bluuebunny/crossref_metadata_2025 huggingface dataset:
Automated Image Retrieval of Chest CT Images Based on Local Grey Scale Invariant Features
Authors: Arrais Porto Marcelo  , Cordeiro d'Ornellas Marcos
Published: February 2025

Textual-based tools are regularly employed to retrieve medical images for reading and interpretation using current retrieval Picture Archiving and Communication Systems (PACS) but pose some drawbacks. All-purpose content-based image retrieval (CBIR) systems are limited when dealing with medical images and do not fit well into PACS workflow and clinical practice. This paper presents an automated image retrieval approach for chest CT images based local grey scale invariant features from a local database. Performance was measured in terms of precision and recall, average retrieval precision (ARP), and average retrieval rate (ARR). Preliminary results have shown the effectiveness of the proposed approach. The prototype is also a useful tool for radiology research and education, providing valuable information to the medical and broader healthcare community.
On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps
Authors: Dagliati Arianna  , Marinoni Andrea  , Cerra Carlo  , Gamba Paolo  , Bellazzi Riccardo
Published: February 2025

This work presents an analysis framework enabling the integration of a clinical-administrative dataset of Type 2 Diabetes (T2D) patients with environmental information derived from air quality maps acquired from remote sensing data. The research has been performed within the EU project MOSAIC, which gathers T2D patients' data coming from Fondazione S. Maugeri (FSM) hospital and the Pavia local health care agency (ASL). The proposed analysis is aimed to highlight the complexity of the domain, showing the different perspectives that can be adopted when applying a data-driven approach to large variety of temporal, geo-localized data. We investigated a set of 899 patients, located in the Pavia area, and detected several patterns depicting how clinical facts and air pollution variations may be related.
Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing
Authors: Liang Chen  , Sun Jingchun  , Tao Cui
Published: February 2025

There remain significant difficulties selecting probable candidate drugs from existing databases. We describe an ontology-oriented approach to represent the nexus between genes, drugs, phenotypes, symptoms, and diseases from multiple information sources. We also report a case study in which we attempted to explore candidate drugs effective for bipolar disorder and epilepsy. We constructed an ontology incorporating knowledge between the two diseases and performed semantic reasoning tasks with the ontology. The results suggested 48 candidate drugs that hold promise for further breakthrough. The evaluation demonstrated the validity our approach. Our approach prioritizes the candidate drugs that have potential associations among genes, phenotypes and symptoms, and thus facilitates the data integration and drug repurposing in psychiatric disorders.
Data Curation: Improving Environmental Health Data Quality
Authors: Yang Lin  , Li Jiao  , Hou Li  , Qian Qing
Published: February 2025

With the growing recognition of the influence of climate change on human health, scientists' attention to analyzing the relationship between meteorological factors and adverse health effects. However, the paucity of high quality integrated data is one of the great challenges, especially when scientific studies rely on data-intensive computing. This paper aims to design an appropriate curation process to address this problem. We present a data curation workflow that: (i) follows the guidance of DCC Curation Lifecycle Model; (ii) combines manual curation with automatic curation; (iii) and solves environmental health data curation problem. The workflow was applied to a medical knowledge service system and showed that it was capable of improving work efficiency and data quality.
“Quartile” screening method to analyze the relationship between HIS and “AEROS” in Japan
Authors: Hoshino Takayuki  , Matsubara Nozomu  , Ueda Teruko  , Hirayama Yuichi  , Hoshino Ayami  , Takaoka Shiho
Published: February 2025

Atmospheric pollution affects the health through complex mechanisms and to varying degrees. However, even by secondary usage of retrospective HIS and “AEROS” data, screening can be performed for specific ICD10 diseases caused by environmental factors. Our screening method showed good agreement with doctors' common knowledge on the relationship between atmospheric data and disease. Examples include the higher incidence of influenza at low temperatures and dry skin caused by low humidity, etc. We need to examine the method further in order to make it simpler, easier and more robust.
Kmer-indexer: A Fast K-mer Indexing Program
Authors: Xiaolei Wang  , Wubin Qu  , Chenggang Zhang  , Dongsheng Zhao
Published: February 2025

In our previous work, a k-mer based program named MFEprimer-2.0 was designed and developed for primer specificity evaluation task. In order to increase the index processing speed, decrease the index data size and memory usage, we developed a new program named kmer-indexer. Compared to MFEprimer-2.0, the processing speed of kmer-indexer is 10+ times faster, the index data size can be significantly reduced to one third, and the memory usage is controlled within a small range so that this program can run on an ordinary PC.
Textual Definitions in the Leukemia Domain: Methodological Guidelines for Biomedical Ontologies
Authors: Damasceno de Souza Amanda  , Barcellos Almeida Maurício
Published: February 2025

The goal of our study is to establish methodological guidelines for the formulation of definitions in biomedical ontologies thatare not so common in the field of Library & Information Science.
Evaluating a Hierarchical Clinical Event Linkage Model for Clinic-Specific Databases
Authors: Liu Justin  , Truong Tran
Published: February 2025

