Recruiting · Production
Houston Methodist speeds healthcare hiring with Mia conversational AI assistant
The problem
Healthcare hiring is challenging because professionals typically work twelve-hour shifts, making it hard for recruiters and candidates to engage with one another, and getting hiring right from first interaction to final hire is critical to the patient experience.
Workflow diagram · grounded in source
1
Candidate applies 24/7/365
trigger
“empower candidates to apply 24/7/365”
2
Mia screens candidates
ai_action
“Houston Methodist implemented Mia, a conversational AI assistant, to screen and schedule qualified candidates”
3
Mia schedules interviews
output
“88% of Interviews Scheduled the Same Day Applied”
Reported outcome
Mia achieved 88% of interviews scheduled the same day candidates applied and a 30% increase in hard-to-fill candidates, while empowering candidates to apply 24/7/365.
Reported metrics
Interviews scheduled same day applied88%
Increase in hard-to-fill candidates30%
Reported stack
Mia
Frequently asked questions
What did this team achieve with this AI workflow?
Mia achieved 88% of interviews scheduled the same day candidates applied and a 30% increase in hard-to-fill candidates, while empowering candidates to apply 24/7/365.
What tools did this team use?
Mia.
What results were reported?
Interviews scheduled same day applied: 88%; Increase in hard-to-fill candidates: 30% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate applies 24/7/365 → Mia screens candidates → Mia schedules interviews.