Journal of Applied Interdisciplinary Research
type: channel
description: The Journal of Applied Interdisciplinary Research (JAIR) is a new open access and peer-reviewed journal published by the Deggendorf Institute of Technology in Bavaria. It is a series of the Bavarian Journal of Applied Research (BJAS). Different to BJAS, JAIR is an English language publication channel, and contributions should address interdisciplinary issues or be written from an interdisciplinary perspective. It is one of the first academic journals in applied sciences with an explicit focus on interdisciplinary papers. JAIR is available in online format.
publisher: Deggendorf Institute of Technology
language: en
publication name: Journal of Applied Interdisciplinary Research
issn: 2940-8199
items: The Influence of Spatial and Temporal Dimensions on the Success of Participation in Czech-Bavarian Interreg Projects
items: Lifestyle Risk Factors and Health Indicators in Students at a Bavarian University: A Cross-Sectional Study of Physical Activity, Diet, Stress, Sleep Quality, and Body Mass Index
items: Editors' Preamble
items: DigiHealth-AI: Outcomes of the First Blended Intensive Programme (BIP) on AI for Health – a Cross-Disciplinary Multi-Institutional Short Teaching Course
items: Vector Diagnosis of Patient Conditions in Telemedicine
items: A Scoping Review of the Role of Clinical Decision Support Systems in Intensive Care Units during the COVID-19 Pandemic
items: Medical Data Compatibility Problems in the Tasks of Information Systems Integration
items: Innovative Databases in Ecomonitoring Information Systems: Images of Genetic Codes as Keys
items: Advancing Healthcare: AI Integration, Interoperability and Sustainability Challenges
items: Unlocking the Power of Health Data by Ensuring the Public can Trust the EHDS
items: Global Digital Health Diplomacy: The Global-EHR and First Steps for a Global Treaty on Digital Health
items: Foreword
items: Guest Editorial
items: From Necessity to Pleasure: The Impact of Hedonic Motivation and Performance Expectancy on Acceptance of Online Grocery Shopping Apps in Germany
items: Improving Customer Experience Using Smart Technologies in Smart Stores
items: AI Integration in EHR-Based Pharmacovigilance: A Comparative Study of Germany and Egypt
items: Bioelectronic Medicine and Non-Communicable Diseases: Rationale for Clinical Significance, Prospects and Problems
items: Alumni Voice Session at the DigiHealthDayS-2024
items: Transitioning from Paper to Electronic Medical Records in Austrian Helicopter Emergency Medical Services: A Usability Evaluation
items: The Business Model Framework for Digital Health Start-ups in Europe, based on the Innovation Landscape
items: Navigating the Divide: Informatics as Science and Digitalization as Practice
items: Scientific Session on Thursday, November 14th
items: Engaging Patients and Citizens in Digital Health – Opportunity or Challenge?
items: True Innovation is an Idea Turned into Value
items: Transforming Healthcare: Bridging Digital Maturity, Health Data, and Global Policy
items: Towards a Globally Recognized and Harmonized Degree of Master of Digital Health (MDH): The Case for an MDH Alliance
items: Digital Health: Implementing at Scale (How Can International and Bavarian Experiences Cross-Fertilize Each Other?)
items: AI Needs High-Quality Health Data at Scale - Will the EHDS Deliver?
items: Moonshot Dialogue: The Future of AI in Healthcare and Cutting Edge Digital Health Technologies

The Influence of Spatial and Temporal Dimensions on the Success of Participation in Czech-Bavarian Interreg Projects
type: item
description: The aims of Interreg projects include strengthening cross-border cooperation between regions in Europe, contributing to sustainable regional development, facilitating knowledge exchange and innovation, and promoting social and cultural integration. Participation of citizens and key stakeholders plays a central role in this process. The article presents the results of an evaluation of participatory events in two Interreg projects in the Bavarian-Czech border region. The evaluation focuses primarily on the influence of the spatial and temporal dimensions of events taking place within funded Interreg projects. Our findings highlight the importance of tailoring participation event formats in Interreg projects to regional characteristics, including rural settings, cross-border dynamics, and current developments in citizen participation. The study concludes with recommendations for optimizing spatial and temporal parameters in participatory formats.
subject: Article
  topic: section
subject: Interreg
  topic: keywords
subject: participation
  topic: keywords
subject: spatio-temporal dimension
  topic: keywords
creator: Johanna Trager
creator: Jane Käser
creator: Roland Zink
rights: Copyright (c) 2026 Dr. Johanna Trager, Dr. Jane Käser, Prof. Dr. Roland Zink (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-30
publication date: 2026-07-30
starting page: 37
ending page: 51
doi: 10.25929/a71msz76

Lifestyle Risk Factors and Health Indicators in Students at a Bavarian University: A Cross-Sectional Study of Physical Activity, Diet, Stress, Sleep Quality, and Body Mass Index
type: item
description: This study aimed to assess the frequency of selected lifestyle risk factors and health indicators among university students, and to examine their interrelationships and variation according to demographic and academic characteristics. A cross-sectional study was conducted using an online survey among students (n = 106) at the Deggendorf Institute of Technology (DIT), a higher education institution in Bavaria, Germany. Sleep quality/insomnia and increased BMI were assessed as health indicators, while stress, physical activity, and diet were evaluated as lifestyle risk factors. Information on demographic and academic characteristics was also collected. Descriptive statistics were used to summarize the study variables. Differences in categorical outcomes across levels of continuous predictors were assessed using Student’s t-test or one-way analysis of variance (ANOVA), while differences according to categorical predictors were evaluated using the Chi-square test. Associations between continuous variables were examined using Pearson correlation coefficients. Logistic regression models were used to explore potential predictors of insomnia and increased BMI after adjusting for relevant covariates. Insufficient physical activity was the most common lifestyle risk factor among students (47.9%), followed by high stress (25.5%) and poor diet (16.7%). Regarding the selected health indicators, 45.3% of students were classified as overweight or obese and 26.9% had probable insomnia. Among complete cases, 42.6% presented none of the selected health indicators, 31.9% had increased BMI only, 12.8% had probable insomnia only, and 12.8% presented both increased BMI and probable insomnia. When examining correlations among lifestyle risk factors, only diet quality showed a significant inverse correlation with physical activity (r = −0.289, p = 0.005). Among the lifestyle risk factors, stress showed a borderline correlation with sleep quality (r = −0.189, p = 0.057). Overall, high stress…
subject: Article
  topic: section
subject: student health
  topic: keywords
subject: stress
  topic: keywords
subject: sleep
  topic: keywords
subject: physical activity
  topic: keywords
subject: diet
  topic: keywords
creator: Sally Meyer
creator: Steven Cuadra
creator: Sabine Dittrich
rights: Copyright (c) 2026 Sally Meyer, Steven Cuadra, Sabine Dittrich (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-30
publication date: 2026-07-30
starting page: 6
ending page: 36
doi: 10.25929/m0waw720

