Global innovative perspectives and trends on digital health and patient safety: highlights from the #DHPSP2024 networking event

Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 1 © The Author(s) 2025. This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Exploration of Digital Health Technologies Open Access Original Article Global innovative perspectives and trends on digital health and patient safety: highlights from the #DHPSP2024 networking event Olena Litvinova1,2*, Andy Wai Kan Yeung3, Javier Echeverría4, Yousef Khader5, Md. Mostafizur Rahman6, Zafar Said7, Karolina Lach8, Bhupendra Sidar9,10 , Anastasios Koulaouzidis11,12,13 , Adeyemi O. Aremu14,15 , Conrad V. Simoben16 , Hemanth Kumar Boyina17 , Firdous M. Usman18 , Sheikh Mohammed Shariful Islam19 , Jayanta Kumar Patra20 , Gitishree Das20 , Ganesh Venkatachalam21,22 , Hitesh Chopra23 , Josef Niebauer24,25,26 , Ahmed Fatimi27 , Alexandros G. Georgakilas28 , Mohammad Reza Saeb29 , Doris E. Ekayen30,31 , Kennedy O. Abuga32 , Michał Ławiński33,34, Yue Qiu35 , Eliana B. Souto36 , Guanqiao Li37 , Hari Prasad Devkota38 , Weizhi Ma39, Jamballi G. Manjunatha40 , Nikolay T. Tzvetkov41 , Rupesh K. Gautam42 , Maima Matin33 , Olga Adamska43 , George Koulaouzidis44 , Farhan Bin Matin45 , Bodrun Naher Siddiquea46 , Dongdong Wang47 , Jivko Stoyanov48 , Jarosław Olav Horbańczuk33 , Kamil Wysocki33 , Emil D. Parvanov1,49 , Michel-Edwar Mickael33 , Artur Jóźwik33 , Natalia Ksepka33 , Smith B. Babiaka50,51 , Bey Hing Goh52,53 , Tien Yin Wong54,55,56,57 , Benjamin S. Glicksberg58,59 , Laszlo Barna Iantovics60 , Marcin Łapiński61, Artur Stolarczyk61 , Fabien Schultz62,63 , Stephen T. Wong64,65 , Ronan Lordan66,67 , Faisal A. Nawaz68 , Rajeev K. Singla69,70 , ArunSundar MohanaSundaram71 , Himel Mondal72 , Ayesha Juhi72 , Shaikat Mondal73 , Merisa Cenanovic74 , Elisa Opriessnig75, Christos Tsagkaris76 , Ronita De77 , Siva Sai Chandragiri78 , Robertas Damaševičius79 , Marco Cascella80 , Giuseppe Lisco81 , Vincenzo Triggiani81 , Olga Eugenia Disoteo82 , Atanas G. Atanasov1,33,83,84* 1Ludwig Boltzmann Institute Digital Health and Patient Safety, Medical University of Vienna, 1090 Vienna, Austria 2National University of Pharmacy of the Ministry of Health of Ukraine, 61002 Kharkiv, Ukraine 3Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China 4Departamento de Ciencias del Ambiente, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago 9170022, Chile 5Department of Public Health, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan 6Laboratory of Environmental Health and Ecotoxicology, Department of Environmental Sciences, Jahangirnagar University, Dhaka 1342, Bangladesh 7Mechanical and Aerospace Engineering Department, College of Engineering, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates 8Division of Medical Biology, Jan Kochanowski University, 25-406 Kielce, Poland 9Data Science, Indian Institute of Technology Madras, Chennai 600036, Tamil Nadu, India 10PM Research Center, Väpnaregatan 22, 58649 Linköping, Sweden 11Department of Clinical Research, University of Southern Denmark (SDU), 5230 Odense, Denmark 12SATC-C, Department of Surgery, Svendborg Sygehus, Odense University Hospital (OUH), 5700 Svendborg, Denmark 13Department of Social Medicine & Public Health, Pomeranian Medical University (PUM), 70-204 Szczecin, Poland 14Indigenous Knowledge Systems Centre, Faculty of Natural and Agricultural Sciences, North-West University, Private Bag X2046, Mmabatho 2745, South Africa 15School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Durban 4041, South Africa 16Structural Genomics Consortium, University of Toronto, Toronto, Ontario M5G 1L7, Canada 17University Institute of Pharma Sciences, Chandigarh University, Mohali 140413, Punjab, India 18American Hospital Dubai, Dubai 5566, United Arab Emirates 19Institute for Physical Activity and Nutrition, Deakin University, Melbourne 3125, Australia Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 2 20Department of Food Science and Biotechnology, College of Life Science and Biotechnology, Dongguk University-Seoul, Goyangsi 10326, Republic of Korea 21Electrodics and Electrocatalysis (EEC) Division, CSIR - Central Electrochemical Research Institute (CSIR - CECRI), Karaikudi 630003, Tamil Nadu, India 22Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India 23Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India 24Institute of Sports Medicine, Prevention and Rehabilitation and Research Institute of Molecular Sports Medicine and Rehabilitation, Paracelsus Medical University, 5020 Salzburg, Austria 25REHA-Zentrum Salzburg, 5020 Salzburg, Austria 26Ludwig Boltzmann Institute for Digital Health and Prevention, 5020 Salzburg, Austria 27Chemical Science and Engineering Research Team (ERSIC), Department of Chemistry, Polydisciplinary Faculty of Beni Mellal (FPBM), Sultan Moulay Slimane University (USMS), Beni Mellal 23000, Morocco 28DNA Damage Laboratory, Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou Campus, 15780 Athens, Greece 29Department of Pharmaceutical Chemistry, Medical University of Gdańsk, 80-416 Gdańsk, Poland 30Department of Plant Science, University of Buea, Buea P.O. Box 63, Cameroon 31Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, D-79104 Freiburg, Germany 32Department of Pharmaceutical Chemistry, School of Pharmacy, University of Nairobi, Nairobi 00202, Kenya 33Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, 05-552 Magdalenka, Poland 34Department of General, Gastroenterologic and Oncologic Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland 35Tsinghua University, Beijing 100084, China 36UCD School of Chemical and Bioprocess Engineering, University College Dublin, D04 V1W8 Dublin, Ireland 37Vanke School of Public Health, Tsinghua University, Beijing 100084, China 38Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto 862-0973, Japan 39Institute for AI Industry Research, Tsinghua University, Beijing 100084, China 40Department of Chemistry, FMKMC College, Mangalore University Constituent College, Madikeri 571201, Karnataka, India 41Department of Biochemical Pharmacology and Drug Design, Institute of Molecular Biology “Roumen Tsanev”, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria 42Amity Institute of Pharmacy, Amity University Uttar Pradesh, Noida 201303, Uttar