A relational database model is presented that stores the hierarchical linkages between clinical events with qualifier codes, such that the explicit contextual meaning of an event's attributes is preserved upon retrieval. A retrospective analysis of 302 forms built upon the model showed that 91% of 17,899 data elements requested by clinicians and researchers from 19 clinics were successfully represented, but that 62% were never used more than once. These results reinforce the specificity of clinic-specific databases and the need for unambiguous, explicitly-stored clinical data.
Real-time Data Fusion Platforms: The Need of Multi-dimensional Data-driven Research in Biomedical Informatics
Authors: Raje Satyajeet  , Kite Bobbie  , Ramanathan Jay  , Payne Philip
Published: February 2025

Systems designed to expedite data preprocessing tasks such as data discovery, interpretation, and integration that are required before data analysis drastically impact the pace of biomedical informatics research. Current commercial interactive and real-time data integration tools are designed for large-scale business analytics requirements. In this paper we identify the need for end-to-end data fusion platforms from the researcher's perspective, supporting ad-hoc data interpretation and integration.
Toward a Global eHealth Observatory for Nursing
Authors: Bartz Claudia C.  , Hardiker Nicholas R.  , Coenen Amy
Published: February 2025

This poster summarizes a review of existing health observatories and proposes a new entity for nursing. A nursing eHealth observatory would be an authoritative and respected source of eHealth information that would support nursing decision-making and policy development and add to the body of knowledge about professional nursing and client care outcomes.
Mobile Health Applications, in the Absence of an Authentic Regulation, Does the Usability Score Correlate with a Better Medical Reliability?
Authors: Yasini Mobin  , Marchand Guillaume
Published: February 2025

Health-related mobile applications (apps) have been shown to improve the quality of health and patient care. Their use in clinical and health-related environments is becoming more considerable. The number of health-related apps available for download has considerably increased, while the regulatory position of this new industry is not well known. Despite this lack of regulation, measuring the usability score of these apps is not difficult. We compared two samples of twenty health-related applications each. One of the samples contained the apps with top-rated usability scores, and the other contained the apps with lowest-rated usability scores. We found that a good usability score correlates with a better medical reliability of the app's content (p<0.005). In the period in which a valid regulation is still lacking, calculation and attribution of usability scores to mobile applications could be used to identify apps with better medical quality. However, the usability score method ought to be rigorous and should not be rounded off with a simple five stars rating (as is the case in the classic app stores).
Web-based Self-management Support Interventions for Cancer Survivors: A Systematic Review and Meta-analyses
Authors: Kim Ae Ran  , Park Hyeoun-Ae
Published: February 2025

Those who are living with cancer as a chronic disease need to self-manage the late and long-term effects of cancer and its treatment. We conducted systematic searches of English-language peer-reviewed publications in PubMed, Cumulative Index for Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, and EMBASE between January 2000 and June 2014. We searched for web-based interventions designed to help cancer survivors manage their symptoms and the side effects of cancer treatments, which yielded 37 studies that were systematically reviewed. For the meta-analyses, five articles were selected for fatigue, seven for depression, five for anxiety, and five for overall quality of life. The most popular mode of intervention delivery was “peer-to-peer access” in the communicative functions category, followed by “the use of an enriched information environment” in the automated functions category. The effectss across all outcome measures were small to moderate compared to standard care. Healthcare providers could use information technologies to support self-management among cancer survivors based on their needs across the cancer care continuum.
Recognizing Clinical Styles in a Dental Surgery Simulator
Authors: Rhienmora Phattanapon  , Haddawy Peter  , Suebnukarn Siriwan  , Shrestha Poonam  , Dailey Matthew N.
Published: February 2025

Recognizing clinical style is essential for generating intelligent guidance in virtual reality simulators for dental skill acquisition. The aim of this study was to determine the potential of Dynamic Time Warping (DTW) in matching novices' tooth cutting sequences with those of experts. Forty dental students and four expert dentists were enrolled to perform access opening to the root canals with a simulator. Four experts performed in manners that differed widely in the tooth preparation sequence. Forty students were randomly allocated into four groups and were trained following each expert. DTW was performed between each student's sequence and all the expert sequences to determine the best match. Overall, the accuracy of the matching was high (95%). The current results suggest that the DTW is a useful technique to find the best matching expert for a student so that feedback based on that expert's performance can be given to the novice in clinical skill training.
Web-tool to Support Medical Experts in Probabilistic Modelling Using Large Bayesian Networks With an Example of Hinosinusitis
Authors: Cypko Mario A.  , Hirsch David  , Koch Lucas  , Stoehr Matthaeus  , Strauss Gero  , Denecke Kerstin
Published: February 2025

