Intelligent Operations that enrich Healthcare operations
The first impression a Member has of their health benefits partner is the enrollment experience. And behind that experience and creating a first moment of trust between employers and insurers there is a single objective – quick and complete health benefits access for their members. And yet, even in this digital age, the enrollment process fails to consider the member experience in its entirety.
The current member ‘quote to card’ journey presents an opportunity area rife with intelligent intervention possibilities.
The latest solution in Mphasis Healthcare Innovation portfolio, EnrollEnrich.io is an AI based Enrollment-as-a-Service that enriches member experiences through efficient and optimized processes.
Reimagined enrollment process that enables employers & payers to drive member experiences. Intelligent interventions to enrollment processes reduce the time taken to complete ‘quote-to-card’ member journey by >70%.
Access Single pane of glass
Unified user interface to visualize and remedy data errors, inaccuracies & inconsistencies
Experience near real-time data edits
Reduced manual efforts (up to ~50-70%) for data completeness
Catapult accuracy and validation
Applied inference algorithms, NLP and cognition to drive data accuracy
Defy enrollment error fallouts
Fix ~50 - 75% of fallouts without any intervention from broker, member or employer
An AI-enabled, cloud hosted solution for an efficient and optimized benefit enrollment process.
AI-based solution that generates clean, accurate and standard format enrollment records
Ingestion of EDI 834s or proprietary electronic files produce ready-to-utilize records
Ever-learning cognition ability to produce faster enrollment records
Transformation of enrollment records facilitates easy processing by any 3rd party enrollment system
Flexible, API-based solution for plug and play environments
Cloud hosted Operations Process-as-a-Service (OPaaS)
Operational scale allows for hundreds of enrollment records captured in real-time with minimal latency