Sensentia's enhanced capabilities improve coordination of benefits for the nation’s 11 million individuals dually-eligible for Medicare and Medicaid – often the highest-need populations in either program. Sensentia supports Dual Eligible Special Needs Plans (D-SNPs) and their members by helping them resolve operational challenges for navigating disjointed benefit systems. This elevates standards of coordinated care and reduces costs and fragmentation within the care system. Our AI-powered benefits comparison solution displays side-by-side benefits for the plan’s Customer Service Representatives (CSRs). With this benefits comparison solution, plans can resolve member calls more quickly and accurately, improve their readiness and capacity, and better coordinate and integrate Medicare and Medicaid benefits.

With information spread across potentially thousands of health plans, health insurance companies need to quickly provide their members or providers with accurate health benefits information to avoid coverage confusion and more costly care. Sensentia’s proprietary artificial intelligence technology helps healthcare companies deliver an accurate, transparent, and simple customer experience by translating healthcare plan complexity into clear and meaningful information instantly and with near perfect accuracy. Sensentia technology powers customer service call centers, members and providers across an omni-channel experience. You control the source of truth, and our healthcare AI software returns rich, detailed, comparative responses with near-perfect accuracy. Benefits-related questions are asked and answered through natural language search, forms, or automated dialogue, transforming your structured and unstructured data into actionable intelligence for internal and external stakeholders. Our best-in-class AI technology – deployed via a simple, user-friendly interface or within your own UI – uses natural language search to turn complex data into meaningful information for diverse user groups.

Current State: Typically, today, risk assessments are resource intensive in terms of people and time. Across health delivery organizations (HDOs) there are numerous approaches and in virtually every instance people are addressing the problem with: • Excel spreadsheets, manually created risk & control profiles not well-suited for medical devices • Manual analysis of a manufacturers disclosure statement for medical device security (MDS2) • Manual analysis of controls, vulnerabilities, devices to provide a one-off risk approach, subjective results • Many stakeholders, lack of continuity across facilities & platforms for uniform configuration & deployment • Lack of expertise and knowledge of the application of risk management to connected medical devices Anecdotally, customers state risk assessments take 20-80 hours, per device, start>finish with inconsistent outcomes. How ASIMILY ProSecure solves the problem: ASIMILY ProSecure, permits clients to tackle medical device risk assessments with a new paradigm…a paradigm of risk modeling and platform configuration that can be standardized and implemented consistently across an organization. Each device platform can be implemented with a documented risk assessment with control and configuration plan (CCP) that ensures a standard risk profile. ASIMILY ProSecure combines all the knowledge of every platform across our installed base to create an anonymized, community sourced data set of the best configuration and control plan. Every ASIMILY customers is gaining the insights and advantages of ASIMILY’s artificial intelligence (AI) and machine learning (ML) backend. ASIMILY ProSecure fills the missing gap, completing the risk assessment puzzle. ASIMILY ProSecure clients can create and evaluate risk, optimal configurations, and best security controls as part of contractual requirements and implementation criteria. Clear, documented requirements to ensure consistency across medical devices as a fleet, or platform, instead of every installation being a one-off and different. ASIMILY ProSecure addresses four primary use cases for risk assessment and CCP development: 1) Legacy devices that need a standard configuration and control plan 2) Shadow IT, unconnected devices with network interface cards, may connect 3) New devices being considered and needing a risk assessment and CCP 4) Ad hoc development of CCPs based on local needs, assets, and policies