For many complex diseases, finding the best patient-specific treatment decision is difficult for physicians due to limited mental capacity. Clinical decision support systems based on Bayesian networks (BN) can provide a probabilistic graphical model integrating all necessary aspects relevant for decision making. Such models are often manually created by clinical experts. The modeling process consists of graphical modeling conducted by collecting of information entities, and probabilistic modeling achieved through defining the relations of information entities to their direct causes. Such expert-based probabilistic modelling with BNs is very time intensive and requires knowledge about the underlying modeling method. We introduce in this paper an intuitive web-based system for helping medical experts generate decision models based on BNs. Using the tool, no special knowledge about the underlying model or BN is necessary. We tested the tool with an example of modeling treatment decisions of Rhinosinusitis and studied its usability.
An Information Paradigm Shift is Required to Realize EHR Benefits
Authors: Hovenga Evelyn  , Grain Heather
Published: February 2025

The use of EHRs and the benefits from them are significant for healthcare and health informatics. Data form the basis for any EHR and its potential to realize these benefits. This paper considers the housing of information and knowledge management in an EHR system. Are we experiencing a revolution in healthcare? Findings from an investigation of alternative approaches, followed by an evaluation of the importance of the adoption of a standard information model relative to benefit realization, is presented. We conclude that an EHR in any environment is not limited to sharing or information exchange. A paradigm shift in thinking, based on the requirement for standardized concept representation, is required. This is an essential prerequisite for a new vision of healthcare supported by digital technologies.
Physicians' Attitudes Towards the Advice of a Guideline-Based Decision Support System: A Case Study With OncoDoc2 in the Management of Breast Cancer Patients
Authors: Bouaud Jacques  , Spano Jean-Philippe  , Lefranc Jean-Pierre  , Cojean-Zelek Isabelle  , Blaszka-Jaulerry Brigitte  , Zelek Laurent  , Durieux Axel  , Tournigand Christophe  , Rousseau Alexandra  , Vandenbussche Pierre-Yves  , Séroussi Brigitte
Published: February 2025

When wrongly used, guideline-based clinical decision support systems (CDSSs) may generate inappropriate propositions that do not match the recommendations provided by clinical practice guidelines (CPGs). The user may decide to comply with or react to the CDSS, and her decision may finally comply or not with CPGs. OncoDoc2 is a guideline-based CDSS for breast cancer management. We collected 394 decisions made by multidisciplinary meeting physicians in three hospitals where the CDSS was evaluated. We observed a global CPG compliance of 86.8% and a global CDSS compliance of 75.4%. Non-CPG compliance was observed in case of a negative reactance to the CDSS, when users did not follow a correct CDSS proposition (8.6% of decisions). Because of errors in patient data entry, OncoDoc2 delivered non-recommended propositions in 21.3% of decisions, leading to compliances with CDSS and CPGs of respectively 21.4% and 65.5%, whereas both compliances exceeded 90% when CDSS advices included CPG recommendations. Automation bias, when users followed an incorrect CDSS proposition explained the remaining non-compliance with CPGs (4.6% of decisions). Securing the use of CDSSs is of major importance to warranty patient safety and benefit of their potential to improve care.
Evidence-based Heuristics for Evaluating Demands on eHealth Literacy and Usability in a Mobile Consumer Health Application
Authors: Monkman Helen  , Griffith Janessa  , Kushniruk Andre W.
Published: February 2025

Heuristic evaluations have proven to be valuable for identifying usability issues in systems. Commonly used sets of heuritics exist; however, they may not always be the most suitable, given the specific goal of the analysis. One such example is seeking to evaluate the demands on eHealth literacy and usability of consumer health information systems. In this study, eight essential heuristics and three optional heuristics subsumed from the evidence on eHealth/health literacy and usability were tested for their utility in assessing a mobile blood pressure tracking application (app). This evaluation revealed a variety of ways the design of the app could both benefit and impede users with limited eHealth literacy. This study demonstrated the utility of a low-cost, single evaluation approach for identifying both eHealth literacy and usability issues based on existing evidence in the literature.
User-Centered Design of Health Care Software Development: Towards a Cultural Change
Authors: Stanziola Enrique  , Uznayo María Quispe  , Ortiz Juan Marcos  , Simón Mariana  , Otero Carlos  , Campos Fernando  , Luna Daniel
Published: February 2025

Health care software gets better user efficiency, efficacy and satisfaction when the software is designed with their users' needs taken into account. However, it is not trivial to change the practice of software development to adopt user-centered design. In order to produce this change in the Health Informatics Department of the Hospital Italiano de Buenos Aires, a plan was devised and implemented. The article presents the steps of the plan, shows how the steps were carried on, and reflects on the lessons learned through the process.
Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease
Authors: Motiwala Tasneem  , Kite Bobbie  , Regan Kelly  , Gascon Gregg M.  , Payne Philip R.O.
Published: February 2025

