Études de Cas

Real Results for New Jersey Healthcare Providers

Every engagement starts with a discovery phase to understand the specific operational, compliance, and technology challenges a provider faces. Below are three representative projects—anonymized to protect client confidentiality—that illustrate how Via Lucra delivers measurable outcomes for Medicaid providers in New Jersey.

Our Engagement Approach

Via Lucra follows a four-phase delivery model for every project: Assess (map current workflows, data flows, and pain points), Design (architect the solution with the provider's team, ensuring alignment with NJ Medicaid rules and HIPAA requirements),Build (implement incrementally with weekly demos so nothing is a surprise), andTransfer (deliver documentation, training, and full source code ownership so the provider's team can operate and extend the system independently). The case studies below follow this progression from problem identification through measurable results.

Case Study 1MLTSS Home Care

Reducing EVV Claim Denials by 74% for an MLTSS Home Care Agency

A mid-size New Jersey MLTSS home care agency serving 320+ members across Bergen, Passaic, and Essex counties.

!The Challenge

The agency was processing Electronic Visit Verification through a combination of HHAExchange manual entries and paper timesheets. Caregivers frequently forgot to clock in using the mobile app, leading to missing GPS coordinates. Billers spent an average of 12 hours per week reconciling EVV exceptions before submitting claims to Conduent. Denial rates hovered around 18%, primarily due to mismatched visit times, missing member IDs, and late submissions. The agency had already received a corrective action letter from the MCO warning that continued denial rates above 10% could trigger contract review.

The Solution

Via Lucra conducted a two-week discovery engagement that mapped every step of the visit-to-claim lifecycle. We identified three root causes: (1) caregivers were not trained on the HHAExchange mobile app's offline mode, causing data gaps in low-signal areas; (2) the biller had no automated way to flag visits where clock-in and authorization windows didn't overlap; (3) there was no pre-submission validation against the 837P format requirements. We built a Python-based reconciliation pipeline that pulls EVV data from HHAExchange via API, cross-references it with authorization records from the agency's care management system, and generates a nightly exception report. Visits with time discrepancies greater than 15 minutes, missing GPS data, or mismatched procedure codes are flagged for review before claims are batched. We also created a caregiver training module covering offline clock-in, GPS permissions, and common error scenarios.

Measurable Results

  • Claim denial rate dropped from 18% to 4.7% within 90 days
  • Weekly biller reconciliation time reduced from 12 hours to under 3 hours
  • MCO corrective action was lifted after two consecutive clean audit months
  • Pre-submission validation catches an average of 23 exceptions per week before they become denials
  • Agency retained full ownership of the reconciliation codebase and runs it on their own AWS account

Technology Stack

PythonHHAExchange APIAWS LambdaAmazon S3CloudWatch Alarms

Timeline

10 weeks from discovery to production

Case Study 2DDD Group Homes

Eliminating Authorization Overruns for a DDD Residential Provider

A DDD-licensed residential provider operating 14 group homes across Middlesex, Somerset, and Union counties, supporting 58 individuals with intellectual and developmental disabilities.

!The Challenge

The provider tracked DDD Individual Service Plans and unit authorizations using a shared Excel workbook maintained by three program coordinators. Each ISP specifies a monthly allocation of authorized units for services like Community-Based Supports, Career Planning, and Behavioral Supports. When staff delivered services, hours were logged in a separate timesheet system that had no connection to the authorization tracker. At least twice per quarter, the agency discovered—after the fact—that they had delivered services beyond the authorized units for specific members. These overruns were unrecoverable: the state does not reimburse for units delivered above the ISP ceiling unless a prior authorization amendment was approved. Over the previous fiscal year, the agency estimated $47,000 in unreimbursed services due to authorization overruns and late amendment requests.

The Solution

Via Lucra replaced the shared Excel workbook with a structured authorization tracking system built on a PostgreSQL database with a lightweight Next.js admin interface. Each member's ISP is entered with their authorized service categories, monthly unit caps, and effective dates. As staff log hours, the system calculates remaining units in real time and triggers alerts at 75% and 90% utilization thresholds. Program coordinators receive a weekly digest showing all members approaching their unit ceilings, giving them time to request authorization amendments from the DDD case manager before overruns occur. We also built a historical reporting module that shows utilization trends by member, service category, and group home—giving the executive team visibility into which homes are consistently under- or over-utilizing their authorizations.

