bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain and IoT Technology in Healthcare: A Review
Authors: Sivasankari B. , Varalakshmi P.
Published: May 2022

The tremendous shift in technology has led to many unconnected things getting interconnected via IoT. IoT is one of the major modes of collecting data from various networked resources and other connected devices. The broad range of IoT, with its huge heterogeneity in handling data, addresses many challenges in the realm of healthcare. Blockchain technology has elevated the use of distributed storage in a positive way. The recent emergence of this technology has paved way for potentially enormous utilization in various fields. Blockchain technology in the fields of IT, finance, industries, government, healthcare, media, and law enforcement has altered the service quality levels to an ethical ideal. Blockchain, in conjunction with IoT, facilitates decentralized collection and storage of data. Integrating blockchain with IoT has emerged as a cutting-edge tool for the decentralized sharing of medical records, monitoring of patients, ensuring the privacy of patient records, predicting the quantum of insurance, and managing supply chains.
Usability of OMOP Common Data Model for Detailed Lab Microbiology Results
Authors: Theron Emmanuelle , Gorse Jean-François , Gansel Xavier
Published: May 2022

Anti-microbial resistance surveillance systems in Europe are limited by the inability to link laboratory data and patient data. The OMOP Common Data Model (OMOP CDM) is an option to store and use patient data in an international context supporting observational research. Detailed medical microbiology laboratory data are usually not stored in OMOP CDM. We propose here a solution to deal with the inherent complexity of microbiology data and store those in the OMOP CDM v5.4. We demonstrate the feasibility of our approach by capturing data from a microbiology in vitro diagnostic middleware, modeling in OMOP CDM 5.4 and querying for visualization.
OntoBioStat: Supporting Causal Diagram Design and Analysis
Authors: Pressat Laffouilhère Thibaut , Grosjean Julien , Bénichou Jacques , Darmoni Stefan J. , Soualmia Lina F.
Published: May 2022

Suitable causal inference in biostatistics can be best achieved by knowledge representation thanks to causal diagrams or directed acyclic graphs. However, necessary and sufficient causes are not easily represented. Since existing ontologies do not fill this gap, we designed OntoBioStat in order to enable covariate selection support based on causal relation representations. OntoBioStat automatic ontological causal diagram construction and inferences are detailed in this study. OntoBioStat inferences are allowed by Semantic Web Rule Language rules and axioms. First, statements made by the users include outcome, exposure, covariate, and causal relation specification. Then, reasoning enable automatic construction using generic instances of Meta_Variable and Necessary_Variable classes. Finally, inferred classes highlighted potential bias such as confounder-like. Ontological causal diagram built with OntoBioStat was compared to a standard causal diagram (without OntoBioStat) in a theoretical study. It was found that confounding and bias were not completely identified by the standard causal diagram, and erroneous covariate sets were provided. Further research is needed in order to make OntoBioStat more usable.
Evaluating the Relevance of Virtual Drugs
Authors: Awuklu Yvon K. , Jouhet Vianney , Cossin Sébastien , Thiessard Frantz , Griffier Romain , Mougin Fleur
Published: May 2022

Information about drugs is numerous and varied, and many drugs can share the same information. Grouping drugs that have common characteristics can be useful to avoid redundancy and facilitate interoperability. Our work focused on the evaluation of the relevance of classes allowing this type of grouping: the “Virtual Drug”. Thus, in this paper, we describe the process of creating this class from the data of the French Public Drug Database, which is then evaluated against the codes of the Anatomical Therapeutic Chemical classification associated with the drugs. Our evaluation showed that 99.55% of the “Virtual Drug” classes have a good intra-class consistency.
Data Element Mapping in the Data Privacy Era
Authors: Griffier Romain , Cossin Sébastien , Konschelle François , Mougin Fleur , Jouhet Vianney
Published: May 2022

Secondary use of health data is made difficult in part because of large semantic heterogeneity. Many efforts are being made to align local terminologies with international standards. With increasing concerns about data privacy, we focused here on the use of machine learning methods to align biological data elements using aggregated features that could be shared as open data. A 3-step methodology (features engineering, blocking strategy and supervised learning) was proposed. The first results, although modest, are encouraging for the future development of this approach.
An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics
Authors: Panahiazar Maryam , Chern Yorick , Riojas Ramon , Latif Omar S. , Lokala Usha , Hadley Dexter , Sheth Amit , Beygui Ramin E.
Published: May 2022

The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in electronic medical records (EMR) with the standard vocabulary.
Beyond the Brain: MIDS Extends BIDS to Multiple Modalities and Anatomical Regions
Authors: Saborit-Torres Jose Manuel , Nadal-Almela Silvia , Montell-Serrano Joaquim Angel , Oliver-Garcia Elena , Carceller Hector , Gómez-Ádrian Jon Ander , Caparrós-Redondo Marisa , García-García Francisco , Domenech-Fernández Julio , De La Iglesia-Vayá Maria
Published: May 2022