Liver cancer, the fifth most common cancer and second leading cause of cancer-related death among men worldwide, is plagued by not only lack of clinical research, but informatics tools for early detection. Consequently, it presents a major health and cost burden. Among the different types of liver cancer, hepatocellular carcinoma (HCC) is the most common and deadly form, arising from underlying liver disease. Current models for predicting risk of HCC and liver disease are limited to clinical data. A domain analysis of existing research related to screening for HCC and liver disease suggests that metabolic syndrome (MetS) may present oppportunites to detect early signs of liver disease. The purpose of this paper is to (i) provide a domain analysis of the relationship between HCC, liver disease, and metabolic syndrome, (ii) a review of the current disparate sources of data available for MetS diagnosis, and (iii) recommend informatics solutions for the diagnosis of MetS from available administrative (Biometrics, PHA, claims) and laboratory data, towards early prediction of liver disease. Our domain analysis and recommendations incorporate best practices to make meaningful use of available data with the goal of reducing cost associated with liver disease.
Implementing a National Scottish Digital Health & Wellbeing Service at Scale: A Qualitative Study of Stakeholders' Views
Authors: Agbakoba Ruth  , McGee-Lennon Marilyn  , Bouamrane Matt-Mouley  , Watson Nicholas  , Mair Frances
Published: February 2025

Digital technologies are being used as part of international efforts to revolutionize healthcare in order to meet increasing demands such as the rising burden of chronic disease and ageing populations. In Scotland there is a government push towards a national service (Living It Up) as a single point of reference where citizens can access information, products and services to support their health and wellbeing. The aim of the study is to examine implementation issues including the challenges or facilitators which can help to sustain this intervention. We gathered data in three ways: a) participant observation to gain an understanding of LiU (N=16); b) in-depth interviews (N=21) with stakeholders involved in the process; and c) analysis of documentary evidence about the progress of the implementation (N=45). Barriers included the need to “work at risk” due to delays in financing, inadequate infrastructure and skill-set deficiencies, whilst facilitators included trusted relationships, champions and a push towards normalisation. The findings suggest that a Scottish ehealth service is achievable but identifies key considerations for future large scale initiatives.
Mind the Gap: The Discrepancies between Patient Self-Reported Quality of Life and Medical Staff-Estimated Quality of Life
Authors: Shimamoto Yumiko  , Miyabe Mai  , Shikata Shuko  , Aramaki Eiji
Published: February 2025

Information on patient quality of life (QOL) is essential to many clinical decisions. Therefore, studies that aim to extract QOL information from patient narratives are increasingly drawing attention. Also, several studies have noted that web services for patients, such as patient social networking services, may represent promising resources for QOL research. However, it is still unclear whether patient narrative text contains corresponding amounts of QOL information as self-reported QOL. This study investigates if medical staff can accurately estimate patient QOL from only patient narrative texts. We analyzed (1) QOL of cancer patients estimated by medical staff from patient autobiographical texts and (2) self-reported QOL scores of cancer patients. We compared patients from the following 3 disease groups: (1) gastrointestinal cancer, (2) breast cancer, and (3) lymphoma. The SF-36v2™ Health Survey was used to measure patient QOL in both materials, and the QOLs were compared. We found significant differences between self-reported QOL and estimated QOL in breast cancer patients and lymphoma patients, but not in gastrointestinal cancer patients. In particular, the medical staff tended to underestimate physical QOL scores. Medical staff may underestimate several aspects of QOL scores. On the basis of these results, we may be able to achieve more precise QOL estimation from patient narratives.
Automatic Selection of Clinical Trials Based on A Semantic Web Approach
Authors: Cuggia Marc  , Campillo-Gimenez Boris  , Bouzille Guillaume  , Besana Paolo  , Jouini Wassim  , Dufour Jean-Charles  , Zekri Oussama  , Gibaud Isabelle  , Garde Cyril  , Duvauferier Regis
Published: February 2025

Recruitment of patients in clinical trials is nowadays preoccupying, as the inclusion rate is particularly low. The main identified factors are the multiplicity of open clinical trials, the high number and complexity of eligibility criteria, and the additional workload that a systematic search of the clinical trials a patient could be enrolled in for a physician. The principal objective of the ASTEC project is to automate the prescreening phase during multidisciplinary meetings (MDM). This paper presents the evaluation of a computerized recruitment support systems (CRSS) based on semantic web approach. The evaluation of the system was based on data collected retrospectively from a 6 month period of MDM in Urology and on 4 clinical trials of prostate cancer. The classification performance of the ASTEC system had a precision of 21%, recall of 93%, and an error rate equal to 37%. Missing data was the main issue encountered. The system was designed to be both scalable to other clinical domains and usable during MDM process.
Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES
Authors: He Zhe  , Wang Shuang  , Borhanian Elhaam  , Weng Chunhua
Published: February 2025

Randomized controlled trials generate high-quality medical evidence. However, the use of unjustified inclusion/exclusion criteria may compromise the external validity of a study. We have introduced a method to assess the population representativeness of related clinical trials using electronic health record (EHR) data. As EHR data may not perfectly represent the real-world patient population, in this work, we further validated the method and its results using the National Health and Nutrition Examination Survey (NHANES) data. We visualized and quantified the differences in the distributions of age, HbA1c, and BMI among the target population of Type 2 diabetes trials, diabetics in NHANES databases, and a convenience sample of patients enrolled in selected Type 2 diabetes trials. The results are consistent with the previous study.
Identification of Patients with Family History of Pancreatic Cancer – Investigation of an NLP System Portability
Authors: Mehrabi Saeed  , Krishnan Anand  , Roch Alexandra M.  , Schmidt Heidi  , Li DingCheng  , Kesterson Joe  , Beesley Chris  , Dexter Paul  , Schmidt Max  , Palakal Mathew  , Liu Hongfang
Published: February 2025