Editors' Preamble
type: item
description: It is with great pleasure that we present the first volume of the Journal for Applied Interdisciplinary Research (JAIR) for 2026. We are proud to bring another collection of peer-reviewed research to our growing international readership. The JAIR remains steadfast in its founding principles: rigorous peer review, openaccess publishing at no cost to authors, and a genuine commitment to interdisciplinary inquiry. We continue to believe that research which transcends traditional disciplinary boundaries is among the most valuable and far-reaching that applied sciences can offer, and we are grateful to all authors, reviewers, and readers who share and sustain this vision. This is one of the reasons why we have decided to join the Diamond Discovery Hub (DDH), because we continue to support the belief in open science and open access. The DDH is a registry of scholar-led open access journals. In order to become a member, the following Diamond criteria have to be fulfilled: persistent identification, scholarly journal, open access with open licences, no fees, open to all authors and community-owned. We extend our sincere thanks to the authors whose work appears in this volume. Their contributions reflect scholarly rigor, methodological care, and a meaningful engagement with questions of real-world relevance. In this volume, you will find the following articles: Sally Meyer, Steven Cuadra & Sabine Dittrich: Lifestyle Risk Factors and Health Indicators in Students at a Bavarian University: A Cross-Sectional Study of Physical Activity, Diet, Stress, Sleep Quality, and Body Mass Index. Johanna Trager, Jane Käser & Roland Zink: The Influence of Spatial and Temporal Dimensions on the Success of Participation in Czech-Bavarian Interreg Projects. This volume brings together research that speaks to pressing questions in public health and regional governance. The first article examines student health behaviors at a Bavarian university, drawing on cross-sectional survey data to identif…
subject: Foreword
  topic: section
creator: Michelle J. Cummings-Koether
creator: Kristin Seffer
rights: Copyright (c) 2026 Michelle J. Cummings-Koether, Kristin Seffer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2026-07-30
publication date: 2026-07-30
doi: 10.25929/c1et3z98

DigiHealth-AI: Outcomes of the First Blended Intensive Programme (BIP) on AI for Health – a Cross-Disciplinary Multi-Institutional Short Teaching Course
type: item
description: We reflect on the experiences in organizing and implementing a high-quality Blended Intensive Programme (BIP) as a joint international event. A BIP is a short programme that combines physical mobility with a virtual part. The 6-day event, titled “DigiHealth-AI: Practice, Research, Ethics, and Regulation”, was organized in collaboration with partners from five European nations and support from the EU’s ERASMUS+ programme in November 2023. We introduced a new learning method called ProCoT, involving large language models (LLMs), for preventing cheating by students in writing. We designed an online survey of key questions, which was conducted at the beginning and the end of the BIP. The highlights of the survey are as follows: By the end of the BIP, 84% of the respondents agreed that the intended learning outcomes (ILOs) were fulfilled, 100% strongly agreed that artificial intelligence (AI) benefits the healthcare sector, 62% disagree that they are concerned about AI potentially eliminating jobs in the healthcare sector (compared to 57% initially), 60% were concerned about their privacy when using AI, and 56% could identify, at least, two known sources of bias in AI systems (compared to only 43% prior to the BIP). A total of 541 votes were cast by 40 students, who were the respondents. The minimum and maximum numbers of students who answered any particular survey question at a given period are 25 and 40, respectively.
subject: Article
  topic: section
subject: machine learning
  topic: keywords
subject: healthcare
  topic: keywords
subject: pedagogy
  topic: keywords
creator: Tosin Adewumi
creator: Martin Gerdes
creator: Georgi Chaltikyan
creator: Fara Fernandes
creator: Lars Lindsköld
creator: Marcus Liwicki
creator: Michelle Catta-Preta
rights: Copyright (c) 2024 Tosin Adewumi, Martin Gerdes, Georgi Chaltikyan, Fara Fernandes, Lars Lindsköld, Marcus Liwicki, Michelle Catta-Preta (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 75
ending page: 85
doi: 10.25929/dcmwch54

Vector Diagnosis of Patient Conditions in Telemedicine
type: item
description: Telemedicine is a rapidly growing field in healthcare, offering wide-ranging opportunities to address various challenges faced by healthcare workers and patients. Despite its many benefits for both patients and healthcare providers, there are still a number of unresolved issues. This study aims to explore the potential of telemedicine by conceptualizing it as the interplay of two vectors: the patient's condition and technological readiness for consultation. Research Objectives. The patient's condition vector includes physiological, biochemical, and clinical indicators. The technological readiness vector is defined by the treating physician's competence, the consultant's expertise, modern information processing capabilities, and the availability of necessary time, among other factors. Conclusions. 1. Telemedicine consultations require a robust real-time medical data management system that allows consultants and attending physicians to efficiently process data, retain validated data for patient-specific recommendations, and enhance the global telemedicine framework with decision-making expertise. 2. Integrating big data analytics can improve the prediction and identification of disease diagnoses and prognoses, aiding in the development of effective strategies for complication prevention and disease treatment. Real-time communication with each patient and complex data processing can only be achieved through artificial intelligence. Manual intervention is insufficient for serving thousands of users simultaneously. 3. It's crucial during telemedicine consultations to consider not only the static indicators of the patient's condition but also their baseline data, stable condition indicators from previous studies, and personalized correlation galaxies. Recommendations based solely on the analysis of the patient's status during the telemedicine session risk incorrect conclusions. 4. Biosemiotics, which focuses on the language and rules of signals and codes in biological sys…
subject: Article
  topic: section
subject: telemedicine
  topic: keywords
subject: transdisciplinary approach
  topic: keywords
subject: vector diagnosis of patient conditions
  topic: keywords
subject: data discrimination
  topic: keywords
subject: information asymmetry
  topic: keywords
subject: big data
  topic: keywords
subject: error by omission
  topic: keywords
subject: data envelopment analysis (DEA)
  topic: keywords
creator: Ozar Mintser
creator: Volodymyr Zhovnir
creator: Yevgen Vember
rights: Copyright (c) 2024 Ozar Mintser, Volodymyr Zhovnir, Yevgen Vember (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 9
ending page: 15
doi: 10.25929/v1aerr18