Brain Imaging Data Structure (BIDS) provides a valuable tool to organise brain imaging data into a clear and easy standard directory structure. Moreover, BIDS is widely supported by the scientific community and has been established as a powerful standard for medical imaging management. Nonetheless, the original BIDS is restricted to magnetic resonance imaging (MRI) of the brain, limiting its implantation to other techniques and anatomical regions. We developed Medical Imaging Data Structure (MIDS), conceived to extend BIDS methodology to other anatomical regions and multiple imaging systems in these areas. The MIDS standard was developed to store and manage medical images as an extension of BIDS. It allows the user to handily save studies of multiple anatomical regions and imaging techniques. Besides, MIDS improves the classification of multiple images within the structure, allowing the possibility to unify them in a single study to apply on them preprocessing or artificial intelligence algorithms. Finally, the results generated are saved in the derivatives folder.
Implementation of Gene Expression Profiles in the HL7 FHIR Standard
Authors: Auer Florian , Abdykalykova Zhibek , Müller Dominik , Kramer Frank
Published: May 2022

Gene expression profiles can capture significant molecular differences paving the way toward precision medicine. However, clinical standards like FHIR only provide encoding of molecular sequence variations, even so, expression patterns are equally important for decision making. Here we provide an exemplary implementation of gene expression profiles of a microarray analysis using an adaption of the FHIR Genomics extension. Our results demonstrate how FHIR resources can be facilitated in bioinformatics-based decision support systems or used for the aggregation of molecular genetics data in multi-center clinical trials.
Optimization of Performance by Combining Most Sensitive and Specific Models in Data Science Results in Majority Voting Ensemble
Authors: Muylle Katoo M. , Cornu Pieter , Cools Wilfried , Barbé Kurt , Buyl Ronald , Van Laere Sven
Published: May 2022

Ensemble modeling is an increasingly popular data science technique that combines the knowledge of multiple base learners to enhance predictive performance. In this paper, the idea was to increase predictive performance by holding out three algorithms when testing multiple classifiers: (a) the best overall performing algorithm (based on the harmonic mean of sensitivity and specificity (HMSS) of that algorithm); (b) the most sensitive model; and (c) the most specific model. This approach boils down to majority voting between the predictions of these three base learners. In this exemplary study, a case of identifying a prolonged QT interval after administering a drug-drug interaction with increased risk of QT prolongation (QT-DDI) is presented. Performance measures included accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Overall performance was measured by calculating the HMSS. Results show an increase in all performance measure characteristics compared to the original best performing algorithm, except for specificity where performance remained stable. The presented approach is fairly simple and shows potential to increase predictive performance, even without adjusting the default cut-offs to differentiate between high and low risk cases. Future research should look at a way of combining all tested algorithms, instead of using only three. Similarly, this approach should be tested on a multiclass prediction problem.
Out-of-Hospital Cardiac Arrest Detection by Machine Learning Based on the Phonetic Characteristics of the Caller’s Voice
Authors: Rafi Sonia , Gangloff Cedric , Paulhet Etienne , Grimault Ollivier , Soulat Louis , Bouzillé Guillaume , Cuggia Marc
Published: May 2022

Introduction: Out-of-hospital cardiac arrest (OHCA) is a major public health issue. The prognosis is closely related to the time from collapse to return of spontaneous circulation. Resuscitation efforts are frequently initiated at the request of emergency call center professionals who are specifically trained to identify critical conditions over the phone. However, 25% of OHCAs are not recognized during the first call. Therefore, it would be interesting to develop automated computer systems to recognize OHCA on the phone. The aim of this study was to build and evaluate machine learning models for OHCA recognition based on the phonetic characteristics of the caller’s voice. Methods: All patients for whom a call was done to the emergency call center of Rennes, France, between 01/01/2017 and 01/01/2019 were eligible. The predicted variable was OHCA presence. Predicting variables were collected by computer-automatized phonetic analysis of the call. They were based on the following voice parameters: fundamental frequency, formants, intensity, jitter, shimmer, harmonic to noise ratio, number of voice breaks, and number of periods. Three models were generated using binary logistic regression, random forest, and neural network. The area under the curve (AUC) was the primary outcome used to evaluate each model performance. Results: 820 patients were included in the study. The best model to predict OHCA was random forest (AUC=74.9, 95% CI=67.4-82.4). Conclusion: Machine learning models based on the acoustic characteristics of the caller’s voice can recognize OHCA. The integration of the acoustic parameters identified in this study will help to design decision-making support systems to improve OHCA detection over the phone.
Towards the Improvement of Clinical Guidelines Based on Real World Data
Authors: Henke Elisa , Reinecke Ines , Zoch Michele , Sedlmayr Martin , Bathelt Franziska
Published: May 2022

Computerized clinical guidelines (CCG) are effective instruments for standardizing, monitoring and optimizing medical treatment processes. Nevertheless, due to barriers in flexibility, transferability and acceptance, the widespread use of CCG in clinical practice is not yet common. To overcome those issues, we present a concept on how to use real world data to evaluate CCG and to recommend improvements. As a first result, we defined an algorithm to extract treatment processes based on the standardized Observational Medical Outcomes Partnership (OMOP) Common Data Model as well as their visualization using the graphical modeling language Business Process Model and Notation (BPMN).
Implementation of a Data Warehouse in Primary Care: First Analyses with Elderly Patients
Authors: Fruchart Mathilde , Quindroit Paul , Patel Haris , Beuscart Jean-Baptiste , Calafiore Matthieu , Lamer Antoine
Published: May 2022

