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Electronic consultation has demonstrated an ability to improve access to specialist care for vulnerable groups and offers a potential solution to this gap in care. To support electronic consultation's uptake among long-term care homes, we created the electronic consultation long-term care utilization and savings estimator, an Excel-based tool that estimates the number of off-site appointments that patients in a long-term care home could avoid through electronic consultation, along with the consequent time and cost savings. In this brief report, we discuss the electronic consultation long-term care utilization and savings estimator's creation and function, and provide a case study using long-term care data to demonstrate its potential impact. We anticipate the electronic consultation long-term care utilization and savings estimator will be a highly impactful tool and intend to test it in real-world conditions following the relaxation of COVID-19 restrictions.<\/jats:p>","DOI":"10.1177\/1357633x221074500","type":"journal-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T13:03:52Z","timestamp":1643029432000},"page":"597-603","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Development of the electronic consultation long-term care utilization and savings estimator tool to model the potential impact of electronic consultation for residents living in long-term care"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2417-1632","authenticated-orcid":false,"given":"Emiliyan","family":"Staykov","sequence":"first","affiliation":[{"name":"Department of Biology, University of Ottawa, Canada"},{"name":"Michael G. 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