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    Agentic AI for Patient Support Services & Prior Authorization Automation

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    Sold by: Incedo Inc 
    AI-powered patient support services and therapy access platform for life sciences organizations. Built on AWS, Incedo automates benefits verification, prior authorization, patient intake, specialty pharmacy workflows, and patient follow-up using agentic AI, intelligent workflow orchestration, and document automation.

    Overview

    Transform Patient Support Services with Agentic AI and Intelligent Therapy Access Automation

    Incedo Agentic AI for Patient Support Services is an AI-native patient access and therapy operations platform designed for life sciences organizations to automate patient support workflows, accelerate therapy access, and improve patient engagement across the care journey. Built on AWS, the platform combines agentic AI, intelligent workflow orchestration, document automation, and healthcare operations intelligence to modernize patient support programs at scale.

    From patient intake and benefits verification to prior authorization tracking, specialty pharmacy coordination, and patient follow-up, the platform helps organizations streamline complex support operations while improving speed, consistency, and operational efficiency.

    Why Traditional Patient Support Models Struggle to Scale

    Many patient support programs still rely on fragmented systems, manual case management, disconnected workflows, emails, portals, call centers, and document-heavy operations. Support teams spend significant time rekeying data, validating insurance benefits, tracking prior authorizations, coordinating with pharmacies and providers, and managing follow-ups across multiple stakeholders.

    As patient volumes and therapy complexity increase, these disconnected operating models create:

    Delays in therapy initiation and patient onboarding Higher patient abandonment risk Inconsistent patient and provider experiences Increased operational cost and administrative burden Limited visibility into case progression and access workflows Difficulty scaling patient support operations without proportional staffing increases Agentic AI for Patient Access and Workflow Orchestration

    Incedo uses agentic AI and intelligent workflow automation to orchestrate high-volume patient support and therapy access operations across the patient journey.

    The platform can:

    Automate patient intake and case creation Extract clinical and insurance information from faxes, forms, referrals, emails, and unstructured documents Coordinate benefits verification and eligibility workflows Track prior authorization status and exception handling Route cases intelligently across payer, provider, pharmacy, and support teams Trigger proactive patient outreach and follow-up reminders Monitor case progression, turnaround times, and operational bottlenecks

    AI-powered workflow intelligence continuously optimizes support operations while keeping human teams in control of escalations, approvals, and sensitive decisions through governed review workflows.

    Common Patient Support and Therapy Access Use Cases Benefits verification automation Prior authorization workflow orchestration Patient onboarding and intake automation Specialty pharmacy coordination Therapy access and reimbursement support Patient case management automation Copay assistance workflow management Patient adherence and follow-up Healthcare document extraction and processing AI-powered patient services operations Built on AWS for Scalable Healthcare Operations

    Built on AWS, the platform can leverage:

    Amazon Bedrock for GenAI-powered patient operations agents and intelligent workflow reasoning Amazon Textract for extracting data from prior authorization forms, referrals, insurance documents, and patient records Amazon Comprehend Medical for clinical entity extraction and healthcare language understanding Amazon SageMaker for predictive models, workflow optimization, and patient risk analytics Amazon EventBridge and AWS Step Functions for workflow orchestration Amazon Connect for patient communication workflows Amazon QuickSight for operational dashboards and patient services analytics Amazon HealthLake for healthcare data interoperability and patient data integration Amazon S3 for secure healthcare document storage Business Outcomes

    Incedo Agentic AI for Patient Support Services helps life sciences organizations:

    Accelerate therapy initiation and patient onboarding Reduce manual processing and administrative effort Improve prior authorization visibility and turnaround time Reduce patient abandonment and therapy delays Improve patient and provider experience Increase operational productivity without proportional headcount growth Strengthen visibility into patient access operations Scale specialty pharmacy and patient support programs efficiently Build a future-ready AI-powered patient operations model for growing therapy demand.

    Highlights

    • AI-powered patient support services platform that automates benefits verification, prior authorization, therapy access, and patient onboarding workflows.
    • Agentic AI workflow orchestration platform for life sciences that coordinates patient access operations across payers, pharmacies, providers, and support teams.
    • Built on AWS with GenAI-powered document intelligence, patient case automation, and scalable specialty pharmacy and patient services operations.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    For product support, implementation assistance, and technical inquiries, customers can contact the Incedo support team:

    Website: https://www.incedoinc.com 

    Email: Partnerships_Alliances@incedoinc.com 

    Incedo provides support across platform implementation, workflow integration, AI tuning, process configuration, user enablement, governance setup, and ongoing optimization.

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