This reliance on human decision making led to huge inefficiencies in the operations of the agencies with agency staff spending a lot of time on the phone.
A lack of expose to the full pool of available caregivers would also fuel natural human behaviors leading to agency workers and caregivers forming relationships and alliances. A bias that would impact maximizing the caregiver pool within these agencies.
Traditionally caregiver matching was simply done based on availability. For our solution, we wanted to take it many steps further. Proximity to shift locations at the shift time meant that caregivers could string together multiple shifts and minimize travel between them. With consistency often being an issue, any history a client has with a caregiver would also increase matching probability.
Beyond attribute matching, we also leveraged caregiver behaviors to increase probability of shift acceptance. Time trends for accepting shifts, preferred locations, and types of client would all factor in to an automated matching and invite system. This would ensure more volume of shifts fulfilled and focus agency staffs energy on problem shifts and restaffing cancellations.
Newly approved shifts from insurance providers are ingested into the agency system
Algorithms find the best matches to shifts and automated invitations are sent in timed waves
Incoming request can automatically assign the shift, or can be manually accepted after review
Over the course of our engagement developing the CareConnect platform, it has evolved from shift matching to also include comprehensive caregiver compliance management, caregiver remote training, and even the ability to tap into pay day early with advance payments. The results speak to a happier workforce, and better business for the staffing agencies.
We don’t mean to be aggressive. We’re just enthusiastic about solving problems. Challenges fuel us.
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