Data about care is becoming the backbone of home care best practice. In the past (and in some current settings) the home care worker has kept a book in the home for record keeping, bringing it in periodically to get paid. Today, organizations can use captured information about the home care situation, combining it with information aggregated from other clients or individual care recipient history. Data and the governance procedures to maintain its quality and security will, like other uses of AI, become the foundation for realizing its benefits in home care.
Wellness calls conducted in between visits can be mined for predictive analytics. Collecting voice s…
Data about care is becoming the backbone of home care best practice. In the past (and in some current settings) the home care worker has kept a book in the home for record keeping, bringing it in periodically to get paid. Today, organizations can use captured information about the home care situation, combining it with information aggregated from other clients or individual care recipient history. Data and the governance procedures to maintain its quality and security will, like other uses of AI, become the foundation for realizing its benefits in home care.
Wellness calls conducted in between visits can be mined for predictive analytics. Collecting voice s…
Data about care is becoming the backbone of home care best practice. In the past (and in some current settings) the home care worker has kept a book in the home for record keeping, bringing it in periodically to get paid. Today, organizations can use captured information about the home care situation, combining it with information aggregated from other clients or individual care recipient history. Data and the governance procedures to maintain its quality and security will, like other uses of AI, become the foundation for realizing its benefits in home care.