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VerifiedHospitals and Health Care· Founded 2019

Patienttalk Ai

PatientTalk uses dynamic technologies to assist practices by enabling humans to do what humans do best – provide clinical care and great customer experience. PatientTalk frees up staff time so staff can handle in-office interactions, from explaining procedures and benefits of health care, to services provided by the practice, to building relationships that lead to family and friend referrals. PatientTalk is customized to each practice and responds consistently to callers as per the parameters of the practice. It has been shown that phone interactions, insurance confirmation, billing questions, changes in schedules, and outgoing calls can consume more than 2 hours per day per front desk staff member. How can that time be used more efficiently? While some of that phone time and patient check-in time will still require human assistance, PatientTalk should free up 70-80% of that time. How can this added time be utilized to benefit the practice? • Revenue generation. Collection of over 30-day outstanding balances. Reviewing charts for uncompleted treatment and scheduling. Collection of outstanding insurance claims. Scheduling patients that canceled and did not reschedule. • Marketing – social media posts, asking for online reviews, etc. • Continuing education. • Interacting with in-office patients to increase acceptance rates of elective procedures, including an explanation of insurance benefits, as well as an explanation of the health benefits of procedures. • One lost potential patient can cost a practice thousands of dollars in revenue. • Malpractice and human error minimization. Calls will be archived and retrievable. Call notes can be placed directly into patient files. The information collected is accurate. Caller ID is verified. The platform is HIPAA compliant. • The kiosk check-in system alerts all staff of patient arrival. • Lowers stress to front desk staff allowing for increased job satisfaction and staff retention.

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Employees1(1 to 10)Founded year2019Websitepatienttalk.aiLinkedIn profileLinkedIn

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