with intelligent digitization
Member complaints, appeals and grievances (A&G), are one of the most challenging and sensitive business responsibilities that payers must manage. In a highly regulated healthcare industry, providing timely resolutions to members by complying with CMS guidelines and business SLAs can be complex and manual-intensive effort.
In most scenarios, noncompliance to regulations and making quick and accurate decisions in appeals & grievances processing within a prescribed timeline leads to substantial financial penalties. The challenge is to navigate unpredictable workloads and disintegrated data flows across the enterprise.
This is where the payers need to quickly deploy intelligent, automated appeals and grievances process management for real-time insights and monitoring. Payers that are looking to make a differentiated impact must take the right step towards boosting quality scores and successful CMS star rating with digitized A&G processing. It helps to:
The star rating impacts the customer’s decisions in a competitive marketplace and affects a member’s plan selection. Faster response times enabled by technology has a significant role to play in customer satisfaction. However, technological modernization is not applied uniformly across the enterprise. It leads to capability disparities, broken workflows, and data silos. Heterogeneous tech transformation, along with inefficient processing, leads to noncompliance.
The complexity for healthcare payers increases with multiple federal acts and rules, all of which directly impacts the A&G processing:
Business processes also need to provision for reviews by external entities. Payers need to track the event details and decisions at multiple levels. The A&G escalation matrix:
Built for agility, A&G solution powered with intelligent technologies enables healthcare organizations to quickly deploy and modify their appeals and grievances processes to address timeline, compliance, accuracy, and efficiency glitches.
Let us explore how to address the key challenges in your appeals and grievances processing and the pertinent solution for each paving the way for a futuristic integrated model:
The future belongs to the fast. As manual processes and unpredictable workloads slow down healthcare businesses, payers need to quickly deploy intelligent, automated process management for real-time insights and monitoring. An intelligent Appeals and Grievances (A&G) solution with simplified case management and automated task handling can accelerate case resolution, minimize penalties, and increase customer stickiness.
A prominent technology lever that can help reshape the A&G business process and enable significant saving and accuracy is artificial intelligence (AI), complemented by machine learning (ML) for adaptive models and deep learning for predictive models.
A significant portion of the A&G data is largely based on physical documents that increase manual effort in the A&G process. One of the key segments of AI, natural language processing (NLP), can help streamline the case intake process for A&G in healthcare. Thus, leveraging NLP can significantly uplift the business value and automation in the intake part of the A&G process and beyond by tracking the incoming emails, chats, or contact center inputs.
Robotics is another leading technology lever that payer organizations have started leveraging to bridge the legacy platform's interim gaps. In the A&G healthcare business, robotic automation acts as a temporary solution to bring data consistency.
The usage of mobile apps for easier communication on hand-held devices with appropriate augmentation of chatbots is a potential booster in the A&G process. For solving the A&G problems of a payer organization, healthbots have a high potential to make communication seamless between multiple parties.
With the emergence of new technologies, digital transformation is no more an option but a necessity for every payer in the healthcare domain. To stay nimble in the face of rapid technological advancements, payers must carefully evaluate their business intents and assess what automation technologies must be deployed for their specific A&G business challenges.
Therefore, a solution equipped to deliver intuitive and guided workflows can help users navigate through the complex case lifecycle of an appeal or a grievance. Data validation and embedding key cleansing rules as part of case workflows can provide clean data audits and compliance submission. Leading-edge AI model and predictive ML capabilities can help build a portfolio of lasting, happy members.
An Appeals and Grievances (A&G) solution engineered with simplified case management, automated task handling, and AI-based appropriate classifications can reduce costs, minimize penalties, and ensure adherence to regulatory compliance. It can assist in:
Payers need to quickly deploy intelligent, automated process management for real-time insights and monitoring and address the archaic, inflexible systems that hurt financially.
Vice President, DPA Practice Lead for Healthcare and Life Sciences
Alok leads the digital process automation (DPA) solution group for the healthcare and life sciences segment in Virtusa.
He is an accomplished enterprise architect professional with expertise in developing enterprise business solution comprising DPA, BPM, CRM, integration components, and data analytics (inclusive of predictive and adaptive models). He spearheads key DPA solution initiatives that are implemented in line with industry trends and go-to-market strategies.
Associate Director, Domain Leader for Healthcare and Life Sciences
Anirvan leads the market intelligence and competitor research group for the healthcare and life sciences segment in Virtusa. As a domain leader, he drives several key solution initiatives in the healthcare space in collaboration with technology groups that formulate go-to-market strategies for the segment.
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The digital transformation in healthcare continues to grow. We are now looking toward data-driven, digital health solutions to give providers the tools they need to achieve patient care goals.
Intelligent Digitization of Appeals & Grievances