bluuebunny/crossref_metadata_2025 huggingface dataset:
Raman Scattering in Pathology
Authors: Smith Zachary J.  , Huser Thomas R.  , Wachsmann-Hogiu Sebastian
Published: February 2025

Raman scattering is the inelastic scattering of light by chemical bonds, and can therefore show molecular specificity. It can be used both in pure spectroscopy mode, and in imaging mode. While many applications of Raman spectroscopy and imaging in the biomedical field have been so far demonstrated, the use of this technology for pathology applications is still in its early stages. In this paper we review some of the most important recent developments in this field, including a description of relevant technologies, applications to molecular sensing, characterization of cells and tissues of interest, and disease detection via Raman scattering.
Biophotonics Techniques for Structural and Functional Imaging, In Vivo
Authors: Ardeshirpour Yasaman  , Gandjbakhche Amir H.  , Najafizadeh Laleh
Published: February 2025

In vivo optical imaging is being conducted in a variety of medical applications, including optical breast cancer imaging, functional brain imaging, endoscopy, exercise medicine, and monitoring the photodynamic therapy and progress of neoadjuvant chemotherapy. In the past three decades, in vivo diffuse optical breast cancer imaging has shown promising results in cancer detection, and monitoring the progress of neoadjuvant chemotherapy. The use of near infrared spectroscopy for functional brain imaging has been growing rapidly. In fluorescence imaging, the difference between autofluorescence of cancer lesions compared to normal tissues were used in endoscopy to distinguish malignant lesions from normal tissue or inflammation and in determining the boarders of cancer lesions in surgery. Recent advances in drugs targeting specific tumor receptors, such as monoclonal antibodies (mAb), has created a new demand for developing non-invasive in vivo imaging techniques for detection of cancer biomarkers, and for monitoring their down regulations during therapy. Targeted treatments, combined with new imaging techniques, are expected to potentially result in new imaging and treatment paradigms in cancer therapy. Similar approaches can potentially be applied for the characterization of other disease-related biomarkers. In this chapter, we provide a review of diffuse optical and fluorescence imaging techniques with their application in functional brain imaging and cancer diagnosis.
Knowledge Representation and Management Enabling Intelligent Interoperability – Principles and Standards
Authors: Blobel Bernd
Published: February 2025

Based on the paradigm changes for health, health services and underlying technologies as well as the need for at best comprehensive and increasingly automated interoperability, the paper addresses the challenge of knowledge representation and management for medical decision support. After introducing related definitions, a system-theoretical, architecture-centric approach to decision support systems (DSSs) and appropriate ways for representing them using systems of ontologies is given. Finally, existing and emerging knowledge representation and management standards are presented. The paper focuses on the knowledge representation and management part of DSSs, excluding the reasoning part from consideration.
Design of the Océ ColorWave 600 carriage
Authors: Draad A. (Aswin)
Published: February 2025

The ColorWave 600 printer was introduced in 2008 and this paper presents the design of the carriage, which transports the print heads accurately up and down the printer. Positioning of the print heads, especially self-positioning, and thermal aspects are discussed which have largely shaped the design of the carriage.
A Dependencies Mapping Method for Personal Health Monitoring
Authors: Rogerson Simon  , Wilford Sara  , Fairweather Ben
Published: February 2025

This chapter discusses the research undertaken in developing a comprehensive dependencies map for Personal Health Monitoring (PHM). Included is a discussion of the underlying research approach adopted and how this was operationalized. A new dependencies mapping method has been developed and this is described in detail. Illustrations of the derived tools are given using the PHM analysis undertaken. A summary of the analysis outcomes and the resulting recommendations are discussed. The chapter concludes with some suggestions of ways in which this type of data set can be used in practice to deliver fit-for-purpose PHM systems.
Assistive Technology: Concluding Remarks and the Future
Authors: Cercone Nick
Published: February 2025

We observe some conceptions and misconceptions about assistive technology with some concluding remarks regarding our use of assistive technology for persons with disabilities. We speculate briefly about the future of assistive technologies.
Fuzzy Portfolio Selection based on Index Tracking and Value-at-Risk
Authors: Xing Qianli  , Wang Bo  , Watada Junzo
Published: February 2025

In this paper, a new fuzzy portfolio selection model based on index tracking is proposed. The index tracking is to make the portfolio of stocks perform as close to the benchmark as possible. Therefore, it can be taken as a risk controller that ensures the reliability of a portfolio. In addition, fuzzy Value-at-risk (VaR) which describes the greatest loss of an investment at a specified confidence level is employed here as another risk measurement. To solve the proposed models in some special situations, we derived several crisp equivalent forms of the PSM. In general cases, we design a fuzzy simulation-based particle swarm optimization (PSO) algorithm to find optimal results. Finally, a numerical example is provided to illustrate the proposed model and the hybrid PSO algorithm. We engage in discussions about the experimental results, and compare our models with conventional approaches which do not apply index tracking.
The effect of electronic pathology ordering in emergency departments on one aspect of test turn around time: A failure time analysis
Authors: Li Ling  , Georgiou Andrew  , Vecellio Elia  , Toouli George  , Eigenstetter Alex  , Wilson Roger  , Westbrook Johanna I.
Published: February 2025