A Scoping Review of the Role of Clinical Decision Support Systems in Intensive Care Units during the COVID-19 Pandemic
type: item
description: During the COVID-19 pandemic, clinical decision support systems (CDSS) have been increasingly instrumental in reshaping the intensive care unit (ICU) landscape. This paper highlights the importance of CDSS in improving healthcare professionals' decision-making processes by examining their numerous contributions to the management of critically ill patients. This scoping review comprised information concerning the role of CDSS in ICUs during the COVID-19 pandemic and lessons for the future of public health care (PHC). The identified literature was published during the COVID-19 peak years (2019–2023), retrieved from the Cochrane Library, Embase, Medline, PubMed, CINAHL, Google Scholar and Scopus. A set of predefined inclusion criteria were used, then thematic analysis was applied. The reporting followed the PRISMA guidelines for scoping reviews. A total of 9 studies were included in the final synthesis (all articles). These studies examined various aspects of the role of CDSS in ICUs during the COVID-19 pandemic. The scoping review was comprehensive and focused on the emerging topic of discussion but lacked risk of bias assessment. In the midst of the COVID-19 pandemic's unparalleled obstacles, CDSS in ICUs became a vital resource for medical professionals. These technologies help physicians diagnose, treat, and manage COVID-19 patients by using innovative algorithms and real-time data analytics. Early identification, monitoring, timely alarms, and insights into patients' changing clinical status are some of the most crucial functions of CDSS. This capacity was vital in quickly recognising conditions that were getting worse, facilitating quick action, and enhancing patient outcomes. Additionally, CDSS in ICUs proved effective in therapy guiding, providing evidence-based suggestions for therapeutic approaches. Through the integration of patient information, test findings, and established procedures, these systems enabled tailored and efficient treatment, guaranteeing th…
subject: Article
  topic: section
subject: clinical decision support systems
  topic: keywords
subject: clinical decision support
  topic: keywords
subject: patient outcomes
  topic: keywords
subject: COVID-19
  topic: keywords
subject: intensive care unit
  topic: keywords
creator: Zaid Olayiwola Olanrewaju
creator: Muhammed Faisal
creator: Rebecca Randell
rights: Copyright (c) 2024 Zaid Olayiwola Olanrewaju (Author); Muhammed Faisal; Rebecca Randell (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 21
ending page: 34
doi: 10.25929/ezsh8p05

Medical Data Compatibility Problems in the Tasks of Information Systems Integration
type: item
description: Integration of medical data is a critical component of the functioning of modern healthcare systems and a primary task of personalized medicine. Aggregating data from disparate sources, such as electronic medical records and medical devices, allows service providers to obtain a complete picture of patients' health status and optimize workflows. It is noted that the strategy of integration is closely linked with the logic of medical data compatibility. The problems of integration also reflect in the tasks of creating Portfolios for physicians and pharmacists. Research objective. Summary of biomedical data compatibility issues. It is emphasized that data compatibility depends on the consistency of standards applied in programs. The quality of data also requires special attention. This directly affects the quality of the decisions made. Although data interoperability is one of the primary requirements of information and communication systems (ICS), it is often overlooked. As a result, data exchange is not performed, significantly limiting the flow of information. The problem of large dimensionality is also serious. It is evident that such multidimensional and labor-intensive computational processes are a primary task for modern algorithms and models of artificial intelligence (AI) and machine learning (ML). It is highlighted that one of the ways to solve the problems of standardization and integration of large-scale medical data are metadata, which are also useful for improving statistical analysis, probabilistic models, and ML models. Conclusions. 1. Precision Medicine (4P Medicine) was introduced as a new paradigm approach to healthcare with a more predictable, preventive, personalized, and participatory manner. Precision medicine is closely related to data-intensive approaches, as well as to ML and AI. 2. Integration of data for placement in structures useful for precision medicine is only possible after several previous stages of their processing, namely: data (met…
subject: Article
  topic: section
subject: integration of medical data
  topic: keywords
subject: interoperability of medical data
  topic: keywords
subject: portfolio of doctors and pharmacists
  topic: keywords
subject: information and communication systems
  topic: keywords
subject: 4P medicine
  topic: keywords
subject: interoperable data standards
  topic: keywords
subject: metadata
  topic: keywords
creator: Ozar Mintser
creator: Larysa Babintseva
creator: Stanislav Mokhnachov
creator: Olga Sukhanova
creator: Pavlo Hanynets
creator: Alexandr Sarcanich
rights: Copyright (c) 2024 Ozar Mintser, Larysa Babintseva, Stanislav Mokhnachov, Olga Sukhanova, Pavlo Hanynets, Alexandr Sarcanich (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 16
ending page: 20
doi: 10.25929/695sar10

