Prior authorization
The #1 pain-clinic drain. Manual payer portals, faxes, resubmissions. Prime target for AI-assisted drafting + status tracking.
Prepared specifically for Dr. Ha & the team
I'm Anthony Kheng, an AI automation builder with six years in audited healthcare IT. You're building an AI-enabled operations practice on eClinicalWorks. So instead of just sending a resume, I mapped your bottlenecks, drafted a 90-day plan, and built a working AI tool for your intake workflow.
A scaling pain & spine clinic on eCW loses the most time in three places. Each one is automatable.
The #1 pain-clinic drain. Manual payer portals, faxes, resubmissions. Prime target for AI-assisted drafting + status tracking.
Re-verified by hand per visit. eCW data + a verification workflow cuts denials before they happen.
New-patient notes read and routed manually. The demo below shows how AI structures this in seconds.
Listen first, ship a visible win fast, then build the measurement layer. Every step paired with a compliance check and a metric.
A working AI agent I built for this page. Paste a patient intake note; it returns a structured chief complaint, suggested ICD/CPT codes, and a prior-authorization draft. The kind of step that saves staff minutes per patient.
Output appears here. Powered by Claude, called securely server-side — the API key never touches the browser.
Demo runs on synthetic data only, no PHI. Output is a decision-support draft, not clinical or coding advice; in production a person reviews every draft before submission, and any real patient data would run only through a BAA-covered, HIPAA-compliant tier.
Your environment is Microsoft-based, with HubSpot for the marketing funnel. Here's the kind of KPI dashboard I'd stand up in Power BI, and how I'd wire it together with Power Automate while keeping PHI inside the compliance boundary.
AI layer (Copilot / Claude) used only on a BAA-covered tier for PHI-adjacent work.
Not just theory.
Custom agent (OpenAI API + MCP) that killed manual status entry.
Ran vulnerability management via Splunk SIEM + real-time triage. Data-driven, measured, repeatable.
Two healthcare orgs under active compliance audits — SOC 2, NIST 800-53. I build AI and keep it compliant.
I've spent six years going deep on healthcare IT and compliance, and the part that lit me up most was the AI and automation work building agent systems and advising leadership on how to actually put AI to work. This role lets me do that full-time, at the business-strategy level, with direct exec exposure and a clear path toward AI Operations leadership.
I'm an AI automation builder who already operates in audited healthcare. You're building AI-enabled operations infrastructure. That's exactly what I've been building, piece by piece, and I want to do it full-time here.