Electronic ordering systems have the potential to enhance the effective and efficient utilisation of pathology services. This study examined the influence of electronic ordering of pathology tests in four emergency departments on data entry times, a contributing factor to test turnaround time using failure time analysis. Data relating to tests ordered for 50,854 emergency department patients at four hospitals were analysed. The introduction of electronic test ordering significantly reduced turnaround time associated with laboratory data entry at the four hospitals, but there was significant variation between hospitals. Investigation of the impact of electronic ordering on efficiency of pathology services must take into account specific aspects of turnaround time measurement.
Using NLP to identify cancer cases in imaging reports drawn from radiology information systems
Authors: Patrick Jon  , Asgari Pooyan  , Li Min  , Nguyen Dung
Published: February 2025

A Natural Language processing (NLP) classifier has been developed for the Victorian and NSW Cancer Registries with the purpose of automatically identifying cancer reports from imaging services, transmitting them to the Registries and then extracting pertinent cancer information. Large scale trials conducted on over 40,000 reports show the sensitivity for identifying reportable cancer reports is above 98% with a specificity above 96%. Detection of tumour stream, report purpose, and a variety of extracted content is generally above 90% specificity. The differences between report layout and authoring strategies across imaging services appear to require different classifiers to retain this high level of accuracy. Linkage of the imaging data with existing registry records (hospital and pathology reports) to derive stage and recurrence of cancer has commenced and shown very promising results.
Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms
Authors: Anastassopoulos George  , Adamopoulos Adam  , Galiatsatos Dimitrios  , Drosos Georgios
Published: February 2025

A hybrid model that consists of an Artificial Neural Network and Genetic Algorithm is used in order to select the most significant osteoporosis risk factors. The results indicated that just 8 to 10 parameters, out of a total 34, are essential in order of high performance to be achieved.
Identifying Computerized Provider Order Entry (CPOE) Medication Errors
Authors: Mominah Maher A.  , Househ Mowafa S.
Published: February 2025

Computerized provider order entry (CPOE) can help reduce the occurrence of medication errors. In Saudi Arabia, CPOE has been implemented for years, with a small number of studies evaluating the impacts of CPOE on medication errors. This study was conducted through the review of reported medication and prescribing errors at one of tertiary hospital, in Riyadh, Saudi Arabia, in 2012. Data was reviewed and evaluated to identify and analyze all drug prescribing errors and subsequently exploring factors that have contributed to the identification of the drug prescribing errors by the dispensing pharmacists. Recommendations on developing policies and procedures, working in a safe environment, healthcare provider awareness, and improved technology to reduce medication errors in Saudi Arabia are discussed.
Building a Widespread Public Health Education System for Developing Countries in Africa
Authors: Wiesner Martin  , Pfeifer Daniel
Published: February 2025

Many developing countries struggle to move their health care system into the information age. Millions of people in Africa do not have any access to online resources to satisfy their need for adequate individual health information. Access to high quality content available in public spots could have an immense impact on people's daily life. Our browser-based health education application might help to provide a better understanding of diseases for people in developing countries. We encourage other researchers to adopt our vision for a widespread public health education system in Africa.
Using Individualized Pulse Transit Time Calibration to Monitor Blood Pressure During Exercise
Authors: Jeong In cheol  , Wood Jeffrey  , Finkelstein Joseph
Published: February 2025

Continuous blood pressure (BP) monitoring during exercise is necessary to ensure exercise safety, particularly in seniors and individuals with cardiovascular conditions. Pulse transit time (PTT) has been suggested for non-invasive BP monitoring however its implementation into clinical practice was hampered by lack of non-expensive practical solutions. The goal of this project was to introduce and to test a practical low-cost solution for using PTT to estimate BP during exercise. Our approach was based on obtaining 3 calibration points during different levels of exertion for each subject and utilizing the resulting individualized BP estimation equitation for patient-specific monitoring of BP during home-based exercise. Evaluation of the proposed approach showed that the mean difference between reference systolic BP (SBP) and estimated SBP was 0.0 mmHg. The optimal way to calculate PTT has been established by comparison of three main characteristic points used to derive PTT.
Drugs Don't Work in Patients Who Don't Take Them: Dr. Drin, The New ICT Paradigm For Chronic Therapies
Authors: Brondi Raffaello  , Bannò Filippo  , Bendinelli Sara  , Castelli Christian  , Mancina Antonio  , Marinoni Mauro  , Sartiano Daniele  , Sernissi Francesca  , Bongioanni Paolo
Published: February 2025

