Healthcare
More capacity for care.
Help providers improve care access, reclaim clinician time and recover earned revenue with AI agents embedded in existing workflows.
- Encounter records and care plans
- Orders and payer requirements
- Claims, remittances and denials
- Appointment and provider schedules
WORKFLOWS TO TRANSFORM
Accelerate your core business.
Give providers more time to deliver care and recover earned revenue.
Move authorizations forward
Incomplete requests and repeated payer questions delay access to ordered care.
AI agents gather existing clinical evidence, draft payer responses and track requests through review and follow-up.
THE VALUESupport timely care access with less authorization rework.
Complete clinical documentation
Clinicians spend valuable appointment time rewriting notes and completing documentation after visits.
AI captures authorized encounter content, drafts notes and prepares follow-up documents for clinician review and filing.
THE VALUEReturn clinician time to patient care and capacity.
Work through revenue-cycle denials
Denied claims leave earned revenue waiting while specialists rebuild appeal evidence.
AI agents review denial reasons, retrieve supporting records and draft appeal packets for revenue-cycle specialists to validate.
THE VALUERecover earned revenue with more efficient denial follow-through.
MEASURE THE OPERATING CHANGE
- Time to authorization submission
- Time to signed encounter note
- Denial-to-appeal turnaround
Illustrative AI opportunities. Success measured against your baseline.
IMPLEMENTATION & TRANSFORMATION
From bottleneck to working agents.
Elygent connects approved clinical and billing systems, builds agents around care-team workflows and manages delivery with the required human review.
Simplify the workflow
Connect the foundation
Deploy and enable
Operate and improve
Implementation details and decision owners
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.
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.
The 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 · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
- Time to signed encounter note · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
- Denial-to-appeal turnaround · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
People retain the decisions
- Move authorizations forward
- Complete authorization requests, ready for submission. Clinicians and authorized staff approve content.
Retrieve clinical evidence and draft payer-specific authorization responses. Access, data quality, output testing and human authority are qualified during implementation.
- Complete clinical documentation
- Clinician-approved records with less documentation effort. Clinicians retain signing and treatment decisions.
Create draft clinical documentation from authorized encounter content. Access, data quality, output testing and human authority are qualified during implementation.
- Work through revenue-cycle denials
- Approved appeals with evidence and tracked status. Specialists approve coding and external submissions.
Interpret denial reasons and assemble source-grounded appeal drafts. Access, data quality, output testing and human authority are qualified during implementation.
- Simplify the workflow
- Find the bottleneck. Remove waste and agree the baseline. Current work, policies and baseline. A simpler workflow with agreed success measures. Process owner and Elygent team.
- Connect the foundation
- Make your data, knowledge and systems usable by agents. Approved data, knowledge and system access. Trusted context and qualified system connections. Data owners and implementation engineers.
- Deploy and enable
- Build agents, test exceptions and train the people using them. Test cases, review paths and working methods. A validated agent workflow and an enabled team. Elygent engineers and your team.
- Operate and improve
- Measure completed work, improve throughput and expand what works. Accepted outputs, turnaround and exceptions. A measured operating service with approved improvements. Service owner and Elygent team.
Elygent OS supports connected knowledge and approved learning behind the workflow.
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 these use cases
FROM OPPORTUNITY TO OPERATION
Find your highest-value workflow.
Bring your healthcare workflow. We’ll map the bottleneck, outcome and implementation.