AI and CX for the front door of care.
Care navigation, patient access, clinical documentation, referrals and revenue cycle — automated and augmented with governed AI on Epic and Oracle Health integration patterns.
Ranges reflect outcomes observed across Pronix healthcare-provider engagements; results vary by EHR, payer mix and service line. Documentation-burden figure per Sinsky et al., Annals of Internal Medicine, 165(11):753–760 (2016).
Patient access and revenue cycle are the biggest AI opportunities in healthcare.
Patients can't reach the right care fast enough. Clinicians drown in documentation. Revenue cycle leaks at every touchpoint. AI applied well — with PHI-safe governance — changes all three.
- Access frictionLong hold times, dropped calls and referral leakage lose patients before care ever starts.
- Clinical documentation burdenPhysicians spend nearly two hours on documentation for every hour of patient care (Sinsky et al., Annals of Internal Medicine, 2016) — a major driver of burnout.
- Revenue cycle complexityPrior auth, eligibility, claims and denials — every step is a hand-off that leaks revenue.
Care-first AI and CX capabilities.
Amazon Connect + Lex voice bot integrated with EHR scheduling APIs — healthcare-grade auth and warm transfer on clinical questions.
Genesys + Azure OpenAI copilot for patient financial services — balance, plan eligibility, script-safe payment options in real time.
Ambient documentation, coding assistance and encounter summarization (Azure OpenAI) with clinician-in-the-loop.
Multi-agent system on Azure OpenAI + Copilot Studio — intake, payer-rules, submission and follow-up agents; humans review exceptions only.
Denial classification, root-cause tagging and drafted appeal packets — 2–3x rework throughput.
Semantic search across clinical, policy and coding content on AWS Bedrock with PHI-aware access controls.
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Patient access, RCM and clinical workflow audit.
Care journey, AI architecture and PHI model.
One service line with measurable KPIs.
EHR integration, CCaaS build, evals.
Service lines, regions, languages.
Managed operations with clinical oversight.
Use cases already in production with enterprise clients.
Natural-language voice bot integrated with EHR scheduling APIs and healthcare-grade auth — 60–75% containment on scheduling intents.
Grounded copilot surfaces balance, plan eligibility and script-safe payment options — 25% AHT reduction, higher FCR.
Multi-agent intake, payer-rules, submission and follow-up — humans review exceptions only, 60% fewer manual touches.
Unified semantic search over clinical, policy and coding content with PHI-aware access controls and evaluation guardrails.
Fax/PDF/portal records classified, extracted and indexed to the EHR — 70–85% straight-through processing.
Classification, root-cause tagging and appeal-packet drafting with reviewer approval — 2–3x throughput.
Patient Access Maturity Model
A staged model — reactive call center → self-service IVA → predictive navigation → closed-loop RCM — with EHR (Epic App Orchard, Oracle Health/Cerner) integration patterns, PHI controls and the KPIs that move at each stage.
Pronix service lines aligned to healthcare providers outcomes.
Strategy, implementation and operating support are combined around the service motions most relevant to this industry.
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Where this fits in our practice
Questions buyers ask us first.
- Is your AI healthcare-ready?
- Yes — PHI-safe retrieval, BAAs with underlying providers, PHI redaction and audit trails are standard.
- Do you integrate with Epic and Oracle Health (Cerner)?
- Yes — Epic (App Orchard, Vendor Services, MyChart) and Oracle Health (Cerner) integrations are core patterns; see the Patient Access reference architecture linked above.
- How do ambient clinical documentation copilots stay clinician-safe?
- Clinician-in-the-loop by design: the LLM drafts note sections and coding suggestions; the clinician reviews, edits and signs. Prompts, models and outputs are logged and evaluated against a governance harness.
- Can you support ambulatory as well as inpatient?
- Yes — the patterns span ambulatory, ED, inpatient and post-acute settings.
Book a working session with our healthcare providers team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.