The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient’s overall care pathway in the clinical domain. Regarding primary care data, the implementation of this type of warehouse in a routine way is hindered in particular by the analysis of textual data provided by general practitioners during patient consultations. In our study we collected primary care data for standardization in a data warehouse. The purpose of this analysis was to assess the feasibility of analyzing primary care data, and particularly to study the consultations and prescriptions of the elderly patient contained in our primary care data warehouse.
Patients’ Access to Their Psychiatric Records – A Comparison of Four Countries
Authors: Bärkås Annika , Hägglund Maria , Moll Jonas , Cajander Åsa , Rexhepi Hanife , Hörhammer Iiris , Blease Charlotte , Scandurra Isabella
Published: May 2022

Several Nordic and Baltic countries are forerunners in the digitalization of patient ehealth services and have since long implemented psychiatric records as parts of the ehealth services. There are country-specific differences in what clinical information is offered to patients concerning their online patient accessible psychiatric records. This study explores national differences in Sweden, Norway, Finland, and Estonia in patient access to their psychiatric records. Data was collected through a socio-technical data collection template developed during a workshop series and then analyzed in a cross-country comparison focusing on items related to psychiatry records online. The results show that psychiatric records online are offered to patients in all four countries, and provide the same functionality and similar psychiatry information. Overall, the conclusion is that experiences of various functionalities should be scrutinized to promote transparency of psychiatric records as part of the national eHealth services to increase equality of care and patient empowerment.
Healthcare Professionals’ Experiences of the Work Environment After Patients’ Access to Their Electronic Health Records – A Qualitative Study in Primary Care
Authors: Muli Irene , Scandurra Isabella , Cajander Åsa , Hägglund Maria
Published: May 2022

For healthcare personnel, the work environment is already challenging, and when eHealth systems are introduced they are often considered to further add to the complexity. This paper investigates the impact of patients’ access to their electronic health records on healthcare professionals’ work environment in a primary care setting in Sweden. A work environment theory-driven analysis, focusing on perceived demands, control and support, was conducted on 14 semi-structured interviews of different primary care professionals. The professionals expressed a slight increase in demands, loss of control and some increase and decrease of support. This study discusses insights on how patients’ access to health records can have an impact on healthcare professionals’ work environment.
Discovery of Biomedical Databases Through Semantic Questioning
Authors: Pereira Arnaldo , Almeida João Rafael , Lopes Rui Pedro , Pazos Alejandro , Oliveira José Luís
Published: May 2022

Many clinical studies are greatly dependent on an efficient identification of relevant datasets. This selection can be performed in existing health data catalogues, by searching for available metadata. The search process can be optimised through questioning-answering interfaces, to help researchers explore the available data present. However, when searching the distinct catalogues the lack of metadata harmonisation imposes a few bottlenecks. This paper presents a methodology to allow semantic search over several biomedical database catalogues, by extracting the information using a shared domain knowledge. The resulting pipeline allows the converted data to be published as FAIR endpoints, and it provides an end-user interface that accepts natural language questions.
The Rising Importance of e-Health in Norway
Authors: Wynn Rolf , Traver Salcedo Vicente , Ellingsen Gunnar
Published: May 2022

Drawing on three central sources of data on the development in e-health use in Norway (studies from the Norwegian Centre for e-Health Research, studies from Statistics Norway, and the Tromsø 7 Study), we describe the rising importance of e-health. Originally restricted to a limited use within the health services, in recent years the use of e-health has gained momentum both in the general population and within the traditional health services, as the Internet has offered easy access to health information as well as a range of other health-related services.
Gamification and Coaching in Remote Monitoring and Care Platforms
Authors: Pardos Antonios , Menychtas Andreas , Gallos Parisis , Panagopoulos Christos , Maglogiannis Ilias
Published: May 2022

Nowadays, several e-health systems are equipped with advanced features for patients monitoring and care. Among these features, gamification and operations supporting the patients’ adherence to therapeutic and care plans have been found to be quite useful and valuable. Among others, the introduction of intelligent patient coaching and the provisions of recommendations are very popular. The aim of this paper is to present specific gamification and coaching approaches that could be employed in the context of an existing eHealth system for remote monitoring and care for elders. The “Points, Badges and Leaderboards” gamification approach was followed. Specifically, parameters related to the application usage (daily points), the physical activity (number of daily steps), the sleep quality (sleep score) and other measurements (i.e. weight) were utilized to accommodate elders needs for motivation and engagement. Regarding the coaching, motivational messages and notification for the mobile devices were selected to deliver the relative information to the elders. A prototype health information system with a corresponding mobile application was adapted to include gamification and coaching features to motivate elders in order to achieve the maximum adherence on their monitoring and care health plans. The paper presents the design issues and summarizes the technical details.
Identifying Homogeneous Patient Clusters in Swiss University Hospital Through Latent Class Analysis
Authors: Cohen Gilles , Briot Pascal , Chopard Pierre
Published: May 2022

