Healthcare AI
AI Agents Built for Clinical and Billing Workflows
A healthcare AI agent is software that reads patient records, insurance data, or clinical notes and completes a defined task such as prior authorization drafting or appointment triage, operating inside HIPAA constraints with a signed business associate agreement covering every vendor that touches PHI.
01Where PHI creates constraints
Every workflow that touches patient data starts with a data map. We identify which fields count as protected health information under HIPAA, which systems store them, and which staff roles are allowed to see them. That map determines whether a task can run on a general purpose model endpoint or needs a covered entity's private deployment.
We sign a business associate agreement before any PHI enters a pipeline. If a subprocessor in the stack, such as a transcription API or an OCR vendor, won't sign one, we swap it out or keep that step manual. This is not negotiable and it slows the first two weeks of a project.
02Workflows we build most often
Prior authorization drafting
An agent pulls the clinical justification from the chart in Epic or athenahealth, matches payer-specific criteria, and drafts the request for a staff member to review and submit.
Intake and eligibility checks
New patient forms are parsed, matched against insurance eligibility APIs, and flagged for missing fields before the appointment, cutting down day-of scheduling calls.
Clinical note summarization
Encounter notes are condensed into a structured summary for referral letters or care coordination, with the source note linked for the clinician to confirm.
Denial and appeal triage
Denied claims are categorized by denial code and routed with a drafted appeal letter, so billing staff review and edit rather than start from a blank page.
03How a healthcare engagement runs
- Step 01
Data and compliance mapping
We inventory PHI touchpoints across your EHR, practice management system, and any third-party portals before writing a line of automation logic.
- Step 02
BAA execution and access scoping
Legal paperwork is completed and access is scoped to the minimum necessary fields, following HIPAA's minimum necessary standard.
- Step 03
Pilot on a single workflow
We build one workflow, such as prior auth drafting for a single payer, and run it in shadow mode next to existing staff process.
- Step 04
Clinical and billing staff review
Front-line staff test the agent's output against real cases for two to four weeks before it touches live patient-facing work.
- Step 05
Rollout with audit logging
Every agent action is logged with timestamp and user, so the practice can produce an audit trail if a payer or auditor asks for one.
04Healthcare engagement specifics
| Spec | Detail |
|---|---|
| Typical entry point | Prior authorization or intake automation for a single specialty or payer |
| Typical timeline | 6 to 12 weeks for first workflow, including BAA review |
| Integration surface | Epic, athenahealth, eClinicalWorks, payer eligibility APIs, fax and PDF intake |
| Data sensitivity | High. All PHI handling requires signed BAAs with every subprocessor |
| Human review requirement | Clinical or billing staff reviews every output before it reaches a patient or payer |
| What does not work well | Fully autonomous clinical decision support or diagnosis suggestions |
05What we will not automate
We do not build agents that make independent clinical judgments, recommend treatment, or auto-submit prior auth requests without staff sign-off. Malpractice exposure and licensing rules for clinicians mean a human with a license needs to own the final call. Our agents draft, flag, and summarize. They do not decide.
Start with one workflow
Call (720) 330-5721 to scope a pilot on prior auth, intake, or denial triage. We start narrow and expand only after staff trust the output.
FAQQuestions
Common questions
Will you sign a BAA before touching our data?
Yes. We sign a business associate agreement before any PHI is processed, and we vet subprocessors for the same requirement.
Does this replace clinical staff?
No. Agents draft and summarize. A licensed clinician or billing specialist reviews and approves before anything reaches a patient or payer.
Which EHRs do you work with?
Most projects run against Epic, athenahealth, or eClinicalWorks, depending on your practice management setup.
How long before we see a working pilot?
Typically 6 to 12 weeks for a first workflow, most of that spent on compliance mapping and staff review cycles.
Last reviewed 2026-08-16
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Use cases
- AI Chatbot for Appointment Setting
Appointment setting is the back-and-forth work of finding a time that fits both a customer and a business, then confirming it on a shared calendar. A custom chatbot handles this exchange directly on a website or messaging channel, checking real availability and booking the slot without a staff member typing a single reply.
- Multimodal AI for Document Data Extraction
Document data extraction is the task of pulling structured fields, like names, dates, amounts, or clauses, out of unstructured files such as PDFs, scanned forms, or photographs. Multimodal AI models read both the text and the visual layout of a document to extract this data accurately, even from messy or inconsistent formats.
- Intake Form Processing
Intake form processing automation reads new client or patient intake submissions, extracts the relevant fields, checks them against required criteria, and routes the record into the correct system without a staff member retyping the information, cutting the delay between a submitted form and a usable record in the CRM system.
Solutions
- Business Process Automation
Business process automation removes repeated manual work from a company's back office. Lingows AI automates document processing, data entry, approval routing, and recurring reporting by combining models that read unstructured input with integrations that write clean records into systems of record.
- AI Integration
AI integration connects a language model to the systems a business already runs. Lingows AI builds typed tool layers, middleware, and MCP servers so models can read and write in a CRM, an ERP, or an internal API safely, with authentication, validation, and audit logging on every call.
Scope an AI build for ai implementation for healthcare practices and health systems
Bring one workflow, its volume, and the systems of record behind it. Lingows AI will tell you what automates cleanly and what should stay with a person.