Six Autonomous Clinical & Revenue Modules for Epic Systems
Eliminate fragmented point solutions and metered per-encounter cloud billing. Each module below runs natively inside your hospital's private virtual machine, featuring dedicated voiced walkthrough briefings, interactive 3-stage workflow inspectors, and direct launch into the live hospital workbench.
01 · HIM Clinical Coding, DRG Specificity & Resolute 837I Scrubber
Continuously audits Beaker lab trajectories, nursing flowsheets, and progress notes to capture unbilled secondary comorbidities and pre-scrubs institutional claims against CMS NCCI Procedure-to-Procedure bundling edits prior to clearinghouse transmission.
02 · Epic Bridges HL7v2 :2575 Auto-Healer & Chronicles INI Auditor
Listens continuously on local MLLP TCP port :2575
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automatically crosswalks unmapped ancillary lab codes to standard LOINC/SNOMED definitions, and audits POC → TST → PRD Data Courier migrations
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K_SER_99. Epic Bridges halts the message in error queue EIQ-104 with no on-call analyst available.
03 · Grand Central Bed Flow & Cadence Prior-Auth Engine
Forecasts inpatient discharges 6 hours ahead of order entry, dispatches Environmental Services (EVS) to turn dirty beds 47 minutes faster, and audits surgical payer authorizations 72 hours pre-op.
04 · Willow Renal Dosing Guard, Beaker Panic Lab & SBAR Synthesis
Continuously monitors kidney filtration trajectories (CrCl / eGFR) against active nephrotoxic IV medication orders, escalates critical Beaker panic labs within seconds, and synthesizes pre-dawn ICU rounding handoffs
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05 · ASAP Emergency SEP-1 Sepsis Timer & OpTime OR Readiness
Continuously evaluates Shock Index vitals and lactate levels to enforce 3-hour CMS SEP-1 bundle compliance, while auditing sterile implant preference cards 60 minutes pre-incision to prevent OR delays.
06 · Zero-Trust 18-ID HIPAA Privacy Scrubber & Staff Simulator
Scrubs all 18 HIPAA Safe-Harbor identifiers inside local RAM prior to model inference, detects unauthorized Break-the-Glass VIP chart snooping events , and trains new hospital analysts in a safe, de-identified sandbox.