Poor adherence to drug therapies still represents an unsolved problem. In order to provide a useful solution to chronic patients of all ages – with particular attention to the elderly – who are subjected to complex therapeutic regimen, an innovative ICT solution, called Dr.Drin, has been designed and tested . The aim of the developed framework is to assist the patient during the therapy and to enable and support a bidirectional communication between all healthcare stakeholders (doctors, caregivers and family members) and the patient. During the screening phase, patients were interviewed to understand what are the common practices they usually adopt to remember when and how to take a drug. The solutions which they rely the most on are the list of drugs, writing on the packaging, and setting up alarms. Patients who complained about difficulties of adherence and who had a smartphone were subsequently recruited to test Dr.Drin over a three-months period. In the following, preliminary results from the first twelve patients are presented and analyzed to prove the effectiveness of Dr.Drin in supporting patients adherence to therapies.
Assessment of Frontal Brain Functions In Alcoholics Following A Health Mobile Cognitive Stimulation Approach
Authors: Gamito Pedro  , Oliveira Jorge  , Lopes Paulo  , Morais Diogo  , Brito Rodrigo  , Saraiva Tomaz  , Bastos Marta  , Cristóvão Sara  , Caçôete Cristiana  , Picareli Felipe
Published: February 2025

The consequences of alcohol dependence syndrome are severe, ranging from physical diseases to neuropsychological deficits in several cognitive domains. Alcohol abuse has also been related to brain dysfunction specifically in the prefrontal cortex. We assessed these deficits and the effects of traditional (pen-and-paper) and novel (mobile technology) approaches to cognitive stimulation of alcoholics in a neuropsychological intervention program. Thirty alcoholics in treatment of alcohol dependence syndrome were assessed during four weeks on a three-day/week basis. The results showed an overall increase in frontal lobe function between the first and the final assessment, being more pronounced in alcoholics who were assigned to a treatment group with mobile technologies than to those assigned to a paper-and-pencil treatment and to a control group. These results support the use of ecologically sound and available approaches of neuropsychological stimulation to treat executive dysfunction in patients with alcohol dependence syndrome.
Development of an Early Detection and Monitoring System for Deteriorating Patients
Authors: Hwang Min-A.  , Jo Eun-Mi  , Yoon Hyeri  , Suh Dong In
Published: February 2025

A number of methods of preventing cardiopulmonary arrest are currently in use. One such method is the alert response system developed by Seoul National University Children's Hospital, which is an early detection and monitoring system for deteriorating patients who are at risk of cardiopulmonary arrest. This system offers an effective means of detecting early warning signs and monitoring deteriorating patients, and its application can reduce rates of cardiopulmonary arrest.
The Effects of Electronic Health Record on the Flow of Information – A Pilot Study
Authors: Kuusisto Anne  , Asikainen Paula  , Iltanen Silja  , Saranto Kaija
Published: February 2025

Papery or electrical data processing tools are used for documenting, transmitting, evaluating, recording and archiving patient data. An implementation of an electronic health record (EHR) is a complex and multi-dimensional entity. There is a need to ensure that the impact of EHR is fully evaluated. For systematic evaluation of the Hospital Information System is developed and tested a HIS-monitor (Ammenwerth et al 2007, 2011). HIS-monitor testing is one part of the evaluation study of the implementation of EHR at the Satakunta Hospital District (SHD) in Finland. With 2500 health care professionals SHD produces specialized medical care services for 226 000 residents. The aim of this study is to evaluate the effects of EHR on the flow of information. The study design is before and after of EHR system implementation. At the pilot phase the survey material was collected and the HIS-monitor questionnaire was tested. Results show that current data processing tools do not support enough the flow of information. Results were used in further development of HIS-monitor.
Alumni's Perception of Public Health Informatics Competencies: Lessons from the Graduate Program of Public Health, Faculty of Medicine, Universitas Gadjah Mada, Indonesia
Authors: Fuad Anis  , Sanjaya Guardian Yoki  , Lazuardi Lutfan  , Rahmanti Annisa Ristya  , Hsu Chien-Yeh
Published: February 2025

Public health informatics has been defined as the systematic application of information and computer science and technology to public health practice, research, and learning [1]. Unfortunately, limited reports exist concerning to the capacity building strategies to improve public health informatics workforce in limited-resources setting.
CICERO: An Emergent Conceptual Model for Onco-EPR Systems
Authors: Poulter Thomas W.  , Bath Peter A.
Published: February 2025

Cancer care is one of the most complex, multi-disciplinary, and data-intensive undertakings in all of medicine, which makes it particularly well suited for the application of electronic patient record systems (EPRs) [1]. To assist with a programme of research to establish oncologists' perspectives on the requirements and benefits of EPR systems, a conceptual model for Comprehensive, Integrated, Customised Electronic Record systems for Oncology (“CICERO”) is proposed. Preliminary data to refine the model were gathered using an online survey questionnaire and here we present high level emergent themes from initial analyses of the qualitative data.
A Biomedical Information System for Retrieval and Manipulation of NHANES Data
Authors: Mukherjee Sukrit  , Martins David  , Norris Keith C.  , Jenders Robert A.
Published: February 2025