In hospitalized populations, there is significant heterogeneity in patients’ characteristics, disease severity, and treatment responses, which translates into different related outcomes and costs. Identifying inpatient clusters with similar clinical profiles could lead to better quality and personalized care while improving clinical resources used. Super-utilizers (SUs) are one such a group, who contribute a substantial proportion of health care costs and utilize a disproportionately high share of health care resources. This study uses cost, utilization metrics and clinical information to segment the population of patients (N=32,759) admitted to the University Hospitals of Geneva per year in 2017 - 2019. Using Latent Class Analysis it identifies 8 subgroups with highly similar patients demographics, medical conditions, types of service and costs within groups and which are highly different between groups. As such 82% of all SU patients, 99% of all patients less than 20 years old and 78% of all orthopedics patients are clustered into only 3 separate groups while one group contain only adult women 90% of them 20 to 40 years of age.
Healthcare Insights: Evaluating the Access to the Italian Healthcare System
Authors: Bonetto Monica , Maggi Norbert , Fuschi Damiano , Venturi Alessandro , Brogonzoli Luisa , Iardino Rosaria , Giacomini Mauro
Published: May 2022

The Italian health system is organised on a regional basis and services are provided by both public and private operators, affecting the planning of services, access to services by citizens and their health rights. The creation of an observatory monitoring the methods and times of access to healthcare services has been pursued. The preliminary phase of the project is presented, which will lead to the comparison of the data obtained from 2019, with an eye on the Covid-19 pandemic impact.
ILEG – A Case of Recording Patient Journeys
Authors: Volmerg Julia S. , Bienzeisler Jonas , Klausen Andrea D. , Seeger Insa , Günther Ulf , De Sordi Dominik , Röhrig Rainer
Published: May 2022

In 2019 the Gemeindenotfallsanitäter was introduced in the area of Oldenburg, and scientific monitoring starting 2021 with Inanspruchnahme, Leistungen und Effekte des Gemeindenotfallsanitäters. Since then, it is possible to track patient journeys, starting from the emergency call to the subsequent treatment. This short communication provides an overview of the necessary data-acquisition and dataflow from all participating institutions and its possibilities.
Identifying Determinants of Disparities in Lung Cancer Survival Rates from Electronic Health Record Data
Authors: Cui Wanting , Finkelstein Joseph
Published: May 2022

The goal of this pilot study was to identify significant factors that affect disparities in lung cancer survival. A de-identified dataset was generated by querying electronic health records (EHR) from an academic medical center in New York City between January 2003 and November 2020. Socio-demographic characteristics, cancer stage, and genetic profile were analyzed using logistic regression. Two subsets of adult patients were identified: patients who were deceased less than 1 year after diagnosis and patients who survived over 5 years after diagnosis. Male, Black and Hispanic patients and those who were diagnosed in later stages were the people most susceptible to a shorter length of survival after cancer diagnoses. In addition, we identified three genetic oncodrivers (KRAS, EGFR and TP53) which were highly correlated with the length of survival after lung cancer diagnoses and their distribution was associated with race. We concluded that EHR data provide important insights on cancer survival disparities.
Personal Health Records an Approach to Answer: What Works for Whom in What Circumstances?
Authors: Andrikopoulou Elisavet , Scott Philip
Published: May 2022

National Health Service (NHS) policy suggests that increasing usage of electronic personal health records (PHR) by patients will result in cost savings and improved public health, especially for people with long-term conditions. PHR design features are inevitably important, since a good PHR design should make the users achieve their health goals effortlessly, which is understandable and usable. Three original theoretical models were developed using realist evaluation, one per long-term condition cohort, describing the interaction between the PHR design features and the patient and disease specific factors, to help determine what works for whom in what circumstances.
Experiences Using Patient and Public Involvement in Digital Health Research for Multiple Sclerosis
Authors: Yrttiaho Tiia , Isomursu Minna , Giunti Guido
Published: May 2022

Patient and public involvement (PPI) is increasingly used for improving quality of the research. There are many barriers in translating PPI into practice, including lacking examples of good practices. Frameworks that have been developed in one setting do not readily transfer to other settings. In this paper, we examine the implementation of PPI in the context of a digital health research project that explores the design, development and use of mHealth for persons with Multiple Sclerosis taking an iterative user-centered design approach. Methods: Instrumental case study to describe the PPI process on a digital health research project. Results: Overall experience was positive. We found 3 roles for PPI involvement: strategic members; design and development partners; and expert members. Challenges lay on unclear PPI terminology; managing roles and expectations; and ensuring accessibility.
Using Simulations to Train Medical Students for Unanticipated Technology Failures in Telemedicine
Authors: Monkman Helen , Palmer Ryan , Ijams Shannon , Kollaja Liz , Rodriguez Kristin A. , Liew Andrew , Wickham Anna , Wen Frances , Miller Bernadette , Lesselroth Blake J.
Published: May 2022