Pradesh, India 43Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszynski University, 01-938 Warsaw, Poland 44Department of Biochemical Sciences, Pomeranian Medical University, 71-460 Szczecin, Poland 45Department of Pharmacy, East West University, Dhaka 1212, Bangladesh 46Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia 47Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Ontario L8S 4L8, Canada 48Swiss Paraplegic Research, CH-6207 Nottwil, Switzerland 49Institute of Molecular Biology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria 50Department of Chemistry, Faculty of Science, University of Buea, Buea P.O. Box 63, Cameroon 51Department of Microbial Bioactive Compounds, Interfaculty Institute for Microbiology and Infection Medicine, University of Tübingen, 72076 Tübingen, Germany 52Sunway Biofunctional Molecules Discovery Centre (SBMDC), School of Medical and Life Sciences, Sunway University, Sunway City 47500, Malaysia 53Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo 2007, Australia 54Singapore National Eye Center, Singapore Eye Research Institute, 168751, Singapore 55Duke-NUS Medical School, National University of Singapore, 119077, Singapore 56Beijing Visual Science and Translational Eye Research Institute (BERI), Beijing Tsinghua Changgung Hospital, Tsinghua Medicine, Tsinghua University, Beijing 100084, China 57School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing 100084, China 58Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 59Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 60Department of Electrical Engineering and Information Technology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș, 540142 Târgu Mureș, Romania 61Orthopaedic and Rehabilitation Department, Medical University of Warsaw, 02-091 Warsaw, Poland 62Ethnopharmacology & Zoopharmacognosy, Bernhard Nocht Institute for Tropical Medicine, 20359 Hamburg, Germany 63Department of Agriculture and Food Sciences, Neubrandenburg University of Applied Sciences, 17033 Neubrandenburg, Germany Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 3 64Department of Systems Medicine and Bioengineering, Houston Methodist Cancer Center and T. T. and W. F. Chao Center for BRAIN, Houston Methodist Academic Institute, Houston Methodist Hospital, Houston, TX 77030, USA 65Departments of Radiology, Pathology and Laboratory Medicine and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA 66Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-5158, USA 67Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-5158, USA 68Emirates Health Services, Al Amal Psychiatric Hospital, Dubai P.O. Box 2299, United Arab Emirates 69Department of Pharmacy and Institutes for Systems Genetics, Center for High Altitude Medicine, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China 70School of Pharmaceutical Sciences, Lovely Professional University, Phagwara 144411, Punjab, India 71School of Pharmacy, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India 72Department of Physiology, All India Institute of Medical Science, Deoghar 814152, Jharkhand, India 73Department of Physiology, Raiganj Government Medical College, Raiganj 733134, West Bengal, India 74Independent Researcher, 71000 Sarajevo, Bosnia and Herzegovina 75Medical University of Graz, 8010 Graz, Austria 76European Student Think Tank, Public Health and Policy Working Group, 1058 DE Amsterdam, Netherlands 77Independent Researcher, Kolkata 700019, West Bengal, India 78Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA 79Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland 80Department of Medicine, University of Salerno, 84081 Salerno, Italy 81Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy 82Division of Endocrinology, Diabetology and Clinical Nutrition, Sant’Anna Hospital - ASST Lariana, 22042 Como, Italy 83Laboratory of Natural Products and Medicinal Chemistry (LNPMC), Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 602105, Thandalam, India 84Patient Safety & Digital Health (PaDiH) Group, Fakultät Medizin/Zahnmedizin, Danube Private University, 3500 KremsStein, Austria *Correspondence: Olena Litvinova, National University of Pharmacy of the Ministry of Health of Ukraine, 61002 Kharkiv, Ukraine. [email protected]; Atanas G. Atanasov, Ludwig Boltzmann Institute Digital Health and Patient Safety, Medical University of Vienna, 1090 Vienna, Austria. [email protected] Academic Editor: Zhaohui Gong, Ningbo University, China Received: January 22, 2025 Accepted: July 22, 2025 Published: October 16, 2025 Cite this article: Litvinova O, Yeung AWK, Echeverría J, Khader Y, Rahman MM, Said Z, et al. Global innovative perspectives and trends on digital health and patient safety: highlights from the #DHPSP2024 networking event. Explor Digit Health Technol. 2025;3:101166. https://doi.org/10.37349/edht.2025.101166 Abstract Aim: This manuscript summarizes the key scientific and practical outcomes of the #DHPSP2024 digital networking event, focusing on emerging trends in digital health technologies, innovations in patient safety, and their implications for improving healthcare delivery. Methods: The #DHPSP2024 event was held from June 18 to 20, 2024, on X (formerly Twitter) and LinkedIn, connecting professionals and stakeholders in digital health and patient safety from different sectors. Data from posts on X and LinkedIn were analyzed for geographical distribution, engagement metrics (impressions, likes, shares), top hashtags, and frequently used terms. A qualitative analysis of the central themes and key online messaging discussions of the network event was also conducted. Results: On X, 2,329 posts by 179 participants from 38 countries generated over 231,000 impressions, with the most activity in Austria, China, and India. LinkedIn engagement included 3,475 likes, 217 comments, and 2,030 shares. Both platforms highlighted core themes such as digital health, patient safety, treatment quality, research on natural compounds, and interdisciplinary collaboration. Online messaging discussions emphasized technologies like telemedicine and artificial intelligence as critical tools for enhancing care delivery and patient safety. Participants also promoted special issues of scientific journals and explored collaborative research opportunities. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 4 Conclusions: The #DHPSP2024 event underscored the pivotal role of digital technologies in transforming healthcare, particularly in improving the quality and safety of interventions. The findings demonstrate how digital networking events, grounded in open innovation, foster global research communities, accelerate knowledge exchange, and support the integration of clinically relevant digital solutions. The strong engagement reflects growing interest in leveraging digital platforms to advance health outcomes and professional development. Overall, the event contributed to greater visibility of ongoing research, encouraged interdisciplinary cooperation, and may positively influence both the adoption of innovations in healthcare practice and the dissemination of scientific knowledge. Keywords academic networking, digital health, healthcare hashtags, innovation, LinkedIn, patient safety, social media, X (formerly Twitter) Introduction Digital health is a rapidly growing research area, with a vast amount of evidence accumulated in recent years to better understand the mechanisms of human diseases and improve their diagnosis and treatment. Today, it is widely acknowledged that digitalization contributes and will continue to contribute significantly to solving many health challenges [1, 2]. Digital health is closely related to different fields of experimental and practical medicine, and it is of high importance for ensuring patient safety. Digitalization reduces the likelihood of errors and improves the quality of care and monitoring of patients, optimizing the processes of prevention, diagnosis, and treatment of diseases [3–8]. In particular, digital tools can improve diagnostic accuracy (for example, using AI algorithms [9]), provide continuous monitoring of patient physiological parameters through wearable devices, automate adherence control, and implement telemedicine solutions to provide access to care in remote regions. These approaches are aimed at solving systemic health problems, including a shortage of personnel, overload of institutions, an increase in chronic diseases, an aging population, etc. [2]. According to the World Health Organization (WHO) Global patient safety report (2024), unsafe health care is a major global problem affecting more than 10% of patients and causing millions of deaths, as well as significant economic losses, especially in lowand middle-income countries. Improving patient safety can significantly reduce costs and improve the cost-effectiveness of healthcare, with the potential for annual savings of up to $1.17 trillion [10]. To improve patients’ safety, WHO has included the adoption of digital technologies in its Global Action Plan 2021–2030. The plan also emphasizes the implementation of open and transparent reporting systems that identify the causes of incidents, learn from mistakes, and prevent their recurrence, contributing to enhanced patient safety and healthcare efficiency. These processes are made more efficient through digital communication tools that support information exchange, accelerate the implementation of innovative solutions, and promote the spread of “open innovation” [11]. Furthermore, one of the objectives of the Global Digital Health Strategy 2020–2025 is to foster global collaboration and support the transfer of knowledge in the field of digital health [12]. Open innovations stimulate the development and implementation of new solutions in healthcare [13– 15]. Thus, the creation of open digital platforms plays a crucial role in supporting innovative approaches to ensuring patient safety and the effective prevention and treatment of diseases. For example, the Digital Health and Patient Safety Platform (DHPSP) has been developed and implemented. This open innovation initiative facilitates collaborative research and the development of digital solutions to enhance patient safety [16]. Another significant example from the health sciences domain is the open innovation platform “International Natural Product Sciences Taskforce” (INPST), which brings together researchers in the field of natural product studies [17]. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 5 Within the framework of open digital medical platforms, researchers are actively using additional formats of conferences, network events with the involvement of social networks (X (Twitter), LinkedIn, etc.), and the use of hashtags, which facilitate knowledge exchange and stimulate discussions on innovative healthcare solutions [18–23]. Despite the obvious benefits of social media, its unique potential requires further study and dissemination to physicians and patients worldwide. At the same time, online events specifically related to digital health and patient safety using social networks have not been broadly implemented up to now. In this regard, a networking event, DHPSP2024, was held from June 18 to 20, 2024, using a variation (#DHPSP2024) of the conventional hashtag (#DHPSP) of the DHPSP on the social networks X and LinkedIn. The organizers encouraged the use of the hashtag #DHPSP2024 to connect and engage digital health and patient safety professionals in expanding their professional network. This paper offers something new in the form of a structured analysis of digital health networking activities across two of the most important social media platforms, X and LinkedIn, and understanding how professional and stakeholder communities engage and diffuse knowledge in this area. Although various other studies have addressed either one of these platforms at a time or a particular event, the added power of real-time digital engagement with cross-platform synergies in professional networking is underlined. Further, the findings go beyond the traditional academic metrics through a study of how hashtags, impressions, and qualitative themes can also be used when analyzing the virtual event for creating a global collaboration of innovation. Thus, this study aims to summarize the outcomes of the #DHPSP2024 digital networking event and systematically analyze the relevant posts that were shared in the frame of this event on X and LinkedIn. Particular attention is paid to identifying new trends in digital medical technologies, innovations in patient safety, and their impact on improving treatment efficiency. Materials