The retrieval and manipulation of data from large public databases like the U.S. National Health and Nutrition Examination Survey (NHANES) may require sophisticated statistical software and significant expertise that may be unavailable in the university setting. In response, we have developed the Data Retrieval And Manipulation System (DReAMS), an automated information system to handle all processes of data extraction and cleaning and then joining different subsets to produce analysis-ready output. The system is a browser-based data warehouse application in which the input data from flat files or operational systems are aggregated in a structured way so that the desired data can be read, recoded, queried and extracted efficiently. The current pilot implementation of the system provides access to a limited amount of NHANES database. We plan to increase the amount of data available through the system in the near future and to extend the techniques to other large databases from CDU archive with a current holding of about 53 databases.
Finding Temporal Gene Expression Patterns for Translational Research
Authors: Tusch Guenter  , Tolea Olvi  , Kutsumi Yuka  , Sam Vincent K.  , Mamidi Lakshmi
Published: February 2025

Translational research of time-series of gene-expression microarray datasets makes use on gene expression profiles that have been obtained at different points in time. Our web-based multi-user program helps a researcher find temporal patterns like peaks in large pre-selected microarray data sets that include data from different but related studies in publicly available databases. If all studies use the same platform, data can be combined for a meta-analysis type approach. For combination of data from different platforms we allow only Affymetrix GeneChips, for which a method for pooling of information exists. To search for time patterns, the data are transformed into an abstract layer that is independent from the particular selection of time point in the individual studies.
Proposal for a Data Publication and Citation Framework When Sharing Biomedical Research Resources
Authors: He Shan  , Ganzinger Matthias  , Hurdle John F.  , Knaup Petra
Published: February 2025

Research data and biospecimen repositories are valuable resources for biomedical investigators. Sharing these resources has great potential benefits including efficient use of resources, avoiding duplicate experiments, gathering adequate sample sizes, and promoting collaboration. However, concerns from data producers about difficulties of getting proper acknowledgement for their data contributions are increasingly becoming obstacles for efficient and large-scale data sharing in reality. In this research project we analyzed the inadequacy of current policy-based solution for promoting data sharing. The recommendations in this paper emphasize data publication and citation. This project aims to promote the acknowledgement of data contributors with realizable informatics tools that augment informal policy-level strategies, and do so in a way that promotes data sharing.
Why do Physicians Have Difficulty Accepting Clinical Decision Support Systems?
Authors: Marc David T.  , Khairat Saif S.
Published: February 2025

Clinical decision support systems (CDSS) have not consistently demonstrated improvements in clinical care. This may partly be due to the lack of user acceptance. The purpose of this paper was to conduct a systematic literature review and task analysis to develop a model for CDSS design in order to achieve user acceptance.
Extending VIVO Ontology to Represent Research and Educational Resources in an Academic Biomedical Informatics Department
Authors: Nakikj Drashko  , Weng Chunhua
Published: February 2025

The increasing need for interdisciplinary team sciences makes it vital for academic research departments to publicize their research and educational resources as part of “linked data” on the semantic web to facilitate research networking and recruitment. We extended an open-source ontology, VIVO, to represent the research and educational resources in an academic biomedical informatics department to enable ontology-based information storage and retrieval. Using participatory design methods, we surveyed representative types of visitors to the department web site to understand their information needs, and incorporated these needs into the ontology design. We added 114 classes and 186 properties to VIVO. Generalizability and scalability are the measures used in our theoretical evaluation.
Exploring Local Public Health Work in the Context of Novel Translation Technologies
Authors: Mandel Hannah  , Turner Anne M.
Published: February 2025

Limited English proficiency (LEP) leads to disparities in health and health care. Although the LEP population in the US is growing and federal regulations require availability of translated health promotion materials, availability of these materials is lacking, partially due to the costs and time required to produce high quality translations. We conducted semi-structured interviews with employees involved in the translation process at three local health districts (LHDs) in Washington State to explore the potential for novel technologies to assist in the creation of multilingual health promotion materials. We generated a translation workflow diagram and analyzed key themes that affected the translation process. We also explored employees' opinions regarding electronic document exchange and machine translation technology (MT). Overall, public health employees were open to the incorporation of information technologies to speed the translation and dissemination of multilingual public health materials if quality could be assured.
Investigating Incidents of EHR Failures in China: Analysis of Search Engine Reports
Authors: Lei Jianbo  , Guan Pengcheng  , Gao Kaihua  , Lu Xueqing  , Sittig Dean
Published: February 2025

As the healthcare industry becomes increasingly dependent on information technology (IT), the failure of computerized systems could cause catastrophic effects on patient safety. We conducted an empirical study to analyze news articles available on the internet using Baidu and Google. 116 distinct EHR outage news reports were identified. We examined characteristics, potential causes, and possible preventive strategies. Risk management strategies based are discussed.
Developing the Nursing Care Plans Using the “Master File of Standardized Nursing Practice Terminology” in Japan
Authors: Wako Fumiko  , Tsuru Satoko  , Omori Miho  , Watanabe Chitose  , Uchiyama Makiko  , Asada Miwa  , Inoue Kikumi
Published: February 2025

