Finding the best caregiver match for a family is not an easy process, as it involves multiple variables such as personality, experience, and availability. These surface categories alone may not be sufficient in determining the ideal caregiver for an individual’s unique needs. Thus, selecting the right match, can be challenging and require careful consideration. Technology has offered new tools for making this matching processed easier, including algorithms designed to “match” caregivers with clients, however, there is some debate over whether these algorithms are the best approach, or whether a more human touch is needed to make a successful match.
Reduce Risk of Bias and Streamlining
Using algorithms can help streamline the matching process and reduce the risk of bias by using data and analytics to evaluate potential caregiver. They streamline the process by helping to identify candidates who are most likely to be a good fit based on factors such as location, availability, and skills. This saves tons of time and reduces the need for manual screening and evaluation. They are also able to reduce the risk of bias in the matching process. Matchmakers may be subject to unconscious biases based on factors such as race, gender, or age, where as algorithms can be programmed to focus solely on relevant criteria.
The Placement Expert Advantage
Algorithms can help to identify potential candidates based on certain criteria, by they may not be as effective at evaluating more subjective factors, including personality or compatibility. These factors can be critical in determining whether a caregiver and client will work well together over the long term. The human-centric approach to matching caregivers can offer families more personalized attention and support throughout the matching process. Families can benefit from the expertise and guidance of a placement expert who understands the unique needs and preferences of each individual client and reduces the risk of issues such as turnover or dissatisfaction.
The Data Supporting Hybrid Models
According to a survey by Home Care Pulse, a leading provider of home care data and insights, 67% of home care providers use a combination of technology and personal interactions to match caregivers with clients. An approach such as this one offers the best of both worlds, using algorithms to streamline the process, while also offering personalized attention and support throughout the matching process.
Most of these hybrid models use algorithms to find caregivers, at Coveted Care, we use software to help match caregivers in terms of locations and availability, but we are adamant about using a personalized approach and our community to make the right matches.
Whether to use algorithms or people to match caregivers is a decision that families should make based on their individual needs and preferences. We find that the right combination of technology and personal interactions can offer the most effective and efficient approach to finding the right caregiver for a loved one, that lasts. Reach out to Coveted Care to learn more about our matching services.
