Prospects for the development of digital innovations in public healthcare

Nikita N. Lisitskii, Tatyana G. Maximova

Abstract


Relevance. The transition to a platform-based model in the public sector depends on stakeholders developing interoperability skills and a flexible technological infrastructure. Yet, the adaptation of industry-specific technologies to such platform architectures remains an open research question.

Research objective. The study aims to define the current state of digital healthcare and provide an evidence-based rationale for its development prospects in an emerging healthcare platform.

Data and methods. Topic modeling was applied to a dataset of 60 digital innovations from 56 Russian regions, implemented between 2019 and 2024 as part of regional projects for a unified digital healthcare contour. Findings were further validated using factor analysis and clustering, incorporating official statistics and data on technical and regulatory aspects of innovation adoption across regions.

Results. Сollaborative business models involving all healthcare actors and remain low-priority in public health governance. Statistical analysis confirms the high importance of economic and regional aspects, while regulatory aspects that determine the order of administration and technical interaction between stakeholders also have a moderately positive impact.

Discussion. Digital innovations in public health were qualitatively and quantitatively assessed through the prism of the concept of responsible healthcare. Findings exposed a disparity: while digital innovations prioritized economic and healthcare outcomes, they consistently overlooked collaborative governance models. The results provide a foundation for future research on how innovation providers and public sector actors have adapted their business models to ensure transparency, accountability, and collaboration.


Keywords


digital innovations, responsible innovations, digital platform, regional healthcare, topic modeling, factor analysis

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References


Alami, H., Lehoux, P., Shaw, S. E., Niang, M., Malas, K., & Fortin, J. P. (2024). To what extent can digital health technologies comply with the principles of responsible innovation? Practice-and policy-oriented research insights regarding an organisational and systemic issue. International journal of health policy and management, 13, 8061.

Alami, H., Rivard, L., Lehoux, P., Ag Ahmed, M. A., Fortin, J. P., & Fleet, R. (2023). Integrating environmental considerations in digital health technology assessment and procurement: Stakeholders’ perspectives. Digital health, 9, 20552076231219113.

Alami, H., Rivard, L., Lehoux, P., Hoffman, S. J., Cadeddu, S. B. M., Savoldelli, M., & Fortin, J. P. (2020). Artificial intelligence in health care: laying the foundation for responsible, sustainable, and inclusive innovation in low-and middle-income countries. Globalization and Health, 16, 1-6.

Arentshorst, M. E., de Cock Buning, T., & Broerse, J. E. (2016). Exploring responsible innovation: Dutch public perceptions of the future of medical neuroimaging technology. Technology in Society, 45, 8-18.

Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3.

Blok, V., & Lemmens, P. (2015). The emerging concept of responsible innovation. Three reasons why it is questionable and calls for a radical transformation of the concept of innovation. In B. J. Koops, I. Oosterlaken, H. Romijn, T. Swierstra, J. van den Hoven (Eds.), Responsible Innovation 2 (pp. 19-35). Springer, Cham.

Chiu, C. C., Wu, C. M., Chien, T. N., Kao, L. J., Li, C., & Chu, C. M. (2023). Integrating structured and unstructured EHR data for predicting mortality by machine learning and latent Dirichlet allocation method. International journal of environmental research and public health, 20(5), 4340.

Dinsa, E. F., Das, M., & Abebe, T. U. (2024). A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information. Scientific Reports, 14(1), 32051.

Frishammar, J., Essén, A., Bergström, F., & Ekman, T. (2023). Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technological Forecasting and Social Change, 189, 122319.

Greenhalgh, T., Fahy, N., & Shaw, S. (2017). The Bright Elusive Butterfly of Value in Health Technology Development: Comment on "Providing Value to New Health Technology: The Early Contribution of Entrepreneurs, Investors, and Regulatory Agencies". International Journal of Health Policy and Management, 7(1), 81.

Haigh, N., & Hoffman, A. J. (2012). Hybrid organizations: The next chapter of sustainable business. Organizational dynamics, 41(2), 126-134.

Hartley, J. (2011). Public value through innovation and improvement. In J. Benington, M. Moore, (Eds), Public value: Theory and practice (pp. 171-184). Palgrave, London.