A common language in nursing facilitates better communication among nurses and healthcare team, assuring better nursing care, hence better patient outcomes. As we developed and disseminated the standardized terminology of nursing which provided nurses with a set of terms to describe nursing observations and nursing actions, we developed a certain number of nursing care plans using the terms in it. The nursing care plans included those for the patients requiring medical (pharmaceutical)/surgical procedures or the patients showing some signs and symptoms. Generally, nurses found that the nursing care plans were useful and flexible enough to allow for the modification according to the needs of each individual patient. In conclusion, the nursing care plans based on the standardized terminology showed its relevance to the clinical settings.
National Electronic Medical Records integration on Cloud Computing System
Authors: Mirza Hebah  , El-Masri Samir
Published: February 2025

Few Healthcare providers have an advanced level of Electronic Medical Record (EMR) adoption. Others have a low level and most have no EMR at all. Cloud computing technology is a new emerging technology that has been used in other industry and showed a great success. Despite the great features of Cloud computing, they haven't been utilized fairly yet in healthcare industry. This study presents an innovative Healthcare Cloud Computing system for Integrating Electronic Health Record (EHR). The proposed Cloud system applies the Cloud Computing technology on EHR system, to present a comprehensive EHR integrated environment.
The NLM Value Set Authority Center
Authors: Bodenreider Olivier  , Nguyen Duc  , Chiang Pishing  , Chuang Philip  , Madden Maureen  , Winnenburg Rainer  , McClure Rob  , Emrick Steve  , D'Souza Ivor
Published: February 2025

The Value Set Authority Center (VSAC) at the National Library of Medicine (NLM) provides downloadable access to all official versions of vocabulary value sets contained in the Clinical Quality Measures (CQMs) used in the certification criteria for electronic health record systems (“Meaningful Use” incentive program). Each value set consists of the numerical values (codes) and human-readable names (descriptions), drawn from standard vocabularies such as LOINC, RxNorm and SNOMED CT®, that are used to define clinical data elements used in clinical quality measures (e.g., patients with diabetes, tricyclic antidepressants). The content of the VSAC will gradually expand to incorporate value sets for other use cases, as well as for new measures and updates to existing measures.
Guidelines to Encourage the Adoption and Meaningful Use of Health Information Technologies in the South African Healthcare Landscape
Authors: Mostert-Phipps Nicky  , Pottas Dalenca  , Korpela Mikko
Published: February 2025

There are various benefits associated with the adoption and meaningful use of health information technologies (HITs) in the healthcare sector. Despite these benefits, the South African healthcare sector has been slow to adopt HITs such as electronic record systems. The purpose of this research project was to formulate guidelines to encourage the adoption and meaningful use of HITs in the South African healthcare landscape.
Opportunistically Discovering Usability Requirements for a Clinical Handover System
Authors: Kaufmann David  , Parry David  , Carlsen Victoria  , Carter Philip  , Parry Emma  , Westbrook Lucy
Published: February 2025

Clinical Handover in hospital is a process that can cause a major risk to patients, and be inefficient and time-consuming for staff. Software designed to support such processes needs to be used in a demanding and fast-moving environment. This work formulated Usability Design Requirements for such a handover software system. The requirements have been derived from a usability evaluation at Auckland City Hospital, where the handover was observed in two different environments during a handover improvement process. The requirements were produced using a multi-method, triangulated approach and they may be able to inform the design of systems to support clinical handover. The physical environment and the protocols adopted for handover were changed during this process, with software changes waiting for a larger project. Periods of change in work practice may be particularly favourable times to perform such studies, even if major software changes are not implemented. Staff engagement with the process may also be improved during times of change.
Personal Health Information, Privacy and Surveillance: Do We Need a Critical Voice?
Authors: Whetton Sue
Published: February 2025

This paper argues that many expanding secondary uses of personal health information are moving beyond legitimate monitoring processes, to become surveillance practices used for purposes of controlling individuals and populations. The paper focuses on the academic discipline of health informatics as a key claim-making site for influencing understandings about uses of personal health information. Using a Foucauldian influenced analysis, it discusses the way discourses shape our attitude to expanding uses of personal health information. It argues that aspirational goals of the discipline discourage critical analyses, creating the potential for the health informatics community to support expanding use of personal information for activities that may result in discrimination, disadvantage.
A Comparison of Approaches to Providing Patients Access to Summary Care Records Across Old and New Europe: An Exploration of Facilitators and Barriers to Implementation
Authors: de Lusignan Simon  , Ross Peeter  , Shifrin Michael  , Hercigonja-Szekeres Mira  , Seroussi Brigitte
Published: February 2025

