Journal of Applied Interdisciplinary Research
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.
DigiHealth-AI: Outcomes of the First Blended Intensive Programme (BIP) on AI for Health – a Cross-Disciplinary Multi-Institutional Short Teaching Course
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.
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
Vector Diagnosis of Patient Conditions in Telemedicine
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 systems, combines ideas from systems theory, information theory, and linguistics. This integration may offer a new perspective on the classification and interpretation of biological and medical signaling. A coherent theory of biosemiotics needs to be developed.
Copyright (c) 2024 Ozar Mintser, Volodymyr Zhovnir, Yevgen Vember (Author) https://creativecommons.org/licenses/by-sa/4.0
Medical Data Compatibility Problems in the Tasks of Information Systems Integration
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 (metadata) collection, processing, obtaining 'clean' data, data compression. 3. To realize the prospects of precision medicine, approaches to computational learning must evolve with the help of well-chosen and well-integrated digital data ecosystems.
Copyright (c) 2024 Ozar Mintser, Larysa Babintseva, Stanislav Mokhnachov, Olga Sukhanova, Pavlo Hanynets, Alexandr Sarcanich (Author) https://creativecommons.org/licenses/by-sa/4.0
A Scoping Review of the Role of Clinical Decision Support Systems in Intensive Care Units during the COVID-19 Pandemic
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 that medical interventions corresponded with the dynamic course of the illness. Moreover, CDSS helped with risk classification, which enabled medical practitioners to carefully manage resource allocation and customise interventions based on the unique profiles of each patient. Through the reduction of errors and improvement of patient safety, CDSS was significant in the field of drug management. These technologies met the vital requirement for accuracy in COVID-19 patient care by providing notifications for drug interactions, dosage modifications, and medication administration. The extensive capabilities that were required in the ICU highlight the revolutionary influence on healthcare delivery that CDSS have. CDSS was invaluable in navigating the challenges of caring critically sick patients in the demanding setting of the global health crisis by integrating evidence-based practices, optimising resource utilisation, and offering real-time decision support.
Copyright (c) 2024 Zaid Olayiwola Olanrewaju (Author); Muhammed Faisal; Rebecca Randell (Author) https://creativecommons.org/licenses/by-sa/4.0
Innovative Databases in Ecomonitoring Information Systems: Images of Genetic Codes as Keys
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.
Copyright (c) 2024 Olena M. Klyuchko, Olga V. Melezhyk (Author) https://creativecommons.org/licenses/by-sa/4.0
Advancing Healthcare: AI Integration, Interoperability and Sustainability Challenges
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.
Copyright (c) 2024 Bala Dhandayuthapani V. (Author) https://creativecommons.org/licenses/by-sa/4.0
Unlocking the Power of Health Data by Ensuring the Public can Trust the EHDS
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.
Copyright (c) 2024 Dipak Kalra (Author) https://creativecommons.org/licenses/by-sa/4.0
Global Digital Health Diplomacy: The Global-EHR and First Steps for a Global Treaty on Digital Health
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.
Copyright (c) 2024 Henrique Martins, Jeremy M. Thorp, Paula Amorim (Author) https://creativecommons.org/licenses/by-sa/4.0
Copyright (c) 2024 Dipak Kalra, Horst Kunhardt, Georgi Chaltikyan, Ozar Mintser, Fara Fernandes (Author) https://creativecommons.org/licenses/by-sa/4.0
Copyright (c) 2024 Michelle Cummings-Koether, Kristin Seffer (Author) https://creativecommons.org/licenses/by-sa/4.0
Improving Customer Experience Using Smart Technologies in Smart Stores
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.
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
From Necessity to Pleasure: The Impact of Hedonic Motivation and Performance Expectancy on Acceptance of Online Grocery Shopping Apps in Germany
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.
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
AI Integration in EHR-Based Pharmacovigilance: A Comparative Study of Germany and Egypt
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.
electronic healthcare records-based pharmacovigilance
Copyright (c) 2025 David Naguib, Georgi V. Chaltikyan, Ahmed Adel (Author) https://creativecommons.org/licenses/by-sa/4.0
Bioelectronic Medicine and Non-Communicable Diseases: Rationale for Clinical Significance, Prospects and Problems
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.
Magnetoelectrochemical Theory of Metabolism
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
Alumni Voice Session at the DigiHealthDayS-2024
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.
Copyright (c) 2025 Camila Tomikawa, Oscar Blanco (Author) https://creativecommons.org/licenses/by-sa/4.0
Transitioning from Paper to Electronic Medical Records in Austrian Helicopter Emergency Medical Services: A Usability Evaluation
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.
Copyright (c) 2025 Magdalena Druml, Eva Turk (Author) https://creativecommons.org/licenses/by-sa/4.0
The Business Model Framework for Digital Health Start-ups in Europe, based on the Innovation Landscape
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.
Copyright (c) 2025 Gaurang Thanekar, Georgi V. Chaltikyan (Author) https://creativecommons.org/licenses/by-sa/4.0
Scientific Session on Thursday, November 14th
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.
Copyright (c) 2025 Martin Gerdes, Fara Aninha Fernandes (Author) https://creativecommons.org/licenses/by-sa/4.0
Navigating the Divide: Informatics as Science and Digitalization as Practice
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.
