video1.0<iframe src="https://www.loom.com/embed/968a774590844ec595e0cfc87025d0bf" frameborder="0" width="1490" height="1117" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>11171490Loomhttps://www.loom.com11171490https://cdn.loom.com/sessions/thumbnails/968a774590844ec595e0cfc87025d0bf-41d93b629e4abc56.gif502.145In this video, I explain how CareQB utilizes both hard filters and a qualitative matching system to effectively pair clients with caregivers. We analyze raw text information from intake forms and care plans, as well as caregiver profiles, to identify potential mismatches. I demonstrate how to view qualitative matches and the importance of driving time considerations in the matching process. I encourage you to edit the AI-generated assessments as needed to ensure they reflect your preferences and insights. Please take a moment to familiarize yourself with these features to enhance our matching accuracy.