Providing online access to their medical records should empower patients. National health services in Estonia, France, and England introduced systems to provide online access to summary health data. The Estonian patient access called “Patient Portal” shares similarities with the French system “Dossier Médical Personnel” (DMP). Both are patient-controlled records. The English system “Summary Care Record” (SCR) provided access to patients through “HealthSpace,” though has now been replaced by encouraging access to GP records. Denmark and Ireland also provided access rights to patients so they could view their records. Romania, Croatia, and Greece do not have national systems. The aim of this study is to compare adoption and uptake of patient access to summary data. The Estonian record was used by 3.6% of the population, the French one by 0.5% and the English system is due for closure with only 0.01% signing up for the most comprehensive access. Few countries across Europe have adopted patient access to summary health data at a national level, and where introduced, medical records have been accessed by less than 5% of the population.
Leveraging Terminological Resources for Mapping between Rare Disease Information Sources
Authors: Rance Bastien  , Snyder Michelle  , Lewis Janine  , Bodenreider Olivier
Published: February 2025

Background: Rare disease information sources are incompletely and inconsistently cross-referenced to one another, making it difficult for information seekers to navigate across them. The development of such cross-references established manually by experts is generally labor intensive and costly.
Automatic Platelets Counter for Supporting Dengue Case Detection in Primary Health Care in Indonesia
Authors: Lazuardi Lutfan  , Sanjaya Guardian Yoki  , Candradewi Ika  , Holmner Åsa
Published: February 2025

Dengue fever is a major problem in many developing countries, including Indonesia. Laboratory examination is used to diagnose dengue infection and to monitor disease progression. Hematology tests, such as platelet count, are also used for timely recognition of the development of severe dengue. In primary health care centers platelet counting is typically performed manually, which is labor intensive and requires an experienced laboratory technician. To address this challenge, we have developed an automatic platelet counter for primary health care and resource-poor settings. The technology is based on a conventional microscope equipped with a digital camera linked to a personal computer, which can capture and analyze microscope images of blood samples. To evaluate the accuracy of the technology, it was compared to platelet counts performed manual by an experienced laboratory technician. Statistical analysis shows no difference between the techniques with a kappa coefficient of 0.6. This method is judged to have great potential as a tool to help primary health centers and other facilities with limited resources to deal with the burden of dengue.
Enabling Complex Queries to Drug Information Sources through Functional Composition
Authors: Peters Lee  , Mortensen Jonathan  , Nguyen Thang  , Bodenreider Olivier
Published: February 2025

Our objective was to enable an end-user to create complex queries to drug information sources through functional composition, by creating sequences of functions from application program interfaces (API) to drug terminologies. The development of a functional composition model seeks to link functions from two distinct APIs. An ontology was developed using Protégé to model the functions of the RxNorm and NDF-RT APIs by describing the semantics of their input and output. A set of rules were developed to define the interoperable conditions for functional composition. The operational definition of interoperability between function pairs is established by executing the rules on the ontology. We illustrate that the functional composition model supports common use cases, including checking interactions for RxNorm drugs and deploying allergy lists defined in reference to drug properties in NDF-RT. This model supports the RxMix application (http://mor.nlm.nih.gov/RxMix/), an application we developed for enabling complex queries to the RxNorm and NDF-RT APIs.
A Framework for Evaluating Sequential Clinical Interventions with Disease Progression
Authors: Mei Jing  , Liu Haifeng  , Shen Weijia  , Sun Wen  , Hu Gang  , Xie Guotong  , Pan Yue
Published: February 2025

This work proposes to leverage an advanced modeling technique, namely Markov Decision Process, to evaluate sequential clinical interventions in disease management. We have demonstrated our evaluation framework on a diabetes case study over two real data sets, and discovered valuable clinical insights towards better interventions during disease progression.
The Characteristics and Key Issues in Electronic Medical Records (EMR) of Traditional Chinese Medicine TCM
Authors: Shi Cheng  , Xu Lisheng  , Gong Qingyue  , Wang Xudong
Published: February 2025

This poster briefly introduces the characteristics of TCM data, significances of EMR of TCM, and several key factors in the establishment of EMR of TCM.
Extraction of the Pharmacological Treatment Features in Literature-based Discovery by Applying Cluster Analysis
Authors: Yamazaki Shizuka  , Onodera Natsuo  , Nakayama Shin-ichi
Published: February 2025

Literature-based discovery (LBD) facilitates the extraction of hidden relationships between a disease and chemical substances. As a methodology of LBD, we had previously proposed to apply cluster analysis to analyze the intermediate concepts between them. In this study, we compared the ranks of chemical substances predicted by our methodology to the original rank so as to validate possibilities for extraction of the heterogeneity in the relationships. As a result, we obtained two clusters. The rank for one cluster was similar to the original rank (ρ=0.956), but another was different (ρ=0.580). The different features from the original rank were obtained on Pharmacological Action Terms of MeSH terms.
Construction of the Radiation Oncology Teaching Files System for Charged Particle Radiotherapy
Authors: Masami Mukai  , Yutaka Ando  , Yasuo Okuda  , Naoto Takahashi  , Yoshihisa Yoda  , Hiroshi Tsuji  , Tadashi Kamada
Published: February 2025