Innovative Databases in Ecomonitoring Information Systems: Images of Genetic Codes as Keys
type: item
description: Introduction: Images of biological objects are used very often now for the creation of novel information systems for biology and medicine. But the sphere of their use, tasks which are possible to solve with them, can be successfully expanded. Problem statement: Contemporary biomedical relational databases (DBs) very often include images. But additionally, images themselves can play important functional roles in DBs. Purpose: To use images of fishes’ genetic codes fragments as keys for the construction of relational DB; this has to ensure the reliability of biomedical information storage better than in prototypes, and to provide better data integrity. Methods: DB Design, object-oriented system analysis for DBs design in an optimal way, ER diagrams design. Results: An algorithm for the construction of relational DBs with images, other biomedical information, analytical approaches and recommendations for doing this in an optimal way were presented. The main attention was paid to the creation and application of the most functionally high-quality codes for keys in DB (including primary keys). To perform this function, usages of codes based on images of fishes’ genetic codes fragments were proposed. The example for such a task solution, described in this article, was the creation of DBs with information about fishes (or other aquatic organisms) and chemical inorganic environmental pollutants which affected them. Conclusions: The results of the use of images of genetic codes fragments as keys for the construction of DBs with ecological data in an information system for environmental monitoring were presented. Through the high level of individualization of the data in a system with such keys the maintenance of species-specific information is substantiated. The work has theoretical and practical values. It may also be applied in an academician process for teaching students.
subject: Article
  topic: section
subject: information and computer technology
  topic: keywords
subject: information system
  topic: keywords
subject: image
  topic: keywords
subject: database
  topic: keywords
subject: coding
  topic: keywords
creator: Olena Klyuchko
creator: Olga Melezhyk
rights: Copyright (c) 2024 Olena M. Klyuchko, Olga V. Melezhyk (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 35
ending page: 49
doi: 10.25929/re84ry96

Advancing Healthcare: AI Integration, Interoperability and Sustainability Challenges
type: item
description: This article explores the evolving landscape of healthcare transformation through intelligent integration, focusing on artificial intelligence (AI), interoperability, and sustainability in the digital era. This analysis thoroughly investigates various aspects, including patient-centric immunization systems, blockchain-based e-health management, resource optimization, and adaptable clinical solutions. The investigation is framed around evolving healthcare considerations, emphasizing a thorough exploration of advancements, comparisons, and challenges encountered in the implementation of intelligent and integrated healthcare systems. The conclusion provides valuable insights for healthcare professionals and policymakers, guiding the development of a more connected and intelligent healthcare ecosystem.
subject: Article
  topic: section
subject: intelligent integration
  topic: keywords
subject: artificial intelligence (AI)
  topic: keywords
subject: interoperable systems
  topic: keywords
subject: healthcare
  topic: keywords
subject: sustainability
  topic: keywords
creator: Bala Dhandayuthapani V.
rights: Copyright (c) 2024 Bala Dhandayuthapani V. (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 64
ending page: 74
doi: 10.25929/j3xxxy63

Unlocking the Power of Health Data by Ensuring the Public can Trust the EHDS
type: item
description: It is vitally important to assure public trust during the European scaling up of health data reuse for research, public health and health systems strategy. The European Health Data Space (EHDS) proposals are catalysing the multi-stakeholder debate on this, and include some provisions that are aimed at giving that assurance, such as strict purposes for which data may be reused, and which may not be used. However, the public needs a way of trusting that the organisations that reuse their data are bound to by ethical and transparency principles. Furthermore, these organisations are to be held accountable for how they use data. This paper summarises the Big Data rationale for needing a European scale for the secondary use of health data, and the provisions in the proposal for a Regulation for the EHDS to enable and safeguard this secondary use. It proposes a complementary measure, a Societal Compact, that could strengthen public trust in the EHDS.
subject: Article
  topic: section
subject: health data
  topic: keywords
subject: electronic health records
  topic: keywords
subject: big data
  topic: keywords
subject: information governance
  topic: keywords
subject: transparency
  topic: keywords
creator: Dipak Kalra
rights: Copyright (c) 2024 Dipak Kalra (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 50
ending page: 55
doi: 10.25929/wgxbmf28

Global Digital Health Diplomacy: The Global-EHR and First Steps for a Global Treaty on Digital Health
type: item
description: Successful globalisation in health is dependent on Global Digital Health. As of today, however, we do not enjoy the interoperability needed to enable a global health care delivery system that is equitable, safe, effective, patient-centered, timely and efficient. People are afraid to travel to a remote location where access to their device or health data is not possible. They are aware that healthcare services in another country may not be of the same quality and these factors leave them feeling unsafe to travel and ‘chained’ to their locality. A real worldwide cross-border digital health service includes a Global Electronic Health Record (G-EHR). This could be realized with co-ordinated efforts across countries. Some progress is possible through international agreements for mutual health data transmission, recognition of information systems and common approaches to the use of an international standard. To achieve full interoperability, however, political consensus is needed: Digital Health Diplomacy (DHD) efforts can deliver such alignment. DHD refers to concentrated international efforts towards supranational interoperability in Digital Health leading to cross-jurisdictional digital health services and data access and/or exchange.
subject: Article
  topic: section
subject: global digital health
  topic: keywords
subject: electronic health record
  topic: keywords
subject: digital health diplomacy
  topic: keywords
creator: Henrique Martins
creator: Jeremy M. Thorp
creator: Paula Amorim
rights: Copyright (c) 2024 Henrique Martins, Jeremy M. Thorp, Paula Amorim (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 56
ending page: 63
doi: 10.25929/tnev8s71

Foreword
type: item
subject: Foreword
  topic: section
creator: Michelle Cummings-Koether
creator: Kristin Seffer
rights: Copyright (c) 2024 Michelle Cummings-Koether, Kristin Seffer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 6
ending page: 6
doi: 10.25929/7y7y8558

Guest Editorial
type: item
subject: Editorial
  topic: section
creator: Dipak Kalra
creator: Horst Kunhardt
creator: Georgi Chaltikyan
creator: Ozar Mintser
creator: Fara Fernandes
rights: Copyright (c) 2024 Dipak Kalra, Horst Kunhardt, Georgi Chaltikyan, Ozar Mintser, Fara Fernandes (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-18
publication date: 2024-11-18
starting page: 7
ending page: 8
doi: 10.25929/ffaxjr71

