Medfar
EMR Support Specialist
Great Neck, New York, United States
Sponsorship not specifiedDetected 5 days ago
Customer SupportEHR/EMRCollaboration
About the role
- As a member of our organization you will be joining a smart and driven team that shares your passion for exploration and discovery in the Healthcare Software vertical.
Responsibilities
- Provide front line support for EMR software, assisting users with set up, troubleshooting, and resolving system related issues.
- Our significant investment in people, processes, and technology equips our employees with the resources and opportunities to drive substantial value for all our client partners.
- Collaborates with various departments in order to fulfill client needs and requirements
Requirements
- A valid driver's license is required.
- You are able to work under pressure and handle high stress situations such as system outages and cyber attacks.
- You are able to follow instructions and execute.
- You have the knowledge to provide workflow modifications in order to improve office efficiency and revenue for providers.
- You have the knowledge of setting up eprescribing of medications and controlled substances.
Benefits
- Identify and implement improvements within the EMR system to enhance usability and workflow efficiency for healthcare providers.
- Implement e-prescribing functionalities for medical staff to streamline prescription process.
- We are a reputable software company specializing in the healthcare industry.
- Since 1988 we have been servicing the healthcare industry by providing various products to laboratories, hospitals and doctors.
- EMR Support Specialist's job is to provide technical support, troubleshooting, and guidance for our healthcare clients using EMR software.
- This role involves working directly with clients to resolve software issues, optimize software performance, and ensure compliance with healthcare regulations and software terms and conditions of use.
This listing is sourced directly from Medfar's careers page and normalized into a canonical job model.