Measurable Results

  • Zero authorization overruns in the first two full quarters after deployment
  • Estimated $47,000+ in annual savings from prevented unreimbursed service delivery
  • Amendment requests now submitted an average of 11 days before unit exhaustion, up from 2 days after
  • Program coordinators reduced authorization tracking time from 6 hours per week to under 45 minutes
  • Executive team uses utilization dashboards for staffing and budget forecasting

Technology Stack

Next.jsPostgreSQLPrisma ORMAWS ECS FargateAmazon SES

Timeline

8 weeks from requirements to go-live

Case Study 3Multi-Site Home Health

HIPAA-Compliant Cloud Migration for a Growing Home Health Agency

A home health and personal care agency with 5 branch offices across northern New Jersey, employing 180+ caregivers and serving both Medicaid and private-pay clients.

!The Challenge

The agency had grown through acquisition, inheriting three different technology stacks across its branch offices. Patient records lived in a mix of on-premise servers, desktop applications, and cloud-based systems with inconsistent security controls. A HIPAA risk assessment revealed critical gaps: PHI was transmitted via unencrypted email between branches, two servers lacked current patch levels, backup procedures were undocumented, and there was no centralized audit log showing who accessed patient records. The agency's compliance officer flagged these findings ahead of an anticipated state survey and gave the IT team six months to remediate. The internal IT staff of two people lacked cloud and security expertise to execute the remediation independently.

The Solution

Via Lucra designed and implemented a consolidated cloud infrastructure on AWS that brought all five branches onto a single, HIPAA-aligned platform. We started with a thorough inventory of all systems touching PHI, mapping data flows between branches, external partners (MCOs, clearinghouses, labs), and state systems. The architecture centered on a landing zone pattern: a dedicated AWS Organization with separate accounts for production, staging, and shared services. All PHI storage uses AES-256 encryption at rest via AWS KMS with customer-managed keys. Data in transit is enforced through TLS 1.2+ with certificate pinning for API integrations. We deployed a centralized logging stack using CloudTrail, VPC Flow Logs, and GuardDuty findings aggregated into a Security Hub dashboard that the compliance officer reviews weekly. Access controls follow role-based patterns through AWS IAM Identity Center, with MFA enforced for all users accessing PHI systems. We wrote Terraform modules for the entire infrastructure, enabling repeatable deployments and drift detection. The team also received 16 hours of hands-on training covering incident response procedures, log review workflows, and infrastructure change management.

Measurable Results

  • All five branches consolidated onto a single HIPAA-aligned AWS platform within 5 months
  • Passed state survey with zero PHI-related findings for the first time in agency history
  • Centralized audit logging reduced compliance officer review time from 20 hours per month to 4 hours
  • Mean time to detect unauthorized access attempts improved from "unknown" to under 15 minutes via GuardDuty alerts
  • Infrastructure-as-code coverage reached 100%, eliminating configuration drift across environments
  • Agency IT team independently manages day-to-day operations using runbooks and SOPs delivered during knowledge transfer

Technology Stack

AWS OrganizationsTerraformAWS KMSCloudTrailGuardDutySecurity HubIAM Identity CenterS3RDS PostgreSQL

Timeline

20 weeks from assessment to full production cutover

Patterns Across Our Engagements

While every provider's situation is different, we consistently see a few themes in the NJ Medicaid provider landscape that drive the outcomes above:

Spreadsheets as Systems of Record

Most agencies we work with are tracking authorizations, visit reconciliation, or compliance tasks in Excel. These workbooks grow until they break—formulas become fragile, version control is impossible, and there's no audit trail showing who changed what and when.

Reactive Compliance

Providers discover compliance gaps after a denial, a survey finding, or a corrective action letter. Via Lucra builds proactive monitoring—threshold alerts, pre-submission validation, and continuous audit trails—so problems surface before they cost money.

Vendor Lock-in Anxiety

Agencies have been burned by vendors who charge for every customization and hold data hostage. Every Via Lucra deliverable includes full source code, infrastructure-as-code templates, and documented APIs. The provider owns everything we build—no recurring license fees, no export restrictions.

Knowledge Concentration Risk

Critical operational knowledge often lives in one person's head. Our knowledge transfer phase systematically documents workflows, decision trees, and troubleshooting procedures so the agency isn't dependent on any single individual—including us.

Architecturons l'avenir ensemble

Every case study above began with a 30-minute discovery call. Whether you're dealing with EVV denials, authorization tracking gaps, or HIPAA remediation deadlines, we'll map your situation and outline a concrete path forward—no obligation.

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