From Necessity to Pleasure: The Impact of Hedonic Motivation and Performance Expectancy on Acceptance of Online Grocery Shopping Apps in Germany
type: item
description: This study investigates key factors influencing German consumers’ acceptance of online grocery shopping (OGS) apps. Despite the growing popularity of e-commerce, research on OGS app adoption in Germany remains limited. We applied the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to examine factors affecting acceptance and behavioral intention to use OGS apps. A quantitative approach with a convenience sample was employed in Germany. Data analysis involved principal component analysis followed by multiple linear regression analyses using IBM SPSS 28. Results showed that performance expectancy, hedonic motivation, and previous use of OGS apps significantly influenced behavioral intention. The UTAUT2 model’s predictive probability was highest when considering control variables such as gender, age, and previous app use. Our findings contribute to understanding OGS app adoption in Germany and suggest practical implications, including expanding delivery zones to rural areas. This research addresses the knowledge gap in OGS app acceptance in Germany and provides insights for researchers and practitioners in the food retail sector.
subject: Article
  topic: section
subject: online grocery shopping apps
  topic: keywords
subject: German retail
  topic: keywords
subject: ⁠UTAUT2 model
  topic: keywords
subject: behavioral intention
  topic: keywords
creator: Pia Drechsel
creator: Stephanie Jordan
creator: Tatjana Seidel
creator: Amelie Velten
creator: Daniel Kusterer
creator: Angela Hatzenbühler
creator: Alexander Kracklauer
rights: Copyright (c) 2025 Pia Drechsel, Stephanie Jordan, Tatjana Seidel, Amelie Velten, Daniel Kusterer, Angela Hatzenbühler, Alexander H. Kracklauer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-09-29
publication date: 2025-09-29
starting page: 6
ending page: 23
doi: 10.25929/qrx1-cp87

Improving Customer Experience Using Smart Technologies in Smart Stores
type: item
description: This study investigates how ethical aspects, safe technology, and customer-friendly technologies influence the customer experience in smart stores. Smart stores are unmanned retail stores that integrate smart technologies and services. An empirical model was proposed and validated using exploratory factor analysis and multiple regression analysis, with n = 402 participants. The results demonstrate that all three constructs have a positive influence on the customer experience in smart stores. However, the results also suggest that store-based interactions (e. g. seamless access and a safe environment) have a stronger influence than product-based interactions. The results highlight the need for retailers to prioritise smart technologies that visibly enhance safety, usability, and ethical transparency. These insights support the development of smart stores that foster customer trust, improve interaction quality, and strengthen long-term customer relationships.
subject: Article
  topic: section
subject: smart store
  topic: keywords
subject: customer experience
  topic: keywords
subject: smart technologies
  topic: keywords
subject: safe technologies
  topic: keywords
subject: ethics
  topic: keywords
subject: customer-friendly technology
  topic: keywords
creator: Maike Netscher
creator: Stephanie Jordan
creator: Anna Mast
creator: Sebastian Kundrath
creator: Hannes Lutz
creator: Lukas Mader
creator: Alexander Kracklauer
rights: Copyright (c) 2025 Maike Netscher, Stephanie Jordan, Anna Mast, Sebastian Kundrath , Hannes Lutz , Lukas Mader, Alexander Kracklauer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-09-29
publication date: 2025-09-29
starting page: 65
ending page: 83
doi: 10.25929/d2xe-w145

AI Integration in EHR-Based Pharmacovigilance: A Comparative Study of Germany and Egypt
type: item
description: Introduction: Pharmacovigilance (PV) depends mainly on traditional reporting as a main source of data. This research will focus on another source, namely EHRs (electronic healthcare records). As we deal with big data from EHRs, AI (artificial intelligence) tools will be indispensable for the processing, and analysis of data and the early detection of ADRs (adverse drug reactions) from EHRs. In this research, we will explore the knowledge, attitudes and practices (KAPs) of the experts regarding the current application of AI in EHR-based PV, the potential benefits of implementing these technologies in PV, and the challenges toward their implementation in Germany and Egypt. Methodology: A semi-structured survey of 30 questions that targeted the attitudes, knowledge and experience from PV experts (172 responses) was conducted. Results: The results revealed that most PV companies in Egypt or Germany do not use EHRs as a main data source. This can be attributed to the lack of the application of EHRs in Germany and Egypt (e.g. EHRs in Germany is in a very early phase). Most of the PV organizations in both companies do not use AI as well in their PV activities. There is also a lack of proper adherence to data protection regulations in Egypt. However, the participants in both countries show a very positive attitude toward the adoption of AI and EHRs in the PV. Conclusion: AI technologies and EHRS in the domain of PV are very rarely applied either separately or collectively in both countries, there is also a lack of knowledge among PV specialists about Digital Health but there are positive attitudes toward its adoption.
subject: Article
  topic: section
subject: pharmacovigilance
  topic: keywords
subject: electronic healthcare records
  topic: keywords
subject: electronic healthcare records-based pharmacovigilance
  topic: keywords
subject: adverse drug reactions
  topic: keywords
subject: artificial intelligence
  topic: keywords
creator: David Naguib
creator: Georgi V. Chaltikyan
creator: Ahmed Adel
rights: Copyright (c) 2025 David Naguib, Georgi V. Chaltikyan, Ahmed Adel (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 34
ending page: 63
doi: 10.25929/6q9v-cz19