and methods The digital networking event #DHPSP2024 was held from June 18 to 20, 2024, bringing together digital health and patient safety professionals. The organizing committee of the network event was headed by Dr. Atanas G. Atanasov. Participants were encouraged to share relevant messages through their profiles on X or LinkedIn, mentioning the hashtag #DHPSP2024, while the use of additional relevant hashtags was not discouraged. Topical issues of digital health and patient safety led to the following main proposed areas for interaction: demonstration of own research by participants; collaboration calls (“Searching for collaboration partners to do joint work on...”); jobs; announcements of special issues of journals; announcements of conferences, seminars, or lectures; linking to relevant new publications; presentation of products, services, or developed technologies; and other types of communications related to digital health or patient safety. The event was attended by representatives of the academic community, medical specialists, digital solutions developers, representatives of the editorial board of scientific journals, and other stakeholders. Such an intersectoral composition ensured the versatility of the topics discussed and expanded the range of digital initiatives presented. The social network X was used to extract data on posts associated with the hashtag #DHPSP2024 from March 6 to July 6, 2024. This made it possible to take into account the activity of participants before, during, and after the #DHPSP2024 event to ensure an understanding of the dynamics of participant engagement, including preparation for the event, discussions in the process, and reactions after its completion. Tweets containing this hashtag were analyzed using the Fedica (https://fedica.com/) tool as of 06.07.2024. An analysis of the geographical distribution of tweets, impressions, the most popular hashtags, and key terms was carried out. Analogic analysis of posts containing #DHPSP2024 was also done on the LinkedIn social network as of July 6, 2024. LinkedIn posts were also analyzed for the most popular hashtags and key terms. The following steps were taken to analyze Х and LinkedIn data. First, after uploading the CSV files containing the tweet or LinkedIn data, the text was processed by removing URLs and special characters and converting it to lowercase. After splitting the text into individual words, common English stop words were Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 6 excluded using the NLTK library in Python. Thereafter, the occurrences of each word were counted and hashtags from tweets or LinkedIn data posts were identified. Additionally, pairs of hashtags that frequently appeared together were analyzed in the Х dataset. The fifty most frequently occurring words, hashtags, and co-occurring hashtag pairs were also identified. In addition to the quantitative analyses described above, a qualitative content analysis was incorporated to enrich the study’s analytical design. The content of #DHPSP2024 posts was reviewed to identify recurring themes and contextual details beyond word frequencies, with posts categorized according to the predefined areas of interaction (e.g., personal research sharing, collaboration calls, new technology presentations) that guided the event. Through manual examination, it became possible to connect specific digital health technologies mentioned to their relevant healthcare domains, rather than just listing them. For instance, this process allowed a connection between discussions of telemedicine applications and the context of patient care, or a relation of mentions of AI tools to the medical fields they aim to improve. This mixed-methods approach (combining quantitative metrics with qualitative thematic analysis) provided both a broad overview of social media engagement and deeper insight into how participants framed digital health innovations in practice. The extraction and analysis of data from X (formerly Twitter) and LinkedIn were conducted by a core team of two researchers (AGA and MEM), with two additional contributors assisting in qualitative review (OL and MM). Data processing was initiated by the lead authors, who exported content using the Fedica platform (for X) and LinkedIn analytics tools. To ensure analytical rigor, both platforms’ datasets were independently reviewed by at least two researchers each. Discrepancies in coding, thematic classification, or interpretation were resolved through group discussion and consensus among the four researchers. Cross-validation of themes and metrics (e.g., top hashtags, engagement rates, word frequency) was performed to ensure consistency. The decision on which topics to report in the results was guided by relevance to digital health and patient safety, frequency of appearance, and potential scientific or practical significance. A final agreement on themes and their categorization was reached through iterative discussions among all involved authors. The key themes that emerged and are flagged in the Results and Discussion sections include: (1) telemedicine and AI in diagnostics and care, (2) digital pharmacovigilance and health sensors, (3) social media in medical education and communication, (4) digital twins and virtual platforms for care planning, and (5) patient safety initiatives and global engagement with digital health innovations. All data is presented anonymously in compliance with the General Data Protection Regulation (GDPR), without mentioning specific accounts. Results An analysis of the posts using the hashtag #DHPSP2024 on the social media platform X revealed a significant level of engagement and geographic diversity among participants in the study period. A total of 2,329 posts were published by 179 participants from 38 countries, generating over 231,000 impressions. The distribution of posts with #DHPSP2024 by the countries most actively participating in the discussion is shown in Figure 1. These findings suggest a global interest in the topic of digital health and patient safety, extending across various regions. Thus, the digital networking event #DHPSP2024 has gained widespread recognition. Austria, China, and India took the first three positions. The high activity of participants from these countries may be due to the involvement of their researchers in organizing the event and professional activity in the field of digital health. In addition, these countries are characterized by high institutional support for the development of digital medical technologies, developed digital infrastructure, government support for digitalization, and strong academic and research clusters that contribute to the promotion of relevant initiatives. