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The objective of this article is to study and model the dynamic nature of healthcare delivery, allowing us to identify where potential issues exist within the service system and to examine how Connected Health technological solutions may support service efficiencies. We explore the application of social network analysis (SNA) as a modelling technique which captures the dynamic nature of a healthcare service. We demonstrate how it can be used to map the \u2018Careflow Network\u2019 and guide Connected Health innovators to examine specific opportunities within the healthcare service. Our results indicate that healthcare technology must be correctly identified and implemented within the Careflow Network to enjoy improvements in service delivery. Oftentimes, prior to making the transformation to Connected Health, researchers use various modelling techniques that fail to identify where Connected Health innovation is best placed in a healthcare service network. Using SNA allows us to develop an understanding of the current operation of healthcare system within which they can effect change. It is important to identify and model the resource exchanges to ensure that the quality and safety of care are enhanced, efficiencies are increased and the overall healthcare service system is improved. We have shown that dynamic models allow us to study the exchange of resources. These are often intertwined within a socio-technical context in an informal manner and not accounted for in static models, yet capture a truer insight on the operations of a Careflow Network.<\/jats:p>","DOI":"10.1177\/1460458217702943","type":"journal-article","created":{"date-parts":[[2017,4,25]],"date-time":"2017-04-25T01:17:31Z","timestamp":1493083051000},"page":"106-125","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Mapping a Careflow Network to assess the connectedness of Connected Health"],"prefix":"10.1177","volume":"25","author":[{"given":"Noel","family":"Carroll","sequence":"first","affiliation":[{"name":"University of Limerick, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ita","family":"Richardson","sequence":"additional","affiliation":[{"name":"University of Limerick, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,4,24]]},"reference":[{"key":"bibr1-1460458217702943","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2014.52"},{"key":"bibr2-1460458217702943","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-10-24"},{"key":"bibr3-1460458217702943","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-bioeng-071812-152350"},{"key":"bibr4-1460458217702943","volume-title":"Proceedings of the international workshop on software engineering in healthcare systems, co-located with the International Conference on Software Engineering (ICSE)","author":"Carroll N"},{"key":"bibr5-1460458217702943","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(00)00100-7"},{"key":"bibr6-1460458217702943","doi-asserted-by":"crossref","unstructured":"Quaglini S, Stefanelli M, Cavallini, Guideline-based careflow systems. 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