Simulations offer a safe environment for health professional training and the opportunity to predictably and consistently introduce events or variables that may be rare or dangerous in a live setting. Exposing trainees to unanticipated events during simulations can improve their ability to adapt and improvise. The COVID-19 pandemic accelerated the adoption of telehealth worldwide and highlighted the need for better training in health professional schools. In the United States, the Association of American Medical Colleges (AAMC) published new telehealth competency standards in 2021. The AAMC stated that health care providers should be aware of the risks of technology failures, capable of troubleshooting them, and lead systems interventions to improve safety. However, the AAMC does not provide guidance on the specific failures or solutions. In this study, we developed a set of technology failures that can be simulated in a telehealth curriculum. We incorporated one technology failure into a simulated telehealth encounter and gathered students’ (N = 53) feedback on the exercise. Students’ feedback was overwhelmingly positive. They agreed that integrating technology failures into telehealth simulations provides important practice managing these events during clinical encounters. While telehealth is an important healthcare delivery modality that can improve access-to-care, it is imperative to train medical students to navigate technology failures so that can adeptly manage these issues in clinical practice.
Discovering Rules from a National Exam Repository: A Use Case for Data Analysis from Iranian Medical Schools Entry Exam
Authors: Zehtab Hashemi Hanieh , Abedian Somayeh , Parvasideh Parvane , Bahrevar Zahra , Madani Sina
Published: May 2022

Many methods have been studied to analyze and interpret patterns and relationships that are embedded in the database to discover new knowledge in educational systems. Association rule mining is a type of data mining that identifies relationships among elements of the dataset. However, because these methods often generate various rules including non-significant ones, it is important to identify the most useful rules. Therefore, evaluating and ranking rules has become a topic of interest in the decision-making process in order to represent the level of usefulness of rules. We incorporated Apriori and Eclat algorithms on an educational dataset of a national medical exam in Iran. The aim of this study is to identify the usefulness of the extracted rules. This method can reliably discover new knowledge by interpreting the prioritized rules. The results show that those who have Scored in the highest category, i.e. [407,493], are accepted and who have scored in the lowest category, i.e. [150,236), are not accepted in the exam regardless of others features. Although, the rules that implication Accept=0 occurs, find out with high confidence, due to a large number of samples in this case. The ranking rules show this method is effective in the identification of insignificant rules that have no effect on decision making.
Online Usability Tool – First Experiences from Testing a Ventilator Interface
Authors: Coldewey Beatrice , Röhrig Rainer , Lipprandt Myriam
Published: May 2022

Usability tests of medical devices are mainly conducted on-site, but remote tests can also be suitable for quick feedback. Using the online survey tool SoSci Survey and videos of a ventilator interface prototype, a usability test environment was developed which allows participation independent of time and place.
Diverse Recruitment Strategies Are Needed to Reduce Digital Divide: Results from a Workshop Addressing Digital Divide and Effects of Pandemic Restrictions
Authors: Bradway Meghan , Årsand Eirik
Published: May 2022

Recruitment is a bottleneck for research – especially digital health studies. Studies often focus on those who are easy to reach or already engaged in their health, leaving those who are uninterested or un-engaged, as “un-reached”. This contributes to the “digital divide”. COVID-19 restrictions made recruitment more difficult. During a virtual workshop of our peers, we discussed recruitment of un-reached groups for digital health studies, especially during COVID-times. All agreed; we need to go where the un-reached are by collaborating with community-based services and organizations.
Testing Medical Student Diagnostic Reasoning Using Clinical Data Visualizations
Authors: Cheng Lucille , Senathirajah Yalini
Published: May 2022

This experiment aimed to (1) induce System-1-type diagnostic reasoning in medical students through the acquisition of cognitive user interface (UI) heuristics and (2) understand qualitatively how clinical data visualizations could enhance medical education. Third- and fourth-year medical students were presented patient cases through a novel electronic health record (EHR) design then asked to diagnose patients after being shown the cases either briefly and repeatedly (Group A) or twice over a longer period (Group B). Group A had higher accuracy than Group B. Findings support the possibility of inducing System-1 reasoning via UI heuristics and potential of integrating data visualizations in medical education.
Topic Modeling for International Patients’ Consultations Using Natural Language Processing
Authors: Lee Sunmi , Sung Sookkyung , Young Kang Seo , Ha Sujin , Jeon Eunjoo
Published: May 2022

We extracted major topic by applying natural language processing and keyword extracting using TF, TF-IDF, TextRank, Yake, KeyBERT. 1452 consultation data were collected from the website and official hospital e-mail. We found six topics categorized into “Medical opinion” related to hospital characteristics and “Non-medical service guidance”. Based on this result, it is necessary to establish marketing plan and develop a digital solution for effective consultation.
Patient Safety Informatics: Criteria Development for Assessing the Maturity of Digital Patient Safety in Hospitals
Authors: Kutza Jan-Oliver , Hübner Ursula , Holmgren A. Jay , Esdar Moritz
Published: May 2022

