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The dataset includes 430 collected answers from self-reported online distributed questionnaires regarding healthcare professionals views on e-prescription systems in Greece. The survey was conducted in the context of the PrescIT project (https://www.prescit.com/), aiming to elicit end-user requirements for the developed PrescIT e-prescription and clinical decision support platform. The dataset is currently available in the Greek language. Results from the analysis of the dataset have been presented in the following publication: - Grammatikopoulou, M., Lazarou, I., Giannios, G., Kakalou, C.A., Zachariadou, M., Zande, M., Karanikas, H., Thireos, E., Stavropoulos, T.G., Natsiavas, P., Nikolopoulos, S., Kompatsiaris, I., Electronic prescription systems in Greece: a large-scale survey of healthcare professionals’ perceptions. Arch Public Health 82, 68 (2024). https://doi.org/10.1186/s13690-024-01304-6
electronic prescription, healthcare professionals, system evaluation
electronic prescription, healthcare professionals, system evaluation
| 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). | 0 | |
| 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. | Average | |
| 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 |
| views | 21 | |
| downloads | 2 |

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