In this study we have developed a rule-based natural language processing (NLP) system to identify patients with family history of pancreatic cancer. The algorithm was developed in a Unstructured Information Management Architecture (UIMA) framework and consisted of section segmentation, relation discovery, and negation detection. The system was evaluated on data from two institutions. The family history identification precision was consistent across the institutions shifting from 88.9% on Indiana University (IU) dataset to 87.8% on Mayo Clinic dataset. Customizing the algorithm on the the Mayo Clinic data, increased its precision to 88.1%. The family member relation discovery achieved precision, recall, and F-measure of 75.3%, 91.6% and 82.6% respectively. Negation detection resulted in precision of 99.1%. The results show that rule-based NLP approaches for specific information extraction tasks are portable across institutions; however customization of the algorithm on the new dataset improves its performance.
Improving Preventive Healthcare with an User-centric Mobile Tele-monitoring Model
Authors: Roesler Valter  , Binotto Alécio P.D.  , Iochpe Cirano  , Palomba Euro Bruno  , Tizatto Luiz A.P.
Published: February 2025

Chronic diseases are an important field to tackle due to increasing healthcare risk factors, including population nutritional habits, lack of physical exercise, and population aging. Diabetes mellitus, hypertension, and obesity currently affect millions of people, and this statistic grows every year and is responsible for numerous deaths everyday. Many of those deaths could be delayed by following a steady monitoring strategy over such a population, which would prevent vital signs from reaching critical stages and providing knowledge for these patients about their health. This paper introduces Mobilicare, a mobile health promotion system designed to: (i) monitor remotely a patient's vital signs in real time; (ii) support a health service in a Healthcare Center; and (iii) allow self-awareness of the disease and improve motivation. Our approach was applied to two distinct chronic patient management programs. The results showed the commitment of elder patients and the contribution of Mobilicare to the maintenance of a patient's health stability.
Towards Constructing a New Taxonomy for Psychiatry Using Self-reported Symptoms
Authors: Ross Jessica  , Neylan Thomas  , Weiner Michael  , Chao Linda  , Samuelson Kristin  , Sim Ida
Published: February 2025

The Diagnostic and Statistical Manual (DSM) has served as the gold standard for psychiatric diagnosis for the past several decades in the USA, and DSM diagnoses mirror mental health and substance abuse diagnoses in ICD-9 and ICD-10. However, DSM diagnoses have severe limitations when used as phenotypes for studies of the pathophysiology underlying mental disorders, as well as for clinical treatment and research. In this paper, we use a novel approach of deconstructing DSM diagnostic criteria, and using expert knowledge to inform feature selection for unsupervised machine learning. We are able to identify clusters of symptoms that stratify subjects with the same DSM disorders into cohorts with increased clinical and biological homogeneity. These findings suggest that itemized self-report symptom data should inform a new taxonomy for psychiatry, and will enhance the bi-directional translation of knowledge from the bench to the clinic through a common terminology.
A Conceptual Framework for Decision-making Support in Uncertainty- and Risk-based Diagnosis of Rare Clinical Cases by Specialist Physicians
Authors: Santos Adriano A.  , Moura J. Antão B.  , de Araújo Joseana Macêdo Fechine Régis
Published: February 2025

Mitigating uncertainty and risks faced by specialist physicians in analysis of rare clinical cases is something desired by anyone who needs health services. The number of clinical cases never seen by these experts, with little documentation, may introduce errors in decision-making. Such errors negatively affect well-being of patients, increase procedure costs, rework, health insurance premiums, and impair the reputation of specialists and medical systems involved. In this context, IT and Clinical Decision Support Systems (CDSS) play a fundamental role, supporting decision-making process, making it more efficient and effective, reducing a number of avoidable medical errors and enhancing quality of treatment given to patients. An investigation has been initiated to look into characteristics and solution requirements of this problem, model it, propose a general solution in terms of a conceptual risk-based, automated framework to support rare-case medical diagnostics and validate it by means of case studies. A preliminary validation study of the proposed framework has been carried out by interviews conducted with experts who are practicing professionals, academics, and researchers in health care. This paper summarizes the investigation and its positive results. These results motivate continuation of research towards development of the conceptual framework and of a software tool that implements the proposed model.
A Hybrid Approach Using Case-Based Reasoning and Rule-Based Reasoning to Support Cancer Diagnosis: A Pilot Study
Authors: Saraiva Renata M.  , Bezerra João  , Perkusich Mirko  , Almeida Hyggo  , Siebra Clauirton
Published: February 2025

