Microsoft – Die Rolle von Big Tech im Bereich des Health Data Managements
Author:
Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-43236-2_69
Reference10 articles.
1. Bender, D., & Sartipi, K. (2013). HL7 FHIR: An Agile and RESTful approach to healthcare information exchange. Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 326–331. https://doi.org/10.1109/CBMS.2013.6627810
2. Gao, F., & Sunyaev, A. (2019). Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare. International Journal of Information Management, 48, 120–138. https://doi.org/10.1016/j.ijinfomgt.2019.02.002
3. Jacobides, M. G., Brusoni, S., & Candelon, F. (2021). The evolutionary dynamics of the artificial intelligence ecosystem. Strategy Science, 6(4), 412–435. https://doi.org/10.1287/stsc.2021.0148
4. Mandl, K. D., & Kohane, I. S. (2015). Federalist principles for healthcare data networks. Nature Biotechnology, 33(4), 360–363. https://doi.org/10.1038/nbt.3180
5. McPadden, J., Durant, T. J., Bunch, D. R., Coppi, A., Price, N., Rodgerson, K., Torre, C. J., Byron, W., Hsiao, A. L., Krumholz, H. M., & Schulz, W. L. (2019). Health care and precision medicine research: Analysis of a scalable data science platform. Journal of Medical Internet Research, 21(4), e13043. https://doi.org/10.2196/13043
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