Healthcare staffing company Teem has integrated AI tools directly into its remote workforce operations, the company announced June 30, making it the first company in healthcare to combine human-led remote support with practice-approved AI. The move comes as practices nationwide face mounting administrative costs and flat reimbursements, forcing them to run leaner without sacrificing patient experience.
Measurable savings and growth
Las Vegas Eye Docs, a 15-location optometry group, reports $400,000 in annual savings, a 40-50% labor cost reduction across supported functions, and over 120 hours per week reclaimed by teams, while patient wait times were cut in half. Focal Optometry, a single-location practice in San Diego, saw total revenue climb 37.8% and new patient volume growth jump from 2% to 15.3% year over year, with a clinical scribe alone saving an estimated 15-20 hours per week.
Human judgment, amplified by AI
With practice approval, remote front desk specialists, clinical scribes, insurance coordinators, and scheduling staff now have access to AI tools that support phone handling, insurance verification, appointment scheduling, patient recalls, and clinical documentation. The tools analyze real practice data and deliver feedback based on established best practices, helping remote team members work faster and more consistently without displacing the human judgment that drives patient outcomes.
"The best AI in the world still can't calm a nervous patient, read a difficult situation, or make a judgment call when it matters most, that takes a person," said Cory Pinegar, Founder of Teem. "What AI does is pull from the best practices in the industry and coach our people in real time, so they get sharper every single day. That's not the future of healthcare, that's what we're building right now."
Filling the gap between software and staffing
Until now, healthcare practices had to choose between pure AI automation and traditional staffing companies. Neither option delivered the blend of empathy and consistency that healthcare demands. Teem operates in that gap, pairing human remote workers with an AI layer that sharpens their performance daily. Studies consistently show that AI for Healthcare delivers its greatest gains when paired with capable, skilled people, not as a replacement for them. The quality of the person on the other end of the AI determines the quality of the outcome.
Teem invests in people first. Teem University provides role-specific training and ongoing development once team members are placed, and Performance Tracker gives practices real-time visibility into how remote workers perform against defined metrics. The AI layer draws on real practice data and healthcare-specific best practices to help each team member improve every day.
Admin overload meets a scalable answer
Administrative workloads have grown faster than most practices can hire for locally. Overhead costs consume a rising share of revenue while reimbursements stay largely flat. Teem's remote team members absorb the phone queues, verification backlogs, and documentation tasks that pull in-office staff away from patients. AI makes those remote workers sharper, so practices can keep their focus on care without burning out their local teams.
About Teem
Teem builds remote teams for healthcare practices, placing remote workers into front desk, clinical, and administrative roles. The company supports their development through Teem University and Performance Tracker. Headquartered in Salt Lake City, Utah, Teem operates nationwide. Learn more at www.hireteem.com.
Why this matters for healthcare
For practice managers, the takeaway is straightforward: AI tools work best when a skilled person is directing them. Teem's model offloads administrative burdens to remote professionals who use AI to stay sharp on insurance verification, scheduling, and documentation. That lets local staff focus on patients instead of paperwork. In an environment where every dollar of overhead counts, pairing remote talent with AI isn't a novelty-it's a practical path to lower labor costs and higher patient throughput.
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