Bioelectronic Medicine and Non-Communicable Diseases: Rationale for Clinical Significance, Prospects and Problems
type: item
description: The results of a theoretical study of the possibilities and prospects for solving the problem of non-communicable diseases (NCDs) are reported in the article. The authors present the ideas of the educational and scientific project “Bioelectronic Medicine or Look at Medicine Differently”, which is the result of the research. The aim of the study was to introduce the ideas of bioelectronic medicine as a promising direction for solving the problem of NCDs. This study is a fragment of the research work on "The development of algorithms and technologies for implementing a healthy lifestyle in patients with non-communicable diseases based on the study of functional status" (state registration number 0121U108237: UDC 613 616-056-06: 616.1/9-03). General scientific methods and theoretical methods were used in this theoretical study. Conclusions: Bioelectronic medicine is a promising direction for the further development of medicine and for solving the problem of NCDs because its ideas integrate modern biophysical knowledge about the structure and functioning of the nanolevel of living matter in vivo into knowledge about the functioning of the human body. This opens up new perspectives for studying the pathology of NCDs. Bioelectronic medicine, as a promising direction for solving the problem of NCDs, needs to be further developed and its ideas need to be popularized among the world’s scientific community.
subject: Article
  topic: section
subject: Magnetoelectrochemical Theory of Metabolism
  topic: keywords
subject: non-communicable diseases
  topic: keywords
subject: bioelectronic medicine
  topic: keywords
subject: quantum medicine
  topic: keywords
creator: Ganna V. Nevoit
creator: Inga A. Bumblyte
creator: Maksim M. Potyazenko
creator: Olena Filiunova
creator: Alfonsas L. Vainoras
creator: Ozar Mintser
rights: Copyright (c) 2025 Ganna V. Nevoit, Inga A. Bumblyte, Maksim M. Potyazenko, Olena Filiunova, Alfonsas L. Vainoras, Ozar P. Mintser (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 88
ending page: 95
doi: 10.25929/b01f7r51

Alumni Voice Session at the DigiHealthDayS-2024
type: item
description: The Alumni Voice session during the DigiHealthDayS 2024 highlighted the importance of digital health literacy as well as the academic and professional trajectories of the Master of Digital Health graduates. Three brilliant alumni shared their personal and diverse experiences, offering insights that may shape students' perspectives on career development and industry challenges. The session concluded with a forward-looking dialogue about the future of healthcare.
subject: Article
  topic: section
subject: education
  topic: keywords
subject: alumni
  topic: keywords
subject: digital health
  topic: keywords
creator: Camila Tomikawa
creator: Oscar Blanco
rights: Copyright (c) 2025 Camila Tomikawa, Oscar Blanco (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 96
ending page: 97
doi: 10.25929/w32s-h943

Transitioning from Paper to Electronic Medical Records in Austrian Helicopter Emergency Medical Services: A Usability Evaluation
type: item
description: Introduction: This study examines the development and usability evaluation of an electronic documentation application specifically designed for the Austrian Helicopter Emergency Medical Service (HEMS). The primary objective is to assess how HEMS crew members, accustomed to paper-based documentation, perceive the usability of the electronic system. Method: The application was developed using React Native and tailored to the unique demands of the high-stress environment characteristic of HEMS. No existing digital documentation solutions were analyzed or incorporated; instead, the design was grounded entirely in evidence-based practices. The development process underwent iterative refinement based on user feedback in collaboration with a HEMS crew member. A total of thirty healthcare professionals were recruited through convenience and purposive sampling methods. Usability was evaluated using the System Usability Scale (SUS), complemented by qualitative insights obtained from open-ended questions. Results: The findings indicate an average System Usability Scale (SUS) score of 79.92. Notably, older and more experienced users, as well as those possessing advanced digital skills, provided favorable ratings for the application. Conversely, younger and less experienced users exhibited lower levels of satisfaction. The qualitative analysis revealed four primary themes: automation and integration, the need for improvement and adaptation, a positive disposition towards the application, and prioritization of simplification and efficiency despite existing concerns. Conclusion: This study underscores the necessity for ongoing optimization within digital healthcare applications, highlighting the critical alignment with user needs. Future developments should prioritize not only technical enhancements but also the optimization of the overall user experience.
subject: Article
  topic: section
subject: digital health
  topic: keywords
subject: electronic health records
  topic: keywords
subject: emergency medical services
  topic: keywords
subject: air ambulances
  topic: keywords
subject: user-centered design
  topic: keywords
creator: Magdalena Druml
creator: Eva Turk
rights: Copyright (c) 2025 Magdalena Druml, Eva Turk (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 21
ending page: 33
doi: 10.25929/s1zg-d392

The Business Model Framework for Digital Health Start-ups in Europe, based on the Innovation Landscape
type: item
description: In today’s fast-paced world, it is difficult to acquire the same quality level of healthcare efficiently. To achieve a similar quality of service in a shorter time, digital health solutions ranging from applications to online registration play a pivotal role in the lives of healthcare practitioners and more specifically patients. The new digital health paradigms have shifted to be more patient-centric, preventive, predictive, and personalized to more accurately and precisely cater to the patient’s needs. The dawn of novel innovative technologies revolutionizing the digital health sector across the globe has generated multiple value creations and research opportunities. The following research focuses on studying innovation diffusion in the digital health sector and its effect on the success of start-ups via analysis of the business models [1]. It is essential to understand the significant proportionality of innovation to the success of digital health startups in delivering quality care to users/patients without compromising quality or failing to create business value in the current competitive market.
subject: Article
  topic: section
subject: digital health
  topic: keywords
subject: entrepreneurship
  topic: keywords
subject: business model innovation
  topic: keywords
subject: open innovation
  topic: keywords
subject: accelerators
  topic: keywords
subject: incubators
  topic: keywords
subject: success factors
  topic: keywords
creator: Gaurang Thanekar
creator: Georgi Chaltikyan
rights: Copyright (c) 2025 Gaurang Thanekar, Georgi V. Chaltikyan (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 64
ending page: 87
doi: 10.25929/1yxw-1j33

Navigating the Divide: Informatics as Science and Digitalization as Practice
type: item
description: The dialogue session “Navigating the Divide: Informatics as Science and Digitalisation as Practice” on the first day of the DigiHealthDayS 2024 proposed a discussion around the intersection of informatics—the science—and digitalization—the practice—and how to navigate these (uncharted) waters safely. To explore future directions for informatics professionals in bridging the gap between science and practice, the keynote speakers and panelists explored strategies for integrating data-driven insights with digital technologies to enhance patient care and create new knowledge.
subject: Article
  topic: section
subject: health informatics
  topic: keywords
subject: digital transformation
  topic: keywords
subject: data-driven healthcare
  topic: keywords
creator: Lars Lindsköld
creator: Camila Tomikawa
rights: Copyright (c) 2025 Lars Lindsköld, Camila Tomikawa (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 105
ending page: 107
doi: 10.25929/529m-8644

