Healthcare Product Engineering · RCM Software
Peerbits designs, develops and modernizes AI-powered Revenue Cycle Management software — connecting patient access, prior authorization, coding, claims, denials and payment workflows through custom platforms built on scalable cloud architecture, EHR interoperability and enterprise-grade security.
FHIR
CONNECTED
AI
ENABLED
PHI
SECURED
Prior authorization queue
ACTIVEClaim scrubbing engine
RUNNINGDenial prediction model
AIEHR sync — Epic FHIR
LIVEWorkflow intelligence that supports RCM teams, not software that replaces them.
FHIR, HL7 and clearinghouse-ready integration architecture.
Scalable architecture built for enterprise claim volume.
New RCM platforms, or staged modernization of what you run today.
What Peerbits is: a healthcare software engineering company that designs, develops, modernizes and integrates AI-powered RCM platforms. What Peerbits is not: a medical billing company, RCM outsourcing provider, coding company or healthcare BPO.
The Problem
Most revenue leakage traces back to software, not staff effort. The operational patterns below are the ones we're most often brought in to fix — through modernization, not outsourcing.
Outsourcing operations to a billing service doesn't fix a software problem — it just moves the same fragmented tools to someone else's staff. Modernizing the underlying platform is what actually closes these gaps.
Staff re-keying data across systems that don't talk to each other.
Eligibility, coding, claims and payments living in separate, disconnected tools.
Rules and requirements that vary by payer and change without notice.
Preventable errors and inconsistent follow-up driving avoidable write-offs.
Clinical and financial systems that don't share a common data model.
Staff time consumed by tasks a well-built system should automate.
Leadership without real-time insight into denial trends or claim status.
Software We Build
End-to-end coverage across the revenue cycle, built as connected modules or a full platform.
Intake workflows that capture demographic and insurance data accurately at the front door.
Real-time eligibility and benefits checks integrated into intake and scheduling.
Payer-rule matching and document preparation to reduce authorization turnaround.
Structured documentation capture that supports accurate downstream coding.
AI-assisted code suggestions with coder review and sign-off.
Pre-submission validation that catches avoidable errors before they reach a payer.
Clearinghouse-integrated submission and tracking workflows.
Classification, work queues and root-cause tracking for unresolved denials.
Document assembly and tracking for the appeals process.
Automated remittance matching and posting workflows.
Operational reporting on denial trends, AR aging and staff productivity.
Real-time visibility into revenue-cycle performance for leadership.
AI & Automation
AI works as an assistive layer inside a governed workflow — prioritizing, flagging and drafting for a human to review, not replacing the professionals who run your revenue cycle.
Surfacing the highest-priority claims and denials for staff attention first.
Flagging claims at higher risk of denial before submission.
Extracting structured data from clinical and payer documents.
Condensing documentation to support coding and review.
Suggesting candidate codes for coder confirmation.
Catching data and formatting issues before claims reach a payer.
Modeling expected revenue based on current claim and denial patterns.
Surfacing patterns in denial causes, staff workload and payer behavior.
In-workflow assistance for staff working claims, denials and authorizations.
Routing tasks across systems and teams based on defined rules.
AI as augmentation, not replacement. Every AI capability listed above works as an assistive layer — surfacing, flagging, suggesting and drafting for a human to review and approve. The professionals who run your revenue cycle remain in control of every consequential decision.
Interoperability
RCM software has to work inside an existing ecosystem of clinical and payer systems. We architect connections to the right systems at every layer of your revenue cycle.
Epic, Oracle Health, athenahealth, eClinicalWorks, NextGen, Veradigm
FHIR APIs and HL7 interfaces
Claim submission and status tracking
Payer APIs where available
INTEGRATION ARCHITECTURE
EHR & Clinical Systems
FHIR / HL7 Integration Layer
RCM Workflow Engine
Clearinghouse & Payer Connections
Integration availability, onboarding requirements and production access depend on the relevant EHR, payer or clearinghouse. Peerbits architects and builds the integration layer; certified connections are established through each vendor's own onboarding process.
What We Deliver
End-to-end platforms for health-system revenue operations.
Billing software for provider groups and billing companies.
Multi-tenant products for RCM software vendors.
Dedicated denial workflow and analytics systems.
Standalone or embedded authorization automation.
Submission, scrubbing and status-tracking systems.
Payment posting, reconciliation and patient-balance tools.
Purpose-built reporting and forecasting tools.
Scheduling, billing and workflow tools for provider practices.
When It Makes Sense
Processes a commercial platform's configuration can't accommodate.
Coding and documentation patterns specific to a specialty.
Replacing aging systems without disrupting live operations.
Deep connectivity across a large, multi-system environment.
Embedding AI capabilities the existing platform wasn't built for.
Handling rules and requirements unique to key payer relationships.
RCM functionality as a differentiated, owned product feature.
Architecture built for growth in claim volume and complexity.
