Claims Processing and Batching Officers

The Batching Officer performs basic clerical tasks, such as arranging standard process claims, invoices and other indexed documents according to an established system of the processing department. He / She operates office equipment and completes general office work; sorts and distributes documents according to insurance policy.

Job Description:

• Responsible for reception of healthcare providers and payers invoices
• Responsible for sorting invoices depending on due date, FOB, Payer, Provider…
• Ensure that Jumbo Claims are urgently handed over to Medical Auditors.
• Ensure that NSSF claims are urgently handed over to NSSF unit.
• Consistently check and track claims received from providers which includes the following responsibilities:
• Ensure that standard format for submission is followed such as General statement of account and detailed statement of account.
• Set department reception on the bordereau as per agreed procedure
• Ensure immediate efficient distribution of invoices to medical auditors and processing officers.
• Ensure feedback within set specified time for any corrections, missing information’s and any standard format not being followed
• Inform the Claims Processing Department Team Leader/Manager wherever there is missing information on the claim and standard format of submission are not followed repetitively.
• Return incomplete claims to provider as and when needed
• Follow and apply the internal procedures of the Department
• Responsible and accountable for the confidential, proper administration of insured member data as well as system, policy and medical information
• Any other duties as requested by the Direct Manager

Job Requirements:

• Baccalaureate Degree or equivalent

• Ability to respect deadlines

• Demonstrable commitment to producing output base results

• Excellent team player

• Excellent communication and organizing skills

• Basic knowledge of MS Office applications

• Willing to work overtime when requested

• **AI READINESS ** Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.

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