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 7 Figure 1. Distribution of X accounts participating in the #DHPSP2024 network event ranked by country. An analysis of the time of posting activity of users of the social network X using the hashtag #DHPSP2024 revealed its peak from June 18 to June 20, 2024, coinciding with the network event. The #DHPSP2024 online event on LinkedIn garnered 3,475 likes, 217 comments, 2,030 shares, and reached overall 5,722 engagements, demonstrating high participant activity and wide reach. The primary objective of the conference was to bring together individuals and organizations interested in the state of modern digital health and patient safety. In connection with this, an analysis of the #DHPSP2024 posts was carried out to find the most common words and hashtags on the social networks X and LinkedIn. X data analysis reveals the focus on digital health The collected X data emphasizes digital health and patient safety, with frequent mentions of “digital” and “health,” indicating a focus on technological advancements. “Patient” and “safety” are also prominent, highlighting discussions on care quality. Networking and research are key themes, as seen in terms like “networking,” “technologies,” and “research.” The use of words like “share,” “study,” and “article” suggests a research focus and collaborative effort to improve health outcomes. Along the same line, mentions of “journal,” “book,” and “papers” reflect a commitment to academic contributions and knowledge dissemination (Table 1, Figure 2). Table 1. Fifty most common words of the #DHPSP2024 posts on X. Rank Word Count Rank Word Count 1 digital 1,528 26 journal 142 2 health 1,506 27 book 136 3 patient 910 28 disease 132 4 safety 902 29 promote 130 5 networking 286 30 potential 130 6 healthcare 284 31 papers 128 7 technologies 276 32 AI 128 8 event 272 33 data 128 Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 8 Table 1. Fifty most common words of the #DHPSP2024 posts on X. (continued) Rank Word Count Rank Word Count 9 care 256 34 cancer 126 10 review 236 35 drug 124 11 special 216 36 new 124 12 issue 214 37 global 124 13 published 204 38 glad 122 14 study 204 39 systems 118 15 future 200 40 twitter 116 16 share 196 41 sharing 110 17 analysis 188 42 intelligence 110 18 research 186 43 technology 106 19 article 178 44 role 104 20 online 168 45 views 102 21 dive 164 46 patients 100 22 June 156 47 connect 100 23 improving 152 48 collaborate 100 24 access 152 49 tools 98 25 applications 150 50 conference 98 Figure 2. Word cloud of the 50 most common words revealed from the X datasets analysis of the #DHPSP2024 posts. Analysis of the word counts from Table 1 using the Lilliefors goodness-of-fit test reveals a departure from normality, which was additionally validated by using the Q-Q plot (Figure 3). The search for extremes, Figure 4, identified values associated with the words ranked on the first four positions (digital, health, patient, safety) as statistically significant extremes that proved the principal focus of the digital networking event. Thus, the results indicate that the networking events attracted focus on words related to academia and networking as well as digital health. Moreover, our 50 most common hashtag analysis supports the evidence that the networking event was successful in focusing on patient digital health. The X hashtag data highlights a strong focus on digital health and patient safety, with #DHPSP2024, #DigitalHealth, and #PatientSafety leading the conversation (Table 2). The top hashtags emphasize the importance of healthcare innovations and patient well-being. Hashtags like #SciComm and #INPST Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 9 Figure 3. Quantile-Quantile (Q-Q) plot assessing the normality of word counts from Table 1. Figure 4. Box Plot highlighting extreme word frequencies from Table 1. underscore the value of scientific communication and research collaboration. The dataset also reveals discussions around specific health issues, with hashtags like #Telehealth, #Dementia, and #NutritionFacts indicating targeted topics. Overall, the data reflect an active community engaged in promoting digital health advancements and enhancing global healthcare practices (Table 2). Table 2. 50 most common hashtags of the #DHPSP2024 posts on X, sorted by number of occurrences. Rank Word Count Rank Word Count 1 #DHPSP2024 677 26 #mdpifoods 17 2 #DigitalHealth 347 27 #ExplorDHT 17 3 #PatientSafety 235 28 #EUPSA 17 4 #INPST 126 29 #DHPS 16 5 #DHPSP 115 30 #cancer 16 6 #Gratitude 63 31 #Dementia 15 Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 16 Digital technologies in drug development and pharmacovigilance Special attention was given to the digital aspects of drug development. Tools for molecular modeling and virtual screening were presented, which contribute to more efficient drug design [48]. It was reported that molecular docking and in vitro studies of two new TOP2β inhibitors were conducted and yielded interesting outcomes. Despite good binding affinity, the studied compounds were less effective in inhibiting cellular proliferation compared to etoposide [49]. The potential of digital technologies for preventing drug side effects at various stages of pharmaceutical development, including molecular design, ML, and others, was highlighted [50]. A developed BERT model for extracting data on drug side effects from social media was reported, enhancing pharmacovigilance [51]. AI is also being actively used to optimize clinical trials, accelerating diagnostic processes and patient management [52]. These advancements open new opportunities for improving treatment efficacy and patient safety. Implementing AI in health insurance Questions have been raised about the implementation of AI to predict health insurance claims [53]. Key factors such as smoking, body mass index, and blood