2,044 building-physics-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University
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credit and collection policies. Implement appropriate collection actions and assist financially responsible persons in arranging payment. Make a referral for financial counseling. Determine the necessity
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preparation process, patient identification, patient check-in/out, charge posting, cash management and patient appointment scheduling. Position also involves customer service, message distribution, ancillary
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conferencing and collaboration technologies such as Zoom. Strong customer service, communication, and relationship-building skills. Strong organizational skills and the ability to manage multiple projects
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ventures—and applicable regulatory guardrails (Stark, Anti-Kickback, FMV). Proven ability to build trusted relationships with, and influence, physicians and APPs. Political savvy and effectiveness in
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clinic tasks such as registration, scheduling, charge posting, and order entry. Able to document and communicate information clearly while building effective relationships with patients and staff. Typing
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develops chiefs, team leads, and frontline staff. Recruits, retains, and builds a high-performing workforce across all sites. Promotes a culture of accountability, collaboration, and continuous improvement
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allows you to grow and strengthen your skills, build confidence, and learn about many different disease processes. Extraordinary unit culture that embraces each team member – a sense of belonging. Affords
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and living Duke’s values and demonstrating expected behaviors while contributing to creating positive patient experience and building a positive work environment. The Hospital Service Access Team lead
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collect cash payments appropriately for all patients. Reconcile daily necessity of third party sponsorship and process patients in accordance reimbursement. Obtain all Prior Authorization Certification and
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experiments. Utilize laboratory techniques that support hypothesis-driven neuroscience research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python