Recently there has been an increasing interest in applying information technology to support the diagnosis of diseases such as cancer. In this paper, we present a hybrid approach using case-based reasoning (CBR) and rule-based reasoning (RBR) to support cancer diagnosis. We used symptoms, signs, and personal information from patients as inputs to our model. To form specialized diagnoses, we used rules to define the input factors' importance according to the patient's characteristics. The model's output presents the probability of the patient having a type of cancer. To carry out this research, we had the approval of the ethics committee at Napoleão Laureano Hospital, in João Pessoa, Brazil. To define our model's cases, we collected real patient data at Napoleão Laureano Hospital. To define our model's rules and weights, we researched specialized literature and interviewed health professional. To validate our model, we used K-fold cross validation with the data collected at Napoleão Laureano Hospital. The results showed that our approach is an effective CBR system to diagnose cancer.
Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach
Authors: Dunn Adam G.  , Arachi Diana  , Bourgeois Florence T.
Published: February 2025

We examined a process for automating the classification of articles in MEDLINE aimed at minimising manual effort without sacrificing accuracy. From 22,808 articles pertaining to 19 antidepressants, 1000 were randomly selected and manually labelled according to article type (including, randomised controlled trials, editorials, etc.). We applied a machine learning approach termed ‘active learning’, where the learner (machine) selects the order in which the user (human) labels examples. Via simulation, we determined the number of articles a user needed to label to produce a classifier with at least 95% recall and 90% precision in three scenarios related to evidence synthesis. We found that the active learning process reduced the number of training instances required by 70%, 19%, and 14% in the three scenarios. The results show that the active learning method may be used in some scenarios to produce accurate classifiers that meet the needs of evidence synthesis tasks and reduce manual effort.
Development of Markup Language for Medical Record Charting: A Charting Language
Authors: Jung Won-Mo  , Chae Younbyoung  , Jang Bo-Hyoung
Published: February 2025

Nowadays a lot of trials for collecting electronic medical records (EMRs) exist. However, structuring data format for EMR is an especially labour-intensive task for practitioners. Here we propose a new mark-up language for medical record charting (called Charting Language), which borrows useful properties from programming languages. Thus, with Charting Language, the text data described in dynamic situation can be easily used to extract information.
Applicability of different types of Patient Records for Patient Recruitment Systems
Authors: Schreiweis Björn  , Bergh Björn
Published: February 2025

Patient records – types of Electronic Medical Records – are implemented to support patient recruitment. Different types of patient records have not yet been analyzed as to the number of Patient Recruitment System requirements can be found in each type of patient record. According to our analysis, personal electronic health records (PEHRs) tend to allow for most requirements to be found.
Evaluating the data completeness in the Electronic Health Record after the Implementation of an Outpatient Electronic Health Record
Authors: Soto Mauricio  , Capurro Daniel  , Catalán Silvia
Published: February 2025

Electronic health records (EHRs) present an opportunity for quality improvement in health organitations, particularly at the primary health level. However, EHR implementation impacts clinical workflows, and physicians frequently prefer to document in a non-structured way, which ultimately hinders the ability to measure quality indicators. We present an assessment of data completeness—a key data quality indicator—during the first 12 months after the implementation of an EHR at a teaching outpatient center in Santiago, Chile.
Optimizing Safety, Fidelity and Usability of an Intelligent Clinical Support Tool (ICST) For Acute Hospital Care: an Australian Case Study Using a Multi-Method Delphi Process
Authors: Botti Mari  , Redley Bernice  , Nguyen Lemai  , Coleman Kimberley  , Wickramasinghe Nilmini
Published: February 2025

This research focuses on a major health priority for Australia by addressing existing gaps in the implementation of nursing informatics solutions in healthcare. It serves to inform the successful deployment of IT solutions designed to support patient-centered, frontline acute healthcare delivery by multidisciplinary care teams. The outcomes can guide future evaluations of the contribution of IT solutions to the efficiency, safety and quality of care delivery in acute hospital settings.
Screening Mammography Efficacy: A Comparison Between Screen-Film, Computed Radiography and Digital Mammography in Taiwan
Authors: Elbakkoush Abdallah Ahmed  , Atique Suleman  , Chiang I-Jen
Published: February 2025

Breast cancer screening has been proven effective in Western countries, and our National Health Bureau also started to offer free screening mammography for women aged between 50 and 69, since July 2004. This study aims to compare the efficacy between distinctive mammography screening modalities. Prompting the assessment of digital screening in the radiological sciences, we provide insight into the practical informatics application of such tools.
Syntactic and Semantic Errors in Radiology Reports Associated With Speech Recognition Software
Authors: Ringler Michael D.  , Goss Brian C.  , Bartholmai Brian J.
Published: February 2025

