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Your Billing Team Shouldn't Need 5 Tabs Per Claim

Healthcare operations drown in manual data entry, disconnected systems, and revenue that leaks through cracks nobody can see. DxLogic builds AI workflows that stop the bleeding — so you recover revenue, reduce denials, and free your staff from paperwork.

Find Your Workflow →
$1.2M
Revenue Recovered
75%
Fewer Claim Denials
60 days
First Workflow Live

AI Workflows We Build for Healthcare

Purpose-built automation for labs, health systems, and clinical operations.

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Order Intake Automation

AI reads incoming orders in any format — faxes, PDFs, portal submissions — extracts structured data, validates against test catalogs, and auto-populates your LIMS. Human review only on low-confidence extractions. Eliminates manual re-keying of patient demographics, test codes, and insurance data.

43% faster order entry
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Claims Denial Predictor

A predictive denial model trained on your historical claims data flags likely-to-deny claims before submission, auto-corrects common coding errors, and routes edge cases for human review. Generates a denial analysis dashboard showing exactly where revenue is leaking.

75% fewer denials • $1.2M recovered
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Cross-Site Operations Dashboard

A unified data layer that ingests data from all your systems, normalizes it, and generates automated dashboards overnight. Custom HL7 processing pipeline ensures data consistency across locations. Real-time visibility replaces the monthly spreadsheet assembly.

90% less reporting time
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Patient Results Delivery Engine

A custom integration layer connecting all testing modalities with automated data flow. Eliminates manual handoffs between collection, processing, and reporting. Delivers results to clinician portals via the right channel — portal, SMS, fax — based on provider preference.

64% faster result delivery
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Insurance Verification Engine

AI pulls eligibility data from payer portals, cross-references patient records, and flags coverage gaps before specimen collection. Runs automatically on scheduled patients. Eliminates the morning ritual of manually checking 5 different payer websites.

60% fewer eligibility rejections
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Financial Assistance Processor

AI-powered application processing: OCR reads submitted documents, AI extracts and validates eligibility data, an automated rules engine determines approval, and results feed directly into the billing system. Processing drops from hours to minutes. Patients get answers in days instead of weeks.

91% faster processing
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Multi-Site System Unification

Phased unification of disconnected systems across multiple locations after acquisitions. Standardized platform deployment, unified master configuration, centralized reporting, and migration with zero downtime. One platform. One view. One team.

59% cost reduction
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MDS Documentation Assistant

AI pre-populates MDS 3.0 fields by extracting relevant data from all connected clinical systems — EHR, pharmacy, therapy notes. Nurses review, validate, and sign off instead of compiling from scratch. Assessment accuracy increases. Staff burden drops dramatically.

3 hours to 30 min assessment time
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Results from Operations Like Yours

How a national diagnostics laboratory eliminated manual processes and saw measurable ROI.

Case Study

120x Faster Order Intake — Recovering $1.2M in Annual Revenue

A national diagnostics lab processing 45,000 daily specimens with manual order entry taking 6.3 minutes each. 14.2% billing denial rate draining revenue. 8% results delivery failures. Staff burned out from repetitive data entry across disconnected systems.

DxLogic built an AI-powered document processing pipeline that reads incoming orders, extracts structured data, validates against test catalogs, and auto-populates the LIMS. Added automated results delivery and upstream billing validation.

43%
Faster Order Entry
$1.2M
Annual Revenue Recovered
76%
Fewer Data Entry Errors
Get Results Like These →

Want results like these for your healthcare operation?

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"DxLogic's engineering services have been critical in building and extending our core systems. They support our day-to-day operations while driving innovation."
— Dr. Sarah M., CIO, National Diagnostics Company

The Day-to-Day Difference

What changes when your healthcare workflows stop being manual.

Before (Manual) After (DxLogic AI Workflow)
Claim denial rate at 12%. Denied claims pile up in a shared inbox nobody owns. Revenue walks out the door every month. Denial rate drops to 3%. AI flags and corrects errors before submission. $1.2M in annual revenue recovered.
Order entry takes 6.3 minutes per specimen. Staff manually re-keys patient demographics, test codes, and insurance data across systems. AI reads, extracts, validates, and populates in 10 seconds. Human review only on low-confidence extractions.
Monthly reporting takes 40 hours stitching data from 8 disconnected systems. Reports are stale by the time they arrive. Unified dashboard generates overnight. 4 hours instead of 40. Real-time visibility across all locations.
Results turnaround averages 14 days. Manual handoffs at every step between collection, processing, and reporting. Automated data flow cuts turnaround to 5 days. Results delivered via the right channel based on provider preference.
MDS assessments take 2-4 hours per resident. Nurses pulling from 4 separate systems, compiling by hand. AI pre-populates from all connected systems. Nurses review in 30 minutes. 100% completion rate.
Multi-site system costs at $3.2M/year across 7 incompatible platforms. Duplicate licenses, duplicate training, no unified view. One unified platform at $1.3M/year. Zero duplicate licenses. Real-time visibility everywhere.