Our hospital started the charged particle therapy since 1996. New institutions for charged particle therapy are planned in the world. Our hospital are accepting many visitors from those newly planned medical institutions and having many opportunities to provide with the training to them. Based upon our experiences, we have developed the radiation oncology teaching files system for charged particle therapy. We adopted the PowerPoint of Microsoft as a basic framework of our teaching files system. By using our export function of the viewer any physician can create teaching files easily and effectively. Now our teaching file system has 33 cases for clinical and physics contents. We expect that we can improve the safety and accuracy of charged particle therapy by using our teaching files system substantially.
Health Workforce Competencies Needed for a Digital World
Authors: Hovenga Evelyn J.S.
Published: February 2025

The health workforce constitutes a very significant health system building block. As such it needs to have the capacity to influence how health data are captured, processed and used at all levels of decision making. This requires a national strategy that ensures all new health professional graduates are adequately prepared and that the existing workforce is developed to make the best possible use of all available digital technologies. This chapter provides an argument for why and how the health workforce should be contributing to health information governance, followed by an historical overview of various initiatives undertaken, the results achieved and issues identified during these processes. It concludes with an exploration of strategies that may be adopted to bring about change and achieve improvements.
The Design of Production Strategy Based on Risk Analysis Using Process Simulation
Authors: Mitsuyuki Taiga  , Yamato Hiroyuki  , Hiekata Kazuo  , Moser Bryan
Published: February 2025

This paper proposes a methodology to design production strategy based on risk analysis using an integrated organization and process simulation. A process simulator is developed to evaluate the risk emerging from the integration of an organization model, a production model, feasibility constraints of factory, and teams' production strategies. The process simulation iterates with the following procedure: (1) extract the class of available workers, facilities, and activities in a time horizon, (2) prioritize the work using parameters of production strategy, (3) allocate workers and facilities to activities under the constraints of simulation, (4) determine if each worker can work or not based on an uncertainty ratio, (5) renew the condition of all activities, workers, facilities and time. Better production strategies are searched using a random key based genetic algorithm which minimizes the average total labor cost. The designer selects a production strategy considering average total labor cost and standard deviation of total labor cost. The proposed methodology is applied to case studies of the block assembly process in a shipbuilding company. Results show that the proposed methodology can evaluate organizational performance based on total labor cost including risk. Furthermore, the case studies confirm that an adequate production strategy can be selected given the constraints of a specific factory.
Methodological Proposal to Determine a Suitable Implant for a Single Dental Failure Through CAD Geometric Modelling
Authors: Szejka Anderson Luis  , Pereira João Adalberto  , Rudek Marcelo  , Canciglieri Júnior Osiris
Published: February 2025

The integration of different areas of knowledge to reach new technological solutions has become a reality. This integration has been improving the surgical process of dental implant applying the concepts and methods of the product engineering. In this context, this work proposes a methodology to determine a dental implant for a single dental failure through CAD geometric modelling. This article presents two case studies of single dental failure located between two teeth, which validate the proposed methodology using the expert system developed in the Matlab environment applying the Product Engineering principles inside the Concurrent Engineering settings. The results demonstrate the methodology potential in offer support to the dentistry in the pursuit of the dental implant set determination more adequate to the patient.
Challenges of Online Trade Upon Retail Industry
Authors: Wu Kin Kong  , Wu Chun Hei
Published: February 2025

Facing the challenge of the online trade, there are threats of job losses in retail industry, close down of retail shops. What should the retail staff and management do? What should the Australian government do? What roles should the Australian government play? Are we ready for the challenge?
Heuristics for Licenses Composition
Authors: Governatori Guido  , Lam Ho-Pun  , Rotolo Antonino  , Villata Serena  , Gandon Fabien
Published: February 2025

The Web of Data is assisting to a growth of interest with respect to the open challenge of representing and reasoning in an automated way over licenses and copyright. In this paper, we deal with the problem of checking the composing together a set of licensing terms associated to a single query result on the Web of Data to create a so called composite license. More precisely, we analyze two composition heuristics, AND-composition and OR-composition, showing how they can be used to combine the deontic components specified by the licenses, i.e., permissions, obligations, and prohibitions, and which are the most suitable combinations depending on the starting licenses. Such heuristics are evaluated using the SPINdle logic reasoner.
Unsupervised Keyword Extraction for Japanese Legal Documents
Authors: Le Tho Thi Ngoc  , Nguyen Minh Le  , Shimazu Akira
Published: February 2025

This study proposes a novel unsupervised approach for extracting keywords from Japanese legal documents by applying knowledge of Japanese syntax. Japanese keywords usually occur in chunks; the task of extracting Japanese keywords is treated as a matter of finding chunks that yield documents' important content. To find these chunks, all chunks in a given document are assigned weights to indicate their importance. Highly weighted chunks are recognized as candidate keywords, which are post-processed to obtain keywords. Although the proposed method employs simple techniques, the experimental results on Japanese legal documents show that the proposed chunk-based approach achieves better performance (10.5% higher on F1-score) than the graph-based ranking approach, the most popular unsupervised method.
Climate Proofing Cities – Analysing the effects of heat adaptation measures in Bergpolder-Zuid in Rotterdam
Authors: Kleerekoper Laura  , Van Den Dobbelsteen Andy  , De Bruin-Hordijk Truus  , Van Dorst Machiel
Published: February 2025