pressure have been identified as affecting forecasting, which could lead to cost savings for insurance companies. Patient safety and quality of care The topic of the network event also included issues of patient safety and improving the quality of treatment. One post highlighted research in Austrian hospitals that identified key factors affecting patient safety, such as open communication and executive actions, and showed differences in perceptions of safety culture among doctors, nurses, and other staff groups. The results confirmed that the safety culture has significant potential for improvement and recommended evidence-based practices to improve safety and treatment outcomes [54]. Considering the use of digital technologies in long-term care facilities for the elderly, the authors note that text processing and ML improve the quality of care and contribute to more informed decision-making [55]. One important aspect of the discussion has been obesity research, which is associated with endocrine, genetic, and metabolic disorders that increase the risk of cardiovascular disease and diabetes, which requires an integrated approach to treatment and prevention [56]. Monkeypox prevention measures were also considered, including understanding transmission mechanisms and developing effective vaccines [57]. The network event also actively discussed key studies and new approaches in the treatment and diagnosis of neurological diseases. One interesting post addressed the role of brain connectivity disruptions, as seen in magnetic resonance imaging scans, as precursors to dementia [58]. Special attention was given to the study of the impact of diet on the development of neurodegenerative diseases. Adherence to a Mediterranean diet was found to be associated with improved cognitive functions, particularly in individuals at risk of Alzheimer’s disease [59]. Additionally, data were presented on the significance of natural compounds in the treatment of neurodegenerative diseases. The use of phytochemicals from plants and aquatic organisms, combined with nanotechnology, opens new prospects for enhancing the therapy of these diseases [60]. New therapeutic approaches to the treatment of depression were also discussed. Augmented depression therapy (ADepT) showed higher effectiveness than cognitive-behavioral therapy, particularly in terms of improving well-being and reducing depressive symptoms [61]. Clinical trial results were also presented, showing the positive effects of probiotics and prebiotics on the psycho-emotional state of patients with depression. These data highlighted the importance of maintaining a healthy microbiome for the prevention and treatment of mental health disorders [62]. The role of social interactions in maintaining physical and mental health was also discussed. Research demonstrated that having social connections significantly contributes to better health, while social isolation can have a destructive impact on the body [63]. Furthermore, the experience of using the Calm mobile app to reduce stress in students was presented [64]. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 17 Participants in the networking event actively discussed research on natural compounds with various biological activities. Thus, the health benefits of anthocyanins contained in grapes, various berries, rice, corn, potatoes, and other products [25] are reported. The results of studies concerning the beneficial properties of Syzygium jambos fruits and seeds [65] are also presented. Analgesic and anti-inflammatory effects of Aerva javanica extracts [66] were found. The immunomodulatory effect of rosmarinic acid from Punica granatum [67] and the antioxidant and anti-inflammatory properties of saffron [68] have been reported. In addition, data are provided on synthesized O-alkyl derivatives of organic acids that have demonstrated antioxidant properties and the ability to protect dietary fats from oxidation, which opens up prospects for improving the quality of food [69]. Search for partners and vacancies in the scientific field The networking event discussed finding collaborative partners and jobs, and featured research award opportunities such as the 2024 Young Investigator Award (2,000 CHF; Application Deadline 31 December 2024), a PhD position within the natural products research laboratory at the University of Strathclyde, a PhD studentship in the Centre for Skin Sciences, University of Bradford, the Patchwork Health Clinical Fellowship Program, and a project assistant position (Department of Biological Sciences & Biotechnology, Faculty of Science & Technology, UKM), and a PhD position in AI/ML Algorithms for 6G Telemetry Systems (Netherlands), and a specialist job opening in textual analysis for creating collaborations, etc. Announcements of special issues and scientific journals Participants in the network event paid special attention to the announcements of special issues of the journals, such as “Insight in Pharmacological Treatment of Pain” in the journal Frontiers in Pain Research, “Exploration of Digital Health Technologies”, Special Issue “Applications of Cheminformatics and Machine Learning in Predictive Modeling of Property and Toxicity Endpoints of Nanoparticles” in Computational and Structural Biotech Journal, Biomolecules Special Issue “Therapeutic Potential of Natural Products in Metabolic Diseases”; Pharmaceutics Special Issue “Computational Intelligence Tools in Applications of Pharmaceutics”, etc. In addition, book and patent publications were presented, as well as information on changes to the JCR list in 2024. Announcements about scientific events and conferences The network event posts featured announcements of seminars, lectures, and conferences such as AARM 2024, 1st International Conference on Autism Advanced Research and Management in Athens, 27th Annual National Convention of the Association of Pharmaceutical Teachers of India (APTICON-2024), and UCL Open Science Conference 2024, among others. Other digital health solutions Various digital health technologies and developments were also highlighted, such as Liminal VR virtual reality to improve learning and corporate health, the NaviCam system for non-invasive stomach exams, and the BMind smart mirror using AI to improve mental health. In addition, best practices