With the start of the 21st century, patient safety as a topic of special interest has attracted increasing attention in both academia and clinical practice. As technology has continued to develop since then, questions and focal points surrounding the topic have also shifted. In particular, questions regarding the impact of digitalization on patient safety and its measurement are now of high interest. This work aims to develop a maturity assessment instrument in the form of a criteria set for measuring structural requirements for digital patient safety in hospitals. Based on the results of a literature review and a derivation of maturity objects (MO) from known maturity models, 64 criteria across 11 categories were developed. Written comments of two digital patient safety experts as well as subsequent interviews were used to evaluate and refine the criteria catalog. The resulting catalog offers hospitals guidance for detecting possible areas of structural improvements in their information systems with regard to patient safety and represents a unique instrument for assessing digital maturity in this particular area.
The First Introduction of Social Robotics in Rehabilitation Care
Authors: Hurmuz Marian , Jansen-Kosterink Stephanie , Flierman Ina , Fard Behrouz , Van Velsen Lex
Published: May 2022

Can you imagine to receive treatment through a robot? When talking about the future of healthcare, this is the vision many people have. Currently, the predominant role of social robots in care is entertaining patients. However, this does not have an impact on care process itself. In this paper, we focus on defining use cases other than merely keeping patients’ company by implementing a Pepper robot in inpatient rehabilitation setting, and expand upon usability testing the use cases. Our findings showed that, to ensure sustainable implementation of social robots in care organizations, we need excessive collaboration with the target population.
Personalising Symptoms Reporting in Telemonitoring Applications for Cancer Patients
Authors: Sacchi Lucia , Veggiotti Nicole , Girani Emanuele , Tibollo Valentina , Quaglini Silvana
Published: May 2022

Patient reported outcomes have been shown to be predictive of cancer patients’ prognosis, and their monitoring through electronic applications have been shown to positively impact survival. On the other hand, patient apps in general show a number of criticalities that often lead patients to abandon their use. One of them is usability. A scarce attention to usability during app development leads to unsatisfactory user experience. In this work, we present an algorithm to facilitate patient symptoms reporting, by personalising the list of symptoms according to their probability of occurrence in the specific patient. This avoids searching long lists of items, thus decreasing the patients’ burden in symptom reporting.
Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis
Authors: Veeranki Yedukondala Rao , Ganapathy Nagarajan , Swaminathan Ramakrishnan
Published: May 2022

In this work, an analysis based on complex demodulation is proposed to classify dichotomous emotional states using Electrodermal activity (EDA) signals. For this, annotated happy and sad EDA is obtained from an online public database. The sympathetic activity indices, namely Time-varying (TVSymp) and Modified TVSymp, are computed from the reconstructed EDA signal. Further, the derivative of phasic EDA is calculated from the phasic component obtained using the convex optimization (cvxEDA) based EDA decomposition method. Five statistical features are computed from each index and used for the classification. The results of the classification indicate that these features are capable of differentiating happy and sad emotional states with 75% accuracy. This technique could be effective in the identification of clinical disorders associated with happy and sad emotional states.
How to Publish Wearables’ Data: Practical Guidelines to Protect User Privacy
Authors: Marchioro Thomas , Kazlouski Andrei , Markatos Evangelos
Published: May 2022

The spread of wearable fitness trackers has contributed to the increase of various fitness studies, utilizing such devices to collect data from a group of users. When these data are disclosed, the lack of sanitization can lead to severe privacy risks. In this paper, we discuss the various threats that are posed by disclosing unaltered information from wearable devices. We also dismiss common fallacies of fitness data sharing and present practical guidelines to preserve user privacy.
Levocetirizine for the complex treatment of allergic dermatitis
Authors:   Central State Medical Academy, Moscow, Russian Federation, Kruglova L.S. , Bakulev A.L. ,   Central State Medical Academy, Moscow, Russian Federation
Published: May 2022

Allergic dermatitis is one of the most common skin diseases. Pathogenically, allergic dermatitis is a delayed hypersensitivity reaction. Allergic dermatitis is provoked by various agents that penetrate the skin. More than 3,500 potential contact allergens were described. The immune response in allergic dermatitis is conventionally characterized by two phases, afferent and efferent. Treatment for allergic dermatitis includes topical and systemic therapies (antihistamines) and physiotherapy. The authors address their experience with the management of patients with allergic dermatitis. Twenty-eight patients were enrolled. The predominant clinical manifestations were erythematous lesions, infiltration, and vesicles associated with itching. All patients received levocetirizine 5 mg daily and topical steroids (methylprednisolone acetate propionate) for 10–15 days. After 2 weeks, this treatment resulted in complete symptom relief. Complex treatment for allergic dermatitis (levocetirizine 5 mg daily and topical steroids) is effective against all clinical symptoms, including itching. KEYWORDS: allergic dermatitis, treatment, antihistamines, levocetirizine, visual analogue scale, Dermatology Life Quality Index. FOR CITATION: Kruglova L.S., Bakulev A.L. Levocetirizine for the complex treatment of allergic dermatitis. Russian Medical Inquiry. 2022;6(2):105–109 (in Russ.). DOI: 10.32364/2587-6821-2022-6-2-105-109.
Los principios concursales del procedimiento de constitución, distribución y reparto del fondo de limitación de responsabilidad de la empresa naviera
Authors: Pezoa Huerta Renato
Published: May 2022

