
Taxonomies have been an invaluable tool in helping researchers structuring and categorizing terms and concepts of various fields. The same principles apply to the digital transformation in the healthcare industry, where a growing plethora of terms and concepts are not well-defined and cause confusion. A taxonomy can be used to organize and classify these terms and concepts, providing a coherent vision and establishing a knowledge base for research and implementation of digital health transformation. In this work, the authors conducted a literature review and proposed a taxonomy to organize and classify terms, concepts, technologies, and systems associated with the digitalization of healthcare services. The purpose was to establish a coherent set of concepts and clear definitions, creating a robust knowledge base and a well-defined conceptual framework for this rapidly evolving field.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