in chemical characterization of plant extracts and safe digital health monitoring solutions [70], and a video regarding early detection of colorectal cancer, among others, were discussed. Overall, the event posts referenced several cutting-edge technologies across various healthcare domains. For example, Liminal VR, a virtual reality platform for improving learning in corporate health training, illustrates how immersive technology can be leveraged in healthcare professional education and workplace wellness. Also highlighted was the NaviCam system, an ingestible capsule endoscopy device for non-invasive stomach examinations, reflecting an advancement in gastroenterology that enhances patient comfort and safety by avoiding traditional endoscopy procedures. Similarly, the BMind smart mirror, which uses AI to support mental health, was noted as an unobtrusive digital tool to monitor and promote wellbeing in everyday settings. Participants also shared best-practice guidelines [70] for safe digital health monitoring and a video on early detection of colorectal cancer. This sharing of resources demonstrates how Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 18 the community used the #DHPSP2024 event not only to spotlight new technologies but also to disseminate knowledge and raise awareness about patient safety practices (for example, standardizing approaches to digital health research and promoting important public health messages). Interpretation of key insights and practical implications A key observation from the event’s data is the prominence of telemedicine and AI in the conversations. This suggests a collective recognition among participants that these technologies are crucial drivers for enhancing patient safety and healthcare quality. For instance, repeated references to telehealth initiatives indicate its established role in maintaining continuity of care and expanding access to services. Meanwhile, enthusiasm for AI-driven tools—from diagnostics in ophthalmology and oncology to decision-support in mental health—highlights the expectation that intelligent systems will increasingly support clinical decision-making and personalized treatment. These insights align with broader trends in digital health and confirm that global stakeholders are actively focusing on technologies with immediate practical impact. Another important implication of our findings lies in the distinct ways different social platforms were used during the event. X and LinkedIn served complementary purposes: X facilitated rapid science communication and community building (e.g., sharing research highlights with hashtags like #SciComm), whereas LinkedIn was utilized for professional discourse and networking (e.g., discussions on data science applications and calls for collaboration). This dual-platform dynamic suggests that future digital health networking initiatives can maximize reach and engagement by leveraging each platform’s strengths—using the real-time, inclusive conversations on X to generate interest, and the more formal professional exchanges on LinkedIn to deepen discussions. For event organizers and communicators, understanding this distinction is valuable for tailoring strategies to better connect with the intended audience on each platform. From a practical perspective, our analysis provides a snapshot of emerging priorities in the digital health and patient safety landscape. The wide geographic participation (posts from 38 countries) underscores that improving patient safety through digital innovation is a globally shared concern, and it demonstrates how social media can bridge diverse regions in health discussions. Readers can glean which areas—such as telecardiology, AI-powered diagnostics, IoMT for chronic care, and VR-based health training—are currently capturing the community’s attention and investment. Such awareness can help healthcare professionals and policymakers recognize promising digital solutions and identify opportunities for collaboration. For example, the strong interest in telemedicine even after the acute phase of the pandemic suggests that health systems should continue integrating virtual care into standard practice. Similarly, the community’s enthusiasm for novel AI tools may encourage targeted research funding and cross-disciplinary partnerships to further develop and implement these innovations. Finally, we acknowledge the limitations of using social media content as research data when interpreting our findings. Our analysis captures participants’ engagement and perspectives during a networking event, which offers insight into community interests but does not directly measure the realworld effectiveness or outcomes of the technologies discussed. Accordingly, we have confined our conclusions to describing how the digital health community interacted and what topics were trending, rather than making broad generalizations about healthcare impact. This approach ensures our interpretations remain grounded in the available data and avoids overstating the implications. Despite these limitations, we believe that capturing this moment in the digital health discourse is valuable. By identifying what experts and stakeholders found noteworthy during #DHPSP2024, our study provides an early indicator of where innovation and collaboration efforts are headed in this field. In adopting this balanced approach, we aim to offer meaningful insights to readers while maintaining appropriate caution. Looking forward: advancing digital health through policy, ethics, and global collaboration As digital health technologies continue to evolve, their integration into healthcare systems is expected to accelerate, transforming care delivery toward a more personalized, predictive, and participatory model. AI Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 19 will likely expand its role in diagnostics, decision support, and administrative automation, while digital therapeutics and remote monitoring tools will enhance chronic disease management and early intervention strategies [29]. However, these advances bring complex challenges that must be addressed to ensure equitable and ethical adoption. Ensuring health equity—especially among underserved populations with limited digital access or literacy—remains a top priority, alongside safeguarding