Los principios constituyen, potissima pars principium est, el alma de las instituciones jurídicas, y facilitan la aplicación, interpretación e integración de las normas jurídicas, con un sentido de unidad y sistema a su respecto. En este orden, el presente artículo pretende estudiar, determinar y describir los principios concursales que informan al procedimiento de constitución, distribución y reparto del fondo de limitación de la empresa naviera, previa examinación del instituto en comento; principios estos que serán contrastados sucintamente, en definitiva y en lo pertinente, con aquellos que dan fisonomía a los procedimientos concursales generales dentro del ordenamiento jurídico nacional.
Щодо суб’єктів проведення слідчих (розшукових) дій, що обмежують недоторканність житла чи іншого володіння особи
Authors: Salmanov O. V.
Published: May 2022

Визначено основних владних суб’єктів, які діють під час проведення слідчих (розшукових) дій на стадії досудового розслідування. Акцентовано на тому, що закріплена чинним Кримінальним процесуальним кодексом України форма вітчизняного кримінального процесу, побудованого на підставі конституційних принципів змагальності та рівності сторін кримінального провадження, обумовила необхідність відмежувати таке поняття, як «суб’єкти проведення слідчих (розшукових) дій, що обмежують недоторканність житла чи іншого володіння особи», від загального поняття «учасники слідчих (розшукових) дій» з метою недопущення будь-яких порушень конституційних прав усіх учасників кримінальної процесуальної діяльності з боку владних суб’єктів кримінального провадження.
Процесуальні особливості допиту неповнолітнього, який підозрюється у вчиненні вбивства
Authors: Zavorina О. Р.
Published: May 2022

Статтю присвячено аналізу процесуальних особливостей проведення допиту неповнолітнього, який вчинив кримінальне правопорушення, зокрема вбивство. Проаналізовано процесуальний порядок і тактичні особливості проведення допиту неповнолітньої особи, визначені в міжнародному законодавстві. Розглянуто критерії, певні правила проведення допиту, а також вимоги до проведення такої процесуальної дії. Установлено необхідність подальшого вдосконалення національного законодавства відповідно до міжнародних стандартів у галузі кримінального процесуального забезпечення досудового розслідування. Звернуто увагу на відсутність законодавчо регламентованої процедури допиту неповнолітніх за методом «Зеленої кімнати» та невідповідність національного законодавства України вимогам Конвенції про права дитини (1991 р.), що висуваються до осіб, які допитують неповнолітніх.
Можливості використання досвіду країн ЄС у сфері здійснення поліцією превентивної діяльності в Україні
Authors: Prokopenko O. Yu. , Bulatin D. O. , Kushnirenko R. O.
Published: May 2022

Розглянуто особливості превентивної діяльності у країнах Європейського Союзу. Визначено підходи дослідників до розуміння поняття «превенція». Зазначено, що у вітчизняній юридичній думці відсутній єдиний підхід до розуміння цього поняття. Приділено увагу відомим методам превентивної роботи поліцейських зарубіжних країн, які дають змогу попереджати злочини і затримувати злочинця, який ще тільки готується вчинити злочин. Окреслено моделі забезпечення превентивної діяльності, які використовуються у країнах континентальної Європи. Звернено увагу на особливості здійснення превенції окремими членами Європейського Союзу, зокрема на профілактику польською поліцією рецидиву з боку осіб, які вже вчиняли правопорушення.
Адаптація скринінгового опитувальника п’яти факторів особистості BFI-10 та перевірка його діагностичних властивостей на прикладі осіб, які вживають наркотики
Authors: Serdiuk О. О. , Bazyma В. О.
Published: May 2022

Описано процес адаптації, перевірки конструктної валідності та діагностичних властивостей скринінгового опитувальника BFI-10 для експрес-діагностики п’яти факторів особистості. Валідізація проводилась у вигляді заповнення паралельних форм опитувальника 5PFQ (валідізований варіант А. Б. Хромова, N = 2492), опитувальника LBP (валідізований варіант Л. Ф. Бурлачука і Д. К. Корольова, N = 246) та опитувальника BFI-10. Коефіцієнти кореляції Пірсона між результатами вимірювань 5PFQ, LBP та BFI-10 виявилися значущими на рівні p < 0,01 для всіх шкал, альфа Кронбаха коливається у межах 0,64–0,88. Адаптований нами варіант BFI-10 показав свою діагностичну придатність у дослідженні осіб, які вживали і не вживали наркотики (N = 4723), виявивши між ними статистично достовірні відмінності за чотирма з п’яти факторів «великої п’ятірки», найбільші за фактором «С» – Свідомість (t = –8,504; p < 0,01).
Аморальний проступок, не сумісний з продовженням роботи, як підстава розірвання трудового договору з ініціативи власника або уповноваженого ним органу
Authors: Sychova V. V.
Published: May 2022

