Sterkenburgh Tomas Rudolf, Villalba-Diez Javier, Ordieres-Meré Joaquín
DEGIN Doctorate Program, Universidad Politécnica de Madrid, 28006 Madrid, Spain.
Independent Consultant in Veterinary Medicine, 46535 Dinslaken, Germany.
Animals (Basel). 2023 Nov 17;13(22):3557. doi: 10.3390/ani13223557.
There is a consensus that future medicine will benefit from a comprehensive analysis of harmonized, interconnected, and interoperable health data. These data can originate from a variety of sources. In particular, data from veterinary diagnostics and the monitoring of health-related life parameters using the Internet of Medical Things are considered here. To foster the usage of collected data in this way, not only do technical aspects need to be addressed but so do organizational ones, and to this end, a socio-technical matrix is first presented that complements the literature. It is used in an exemplary analysis of the system. Such a socio-technical matrix is an interesting tool for analyzing the process of data sharing between actors in the system dependent on their social relations. With the help of such a socio-technical tool and using equine veterinary medicine as an example, the social system of veterinarians and owners as actors is explored in terms of barriers and enablers of an effective digital representation of the global equine population.
人们普遍认为,未来医学将受益于对协调一致、相互关联且可互操作的健康数据进行全面分析。这些数据可源自多种来源。在此特别考虑来自兽医诊断以及使用医疗物联网对与健康相关的生活参数进行监测的数据。为了以这种方式促进所收集数据的使用,不仅需要解决技术方面的问题,组织方面的问题也需要解决,为此,首先提出一个社会技术矩阵,作为对现有文献的补充。它被用于该系统的示例分析。这样的社会技术矩阵是一种有趣的工具,可用于分析系统中参与者之间依赖其社会关系的数据共享过程。借助这样一种社会技术工具,并以马兽医医学为例,探讨了作为参与者的兽医和马主的社会系统在全球马种群有效数字表示方面的障碍和推动因素。