RPA in Healthcare | Healthcare Process Automation

RPA in Healthcare

Healthcare staff spend a significant portion of their day on administrative tasks that deliver no clinical value. Prior authorisations submitted manually to payer portals. Patient records reconciled between systems that don't talk to each other. Insurance claims prepared, checked, and filed by hand. Compliance reports assembled from data spread across multiple systems. We build robotic process automation systems that handle these workflows automatically -- claims processing, EHR data entry, prior auth submissions, and billing reconciliation -- so clinical and administrative staff focus on patient care instead of paperwork.

  • Claims processing and prior authorisation automation for payer portals
  • EHR data migration and cross-system patient record reconciliation
  • Billing and revenue cycle automation that reduces accounts receivable days
  • HIPAA-compliant automation architecture with full audit trails
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RaftLabs builds robotic process automation systems for healthcare organisations. We automate insurance claims submission and status checking, prior authorisation requests to payer portals, EHR data entry and cross-system patient record reconciliation, revenue cycle tasks including eligibility verification and denial management, compliance reporting, and patient communication workflows. All systems are HIPAA-compliant with full audit trails. Claims processing automation typically reduces per-claim time from 8-12 minutes to under 60 seconds. A focused single-process automation runs $20,000-$50,000. Most projects deliver in 8-12 weeks.

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Administrative burden is a patient care problem

Every hour a nurse spends reconciling records is an hour not spent with patients. Every prior auth your billing team submits manually is a task that a bot can do faster and with fewer errors. The administrative overhead in healthcare isn't just a cost problem -- it's a capacity problem.

RPA doesn't replace clinical judgment. It replaces the repetitive, rule-based work that surrounds it -- the data entry, the portal submissions, the status checks, the report assembly -- so your staff has more time for the work that requires a human.

Capabilities

Healthcare processes we automate

Insurance claims processing

Automated CMS-1500 and UB-04 claims preparation, EDI 837P/837I submission, status monitoring, and rejection management -- processing that currently takes 8-12 minutes per claim manually runs in under 60 seconds per claim with error rates dropping from 5-10% to under 1%. Bots extract patient demographics, insurance ID, diagnosis codes (ICD-10), procedure codes (CPT, HCPCS), and rendering provider NPI from your EHR (Epic, Cerner, eClinicalWorks, Athenahealth), populate payer-specific claim forms, and submit via your clearinghouse (Availity, Change Healthcare, Office Ally) or direct payer EDI connection. Clearinghouse acknowledgement (999/277CA) tracking confirms submission receipt; claim status queries (276/277) run on a configurable schedule so outstanding claims are monitored without manual portal logins. Rejected claims (835 remittance, CO/PR reason codes) are categorized by rejection type and routed to the appropriate staff member with the rejection code, the denial reason in plain English, and the specific claim data element that triggered the rejection -- so the resubmission step takes minutes rather than requiring the biller to research the reason code from scratch.

Prior authorisation automation

Automated prior authorisation request submission across payer portals -- the workflow that currently takes 20-40 minutes of staff time per request and introduces delays that postpone scheduled procedures and frustrate patients. Bots pull patient demographics, insurance information, diagnosis codes (ICD-10), procedure codes (CPT), and the required clinical justification documentation from your EHR; complete the payer-specific prior auth form on the payer portal (BCBS, UnitedHealthcare, Aetna, Cigna, and regional payers); and submit the request with all required supporting documentation attached. For payers that accept electronic prior auth via X12 278 transactions, we use the EDI channel for faster submission and structured status responses rather than portal UI automation. Status checking queries run on a configurable schedule (every 4 hours for urgent procedures, daily for elective) with escalation to the prior auth coordinator when an authorisation has not been received within the payer's published turnaround standard. Denied prior auths trigger an appeal workflow with the relevant clinical criteria and payer-specific appeal form populated from the same source data. The 30-minute manual process becomes a 5-minute exception-review process for complex cases; straightforward requests process without staff involvement.

EHR data entry and migration

Automated data entry from intake forms, referral documents, lab results, and external records into your EHR -- eliminating the manual transcription work that consumes medical admin time and introduces transcription errors. HL7 v2.x (ADT, ORU, ORM message types) and FHIR R4 API integration handles real-time data exchange between your EHR and connected systems (labs, imaging, pharmacy, referral partners) without manual re-entry. For sources that don't support structured interfaces (scanned referral letters, faxed lab results, PDF discharge summaries), OCR extraction pulls the relevant clinical data fields for staff to verify before posting -- reducing the data entry time per document from minutes to a 30-second verification step. Cross-system patient record reconciliation matches patient records across your EHR, billing system, and scheduling platform using probabilistic matching (name, DOB, MRN, insurance ID) to identify duplicates and merge conflicts before they compound. Bulk data migration for practice acquisitions or EHR transitions (Epic to Cerner, eClinicalWorks to Athenahealth) includes data mapping, transformation, validation, and reconciliation reporting to confirm migration completeness before the source system is decommissioned.