На підставі комплексного аналізу вітчизняних законодавчих положень та широкого кола теоретико-правових підходів до розуміння аморального проступку, не сумісного з продовженням роботи, з’ясовано правовий зміст досліджуваного поняття та сформульовано його визначення. Висвітлено та узагальнено особливості правового регулювання розірвання трудового договору за п. 3 ч. 1 ст. 41 КЗпП України. Наголошено на важливій ролі суду під час вирішення питання про правомірність розірвання трудового договору на вказаній підставі. Це наукове дослідження сприятиме формуванню всебічного та комплексного наукового підходу до розуміння правової сутності аморального проступку як підстави розірвання трудового договору з ініціативи власника або уповноваженого ним органу в світлі сучасних умов реформування національного трудового законодавства.
Квінтесенція правосвідомості як чинника девіантної поведінки
Authors: Pevko S. H.
Published: May 2022

Метою цієї роботи є визначення ціннісного значення правосвідомості як чинника злочинної поведінки. Ураховуючи, що правосвідомість притаманна будь-якій фізичній особі у правових державах, її рівень може визначатися як в об’єктивному сенсі (розглядаючи її ступінь на державному рівні, враховуючи як мірило рівень злочинності), так і в суб’єктивному (розглядаючи рівень правосвідомості окремої особи через її поведінку). За допомогою аналізу теоретичної складової та судової практики визначено чинники впливу на правосвідомість. З урахуванням сукупності негативних факторів дії на правосвідомість запропоновано шляхи подолання негативних наслідків, що допоможуть підвищити рівень правосвідомості осіб.
Сутність та особливості нормативно-правової регламентації структури Національної поліції України
Authors: Pchelin V. B. , Kikinchuk V. Y.
Published: May 2022

Визначено сутність і проаналізовано особливості нормативно-правової регламентації структури Національної поліції України. Сформульовано авторське бачення структури Національної поліції України. Визначено, що структура Національної поліції України є складною та багатоаспектною, оскільки містить доволі значну кількість складових, з урахуванням чого для її повноцінного дослідження критерієм проведення аналізу було обрано функціональну спрямованість структурних складових Національної поліції України. Установлено та проаналізовано сукупність нормативно-правових актів, на підставі положень яких здійснюється нормативно-правова регламентація структури Національної поліції України за функціональним призначенням. Визначено окремі нормативно-правові акти та їх норми, які потребують внесення відповідних змін для підвищення ефективності нормативно-правової регламентації структури Національної поліції України.
Правосуб’єктність юридичних осіб: окремі проблемні аспекти
Authors: Chalyi Yu. I.
Published: May 2022

Зосереджено увагу на визначенні поняття та елементів правосуб’єктності юридичних осіб. Зроблено висновок про те, що такими елементами слід визнавати як правоздатність, так і дієздатність. Правоздатність визначає правове буття юридичних осіб і вказує на обсяг можливостей їх участі в цивільних чи інших правовідносинах. Аргументовано, що за своєю спрямованістю правоздатність юридичних осіб некоректно визначати через категорії «загальна» («універсальна») чи, навпаки, «спеціальна» («цільова»). Також зауважено, що функціональне призначення дієздатності полягає у встановленні кола осіб (органів, посадових осіб, учасників тощо), волею та волевиявленням яких суб’єктна правова потенція юридичних осіб може бути реалізована.
Право дружини на утримання під час вагітності та в разі проживання з нею дитини у віці до трьох років
Authors: Yevko V. Yu.
Published: May 2022

Розглянуто проблеми здійснення вагітною жінкою та жінкою, з якою проживає дитина у віці до трьох років, свого права на утримання від чоловіка. Метою дослідження є формулювання теоретичних положень і практичних рекомендацій щодо застосування норм, які регулюють порядок здійснення жінкою права на утримання. Дослідження чинного законодавства й аналіз практики розгляду судами справ про надання утримання дружині дали змогу зробити висновок, що ч. 5 ст. 84 СК України унеможливлює здійснення вагітною дружиною свого права на утримання від чоловіка під час вагітності. Можливість чоловіка надавати матеріальну допомогу дружині має оцінюватись судом на підставі комплексу фактів, які характеризують його матеріальне становище. За прострочення чоловіком сплати аліментів на утримання дружини може бути застосована відповідальність у вигляді пені, передбачена ст. 196 СК України.
Вивчення деяких особливостей діяльності підрозділів поліції спеціального призначення зарубіжних країн
Authors: Borovyk М. О.
Published: May 2022

Проаналізовано діяльність спеціальних підрозділів поліції таких країн, як Польща, Німеччина та США, аналіз здійснено з метою визначення пріоритетних напрямів формування особистості бійця вітчизняних підрозділів поліції особливого призначення. Під час дослідження було визначено базові принципи та змістові елементи підготовки поліцейських у зазначених країнах.

Охарактеризовано поліцейські функції спеціальних підрозділів поліції, розглянуто умови створення та визначено чинники їх реорганізації. Подано відомості щодо етапів відбору, організаційної структури і матеріально-технічного забезпечення, виокремлено загальні тенденції, характерні для спеціальних підрозділів поліції зазначених країн. Установлено спільні особистісні якості, вдосконалення яких дасть змогу підрозділам поліції особливого призначення ефективно виконувати завдання, що на них покладаються.