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Impact of AI in Elder Care

Caregivers can reduce the risk of faulty data analysis, provide more efficient and effective treatment, raise their trustworthiness, and focus more on their patients' wants and concerns by automating their processes. 

Impact of AI in Elder Care

By

Healthcare Business Review | Thursday, July 29, 2021

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Caregivers can reduce the risk of faulty data analysis, provide more efficient and effective treatment, raise their trustworthiness, and focus more on their patients' wants and concerns by automating their processes.


FREMONT, CA: A human-centered and compassionate approach is necessary and mandatory in skilled nursing facilities (SNFs) and long-term care in general. Putting patients' needs, limits, and viewpoints first improves the quality of treatment we can deliver.


Given our aging population, we must take advantage of every opportunity to improve treatment efficiency and effectiveness. AI in senior care is a prime example, and its application will result in higher levels of trust among patients and their families, deeper relationships between care professionals and patients, and, ultimately, more compassionate and human care.


Minimized Data Fractures and Misinformation


AI can be used to combine patient data to create a more full and accurate view of an individual's health information, preventing data isolation and fragmentation. With all of this information, AI can do studies to determine patient risk levels, predict future outcomes, and, in certain situations, even prescribe therapies. Automated data analysis equips healthcare professionals with the data they need to fully tailor patient treatment in ways that would be nearly impossible without AI.


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