Compliance is staff hours. Custom automation is owned software.
State Medicaid reporting, HEDIS and STARS submissions, payer-specific prior authorization, survey readiness, QAPI cycles. Commercial vendors lag on the niche requirements that consume your staff hours. We build the audit-ready automation that makes the workload visible, the deadline manageable, and the regulator predictable.
Manual Hours Cut
GSA MAS Process
Entry-Point Pilot
By Architecture
Audit-ready compliance reporting across multi-EHR, multi-state networks
Manual reporting work, replaced with owned software that audits cleanly.
Healthcare compliance and quality automation replaces manual data collection, normalization, and reporting work with custom software. Targets include CMS quality measures, state Medicaid reporting formats, HEDIS and STARS measure submissions, payer-specific prior authorization workflows, survey readiness across multi-facility networks, and the QAPI cycles that connect quality data to operational improvement.
The architecture is audit-ready by design: end-to-end audit logging, role-based access, encryption, and a configurable rules engine that adapts to regulatory changes without a vendor support ticket. Custom is the right answer when your reporting requirements span more than the most common formats.
Compliance debt compounds. Manual workarounds rarely scale down.
Quality and compliance teams spend their days on data normalization, format translation, and report generation. Vendor tools handle the common cases. The expensive case is the niche requirement that nobody automates because the volume per requirement is small. Multiply by 30 niche requirements and the math is brutal.
Data Collection
Quality teams pull from multiple EHRs, normalize formats, and assemble reports by hand. The work is invisible until the deadline lands.
Format Variation
Medicaid reporting differs by state. Vendors prioritize the biggest. Your state may not be one of them, and the workaround sits on a quality director's desk.
Readiness Surprises
Deficiencies surface during the survey, not on a Tuesday dashboard. The cost of late discovery exceeds the cost of automation.
Trail Gaps
When the auditor asks for the source of a number, manual workflows often cannot produce a clean trail. Custom systems are designed to.
Compliance and quality wherever care happens.
Different settings have different reporting requirements, different surveys, and different payer rules. The platform model adapts to each. The audit discipline does not.
Skilled Nursing
MDS validation, state survey prep, quality measure submission, QAPI workflow automation.
Assisted & Independent Living
State licensure reporting, incident logs, resident rights audit trails, multi-property roll-up.
Home Health & Hospice
OASIS validation, HOPE submissions, condition-of-participation surveys, QAPI cycle automation.
Health Systems & Acute Care
Joint Commission readiness, CMS quality program submissions, state-mandated reporting, payer audits.
ACOs & Health Plans
HEDIS and STARS measure submission, gap-closure reporting, MA and ACO REACH attribution audits.
IDD Services
State waiver reporting, person-centered plan documentation, behavior incident audit trails.
Revenue Cycle Compliance
Payer prior authorization workflows, CARC/RARC denial taxonomy, billing audit readiness.
Behavioral Health & Multi-State Networks
State licensure tracking, multi-state Medicaid reporting, telehealth compliance audit trails.
Buy. Build. Partner.
Commercial compliance vendors handle the common requirements. Build-from-scratch is a long road. Partner is the lane DS was built for: you drive the regulatory model and own the IP, we bring data engineering, multi-EHR integration, and the audit discipline of regulated environments.
| Decision Lever | Buy (PointClickCare QAPI, HealthStream, Inovalon) | Build (Ground Up) | Partner with DS |
|---|---|---|---|
| Time to first automated report | Weeks for common reports | 12 to 18 months | $75K single-report pilot in 8 to 12 weeks |
| Niche requirement fit | Common cases only, niche on backlog | Exact fit, you carry all the risk | Exact fit on a configurable rules engine |
| Multi-EHR data normalization | Limited or vendor-specific | Yours to architect | Multi-EHR-native: PointClickCare and Gehrimed in production, Epic in R&D, Cerner, MatrixCare, Netsmart, Elation via FHIR/HL7/ADT |
| Audit trail completeness | Vendor-defined | Yours to design | Audit-ready by architecture, regulator-tested |
| Regulatory change adaptation | Vendor roadmap dependent | You own the change | Configurable rule sets, no vendor ticket required |
| Best fit for | Standard, single-state, common reports | Ventures with deep tech teams | Multi-state, multi-payer, niche reporting, audit-heavy operations |
Three layers, one audit trail.
Compliance and quality automation that holds up under audit has three layers. Skip any of them and you have a report nobody can defend when the regulator asks for the source.
Multi-EHR Data Normalization
Pulling clinical data from multiple EHRs and producing a single reporting-ready dataset. Identity matching, time alignment, code mapping, and the data lineage that makes audit trails credible.
Rules Engine
State-specific Medicaid formats, payer-specific prior authorization rules, HEDIS and STARS measure logic, and survey-prep workflows expressed as configurable rules, not hard-coded logic. Regulatory change becomes a config update, not a release.
Audit Trail & Submission
End-to-end logging of every input, transformation, and decision. Submission interfaces to the appropriate state, federal, or payer system. The story a regulator can follow from the source row to the submitted measure.
Professional Services or Venture Studio.
DS operates two business models. Compliance automation engagements typically begin in Professional Services with a single-report or single-measure pilot. Venture Studio applies when an operator's compliance approach is differentiated enough to be its own product line.