Speech recognition software (SRS) has many benefits, but also increases the frequency of errors in radiology reports, which could impact patient care. As part of a quality control project, 13 trained medical transcriptionists proofread 213,977 SRS-generated signed reports from 147 different radiologists over a 40 month time interval. Errors were classified as “material” if they were believed to alter interpretation of the report. “Immaterial” errors were subclassified as intrusion/omission or spelling errors. The proportion of errors and error type were compared among individual radiologists, imaging subspecialty, and time periods using .2 analysis and multiple logistic regression, as appropriate. 20,759 (9.7%) reports contained errors; 3,992 (1.9%) contained material errors. Among immaterial errors, spelling errors were more common than intrusion/omission errors (P<.001). Error proportion varied significantly among radiologists and between imaging subspecialties (P<.001). Errors were more common in cross-sectional reports (vs. plain radiography) (OR, 3.72), reports reinterpreting results of outside examinations (vs. in-house) (OR, 1.55), and procedural studies (vs. diagnostic) (OR, 1.91) (all P<.001). Dictation microphone upgrade did not affect error rate (P=.06). Error rate decreased over time (P<.001).
Archetype Development Process of Electronic Health Record of Minas Gerais
Authors: Abreu Maia Thais  , Fernandes De Muylder Cristiana  , Mendonça Queiroga Rodrigo
Published: February 2025

The Electronic Health Record (EHR) supports health systems and aims to reduce fragmentation, which will enable continuity of patient care. The paper's main objective is to define the steps, roles and artifacts for an archetype development process (ADP) for the EHR at the Brazilian National Health System (SUS) in the State of Minas Gerais (MG). This study was conducted using qualitative analysis based upon an applied case. It had an exploratory purpose metodologically defined in four stages: literature review; descriptive comparison; proposition of an archetype development process and proof of concept. The proof of concept showed that the proposed ADP ensures the archetype quality and supports the semantic interoperability in SUS to improve clinical safety and the continuity of patient care.
Unanticipated consequences of hospital-based insulin management order sets
Authors: Cha Eunme  , Golden Sherita Hill  , Finkelstein Joseph
Published: February 2025

Recent studies demonstrated risks to patient safety associated with implementation of electronic applications for medication management in ambulatory care. This study was aimed at demonstrating similar phenomenon in a hospital setting. After introduction of computerized order set targeting hypoglycemia, the frequency of hypoglycemia significantly decreased from 1/1/07 to 12/31/08. In contrast, the frequency of hyperglycemia increased at the same time from 1/1/07 to 12/31/07. Only after subsequent introduction of a hospital-wide standardized insulin order set including hyperglycemia policies frequency of hyperglycemic episodes declined. Hypo/hyperglycemia is associated with adverse clinical outcomes in the inpatient setting. Retroactive analysis showed that if hypoglycemic and hyperglycemic policies were introduced simultaneously, unexpected increase in frequency of hyperglycemic episodes could have been avoided. These data are informative in identifying unanticipated consequences of an insulin management order sets focused entirely on hypoglycemia. A balanced approach in implementing insulin management guidelines concurrently addressing both hypoglycemia and hyperglycemia policies is warranted.
A Trial of Nursing Cost Accounting using Nursing Practice Data on a Hospital Information System
Authors: Miyahira Akiko  , Tada Kazuko  , Ishima Masatoshi  , Nagao Hidenori  , Miyamoto Tadashi  , Nakagawa Yoshiaki  , Takemura Tadamasa
Published: February 2025

Hospital administration is very important and many hospitals carry out activity-based costing under comprehensive medicine. However, nursing cost is unclear, because nursing practice is expanding both quantitatively and qualitatively and it is difficult to grasp all nursing practices, and nursing cost is calculated in many cases comprehensively. On the other hand, a nursing information system (NIS) is implemented in many hospitals in Japan and we are beginning to get nursing practical data. In this paper, we propose a nursing cost accounting model and we simulate a cost by nursing contribution using NIS data.
Systems Medicine for Multiple Myeloma: A Review on Decision Support Systems
Authors: Ganzinger Matthias  , Haux Christian  , Karmen Christian  , Wetter Thomas  , Knaup Petra
Published: February 2025

Systems medicine is a current approach trying to improve treatment for patients with complex diseases by analyzing as much phenotype and genotype data as possible for the disease in question. For individualized treatment decisions in clinical practice, this task has to be supported by an application system with decision support component. For a research project on systems medicine we reviewed methods for decision support. Criteria for selecting a method are derived from characteristics of the data and the diseases. They include, among others: dimensionality of data and existence of a priori models for diseases. As a result we decided to implement a prototype system with a case-based reasoning component for systems medicine on multiple myeloma.
Development of a Mobile System Decision-support for Medical Diagnosis of Asthma in Primary Healthcare – InteliMED
Authors: Menezes Jr. Júlio  , Gusmão Cristine
Published: February 2025

The structure of public and primary healthcare in Brazil is organized in a way to provide decentralized services. In theory, this scenario could enable the usage of mobile devices integrated with information systems of several purposes. In addition, there is a need of decision-support tools that are based on collected evidences, once the professional of primary healthcare, which essentially has general knowledge (non-specialist). Therefore there is a need of information that support the decision-making process on more specific contexts. This paper presents the proposal, experience of development and application of the InteliMED, a decision-support system to asthma diagnosis of children and adolescents through decision-trees and mobile devices (smartphones and tablets).
Why should I? – Acceptance of Health Information Technology Among health professionals
Authors: D'Souza Joseph M.J.  , Hunter Inga
Published: February 2025