Scientific Session on Thursday, November 14th
type: item
description: The scientific session encompassed a range of topics centred around the application of technology to advance healthcare and medical education. David Naguib’s presentation explored the potential and challenges of using artificial intelligence (AI) in electronic health record-(EHR-)based pharmacovigilance in Germany and Egypt to improve adverse drug reactions (ADR) detection. Mariam Barseghyan and colleagues discussed a digital intervention using the ICOnnecta’t App to address the psychological impact of breast cancer and premature menopause. Tatul Saghatelyan and colleagues presented the successful pilot implementation of a mobile mammographic screening program in Armenia, highlighting its IT infrastructure and impact on early detection. Arman Darbinyan and colleagues detailed the use of deep learning for automatic electrocardiography (ECG) and mammography analysis to detect cardiovascular diseases and cancer. Arsen Arakelyan introduced the Armenian Genome Project as a pathway to personalized medicine, focusing on characterizing the Armenian genome and its implications for health. Finally, Ozar Mintser’s presentation addressed AI-powered learning technologies and the knowledge tracing problem in medical education, advocating for proactive educational strategies. Overall, the session showcased diverse applications of AI and digital platforms in screening, diagnosis, monitoring, and education across different medical fields and geographical contexts.
subject: Article
  topic: section
subject: artificial intelligence (AI)
  topic: keywords
subject: digital healthcare platforms
  topic: keywords
subject: diagnosis
  topic: keywords
subject: education
  topic: keywords
creator: Martin Gerdes
creator: Fara Aninha Fernandes
rights: Copyright (c) 2025 Martin Gerdes, Fara Aninha Fernandes (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 98
ending page: 101
doi: 10.25929/53v2-pb33

Engaging Patients and Citizens in Digital Health – Opportunity or Challenge?
type: item
description: Digital health innovations thrive when patient involvement is integrated from the outset. This commentary highlights insights from the DigiHealthDayS-2024 Scientific Congress, emphasizing the pivotal role of patient engagement in shaping digital health solutions. Drawing on recent presentations, it is evident that early collaboration with patients—not merely as end users, but as co-creators and experts—yields solutions that are more user-centered, effective, and sustainable. The WHO has been strongly recommending patient engagement in primary care ever since 2016, underscoring its importance in improving care quality and fostering trust. Key innovations include the structured use of advisory boards, focus groups, real-world evidence platforms, agile development processes, and the acknowledgment of patient diversity. Furthermore, the session calls for embedding patient collaboration modules into digital health curricula, ensuring that future practitioners are well-versed in participatory design and ethical compensation. This commentary discusses these findings, identifies critical considerations for effective patient involvement, and outlines future directions for research and policy in digital health innovation.
subject: Article
  topic: section
subject: patient involvement
  topic: keywords
subject: patient engagement
  topic: keywords
subject: co-creation
  topic: keywords
subject: healthcare innovation
  topic: keywords
creator: Birgit Bauer
creator: Benjamin Friedrich
rights: Copyright (c) 2025 Birgit Bauer, Benjamin Friedrich (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 102
ending page: 104
doi: 10.25929/04hh-1034

True Innovation is an Idea Turned into Value
type: item
description: The session “El Futuro Es Nuestro”, held at the DigiHealthDays 2024 in Pfarrkirchen, Germany, explored the transformative power of true innovation in healthcare. Hosted by Lemonmint in collaboration with i-xpand, the session featured a keynote by Hal Wolf, CEO and President of HIMSS, and highlighted the importance of turning ideas into tangible value. Student-led presentations showcased innovative approaches to addressing local healthcare challenges, emphasizing the balance between purpose and practical application. Participants discussed how meaningful innovation can impact healthcare systems, patient outcomes, and future industry leaders.
subject: Article
  topic: section
subject: healthcare innovation
  topic: keywords
subject: digital health
  topic: keywords
subject: patient outcomes
  topic: keywords
subject: start-ups
  topic: keywords
subject: global transformation
  topic: keywords
creator: Armin Scheuer
creator: Pilar Fernández Hermida
rights: Copyright (c) 2025 Armin Scheuer, Pilar Fernández Hermida (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 108
ending page: 109
doi: 10.25929/wgeh-at46

Transforming Healthcare: Bridging Digital Maturity, Health Data, and Global Policy
type: item
description: The session “Transforming Healthcare: Bridging Digital Maturity, Health Data, and Global Policy,” held at the DigiHealthDayS 2024 in Pfarrkirchen, Bavaria, Germany, examined how digital transformation can create measurable value in healthcare. Hosted by Angela Ahrendt (FTI Consulting) and Armin Scheuer (Lemonmint), the session featured a keynote by Hal Wolf (HIMSS) and contributions on digital maturity in healthcare, digital health literacy and the European Health Data Space (EHDS). Discussions emphasized the role of data-driven decision-making, interoperability, and policy frameworks in shaping a sustainable digital health ecosystem. The session underscored that true innovation emerges when technology, policy, and strategy align to enhance patient outcomes and system efficiency.
subject: Article
  topic: section
subject: healthcare innovation
  topic: keywords
subject: digital health
  topic: keywords
subject: digital maturity
  topic: keywords
subject: European Health Data Space
  topic: keywords
subject: interoperability
  topic: keywords
subject: global health policy
  topic: keywords
creator: Armin Scheuer
creator: Angela Ahrendt
rights: Copyright (c) 2025 Armin Scheuer, Angela Ahrendt (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 110
ending page: 112
doi: 10.25929/g2ea-nv10

