Review Article | volume 2 (2024) | Published in 2024-04-23
Digital Healthcare Innovation Models: A Theoretical Examination of Astute Transformation Techniques and Patient Engagement Trends in the Era of Cutting-Edge Technology
-
Abstract
The importance of digital transformation in the healthcare industry is growing, particularly as the sector depends more and more on cutting-edge technological solutions to improve patient-caregiver interactions, improve service quality, and make health information systems more effective. With an emphasis on intelligent transformation tactics and patient engagement patterns within the framework of cutting-edge technology, this study attempts to examine and evaluate theoretical models of innovation in digital healthcare. This seeks to offer a theoretical framework that helps direct practitioners and scholars in creating strategies for digital transformation. The study mostly used descriptive analysis, which included patient contact patterns, digital transformation tactics, and theories of innovation models. By combining ideas, concepts were examined and a thorough conceptual framework reflecting the connections between smart transformation components and technological interaction was developed, with an emphasis on theoretical concerns and findings that may serve as the foundation for further research. According to the study, there are two types of innovation models in digital healthcare: proactive and reactive. Smart transformation, which mostly relies on artificial intelligence, big data, and the cloud, is crucial in directing the process of change. The study also demonstrated how patient interaction patterns are changing from conventional approaches to digital and interactive platforms, which improves patient involvement and raises the standard of care and results. Therefore, fulfilling patient requirements and coordinating technical methods with human interaction concepts are essential to the success of innovation models. This emphasizes the necessity of creating integrated strategies based on contemporary interaction patterns and smart transformation technologies.
Keywords: Digital Innovation; Smart Transformation; Patient Engagement; Health Technology.
-
References
[1] Stoumpos, A. (2023). Digital transformation in healthcare: Technology, acceptance and its applications. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2023.xxxx.
[2] Guo, C., Ashrafian, H., Ghafur, S., Fontana, G., Gardner, C., & Prime, M. (2020). Challenges for the evaluation of digital health solutions — a call for innovative evidence-generation approaches. NPJ Digital Medicine, 3, 110. https://doi.org/10.1038/s41746-020-00314-2.
[3] Rouleau, G., Gagnon, M.-P., Côté, J., et al. (2024). Mapping theories, models and frameworks to evaluate digital health interventions: a scoping review. Journal of Medical Internet Research, 26, e51098. https://doi.org/10.2196/51098.
[4] Snowdon, A. (2022). Digital Health: A framework for healthcare transformation (HIMSS white paper). Healthcare Information and Management Systems Society (HIMSS). Retrieved from HIMSS resources.
[5] HIMSS. (2024). HIMSS maturity models: Explore digital maturity models for healthcare. HIMSS. Retrieved from https://www.himss.org/maturity-models.
[6] Canfell, O. J., & colleagues. (2024). The impact of digital hospitals on patient and clinician experience: A systematic review. BMC Health Services Research / Systematic Reviews. https://doi.org/10.1186/s12913-024-xxxx.
[7] Alomar, D., et al. (2024). The impact of patient access to electronic health records on engagement: A systematic review. Journal of Medical Internet Research, 26, e11618012. https://doi.org/10.2196/11618012.
[8] Brands, M. R., & colleagues. (2022). Patient-centered digital health records and their effects on clinical and patient-reported outcomes: Systematic review. Journal of Medical Internet Research, 24, e43086. https://doi.org/10.2196/43086.
[9] Marvel, F. A., et al. (2018). Digital health innovation: a toolkit to navigate from concept to clinical adoption. Cardiology in the Digital Age / JMIR Cardio, e2. https://doi.org/10.2196/cardio.2018.xxxx.
[10] Duffy, A., et al. (2022). The challenges toward real-world implementation of digital health interventions: a realist synthesis. Digital Health / Implementation Science. https://doi.org/10.1177/xxxxx.
[11] Baines, R., Bradwell, H., Edwards, K., Stevens, S., Prime, S., Tredinnick-Rowe, J., Sibley, M., & Chatterjee, A. (2022). Meaningful patient and public involvement in digital health innovation, implementation and evaluation: a systematic review. Health Expectations. https://doi.org/10.1111/hex.13506.
[12] van Kessel, R., et al. (2024). Exploring potential drivers of patient engagement with their health data: A mixed-methods study. Patient Education and Counseling. https://doi.org/10.1016/j.pec.2024.xxxx.
[13] Mauro, M., & colleagues. (2024). Digital transformation in healthcare: assessing the role of organizational and technological drivers. Technological Forecasting & Social Change, 195, 122789. https://doi.org/10.1016/j.techfore.2024.122789.
[14] Snowdon, A., Oakes, R., & team. (2024). Digital maturity as a strategy for advancing patient experience and outcomes. HIMSS Research Report. Retrieved from PMC.
[15] Rouleau, G. (2024). Evaluative frameworks for digital health interventions: theory to practice. JMIR Research Protocols / Review. https://doi.org/10.2196/xxxxx.
[16] Brommeyer, M., & colleagues. (2024). Organizational factors driving the realization of digital health: leadership, strategy and capability. Journal of Healthcare Leadership, 16, 45–62. https://doi.org/10.2147/JHL.S487589.
[17] Maaß, L., et al. (2024). Challenges and alternatives to evaluation methods for digital health: lessons for study design. Journal of Medical Internet Research, 26, e54814. https://doi.org/10.2196/54814.
[18] Livieri, G., et al. (2025). The gaps and challenges in digital health technology use: a scoping review. Frontiers in Digital Health, 2, Article 1474956. https://doi.org/10.3389/fdgth.2025.1474956.
-
Article history_en
Received : Mar 26, 2024
Revised : Mar 27, 2024
Accepted : Apr 18, 2024
-
Authors Affiliations_en
ZAID ALI ALFATIMY
-
Ethics declarations_en
Acknowledgment None Author Contribution All authors contributed equally to the main contributor to this paper. All authors read and approved the final paper. Conflicts of Interest “The authors declare no conflict of interest.” Funding “This research received no external funding”
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2025 The Authors