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Barriers which might be impeding the usage of know-how in residence well being embody accessibility or patient-specific considerations, funding, and lack of evidence-based practices, mentioned Melissa O’Connor, PhD, MBA, RN, FGSA, FAAN, endowed professor in group and residential well being nursing, M. Louise Fitzpatrick School of Nursing, Villanova University, and director, Gerontology Interest Group.
Transcript
What are the obstacles to utilizing know-how to enhance at-home care, resembling predictive analytics to scale back hospital readmissions?
So, one factor I wish to level out is that not all older adults have entry to broadband and web, particularly in rural communities. So, that is definitely an enormous barrier. Another apparent barrier is that some older adults should not have or are not looking for know-how—however we’re seeing that much less and fewer. In my follow and my analysis, I’m seeing an increasing number of older adults utilizing and embracing know-how.
So, we as clinicians, must cease assuming that older adults do not wish to use know-how, as a result of it is simply not true. So, I see that as a barrier. Some older adults definitely don’t wish to use know-how, however that’s not the bulk.
Another barrier is one thing I referred to earlier, and that’s funding to not simply develop the know-how, however to additionally develop and use machine studying or predictive analytics, as you requested, to develop AI [artificial intelligence] to learn to greatest look after older adults of their residence.
And remember, the house well being profit within the United States was established in 1967, which within the grand scheme of issues, in contrast with acute care, is actually not that way back. So, we do not have a ton of evidence-based practices in residence well being but. We have so, a lot, a lot that we nonetheless must study in order that we are able to have the perfect outcomes potential for older adults dwelling of their residence. And we have to study and proceed to make use of machine studying, AI, predictive analytics—all of these items will assist us get there a lot quicker, however we want the funding to conduct rigorous and high quality analysis.
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