Towards a Globally Recognized and Harmonized Degree of Master of Digital Health (MDH): The Case for an MDH Alliance
type: item
description: The digital transformation of healthcare is advancing at an unprecedented pace, reshaping systems, providers, and societies worldwide. While technological development accelerates, the education and training of the health workforce lag behind, producing critical gaps in digital competencies and undermining the adoption of innovation. Biomedical and Health Informatics (BMHI) has historically provided the academic foundations for this field, but the emergence of Digital Health as a broader, interdisciplinary paradigm demands new approaches to education. This paper explores the rationale for a globally harmonized Master of Digital Health (MDH) degree, modeled after the success of the Master of Public Health (MPH), and presents a call for the establishment of an MDH Alliance. We review the history of BMHI education, the evolution towards Digital Health, the development of knowledge, skills, and competences (KSCs), and the role of the workforce in digital transformation. We highlight recent calls for an MDH degree by global thought leaders, drawing inspiration from the MPH, and building on our institutional experience transitioning from a Master of Medical Informatics to a Master of Digital Health. We argue that a coordinated international initiative is essential to ensure quality, comparability, and professional mobility in Digital Health education, and to provide the workforce required for equitable and sustainable digital transformation of health systems.
subject: Article
  topic: section
subject: digital health
  topic: keywords
subject: health informatics
  topic: keywords
subject: information technology
  topic: keywords
subject: MDH
  topic: keywords
subject: education
  topic: keywords
creator: Georgi V. Chaltikyan
creator: Dmitry Etin
creator: Eugenia Lvova
creator: Fara Aninha Fernandes
creator: Jishen Pfeiffer
rights: Copyright (c) 2025 Georgi V. Chaltikyan, Dmitry Etin, Eugenia Lvova, Fara Aninha Fernandes, Jishen Pfeiffer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 10
ending page: 20
doi: 10.25929/3jtj-kc09

Digital Health: Implementing at Scale (How Can International and Bavarian Experiences Cross-Fertilize Each Other?)
type: item
description: Digital health has existed for decades, but it gained traction only after the COVID-19 pandemic. In this session we discussed the scope and scale of digital health and what we have learned from the implementations at scale. The goal was to identify how other nations and healthcare systems can benefit from the lessons learned for the mass adoption of digital health. The session started with a quick overview about digital health at scale and why experience and best practice-sharing is integral to enhance the scope and increase the scale of digital health adoption. The session was chaired by Dr. Rajendra Pratap Gupta, a global expert on digital health and former advisor to the Health Minister of India, who then discussed the present digital health projects with the other digital health experts from this session. He shared the details of the PRICE Model on scaling up digital health interventions by the government and how it can be leveraged by organizations and governments across the globe.
subject: Article
  topic: section
subject: digital health
  topic: keywords
subject: intersectoral healthcare
  topic: keywords
subject: PRICE Model
  topic: keywords
subject: healthcare innovation
  topic: keywords
subject: cross-border collaboration
  topic: keywords
creator: Laura Stahl
creator: Rajendra Pratap Gupta
rights: Copyright (c) 2025 Laura Stahl, Rajendra Pratap Gupta (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 113
ending page: 115
doi: 10.25929/dde2-7381

AI Needs High-Quality Health Data at Scale - Will the EHDS Deliver?
type: item
description: A panel discussion was held during the DigiHealthDayS-2024 Scientific Congress on 15th November 2025. It explored the potential for the European Health Data Space (EHDS) to become a high-value resource of good quality data for the development of AI innovations to support better and safer healthcare. Panel members discussed whether the measures presently intended for the provision of secondary used data sets within the EHDS and AI Act will be suitable for AI development. At present, a standardized data quality label will be defined, but its use will be optional, interoperability standards for data sets sharing for research are not mandated. However, AI innovators need access to large-scale, high-fidelity data sets that have well-documented provenance and quality, and which are accurately representative of the populations on whom the innovators wish to target their solutions. The EHDS has the potential to accelerate the availability of high-quality data sets, but the adoption of the data quality and utility label to assess the data sets must be strongly promoted and accompanied by measures and incentives for health systems to actively improve the quality of the data they routinely collect within EHR systems.
subject: Article
  topic: section
subject: artificial intelligence
  topic: keywords
subject: data bias
  topic: keywords
subject: health data quality
  topic: keywords
subject: European Health Data Space
  topic: keywords
creator: Dipak Kalra
creator: Eva Sabajova
creator: Birgit Bauer
creator: Dmitry Etin
creator: Henrique Martins
rights: Copyright (c) 2025 Dipak Kalra, Eva Sabajova, Birgit Bauer, Dmitry Etin, Henrique Martins (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 116
ending page: 118
doi: 10.25929/d5p2-np32

Moonshot Dialogue: The Future of AI in Healthcare and Cutting Edge Digital Health Technologies
type: item
description: As societies around the world are grappling with the effects of aging populations, rising rates of chronic diseases, and overstretched health systems, the deployment of artificial intelligence (AI) in healthcare has emerged as both the beacon of hope but also as subject of close scrutiny. The promise of AI-powered digital health technologies to transform care delivery, enhance diagnostic precision, and improve outcomes is compelling, particularly in a context where progressive neurological disorders, cardiovascular diseases and cancer are expected to rise in prevalence. Yet, this transformation is unfolding against a backdrop of the need for a rigorous regulatory oversight, ethical deliberation, and a determined push to set global standards for responsible innovation.
subject: Article
  topic: section
subject: artificial intelligence (AI)
  topic: keywords
subject: digital health technologies
  topic: keywords
subject: global standards
  topic: keywords
creator: Angela Ahrendt
creator: Rajendra Pratap Gupta
rights: Copyright (c) 2025 Angela Ahrendt, Rajendra Pratap Gupta (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 119
ending page: 120
doi: 10.25929/cw2d-6d60

Foreword
type: item
subject: Foreword
  topic: section
creator: Michelle J. Cummings-Koether
creator: Kristin Seffer
rights: Copyright (c) 2025 Michelle J. Cummings-Koether, Kristin Seffer (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-11-10
publication date: 2025-11-10
starting page: 5
ending page: 5
doi: 10.25929/xqqrgn75