Applying the Technology Acceptance Model, the end user intentions to use technology applications is studied. The study finds the end users negative perception of the usefulness of the application as a major factor in its suboptimal utilisation.
User-centered design to develop clinical applications. Literature review
Authors: Luna Daniel  , Quispe María  , Gonzalez Zulma  , Alemrares Alfredo  , Risk Marcelo  , Garcia Aurelio Mauro  , Otero Carlos
Published: February 2025

User-centered design is mentioned by Norman as “the need for a design that uses the natural properties of the individuals, exploiting the relationships and constraints and focusing on the needs and interests of the user, in order to make the final products usable and understandable”. This is also important in health developments. The objective of this paper is to search and analyze articles in the healthcare field where user-centered design principles have been applied. We describe findings in this topic from articles published between January 1995 and September 2014.
Speech therapy teleconsultations of a public telehealth service in a developing country
Authors: Moreira Lucena Aline  , Alkmim Maria Beatriz  , Soares Garcia Vinícius  , de Araújo Brandão Couto Erica  , Marcolino Milena Soriano
Published: February 2025

Our aim is to assess speech therapy teleconsultations performed by the Telehealth Network of Minas Gerais, a public telehealth service that attends 722 cities in Brazil, to demonstrate the importance of the telehealth to support these professionals. In this observational retrospective study, consecutive speech therapy teleconsultations performed by the Telehealth Network of Minas Gerais, Brazil, from February 2011 to May 2014, were analyzed. Socio-demographic characteristics of the cities which requested teleconsultations were assessed, and teleconsultations were analyzed based on the type of query. Throughout the study, 259 valid speech therapy teleconsultations were performed. There were no significant differences in socio-demographic characteristics of municipalities that requested and did not request speech therapy teleconsultations. Speech therapists (65%), nurses (27%) and physicians (5%) requested the highest number of teleconsultations, mostly related to the area of language (47%), oral motor skills (29%), voice (20%), audiology (18%) and dysphagia (10%). In conclusion, teleconsultations demonstrated to be a potential tool for speech therapists working in remote areas.
Referring Quality Assessment of Primary Health Care for Endocrinology in Rio Grande do Sul, Brazil
Authors: Monteiro Grendene Gabriela  , Szczecinski Rodrigues Átila  , Katz Natan  , Harzheim Erno
Published: February 2025

This paper presents results of an assessment of the quality research of endocrinology referrals in the public health system in the state of Rio Grande do Sul. From the analysis of 4,458 requests for endocrinology referrals, it was found that 15% of referrals had insufficient information for evaluation and 71% showed no clinical justification for authorization of referencing. The partial results of the study indicated that the lack of information makes it impossible to clinically regulate these requests. The use of referencing protocols associated with telemedicine tools can assist doctors in primary health care in the clinical management and make access to specialized services more equitable and timely.
Development of a Daily Life Support System for Elderly Persons with Dementia in the Care Facility
Authors: Takahashi Yoshiyuki  , Kawai Toshihiro  , Komeda Takashi
Published: February 2025

Taking care for dementia persons with BPSD is burdening on caregivers. To reduce caregivers' burdens and improve dementia persons' quality of life, monitoring and communication intervention system has been proposed. A part of the system, wandering and falling down detection system has been developed. It is designed based on the requirement of the caregivers working in the care facility. Functional test was carried out and had positive impressions from the caregivers.
Education in care and technology, a facilitator of interdisciplinary research and development
Authors: Willems Charles G.  , Sponselee Anne-mie  , Verkerke Margreet Michel  , Sirkka Andrew  , Saarni Lea  , Castello Branco Miguel  , de Witte Luc
Published: February 2025

Objective: Application of technology in care is hindered by two factors; a critical attitude of care professionals towards the use of technology as part of care delivery and a lack of knowledge of care practice by technology developers. Technological developments may provide adequate solutions to support care provision. The principles of user centred design and development, traditionally used in the development of assistive technology, may provide powerful tools to support care provision. Interdisciplinary research will be needed to take full benefit. Educational programs to support this development are lacking.
BRIDGeViz: Towards an Interactive Data Visualization Tool for Exploration of Indoor Daily Life of an Older Adult
Authors: Saidinejad Hassan  , Bogni Diego  , Comai Sara  , Salice Fabio
Published: February 2025

Interactive data visualization could be beneficial to gain insight into the data concerning the inhabitant and the environment collected by an ambient assisted living system. In this paper we present BRIDGeViz that is a web-based interactive visualization tool for the BRIDGe AAL system. It is an effort to help caregivers, the main target users, to explore the daily life dynamics of the inhabitant in order to detect life trends, deviation from daily norms, and search for potential causes of a problem. BRIDGeViz provides two main views and visualizations: the overview visualization for a holistic view of long-term data and the detailed view for a day-level detailed exploration. The visualizations are enriched by interaction mechanisms and some analytic support such as searching for similar days. We also conducted a user study with a demo version of our tool with a positive overall feedback.