Decision Framework
Neither approach is universally right — the table below reflects general tradeoffs, not a recommendation for any specific organization.
| Consideration | Commercial Platform | Custom Development | When Each Makes Sense |
|---|---|---|---|
| Time to launch | Faster initial deployment | Longer initial build, tailored fit | Speed favors commercial; fit favors custom |
| Workflow fit | Configurable within vendor limits | Built to your exact workflow | Custom when configuration can't match your process |
| Ownership | Licensed, vendor-controlled roadmap | Fully owned product and roadmap | Custom when RCM software is a strategic asset |
| Cost structure | Recurring license/subscription cost | Upfront investment, ongoing engineering cost | Depends on scale and time horizon |
| AI customization | Limited to vendor's AI roadmap | Purpose-built AI for your workflows | Custom when AI differentiation matters |
| Specialty/payer needs | May not cover niche requirements | Built for specific specialty or payer needs | Custom for unusual or highly specific requirements |
Security & Compliance
RCM systems handle PHI and financial data at scale. We build the engineering controls that support a HIPAA-aware environment.
Designed around PHI handling requirements from the start.
Traceable records across workflow, access and data-change events.
Access scoped to job function and clinical relationship.
In transit and at rest for PHI and financial data.
Environment isolation, secrets management and secure deployment.
Built around FHIR, HL7 and X12 transaction conventions.
Architecture that adapts to regional hosting and access requirements.
Security and compliance are a shared responsibility. Peerbits engineers software with HIPAA-aware architecture and controls; compliance also depends on your organizational policies, hosting environment and any required third-party audits or certifications.
Technology
Specific tools are selected per engagement based on your existing environment and requirements — this reflects our general working stack, not a fixed requirement.
FRONTEND
React, TypeScript
BACKEND
Node.js, Java, .NET
CLOUD
AWS, Azure, GCP
AI
LLM-based services, ML pipelines
INTEROPERABILITY
FHIR
INTEROPERABILITY
HL7
DATABASES
PostgreSQL, MongoDB
APIS
REST, GraphQL
DEVOPS
Docker, Kubernetes, CI/CD
MONITORING
Centralized logging & observability
Delivery Process
We start with workflow understanding before writing code — ensuring the architecture, integrations and AI components fit the operational reality of your revenue cycle.
STEP 1
Understanding workflows, stakeholders and objectives.
STEP 2
Designing the data model, integrations and AI components.
STEP 3
Designing workflows around how your staff actually work.
STEP 4
Building in staged, testable releases.
STEP 5
Connecting EHR, payer and clearinghouse systems.
STEP 6
Validating workflow logic and integration behavior.
STEP 7
Rolling out to production with a plan matched to operational risk.
STEP 8
Ongoing engineering support as your platform scales.
Why Peerbits
RCM is one part of a broader healthcare product engineering practice.
Practical experience connecting to EHRs, payers and clearinghouses.
AI scoped to specific workflows with review controls, not bolted on for marketing.
Built for scale, security and maintainability from day one.
Capacity that grows with your roadmap.
We build products, not just features.
Comfortable working with what you already have, not just greenfield builds.
Engagement models built around ongoing product ownership, not one-off delivery.
Related
Get Started
Whether you're modernizing legacy billing software, launching a new healthcare SaaS product or adding AI-powered workflow automation, Peerbits helps healthcare organizations engineer scalable revenue cycle management platforms.
Talk to Our Healthcare ExpertsReal RCM platforms, billing software and healthcare interoperability projects built by Peerbits.
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Revenue Cycle Management (RCM) software supports the financial workflow of healthcare — from patient registration and eligibility verification through coding, claims submission, denial management and payment posting. Modern RCM platforms increasingly connect these steps as one workflow system rather than a set of disconnected tools.
AI can support RCM workflows through capabilities like predictive denial analytics, coding recommendations, document understanding and intelligent work-queue prioritization. It works as an assistive layer inside a governed workflow with human review — it augments RCM staff rather than replacing them.
Yes. We assess existing RCM platforms and modernize them in stages — re-architecting workflows, migrating to cloud infrastructure, redesigning interfaces, and adding AI-assisted capabilities — without requiring a full stop to live operations.
We build integration layers to EHR platforms such as Epic, Oracle Health, athenahealth, eClinicalWorks, NextGen and Veradigm using FHIR APIs and HL7 interfaces where available. Integration availability and production access depend on the specific EHR vendor and your existing agreements with them.
Yes. We build denial classification, work-queue, root-cause analysis and appeals workflow software, including predictive denial-risk analytics where relevant to your process.
Yes. We build software that automates payer-rule matching, authorization document preparation and status tracking, with human review built into the submission step.
Yes, using standard X12 transaction sets such as 270/271, 276/277, 278, 837 and 835 where supported by the clearinghouse. Production access and onboarding timelines depend on the specific clearinghouse partner.
Yes. We work with RCM and medical billing software vendors to build proprietary, multi-tenant RCM SaaS products from architecture through production, including engagements where documentation, claims and denial workflows become a differentiated product feature.
Timelines depend on scope. A focused workflow module with a defined integration can move from discovery to production in a matter of months. A full RCM platform spanning eligibility through payment reconciliation is typically a multi-phase engagement delivered in staged releases.
Custom development makes sense when workflows, specialty requirements, payer relationships or product ambitions don't fit a commercial platform's configuration limits, or when RCM software is meant to be a differentiated, owned product rather than a licensed tool. Commercial platforms remain a reasonable choice for standard workflows where deep customization isn't required.
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