected from Clinical Information Systems (CIS). Attaining and sustaining DQ in CIS has been a multi-faceted and elusive goal. The current literature on DQ in health informatics mainly consists of empirical studies and practitioners' reports, but often lack a holistic approach to addressing DQ ‘by design’. This paper seeks to present a general framework for clinical DQ, which blends foundational engineering theories with concepts and methods from health informatics. We define an architectural viewpoint for designing and reasoning about DQ. We introduce the notion of DQ Probes for monitoring and assuring DQ during system operation. The concepts presented have been validated in a real-world case study.
A Medical Image Backup Architecture Based on a NoSQL Database and Cloud Computing Services
Authors: Santos Simões de Almeida Luan Henrique  , Costa Oliveira Marcelo
Published: February 2025

The use of digital systems for storing medical images generates a huge volume of data. Digital images are commonly stored and managed on a Picture Archiving and Communication System (PACS), under the DICOM standard. However, PACS is limited because it is strongly dependent on the server's physical space. Alternatively, Cloud Computing arises as an extensive, low cost, and reconfigurable resource. However, medical images contain patient information that can not be made available in a public cloud. Therefore, a mechanism to anonymize these images is needed. This poster presents a solution for this issue by taking digital images from PACS, converting the information contained in each image file to a NoSQL database, and using cloud computing to store digital images.
Characterizing Consumer Health Informatics in Low and Middle Income Countries
Authors: Kutun Tugba  , Föller-Nord Miriam  , Wetter Thomas
Published: February 2025

Consumer Health Informatics (ConsHI) involves patients in health care through ICT, with Low and Middle Income Countries recently entering the field. Compelling successes and complete failures call for the identification of success factors. Of 1092 automatically retrieved articles, 85 were classified as ConsHI. Their service characteristics and the economic and societal factors of the countries of origin were classified. Descriptive statistics were applied in the search for clusters of features that together appear as driving factors. Most factors (financial endowment, number of languages spoken etc) showed no or paradoxical effects. Societal maturity and low population density appear as enabling factors.
Cardiac auscultation simulator embedded in virtual learning environment to support medical teaching
Authors: Oliveira Isaias  , Reis Zilma Silveira N.  , Araújo Marilene M.  , Freire Claudia Maria V.
Published: February 2025

Heart auscultation remains as an important clinical tool in heart disease diagnostics. A prototype was developed, using an existing database of clinical and cardiac sounds of pregnant women [1]. The context for virtual learning is cardiac disease during pregnancy (Partum and Post Partum situations). Based on real histories, cardiac sounds, and complementary exams, this pilot presents the most frequent diagnosis of cardiac diseases during pregnancy.
Global Challenges in People-Centered E-Health
Authors: Quintana Yuri  , Safran Charles
Published: February 2025

People-centered health care seeks an active role for the patient while empowering all other members of the health care team. By promoting greater patient responsibility and optimal usage, patient-centered health care leads to improved health outcomes, quality of life and optimal value for health care investment. This paper reviews some definitions of people-centered health care and various e-health approaches around the world used to implement this vision. The barriers and enablers to implementation this type of approach are explored. This paper provides a proposed research agenda for future implementations of people-centered e-health.
Use of Patient Portals: Personal Health Information Management in Older Adults
Authors: Turner Anne  , Osterhage Katie  , Joe Jonathan  , Hartzler Andrea  , Lin Lorelei  , Demiris George
Published: February 2025

The personal health information management (PHIM) of older adults is poorly understood. We describe initial results from the SOARING (Studying Older Adults & Researching Information Needs and Goals) study at the University of Washington, a particpatory design investigation of PHIM in older adults. We conducted in-depth interviews with older adults (n=71) living in a variety of residential settings. A surprising 21% of participants reported using patient portals. Another 17% of participants reported prior use or anticipated use of portals in the future. We identified preferences and needs as well as barriers and facilitators to portal use. Our findings indicate that patient portals designed to target the specific needs for older adults can suport PHIM. We offer recommendations for expanded research.