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Challenges of Implementing a Social Prescription Service in the Clinic: Social Prescribing in the LAMP Project

机译:在诊所实施社会处方服务的挑战:灯项目中的社会处方

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The Local Asset Mapping Project (LAMP) aims to develop new models of tertiary healthcare delivery by integrating patient care into a hospital's surrounding community. Current models are unsustainable, in particular due to the ageing demographic shift. To date, LAMP has created a database of almost 3,400 'assets' from part (22km~2) of the ambulance catchment of the largest acute hospital in Ireland - an area representing ~120,000 citizens. A clinical software GUI called 'Community Health Compass' is presented in this paper which uses this database and could potentially produce 'social prescriptions' to patients coming to the hospital. This prescription would direct them to the assets and services in their community, near their postal address, and tailored to their condition and preferences, which could help to improve their health and wellbeing. However, there are a number of social implications and challenges associated with technology-mediated social prescribing, which will need to be considered to ensure the success and uptake of the intervention, while preserving personal choice and ensuring social responsibility. Data sharing, governance, accountability for patients, and community sector capacity are some of the main challenges for implementation of the LAMP model. These challenges and potential approaches to meeting them are presented. Forecasting these challenges is an attempt to proactively explore the issues, so as to develop a future technology-mediated social prescription delivery model that integrates with, and provides for, society's needs while reducing potential negative affects.
机译:本地资产映射项目(灯具)旨在通过将患者护理整合到医院的周围社区来开发新的高等教育保健交付模式。目前的模型是不可持续的,特别是由于老化的人口流移。迄今为止,灯座从爱尔兰最大的急性医院的救护车集水区(22km〜2)创建了近3,400'资产的数据库 - 代表〜120,000名公民的地区。本文介绍了一个名为“社区健康罗盘”的临床软件GUI,它使用此数据库,可能会对即将到达医院的患者产生“社会处方”。该处方将向他们的社区中的资产和服务引导,靠近其邮政地址,并针对他们的状况和偏好量身定制,这有助于提高他们的健康和幸福。然而,与技术介导的社会规定有许多社会影响和挑战,需要考虑确保干预的成功和吸收,同时保留个人选择并确保社会责任。数据共享,治理,患者问责制和社区部门的能力是实施灯泡模型的一些主要挑战。提出了这些挑战和潜在的遇到它们的方法。预测这些挑战是一种积极探索这些问题的企图,开发未来的技术介导的社会处方交付模式,融合在一起,并提供社会的需求,同时降低潜在的负面影响。

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