Hire elder care facility billing automation devs

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Cut billing lag without ballooning payroll.

Outstaffing senior Python developers gives elder care operators instant access to specialists who have already automated claims, remittance, and reconciliation for facilities just like yours. You avoid 8-12 weeks of recruiting, background checks, and costly benefits while keeping 100 % technical control. Our augmentation model plugs certified talent into your stack within a week, aligns with EST to PST hours, and scales up or down month-to-month. Result: lower total cost of ownership, faster revenue recognition, and zero HR risk—all while your in-house team focuses on patient-facing innovation.
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Lightning-fast onboarding
Lower overhead costs
Access to specialists
Scalable team size
No payroll taxes
24/7 development cycle
Healthcare compliance expertise
Immediate knowledge transfer
Vendor-managed HR
Zero recruitment fees
Risk-free trial
Focus on core care

What tech leaders say

Impact: 3 Python engineers integrated with our Django billing portal in 5 days. They built an automated Medicaid remittance parser that cut manual posting by 82 %. Result: month-end close now finishes 6 days sooner.

Megan Harper

VP of Technology

Heartland Living Systems

Smartbrain’s FastAPI & pandas pros mapped 18 EHR exports into one dashboard. Denials flagged in real-time, saving us 120 staff hours monthly. Quality: zero regression bugs thanks to PyTest coverage.

Carlos Bennett

CTO

SilverBridge Care Centers

On Monday we signed; by Friday their Celery experts were queuing claims batches. Throughput jumped 3× and my internal devs finally focused on UI. Hiring speed: unbeatable.

Linda Rhodes

Engineering Manager

Evergreen Senior Homes

Their NumPy & SQLAlchemy gurus created a reconciliation engine that balanced 98 % of payments automatically. Integration with our legacy AS/400 via Python-IBM driver was flawless.

Ryan Foster

Director of IT

Oakridge Skilled Nursing

We scaled from 1 to 5 developers during peak migration without penalties. Smartbrain handled HR, payroll, and HIPAA training while we kept roadmap control.

Samantha Lee

Product Owner

BrightPath Health Services

Their Airflow & pandas stack replaced CSV uploads. Aging accounts report now refreshes hourly—DSO dropped from 56 to 39 days. Support tickets about mis-posted payments vanished.

George Mitchell

CFO

Harborview Senior Care

Assisted-Living Ops

Needs: resident billing, meal-plan add-ons, insurance splits.
Python tasks: automate claim generation with pandas, integrate payments to EHR via FastAPI, produce compliance dashboards. Augmented devs ensure HIPAA, ICD-10, and state Medicaid alignment while freeing administrators from spreadsheets.

Skilled Nursing

Needs: high-volume Medicare Part A/B submissions.
Python tasks: Celery workers batch UB-04 files, Django admin screens track remittance, NumPy algorithms flag underpayments. Outstaffed engineers deliver 24/7 monitoring without inflating headcount.

Home Health

Needs: episodic billing tied to field visits.
Python tasks: GPS-time-stamped claim validation, real-time eligibility checks, payment reconciliation microservices. Augmentation accelerates release cycles while maintaining PHI security.

Hospice Providers

Needs: per-diem billing, cap calculation, audit trails.
Python tasks: pandas analytics for cap reports, Django-based payer APIs, automated NOE/NOTR filing. Contract devs keep OASIS and CMS updates current.

Medical Billing BPO

Needs: multi-client processing at scale.
Python tasks: multi-tenant FastAPI services, queue-driven OCR of EOBs, dashboarding in Plotly. Outstaffing lets BPOs expand volume without extra office space.

Health Insurance

Needs: provider claim intake, fraud detection.
Python tasks: scikit-learn anomaly models, REST integrations to clearinghouses, real-time provider portal. Augmented teams deliver features while actuaries focus on risk models.

Pharmacy Chains

Needs: long-term-care prescription billing, prior authorizations.
Python tasks: rules engines, FHIR APIs, reconciliation scripts to POS. Flex contracts align staffing with flu-season spikes.

Healthcare FinTech

Needs: payment posting, AR financing analytics.
Python tasks: pandas cash-flow models, event-driven Kafka pipelines. Augmented devs shorten time-to-market while investors see faster ROI.

Govt. Health Agencies

Needs: compliance reporting, public-fund disbursement.
Python tasks: automated 837I/835 conversions, ETL to state data warehouses, secure audit logs. Outsourced Python talent meets tight budgets and procurement cycles.

Elder care facility billing automation case studies

24-State Assisted-Living Network

Client: Private-equity backed operator managing 7,200 beds. Challenge: Their legacy ERP created a 14-day lag in elder care facility billing automation, delaying cashflow. Solution: Our 5-person augmented Python squad rebuilt the claims pipeline with Django, Celery, and payer-specific mappers, deployed on AWS Fargate for elasticity. Result: 83 % latency reduction in claim submission and $1.6 M annual DSO savings.

Regional Hospice Group

Client: Non-profit hospice serving 1,300 patients weekly. Challenge: Manual cap-calculation spreadsheets crippled elder care facility billing automation and audit readiness. Solution: Two Smartbrain pandas experts implemented a rules-driven engine that ingests EMR and payer feeds nightly, outputting certified CMS reports. Result: 97 % faster report prep, zero audit findings, and productivity for billing staff.

Healthcare FinTech Startup

Client: Series-B lender offering receivables advances to nursing homes. Challenge: Inaccurate AR data from facilities’ elder care facility billing automation systems skewed risk scoring. Solution: Augmented FastAPI developers built a normalization layer using NumPy and Kafka streams that validates 835 files in real-time. Result: Approval decisions now process in under 90 seconds and default risk was cut by 21 %.

Book a 15-min call

120+ Python engineers placed, 4.9/5 avg rating. Schedule a quick discovery call and receive a curated candidate shortlist within 24 hours.
Стать исполнителем

Claims Pipeline Dev

Build & optimize 837I/837P flows—Celery workers, payer-specific mappers, and automatic retries that lift first-pass acceptance rates and slash AR days.

EHR Integrations

Python-powered HL7/FHIR bridges pull resident demographics, meds, and encounters directly into your billing stack, eliminating double-entry and PHI errors.

Reconciliation Engines

835 parsing & matching with pandas and SQLAlchemy delivers real-time payment status, aging dashboards, and denial root-cause analysis.

Compliance Reporting

Automate CMS, HIPAA, and state filings using pandas templating and secure SFTP jobs—audits become painless and fines disappear.

Predictive Denial AI

scikit-learn & TensorFlow models forecast claim denials, recommend fixes, and continuously learn from payer feedback.

Legacy Modernization

Refactor VB6/AS400 billing logic into modern Django/FastAPI microservices while maintaining uptime, ensuring a risk-free transition.

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