# Elygent for Healthcare More capacity for care Help providers improve care access, reclaim clinician time and recover earned revenue with AI agents embedded in existing workflows. Core data: Encounter records and care plans · Orders and payer requirements · Claims, remittances and denials · Appointment and provider schedules Give providers more time to deliver care and recover earned revenue. Encounter records, payer requirements and billing information live apart, delaying care access and payment. Agents connect the work so providers can serve patients and complete revenue recovery. ## AI workflows to transform ### Move authorizations forward Operating pain: Incomplete requests and repeated payer questions delay access to ordered care. Agent execution: AI agents gather existing clinical evidence, draft payer responses and track requests through review and follow-up. Accepted output: Complete authorization requests, ready for submission. Business value: Support timely care access with less authorization rework. Decision owner: Clinicians and authorized staff approve content. AI capability: Retrieve clinical evidence and draft payer-specific authorization responses. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: hc-epic ### Complete clinical documentation Operating pain: Clinicians spend valuable appointment time rewriting notes and completing documentation after visits. Agent execution: AI captures authorized encounter content, drafts notes and prepares follow-up documents for clinician review and filing. Accepted output: Clinician-approved records with less documentation effort. Business value: Return clinician time to patient care and capacity. Decision owner: Clinicians retain signing and treatment decisions. AI capability: Create draft clinical documentation from authorized encounter content. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: hc-microsoft ### Work through revenue-cycle denials Operating pain: Denied claims leave earned revenue waiting while specialists rebuild appeal evidence. Agent execution: AI agents review denial reasons, retrieve supporting records and draft appeal packets for revenue-cycle specialists to validate. Accepted output: Approved appeals with evidence and tracked status. Business value: Recover earned revenue with more efficient denial follow-through. Decision owner: Specialists approve coding and external submissions. AI capability: Interpret denial reasons and assemble source-grounded appeal drafts. Implementation limits: Access, data quality, output testing and human authority are qualified during implementation. Research source IDs: hc-epic ## Measure the operating change - Time to authorization submission - Time to signed encounter note - Denial-to-appeal turnaround ## Implementation and transformation Elygent connects approved clinical and billing systems, builds agents around care-team workflows and manages delivery with the required human review. ### 1. Simplify the workflow Find the bottleneck. Remove waste and agree the baseline. ### 2. Connect the foundation Make your data, knowledge and systems usable by agents. ### 3. Deploy and enable Build agents, test exceptions and train the people using them. ### 4. Operate and improve Measure completed work, improve throughput and expand what works. Illustrative AI implementation opportunities. Scope, access, controls and acceptance are agreed per engagement; these are not verified Elygent customer results. ## Implementation details From bottleneck to working agents Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard. Where we start: Your core data, existing systems and a valuable operating bottleneck. What we implement: An implemented agent workflow, enabled people and measured operating outcomes. ### Simplify the workflow Source records: Current work, policies and baseline. Output: A simpler workflow with agreed success measures. Owner: Process owner and Elygent team. ### Connect the foundation Source records: Approved data, knowledge and system access. Output: Trusted context and qualified system connections. Owner: Data owners and implementation engineers. ### Deploy and enable Source records: Test cases, review paths and working methods. Output: A validated agent workflow and an enabled team. Owner: Elygent engineers and your team. ### Operate and improve Source records: Accepted outputs, turnaround and exceptions. Output: A measured operating service with approved improvements. Owner: Service owner and Elygent team. ### Foundation for execution #### Encounter records and care plans Qualify ownership, permitted access, quality and business context before connecting. #### Orders and payer requirements Qualify ownership, permitted access, quality and business context before connecting. #### Claims, remittances and denials Qualify ownership, permitted access, quality and business context before connecting. #### Appointment and provider schedules Qualify ownership, permitted access, quality and business context before connecting. ### Agreed measures Measurement definitions to agree and baseline per engagement; no achieved performance is claimed. #### Time to authorization submission Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Time to signed encounter note Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. #### Denial-to-appeal turnaround Elapsed time between the agreed start and accepted completion of the workflow. Unit: Time Compare with the baseline while preserving quality and required review. Elygent OS supports connected knowledge and approved learning behind the workflow. ### Questions about implementation #### Do we need to replace our systems? Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment. #### How do we know the work improved? Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated. ## Research behind the AI use cases Documented AI use cases elsewhere in the industry; these are not Elygent customer results. - hc-epic: [Epic — Penny for Revenue Cycle and Operations](https://www.epic.com/software/penny/) — Current undated page describes prior-authorization document search and drafted answers, coding suggestions and denial-appeal drafts. It also reports a specific Advocate Health specialty-pharmacy example; vendor and customer results are not Elygent outcomes. Published: not stated. Updated: not stated. Evidence: Documented product workflows with a named customer example. Accessed 2026-10-05. - hc-microsoft: [Microsoft — Dragon Copilot intended use cases](https://learn.microsoft.com/en-us/industry/healthcare/dragon-copilot/whitepapers/use-cases) — Date is the documented last update. Describes draft encounter notes, summaries and referral letters for qualified care-team users; customers retain review, approval and EHR filing responsibility. This supports documentation assistance, not autonomous clinical decisions. Published: not stated. Updated: 2026-08-21. Evidence: Current official intended-use documentation. Accessed 2026-10-05. Canonical page: https://elygent.ai/industries/healthcare Implementation approach: https://elygent.ai/how-we-work Services: https://elygent.ai/services Security and control: https://elygent.ai/security Public information is read-only. Contact, newsletter signup and booking require the person's explicit authorization.