cybersecurity and data privacy in increasingly interconnected health ecosystems [6, 50]. Regulatory systems must also adapt to assess the safety, efficacy, and interoperability of rapidly emerging tools such as AI algorithms and wearable devices [34]. Furthermore, ethical concerns, including algorithmic bias, transparency, and patient autonomy, demand frameworks that promote inclusivity, informed consent, and accountability in digital applications [47, 71]. Global and cross-sectoral collaboration will be pivotal in addressing these concerns. Initiatives such as the WHO’s Global Initiative on Digital Health (GIDH) and the Global Digital Health Partnership (GDHP) exemplify efforts to align digital health strategies, infrastructure, and policy at a transnational level [72, 73]. These platforms aim to support countries in moving from fragmented pilot projects to sustainable digital ecosystems, ensuring that innovations translate into safer, more effective, and more accessible care. The insights gained from the #DHPSP2024 event underscore the need to proactively anticipate these dynamics, enabling the digital health community to shape a future that is not only technologically advanced but also ethically responsible and globally inclusive. Conclusions Based on the results of the network event, the following conclusions and recommendations can be made. The networking event facilitated the exchange of ideas and experiences, providing opportunities for participants to find collaborators, collaborative projects, and to strengthen scientific ties. This stimulates the formation of new models of digital health and the introduction of advanced solutions to improve patient safety and quality of care. The data obtained can be used to develop educational programs, improve digital interfaces, implement AI solutions, and create patient safety monitoring platforms. The application of the principles of open innovation within the event accelerated the process of finding and implementing new ideas, which might be significantly surpassing the traditional “closed” model of innovation in speed and efficiency. In addition, the event has become a source of motivation for researchers. The opportunity to present their scientific works to the scientific community will contribute to their wide distribution and increased visibility, which might have a positive effect on future citations of scientific publications. Messages about upcoming conferences will allow participants to expand their professional knowledge and improve their skills. The DHPSP platform benefited from the additional networking opportunities that will hopefully promote further fruitful cooperation, with the potential to contribute to the successful implementation of future digital health and patient safety solutions. Abbreviations AI/ML: artificial intelligence/machine learning DHPSP: Digital Health and Patient Safety Platform INPST: International Natural Product Sciences Taskforce IoMT: Internet of Medical Things WHO: World Health Organization Declarations Acknowledgments The authors express their sincere gratitude to the participants of the #DHPSP2024 event for their active engagement and significant contributions to the content analyzed in this study. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 20 Author contributions OL: Conceptualization, Methodology, Formal analysis, Investigation, Writing—original draft. MEM: Conceptualization, Methodology, Formal analysis, Investigation, Writing—review & editing. MM: Formal analysis, Investigation, Writing—review & editing. LBI: Formal analysis, Investigation, Writing—review & editing. EO: Conceptualization, Methodology, Visualization, Writing—review & editing. AGA: Conceptualization, Methodology, Formal analysis, Investigation, Writing—original draft. AWKY, JE, YK, MMR, ZS, KL, BS, AK, AOA, CVS, HKB, FMU, SMSI, JKP, GD, GV, HC, JN, AF, AGG, MRS, DEE, KOA, Michał Ł, YQ, EBS, G Li, HPD, WM, JGM, NTT, RKG, OA, GK, FBM, BNS, DW, JS, JOH, KW, EDP, A Jóźwik, NK, SBB, BHG, TYW, BSG, Marcin Ł, AS, FS, STW, RL, FAN, RKS, AM, HM, A Juhi, SM, M Cenanovic, CT, R De, SSC, R Damaševičius, M Cascella, G Lisco, VT, and OED: Conceptualization, Validation, Writing—review & editing. All authors read and approved the submitted version. Conflicts of interest Atanas G. Atanasov is the Editor-in-Chief of Exploration of Digital Health Technologies. Atanas G. Atanasov is an Advisory Board member of QluPod AG, a health-tech company aiming for the development of innovative telehealth solutions. Yousef Khader, Zafar Said, Josef Niebauer, Alexandros G. Georgakilas, and Eliana B. Souto are Associate Editors of Exploration of Digital Health Technologies. Sheikh Mohammed Shariful Islam, Mohammad Reza Saeb, and Jamballi G. Manjunatha are both Associate Editors and Guest Editors of Exploration of Digital Health Technologies. Andy Wai Kan Yeung, Md. Mostafizur Rahman, Anastasios Koulaouzidis, Adeyemi O. Aremu, Ganesh Venkatachalam, Hari Prasad Devkota, Nikolay T. Tzvetkov, Dongdong Wang, Jivko Stoyanov, Emil D. Parvanov, and Marco Cascella are Editorial Board members of Exploration of Digital Health Technologies. Robertas Damaševičius is a Guest Editor of Exploration of Digital Health Technologies. Atanas G. Atanasov, all the Editorial Board members, Associate Editors, and Guest Editors mentioned above had no involvement in the decision-making or the review process of this manuscript. The other authors declare that they have no conflicts of interest. Ethical approval Not applicable. Consent to participate Not applicable. Consent to publication Not applicable. Availability of data and materials The data analyzed for this study are included in the manuscript, and additional information can be obtained from the corresponding authors upon request. Funding AGG acknowledges funding from project BIOSPHERE [No. 21GRD02] that has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. This work was supported by the Sichuan Science and Technology Program (Grant No. [2025YFHZ0213]). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright © The Author(s) 2025. Explor Digit Health Technol. 2025;3:101166 | https://doi.org/10.37349/edht.2025.101166 Page 21 Publisher’s note Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. 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