Copyright (c) 2025 Lars Lindsköld, Camila Tomikawa (Author) https://creativecommons.org/licenses/by-sa/4.0
Engaging Patients and Citizens in Digital Health – Opportunity or Challenge?
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.
Copyright (c) 2025 Birgit Bauer, Benjamin Friedrich (Author) https://creativecommons.org/licenses/by-sa/4.0
True Innovation is an Idea Turned into Value
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.
Copyright (c) 2025 Armin Scheuer, Pilar Fernández Hermida (Author) https://creativecommons.org/licenses/by-sa/4.0
Transforming Healthcare: Bridging Digital Maturity, Health Data, and Global Policy
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.
Copyright (c) 2025 Armin Scheuer, Angela Ahrendt (Author) https://creativecommons.org/licenses/by-sa/4.0
Towards a Globally Recognized and Harmonized Degree of Master of Digital Health (MDH): The Case for an MDH Alliance
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.
Copyright (c) 2025 Georgi V. Chaltikyan, Dmitry Etin, Eugenia Lvova, Fara Aninha Fernandes, Jishen Pfeiffer (Author) https://creativecommons.org/licenses/by-sa/4.0
Digital Health: Implementing at Scale (How Can International and Bavarian Experiences Cross-Fertilize Each Other?)
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.
Copyright (c) 2025 Laura Stahl, Rajendra Pratap Gupta (Author) https://creativecommons.org/licenses/by-sa/4.0
Moonshot Dialogue: The Future of AI in Healthcare and Cutting Edge Digital Health Technologies
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.
Copyright (c) 2025 Angela Ahrendt, Rajendra Pratap Gupta (Author) https://creativecommons.org/licenses/by-sa/4.0
AI Needs High-Quality Health Data at Scale - Will the EHDS Deliver?
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.
Copyright (c) 2025 Dipak Kalra, Eva Sabajova, Birgit Bauer, Dmitry Etin, Henrique Martins (Author) https://creativecommons.org/licenses/by-sa/4.0
Copyright (c) 2025 Michelle J. Cummings-Koether, Kristin Seffer (Author) https://creativecommons.org/licenses/by-sa/4.0
Copyright (c) 2025 Dipak Kalra, Horst Kunhardt, Georgi V. Chaltikyan, Ozar P. Mintser, Fara Aninha Fernandes (Author) https://creativecommons.org/licenses/by-sa/4.0
Research shows children and young people (CYP) engage with apps from as young as 1 years old. CYP often see the value of wearables and enjoy the educational experience of being proactively involved in their health education and management. Parents, carers and teachers are heavy influencers of digital health use, but adults themselves lack policies around digital health education, often focus on risks, and are less familiar with child-led digital health education. Health applications (apps) can create a space for children to learn about health, healthy lifestyles and preventative health measures: Providing personalised knowledge as their bodies and needs develop. CYP are growing up in a world where many health services are likely to have a so-called ‘digital front door’, with some health management strategies or results likely to be delivered on-line or virtually. Due to stretched resources, CYP may need to be able to self-manage mild health conditions and could be better prepared to transition to adult services where they are likely to need to manage their digital health records and safe sharing of their personal health information. CYP have the ability to be the ‘Trojan horse’, introducing apps, wearables or digital health solutions to parents, carers or wider family members without digital literacy or experience. Paediatric apps and related health tech or wearables need to keep a child safe, connected, educated, empowered and healthy. Children should ideally access health apps that are appropriate for their age and support management of their health preventatively and proactively. Children are best not considered as ‘little adults’, despite many apps, available on worldwide app stores, widening the age range of adult health apps to include children. Children have specific health, cognitive, developmental and physiological needs which need to be reflected in the health apps and digital health solutions recommended by health care professionals. This paper examines the considerations needed for designing, recommending, and using paediatric health apps.
Copyright (c) 2023 Tamsin Holland Brown, Karl Prince , Jon Warner (Author) https://creativecommons.org/licenses/by-sa/4.0
Informational Analytical Representations of the Magneto-Electrochemical Theory of Life and Health
The results of a theoretical study related to the role of the electromagnetic field in the process of realizing the phenomenon of life are presented. The aim of the theoretical study was to conceptualize a system of views on the role of internal electromagnetic fields in the human body for understanding the essence of the course of metabolism, the phenomena of biological life and health. General scientific and theoretical methods were used in this theoretical study. The main conclusions of the theoretical study were made as follows: 1. The life of a biological system is a process of magnetoelectric activation of its biomolecules, which starts and ensures their biochemical activity (coherent energy channeling - biochemical soliton flow) and determines structural integrity in their collective interaction of a single organism (transportation of solitons by water-energized structures - controlling soliton flow). 2. Modern deepening of fundamental knowledge to the level of the course of magnetoelectric processes at the molecular level in living biological systems is expedient to be fully integrated into medical science with a change of the electrochemical paradigm of metabolism to a magneto-electrochemical one. 3. Knowledge and understanding of quantum-mechanical features of biopolymers' functions in living systems, the understanding of their energy functioning, the organization of form and role of electromagnetic components is clearly the next step to deepen the fundamental knowledge of pathogenesis of diseases related to internal organs with a further approach to optimize their treatment and prevention.
Magneto-electrochemical theory of metabolism
Copyright (c) 2023 Ozar Mintser, Maksim Potiazhenko, Ganna Nevoit (Author) https://creativecommons.org/licenses/by-sa/4.0