| Literature DB >> 30741169 |
Jagpaul Bola1, Rebecca Charow1, Jennifer Hope1, Vasiliki Bakas2, Lembi Bishop1, Selina Brudnicki1, Laura Williams2, David Wiljer1.
Abstract
Patient portals are becoming increasingly available at medical institutions, worldwide. Reporting of patient portal adoption strategies is scarce. A multi-institutional health network in Toronto, Canada is seeing great success with its portal adoption by patients, with an annual adoption rate of almost 65%. In the literature, annually adoption rates in Canada range between 5% and 10%. This significant difference and high adoption is attributed to a multifactorial approach that includes a dedicated operations team to engage with patients and staff, a co-design approach for portal development and more recently, new data-driven strategies to affirm and recommend promotion approaches. Advanced data mining and analytics are promising tools to help improve the adoption rate. This paper will describe five analytics tools used to describe and potentially improve patient portal adoption rates.Entities:
Keywords: Patient portal; adoption; big data; consumer informatics; data analytics; data mining; personal health records
Mesh:
Year: 2019 PMID: 30741169
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630