Global climate change already caused temperature increase in the Netherlands and is predicted to increase further. Especially in summer there is a greater probability of heat wave occurrences. In cities the warmer climate can have positive effects on for example recreation and tourism in summer and less energy consumption for heating in winter. The warmer climate can also have negative effects on human comfort and health due to heat stress. Although cities are already experiencing problems during periods with warm weather, no clear spatial strategies are available for urban designers to guide them in actions against heat stress. For a specific neighbourhood in Rotterdam this paper compares the cooling effect of various climate adaptation strategies. The master plan of the Vestia housing corporation and the Rotterdam municipality has a cooling influence on 13% of the neighbourhood under the simulated climate conditions.
Simulation Fidelity: More Than Experience and Mere Repetition?
Authors: Gallagher Anthony G.  , Henn Patrick
Published: February 2025

Our understanding and use of simulation based training has evolved from simply practicing or learning performance in an accurate re-creation of the operating room as first envisaged by anaesthetist simulation pioneers. The efficacy of simulation training has been quantitatively demonstrated in prospective, randomized, double blinded studies. Simulation training models used in these studies have varied from bespoke models for training intra-corporeal suturing skills, VR emulation models for basic laparoscopic skill acquisition through to full physics VR simulations for the learning of endovascular skills. The understanding of why specific simulation models are effective needs to be better understood by trainers, researchers and engineers if simulation based training is to deliver on its potential for more advanced skills training but more importantly for the acquisition of procedural wisdom. This development will require a better understanding and more forthright approach to the issue of simulation fidelity.
Unobtrusive Augmentation of Critical Hidden Structures in Laparoscopy
Authors: Johnson Adrian S.  , Sanchez Jaime  , French Alexander  , Sun Yu
Published: February 2025

A fundamental problem in implementing augmented reality (AR) surgery is characterizing how visualizations effect surgeon perception. This problem is important because procedure outcomes depend on surgeon ability to perceive hidden and visible structure interrelation which may be quite dynamic. AR techniques such as x-ray vision are designed to compensate for or reintroduce depth cues lost overlaying hidden structures on a view stream. Such enhancements are necessarily deviations, which may obtrude. This paper provides discussion of hidden structure rendering, analysis, a proposed framework, protocol and experiment (n=2500) for safe evaluation within in vitro laparoscopic video from, and minimal transfer to, in vivo surgery. Results evidence our protocol enables comparison of hidden structure visualizations on task efficacy in vitro and suggest promising new direction towards validating AR in live surgery.
3D++ Visualisation of MEBN Graphs and Screen Representations of Patient Models (PIXIE II)
Authors: Lemke Heinz U.  , Cypko Mario  , Warner Dave  , Berliner Leonard
Published: February 2025

The aim of this study is to investigate modelling- and visualisation methods and tools for transparent, reproducible and comprehensible information management of patient probabilistic graphical models such as Multi-Entity Bayesian Networks (MEBN). In therapy planning environments, models provide the knowledge base to assist physicians in their decision making process and are typically at the heart of a networked information system. The topic of user interface design (UID) and specifically GUIs needs to be addressed in this context in a very creative manner, if the aim is to make complex models easier for the user to understand and to manage. As a basis for preparing a demonstration to show a proof of concept for the visualisation of MEBNs, the visualization tool called “ANTz” is being proposed here and used as the preferred visualisation tool.
Sensor-Based Assessment of Cast Placement and Removal
Authors: Maag Anne-Lise D.  , Laufer Shlomi  , Kwan Calvin  , Cohen Elaine R.  , Lenhart Rachel L.  , Stork Natalie C.  , Halanski Matthew A.  , Pugh Carla M.
Published: February 2025

Appropriate pressure during the application of a cast is critical to provide adequate stabilization of fractures. Force-sensing resistors (FSR) were used to measure pressure during cast placement and removal. The data demonstrated a signature pattern of skin pressure during the different steps of cast placement and removal. This reproducible signal provides validity evidence for our model.
A Hybrid Contact Model for Cannulation Simulation of ERCP
Authors: Nguyen Tuan Trung  , Kim Myeongjin  , Lee Doo Yong
Published: February 2025

This paper proposes a hybrid contact model, which enables an efficient simulation of cannulation procedure of ERCP. Meshless model and mass-spring model are employed together to construct the major papilla model. This method divides contact cases into visible and invisible contacts. We employ Signorini's contact model for visible contacts and develop the centerline-based contact model for invisible contacts. The comparison in computation time verifies that our proposed model reduces computation time up to eighty percent.