Aided by AI-powered sensors and devices, AI mobile or desktop apps use algorithms and machine learning to analyze data, predict health trends, automate tasks, and personalize care plans. The following examples found online indicate the range of what is available:
care.ai bills itself as a “smart care” platform in which AI-powered sensors and high-resolution cameras in the home feed into a desktop command center. The sensors grow smarter about a client’s routine, improving the data reported. The command center allows the agency to see which clients need specialized attention, while automatically determining the right mix of telemedicine and in-person visits.
Careswitch is a home care agency management system that utilizes an AI virtual assistant named “Looper.” Working with data that is either entered, dictated, or uploaded, Looper can perform a variety of tasks, including care plan generation based on assessments; translating care plans into another language; mapping available caregivers for a given client; scheduling caregivers; and analyzing financial data.
Sensi, a virtual care agent, places three audio monitors in a client’s home and uses audio analytics to “learn” their daily routines over an initial two-week period. With a comprehensive understanding of a care recipient’s physical, emotional, and cognitive needs, Sensi can then detect anomalies and alert the agency – for example, if a client spends 25 minutes in the shower instead of their usual 15, or if monitors pick up sounds of distress or difficulty, indicating risk of fall or injury.
Especially relevant to providers of person-centered care, some AI-powered software can continually analyze client data and past health trends to tailor care plans to ensure the most effective and relevant care, while also factoring in client needs, preferences, and lifestyle. Platforms such as care.ai can also perform predictive analysis of collected data to alert caregivers of any potential for adverse events, such as falls or infections, or if a client is not taking medications as scheduled.
One concern often cited about AI is that it replaces the human touch that is at the core of quality aging care. However, being able to adjust a person’s care in real time speaks to the very essence of person-centered care. By supporting risk reduction and earlier intervention, AI can also promote greater safety and help prevent unnecessary ER visits and hospitalizations. Think of AI as a complement to the excellent care your staff already provides, not a replacement.