Revenue cycle automation

Automation across the full revenue cycle from patient scheduling to payment posting -- the end-to-end workflow where manual steps at each stage compound into extended days in AR (industry average: 40-50 days; optimised RCM: 25-30 days). Eligibility verification bots run EDI 270/271 transactions against payer databases 24-48 hours before each scheduled appointment, flagging coverage lapses, plan changes, or missing authorisations before the patient arrives rather than after the visit when collection is harder. Co-pay and deductible lookup presents staff with the patient's current balance at check-in. Post-visit charge capture automation applies CPT and modifier coding rules to encounter data before claim submission, reducing undercoding and overcoding errors that trigger audits or underpayment. Denial management workflows categorize 835 remittance advice denials (CO-4 coding error, CO-97 duplicate claim, PR-1 deductible, CO-45 contractual adjustment) and route each denial type to the correct rework protocol -- coding denials to the coding team, eligibility denials to the front desk, timely filing denials for appeal. Payment posting automation applies remittance advice adjustments to the correct patient account, identifies underpayments against contracted rates, and generates automated appeals for payment variances above a configurable threshold.

Compliance and regulatory reporting

Automated assembly of compliance reports from data across multiple clinical and administrative systems -- eliminating the multi-day manual compilation that currently blocks compliance staff from higher-value analysis. CMS quality measure reporting (HEDIS, STARS, MIPS/MACRA) pulls clinical data from your EHR, applies measure calculation logic, and generates the submission file for your registry or direct CMS reporting channel. HIPAA compliance monitoring tracks Business Associate Agreement (BAA) expiry dates, logs access to PHI with the user, timestamp, and records accessed, and flags anomalous access patterns (unusual volume or off-hours access) for the Privacy Officer review queue. Meaningful Use/Promoting Interoperability attestation data assembles automatically from your EHR audit logs and patient engagement metrics. Payer-specific data submissions (quality bonus program data, utilization reports, population health measures) are generated from your EHR data on the payer's schedule and submitted via the payer's portal or secure file transfer without manual preparation. Every compliance report is timestamped, versioned, and logged -- providing the audit trail that demonstrates compliance to the reviewer who arrives without advance notice.

Patient communication workflows

Automated appointment reminders, recall notifications, and follow-up communications triggered by EHR events -- reducing no-show rates by 25-40% and freeing front desk staff from manual outreach calls that consume 2-4 hours per day. Appointment reminders fire on a configurable schedule (72 hours and 24 hours before) via SMS, email, and automated voice call based on each patient's recorded communication preference; confirmation responses update the appointment status in your EHR without staff involvement. Recall notifications trigger on configurable intervals after the last visit (annual physical due, 6-month diabetic follow-up, 90-day chronic care management check-in) with direct scheduling links so patients book without calling. Lab result notifications fire when results are finalized in your EHR with a secure message directing the patient to their portal for results and instructions -- reducing inbound calls from patients asking for results. Post-visit follow-up sequences check in on patient status 48-72 hours after discharge or procedure, capture satisfaction scores, and flag responses indicating clinical concern (reported pain above threshold, side effects, unresolved symptoms) for clinical staff to call back. Prescription refill reminders fire 7 days before the last refill expires for chronic medications, reducing gaps in adherence and the associated clinical and revenue impact.

Tell us which administrative process costs your team the most time.

Process, volume, and current system. We'll design the automation and give you a fixed cost.

Frequently asked questions

The best RPA candidates in healthcare share three characteristics: they're high volume, rule-based, and currently done by people copying data between systems. Top candidates include: insurance claims submission and status checking (bots submit to payer portals, check status, and flag rejections), prior authorisation requests (bots complete payer-specific forms using patient and clinical data), EHR data entry from intake forms or referral documents, patient scheduling and reminder workflows, pharmacy benefit verification, and compliance and regulatory reporting that requires data aggregated from multiple systems.

Healthcare RPA must be implemented with HIPAA compliance as a design requirement, not an afterthought. We build RPA systems with access controls that limit data exposure to only what each bot requires, encrypted credential management (no hardcoded passwords), full audit logs of every action a bot takes including what data it accessed and modified, and secure data handling in line with your existing HIPAA policies. The RPA system inherits the compliance posture of the systems it accesses -- we document the data flows and help ensure the implementation meets your compliance requirements.

We integrate with EHR systems via three approaches depending on what your system exposes: UI automation (the bot interacts with the EHR interface as a user would -- useful when no API exists), API integration (where the EHR exposes a FHIR or HL7 API, we use it directly for more reliable data access), and database integration (for on-premise EHR systems where direct database access is available and appropriate). Common EHR systems we've worked with or around: Epic, Cerner, eClinicalWorks, NextGen, and Athenahealth. The integration approach is determined during scoping based on what your specific EHR version exposes.

Claims submission automation typically reduces processing time from 8--12 minutes per claim (manual) to under 60 seconds (automated), with error rates dropping from 5--10% to under 1%. Prior authorisation workflows that take 20--40 minutes of staff time per request are typically automated to under 5 minutes of bot-handled work with a human review step for exceptions. Revenue cycle teams report 30--50% reduction in time spent on routine billing tasks. The actual savings depend on your current process, claim volume, and payer mix.

A focused healthcare RPA system -- one process automated (e.g., claims submission to 3 payers), including bot development, testing in your environment, and deployment -- typically runs $20,000--$50,000. Multi-process automation programmes covering claims, prior auth, and EHR data entry run $50,000--$120,000. Cost depends on the number of processes, payer or system complexity, and integration requirements. We scope every project before pricing it.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope RPA in Healthcare in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.