Site icon Datafloq News

Optimizing Health Insurance Claims Processing Through Data Analytics

Traditionally, the claims processing center is an insurance payers largest administrative expense. Often, its also the most procedurally and technologically encumbered functional area. With economic and regulatory pressures escalating, insurers need solutions that drive the time and cost out of claims processing. Leading insurance payers know they cannot wait for years-long IT projects to deliver the dramatic quality and cost-cutting results they need today.

Undeniably, great strides have been made toward claims auto-adjudication, yet many insurance payers are still processing up to 50 percent of their claims manually. The perennial challenge is to improve operational efficiency when faced with disparate core applications and data repositories, aging adjudication systems, updated contracts, changing government regulations, plan mergers and other factors that result in convoluted procedures and manual steps.

Pended claims are a painful reality leaving insurance payers with the ongoing struggle of growing claims backlogs, dissatisfied providers and potential regulatory non-compliance. For many insurance payers, the only option for mitigation is to rely on manual processes which are both inefficient and costly.

Background

A US-based non-profit health insurance corporation insures more than 2 million people in four states. The entity processes a Daily volume of around 85,000 Pended claims, 29,000 Fully Insured Pended claims, around 1,900 claims Aged Inventory greater than 30 days.

They faced lot of hurdles in their claims processing centre due to scattered data and lack of centralized system. Prompt payment on insurance claims is required by regulatory authority with penalties if delay exceeds a threshold. Manual claims processing workflow can be complex, with multiple departments/agents involved. Existing systems could supply the data required to track claims, but the data was difficult to interpret and take any actions.

They wanted a system that could act as an easy means of acting to expedite processing of a claim. They wanted to optimize the Pended claims Workflow Process to reduce the number of claims that age past the limit at which a Prompt Payment Penalty is assessed. To achieve this goal, better visibility into the ongoing progress on Aged Inventory of claims was the need of the hour.

Solution

They developed integrated dashboards & views for executive and process owners to track the ongoing status for Aged Inventory of claims with automated heat maps. This was done using SharePoint & Tableau views for the executive and process owners dashboards, and a SQL Server data store to track and manage the daily loads of Pended claims.

The new solution enabled the insurance company to present data with an executive view of interactive charts and KPIs in clearly-structured and interactive form and also provided a drill-down capability to allow senior staff to locate claims that require attention to avoid penalty. Once claims are identified for action, the solution helped create a workflow for immediate action (e.g., send an email to an agent with claim details and requested next step).

Value Delivered

The value delivered was to help the Health Insurance company obtain a simple yet functionally superior solution to automate the claims processing workflow to deliver benefits such as:

Exit mobile version