Built for Teams Running These Operations

If any of these describe your day-to-day, we built this for you.

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Revenue Cycle Directors

Mid-size hospital, health system, or laboratory network (50-500 employees). Denial rates climbing above 10%. Revenue walking out the door through billing errors nobody catches. Staff turnover in billing because the work is mind-numbing repetitive data entry. You need AI that catches denials before submission and eliminates the copy-paste.

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VP of Operations / Lab Directors

Multi-site laboratory network or diagnostics company (3-20 locations). No unified view of operations across sites. Reporting takes 40 hours to assemble and is stale by the time it arrives. Post-acquisition systems that don't talk to each other. You need a unified data layer and real-time dashboards.

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Directors of Nursing / Clinical Ops

Long-term care facility or hospital system (100+ beds). Documentation burden crushing clinical staff. Nurses spending 30-40% of their time on paperwork instead of patient care. MDS assessments behind schedule. State survey approaching. You need AI that pre-populates documentation and gives nurses their time back.

Common Questions About AI Workflows for Healthcare

We already have an EHR/LIS. Why do we need DxLogic?
Your EHR and LIS are good at storing data and managing clinical workflows. What they don't do is eliminate the manual work between them. Your staff is still copying data from the EHR into the billing system, from the billing system into spreadsheets, from payer portals back into patient records. We don't replace your systems. We build the AI layer that connects them and eliminates the copy-paste.
What about HIPAA? We can't risk patient data.
We build within your infrastructure, not ours. Your data stays in your environment. We sign BAAs, follow SOC 2 practices, and design every workflow with audit trails and role-based access controls. We've worked inside HIPAA and CLIA regulated environments from day one. Compliance isn't an afterthought — it's built into the architecture.
Our claim denial rate is above 10%. Can AI really fix that?
We've taken a denial rate from 12% to 3% in a single implementation. The AI pre-screens every claim against historical denial patterns, auto-corrects common coding errors, and flags edge cases for human review. The denial analysis dashboard shows you exactly which payers, which codes, and which patterns are causing the leaks. You stop guessing and start fixing root causes.
We've been through acquisitions and have 5+ different systems. Is unification realistic?
We've done it. Seven systems across 5 states unified onto a single platform in 14 months with zero downtime. Annual system costs dropped from $3.2M to $1.3M. The key is phased migration — we build the unified data layer first, get real-time visibility working, then migrate site by site while operations continue.
How do AI workflows handle the edge cases our staff catches?
Every workflow we build includes confidence scoring and human-in-the-loop validation. The AI handles the 80-90% of cases that follow predictable patterns. When confidence drops below threshold, the system routes to a human reviewer with context and a recommended action. Your staff focuses on judgment calls, not data entry.
Our nurses are already understaffed. We can't add a technology project to their plate.
That's exactly why we built this model. The clinical team's involvement is minimal — a few hours during the audit phase to understand their workflows. We handle all the technical design, development, and deployment. When the workflow goes live, it reduces their documentation burden by 60-90%. This isn't another system to learn. It's fewer hours of paperwork.
What does this cost, and what's the ROI timeline?
The audit costs $5K-$10K and identifies the 3-5 highest-ROI workflows. A typical build runs $25K-$75K. Monthly retainer for ongoing monitoring and optimization is $3K-$8K. For context: a single claims denial workflow recovered $1.2M in annual revenue for a diagnostics lab. Most healthcare clients see positive ROI within 90 days of deployment.
We tried an AI vendor before and the project failed. What makes you different?
95% of AI projects fail because someone built a demo that impressed executives but never connected to actual production systems. The gap between a demo and running in your operation at 2 AM on a Saturday is massive — and it's mostly software engineering, not AI. Data cleanup. API integration. Error handling. HL7 processing. Monitoring. We don't build demos. We build operations. And we stick around to run them.

Your Revenue Is Leaking. Your Staff Is Drowning. The Fix Takes 60 Days.

Book a free 15-minute AI Assessment. We'll map your clinical and billing data flow, identify where manual handoffs are costing you revenue, and show you the 3 workflows with the highest ROI. No commitment. No generic pitch. Just a clear picture of where your healthcare operation is losing money to manual processes.

Schedule Your AI Assessment →

First workflow live in 60 days. Cancel the retainer with 30 days notice. No lock-in.