Build a custom compliance automation platform.
You operate the regulatory model. You own the rules. We engineer data normalization, rules engine, and audit-ready reporting. Milestone-funded with a single-measure or single-report pilot as the entry point and phased expansion across the report portfolio.
Typical engagement: $100K to $500K. ROI in 12 to 24 months. $75K single-measure or single-report automation as the entry point.
Co-build a compliance platform with equity alignment.
For operators whose compliance approach is competitive moat or licensable product, the Venture Studio path aligns incentives via equity or revenue share. We bring engineering and audit discipline, you bring the regulatory model, both sides have skin in the game.
Typical engagement: Equity or revenue-share aligned. Multi-year buildout. Designed for operators planning to license the platform externally.
Federal MAS. Regulated-industry audit. Healthcare integrations.
Compliance automation is an audit discipline before it is software engineering. Three distinct proof streams establish the baseline.
13-month federal compliance process.
Federal compliance depth measured in process completion: a 13-month GSA Multiple Award Schedule certification. The rigor that federal procurement applies maps directly onto the discipline that healthcare quality regulators expect.
Regulated-environment engineering.
Mission-critical operations compliance is the gold standard for regulated-environment engineering. Our work in this space built systems where audit trails, access controls, and operator decision logging are the product, not features.
Healthcare compliance-grade systems.
McKesson partnership: compliance-grade healthcare system integrations across multi-EHR environments. The data normalization and audit-ready architecture that quality reporting demands.
Compliance Automation Diagnostic
Before we build anything, we audit your current reporting workload, map the manual hours by report and frequency, and quantify what custom automation can recover.
What You Get
Reporting Workload Map
Manual hours by report type, frequency, facility, and report owner
Stack Audit
EHR, payer portal, state submission, and audit-trail integration gaps
Automation Candidate Ranking
Reports scored by hours saved, audit-risk reduction, and feasibility
Buy / Build / Partner Recommendation
With ROI projections, capital phasing, and CFO-grade business case
60 to 90 Day Pilot Plan
Tied to a single high-volume report or measure, $75K entry-point pricing
Audit-Trail Architecture Brief
Source-to-submission lineage requirements documented for engineering
EHR, payer, state, and federal: one normalized data layer
Compliance automation that ignores half the data sources is half a system. We have production experience integrating across the categories your quality team is already pulling from.
EHR Systems
PointClickCare and Gehrimed in production. Epic integrated in an R&D environment. Cerner, MatrixCare, Netsmart, and Elation via FHIR R4, HL7v2, and ADT.
State & Federal Submission
CMS, state Medicaid systems, HEDIS data feeds, clinical data registries. Format-correct, audit-traceable.
Payer Portals
Prior authorization, eligibility, ERA processing, plan-level coverage rules. Automated where the API allows.
Audit & Identity
End-to-end audit logging, role-based access, encryption at rest and in transit, BAA-ready cloud infrastructure.
EHR Integrations is the supporting capability that runs underneath every healthcare domain at DS. See the production EHR integration backbone →
We do not just build and hand off. We operate, support, and stand behind our work.
Discover
Reporting Workload Map. Manual hours by report and frequency.
Stack Audit. EHR, payer, submission integration gaps.
Experiment
Hypothesis & Scope. Highest-impact report becomes the pilot.
Build & Validate. Real source data, real submission, audit trail tested.
Engineer
Iterative Sprints. Quality team feedback every 2 weeks.
Systems Integration. EHR, payer, state submission interfaces.
Rules Engine Build. State, payer, and care-setting rule sets.
Production Deploy. Phased report rollout with audit verification.
Optimize
KPI Accountability. Hours saved, error rate, measure performance, validated by analyst.
Continuous Improvement. Regulatory updates as config, ongoing support.
Often combined with
Value-Based Care
HEDIS and STARS measure compliance is how VBC contracts get hit. Quality automation is the data path.
Learn more →Revenue Cycle AI
Payer prior authorization and billing audit trails sit in the revenue cycle. Compliance and RCM share data engineering.
Learn more →MDS / PDPM
MDS validation is a compliance task with revenue consequences. Audit-ready submission protects both.
Learn more →Healthcare Data Engineering
The capability layer underneath compliance automation. Multi-EHR data normalization at scale.
Learn more →EHR Integrations
The supporting capability that runs underneath every domain. Bidirectional FHIR/HL7 in production.
Learn more →From the field.
Why Most Healthcare Apps Fail HIPAA Compliance
The architectural patterns that fail audit and the ones that pass.
HIPAA Compliance in Cloud Services
What BAAs cover, what they do not, and where most teams cut corners.
AI for HEDIS Social-Need Screening
How AI tools can support the SNS-E measure without breaking audit trails.
Frequently Asked Questions
Common questions about custom healthcare compliance and quality automation.
DS works as a Professional Services build partner or as a Venture Studio with equity-aligned partnerships, accelerators, and operator-founder programs. The right model depends on whether you own the IP, share it, or license ours.
See all engagement models →Ready to make compliance work measurable instead of invisible?
Start with a Compliance Automation Diagnostic. 2 to 3 weeks. We will map your reporting workload, audit your stack, and recommend buy, build, or partner with hard ROI numbers.
Or call: 404.654.3855