Hermes, S., Riasanow, T., Clemons, E. K., Böhm, M., & Krcmar, H. (2020). The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Business Research, 13(3), 1033-1069.

Jansma, S. R., Dijkstra, A. M., & de Jong, M. D. (2022). Co-creation in support of responsible research and innovation: an analysis of three stakeholder workshops on nanotechnology for health. Journal of responsible innovation, 9(1), 28-48.

Kim, K. K., & Backonja, U. (2025). Digital health equity frameworks and key concepts: a scoping review. Journal of the American Medical Informatics Association, ocaf017.

Kurochkina, A. A., & Golovkin, P. N. (2024). The resource potential of cloud infocommunication services in Russian regions: a comparative assessment. Ekonomika. Pravo. Innovacii, 3, 4-11.

Lehoux, P., Ganache, I., Demers-Payette, O., Silva, H. P., Plamondon, G., & de Guise, M. (2025). HTA responsiveness to today’s challenges to health systems: a responsible innovation in health perspective. International Journal of Technology Assessment in Health Care, 41(1), e16.

Lehoux, P., Roncarolo, F., Silva, H. P., Boivin, A., Denis, J. L., & Hébert, R. (2018). What health system challenges should responsible innovation in health address? Insights from an international scoping review. International journal of health policy and management, 8(2), 63.

Lehoux, P., Silva, H. P., Miller, F., Denis, J. L., & Pozelli, R. S. (2023). How can entrepreneurs experience inform responsible health innovation policies? A longitudinal case study in Canada and Brazil. The International Journal of Health Planning and Management, 38(4), 967-985.

MacNeil, M., Koch, M., Kuspinar, A., Juzwishin, D., Lehoux, P., & Stolee, P. (2019). Enabling health technology innovation in Canada: Barriers and facilitators in policy and regulatory processes. Health Policy, 123(2), 203-214.

Martín, M. S., Chen, F. W., & Urbistondo, P. A. (2025). Application of the LDA model to identify topics in telemedicine conversations on the X social network. BMC Health Services Research, 25(1), 1-9.

Miller, F. A., & Lehoux, P. (2020). The innovation impacts of public procurement offices: The case of healthcare procurement. Research Policy, 49(7), 104075.

Nielsen, P., & Sahay, S. (2022). A critical review of the role of technology and context in digital health research. Digital health, 8, 20552076221109554.

Ossai, C. I., & Wickramasinghe, N. (2023). Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. Artificial Intelligence in Medicine, 138, 102509.

Pacifico Silva, H., Lehoux, P., Miller, F. A., & Denis, J. L. (2018). Introducing responsible innovation in health: a policy-oriented framework. Health research policy and systems, 16, 1-13.

Röder, M., Both, A., & Hinneburg, A. (2015, February). Exploring the space of topic coherence measures. In Proceedings of the eighth ACM international conference on Web search and data mining (pp. 399-408).

Starkbaum, J., Braun, R., Blok, V., Schroth, F., Häußermann, J. J., Colonnello, C. & Gerhardus, A. (2024). Responsible innovation across societal sectors: a practice perspective on Quadruple Helix collaboration. Journal of Responsible Innovation, 11(1), 2414531.

Thapa, R. K., & Iakovleva, T. (2023). Responsible innovation in venture creation and firm development: the case of digital innovation in healthcare and welfare services. Journal of Responsible Innovation, 10(1), 2170624.

Van Oudheusden, M. (2014). Where are the politics in responsible innovation? European governance, technology assessments, and beyond. Journal of Responsible Innovation, 1(1), 67-86.

Verzilin, D. N., Gornyak, S. Yu., & Maximova, T. G. (2015). Monitoring of regional conditionality of individual indicators of a healthy lifestyle and public health. Sociologiya i pravo, 1 (27), 5-13.

Yi, S., Meng, J., Wenxiu, X., & Kam-Yiu, L. (2022) Public trust in artificial intelligence applications in mental health care: topic modeling analysis. JMIR Hum Factors. 9 (4), e38799.




DOI: https://doi.org/10.15826/recon.2025.11.4.021

Copyright (c) 2025 Nikita N. Lisitskii, Tatyana G. Maximova

Сertificate of registration media Эл № ФС77-80764 от 23.04.2021
Online ISSN 2412-0731