The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Digital transformation in healthcare – architectures of present and future information technologies
Open accessAbstract
Healthcare providers all over the world are faced with a single challenge: the need to improve patient outcomes while containing costs. Drivers include an increasing demand for chronic disease management for an aging population, technological advancements and empowered patients taking control of their health experience. The digital transformation in healthcare, through the creation of a rich health data foundation and integration of technologies like the Internet of Things (IoT), advanced analytics, Machine Learning (ML) and Artificial Intelligence (AI), is recognized as a key component to tackle these challenges. It can lead to improvements in diagnostics, prevention and patient therapy, ultimately empowering care givers to use an evidence-based approach to improve clinical decisions. Real-time interactions allow a physician to monitor a patient ‘live’, instead of interactions once every few weeks. Operational intelligence ensures efficient utilization of healthcare resources and services provided, thereby optimizing costs. However, procedure-based payments, legacy systems, disparate data sources with the limited adoption of data standards, technical debt, data security and privacy concerns impede the efficient usage of health information to maximize value creation for all healthcare stakeholders. This has led to a highly-regulated, constrained industry. Ultimately, the goal is to improve quality of life and saving people’s lives through the creation of the intelligent healthcare provider, fully enabled to deliver value-based healthcare and a seamless patient experience. Information technologies that enable this goal must be extensible, safe, reliable and affordable, and tailored to the digitalization maturity-level of the individual organization.
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Cites
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Conversational agents in healthcare: a systematic review
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STRATEGIC OUTSOURCING: LEVERAGING KNOWLEDGE CAPABILITIES
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Cited by
Digital transformation in healthcare: technology acceptance and its applications
Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043407 · Cited by 939
Artificial intelligence in healthcare: opportunities and risk for future
Sunarti, S., Fadzlul Rahman, F., Naufal, M., Risky, M., Febriyanto, K., & Masnina, R. (2021) · Gaceta Sanitaria · doi:10.1016/j.gaceta.2020.12.019 · Cited by 274
Kouroubali, A., & Katehakis, D. G. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103166 · Cited by 115
The evolving role of nursing informatics in the era of artificial intelligence
Nashwan, A. J., Cabrega, J. A., Othman, M. I., Khedr, M. A., Osman, Y. M., El‐Ashry, A. M., Naif, R., & Mousa, A. A. (2025) · International Nursing Review · doi:10.1111/inr.13084 · Cited by 93
Pedro, A. R., Dias, M. B., Laranjo, L., Cunha, A. S., & Cordeiro, J. V. (2023) · PLOS ONE · doi:10.1371/journal.pone.0290613 · Cited by 74
Metadata
- Authors
- Gopal, G., Suter-Crazzolara, C., Toldo, L., & Eberhardt, W.
- Venue
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Publisher
- Walter de Gruyter GmbH
- Published
- 2018-12-11
- Volume
- 57
- Issue
- 3
- Pages
- 328-335
- ISSN
- 1434-6621 (ISSN-L)
- 1437-4331
- OpenAlex
- W2904133818
- Cited by
- 369
- References
- 10
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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