/ Healthcare & Life Sciences
Healthcare technology with compliance built in
HIPAA-compliant data platforms, EHR and FHIR integration, and claims analytics for providers, payers, and life sciences. We unify clinical and claims data under controls that satisfy HITRUST assessors, and we govern the AI that reads it.
- HIPAA and HITRUST controls
- 4h claims, down from 72
- FHIR and HL7 integration
- ISO 27001
4h claims processing
Down from 72, with AI document automation.
Why care data stalls
Twelve systems.
One patient.
Clinical data lives in the EHR, claims in another system, labs and devices in their own silos, and every one of them holds a piece of the same patient. Coordinated care needs one governed record, under controls an assessor will actually sign off on. We build that record and keep it current.
4hClaims processing, down from 72
Eligibility verification automated for a national healthcare provider, with document AI reading claims at 88% automated accuracy.
Read the case study
/ What we build for healthcare
From the record to the outcome.
Healthcare technology pointed at the measures you already report: HEDIS scores, readmission rates, denial rates, days in A/R.
01
Clinical data integration
Epic, Cerner, and other EHRs integrated through FHIR APIs and HL7 feeds into one governed platform. Clinical, claims, and operational data share a single patient view instead of twelve.
FHIRHL7AWSSnowflake
AWS
Snowflake02
Population health analytics
Risk stratification, care gap identification, and outcome prediction on the unified record. The at-risk list updates from live data, not last quarter’s extract.
DatabricksMLflowPower BI
Databricks
MLflow
Power BI03
Research and life sciences data
Unified research platforms with automated lineage for discovery teams. One pharmaceutical engagement cut data access time 24%, doubled researcher productivity, and held 100% lineage compliance.
DatabricksDelta LakeAirflowPython
Python04
Claims and revenue cycle analytics
Automated claims analysis, denial prediction, and payment optimization aimed at the numbers the revenue cycle team already argues about: denial rates and days in A/R. Document AI took one provider from 72-hour claims processing to 4.
PythonKafkaSnowflake
Kafka05
HIPAA-compliant cloud
Healthcare workloads moved to cloud landing zones with encryption, least-privilege access, BAA coverage, and audit logging designed in. Audit ready is the default state, not a project.
AWSAzureAudit logging
Azure06
Clinical decision support AI
Models that assist clinicians with diagnosis support, treatment recommendations, and alert optimization, governed with a registry and documented evaluation. Anything that touches a care decision gets human review before it ships.
MLflowModel registryEvaluation
/ Compliance
Built for the assessor.
The frameworks our healthcare work is delivered against. When an assessor asks who touched a record and when, the answer is a query, not a week of meetings.
HIPAA
Health data privacy
HITRUST
Security framework
SOC 2 Type II
Security controls
FDA 21 CFR Part 11
Electronic records
GDPR
EU data protection
GxP
Pharma quality standards
/ Results
Measured in production, not pilots.
Fortune 500 Healthcare Client
85%Workload Migration Success Rate
ACI Infotech Powers Enterprise Cloud Modernization with Proven Excellence
Read the case study
Fortune 500 Healthcare Client
$1.8MAnnual Infrastructure Cost Savings
A Global Healthcare Provider Gains Agility and Savings with ACI Cloud Transformation
Read the case study
Fortune 500 Healthcare Client
68%Reduction in Patient Data Processing Time
Driving Productivity and ROI Through a Strategic Salesforce Migration
Read the case study/ How an engagement runs
Five phases. No mystery.
01
Assess
Map the systems, the PHI flows, and the compliance obligations. Pick the first use case that moves a measure you already report.
02
Design
Platform architecture and controls mapped to HIPAA and the HITRUST CSF, with de-identification decided up front, not discovered later.
03
Integrate
EHR, claims, and operational feeds wired in through FHIR and HL7. The unified record starts building from the first sprint.
04
Validate
Reconcile against source systems and walk the controls with your compliance team. A first working use case, like denial analysis, lands inside the 10 to 14 weeks we quote.
05
Run
Around-the-clock operations under SLA, with audit evidence coming out of normal operations instead of a scramble before the assessment.
The record is ready. Now the models.
Once clinical and claims data share one governed platform, the AI work gets real: denial prediction, risk stratification, document automation. Our applied AI practice builds those models with the registry, evaluation, and human review that clinical data demands.
Applied AI & ML/ Why ACI
Why healthcare organizations build with us
/ Compliance
Delivery mapped to HIPAA, the HITRUST CSF, FDA 21 CFR Part 11, and GxP.
Controls are designed in from day one.
/ Interoperability
FHIR and HL7 integration across Epic, Cerner, and the systems around them.
One patient view instead of twelve.
/ Scale
Founded 2006.
1,200+ engineers across 11 global delivery hubs. 500+ enterprise projects.
/ Operations
ISO 27001 certified and CMMI Level 3 appraised, with 24/7 managed operations under published SLAs.
From the blog
Data Engineering
Unified Data Platforms Driving Better Healthcare Outcomes
Learn how a Unified Healthcare Data Platform connects EHR, claims, and operational data to enable interoperability, analytics, and AI-driven outcomes.
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Applied AI & ML
Top 6 AI-Powered Healthcare Solutions: The Ultimate Tech Guide (2026)
Discover 6 AI-powered healthcare solutions for 2026 - clinical decision support, imaging AI, AI scribes, RCM automation, personalization, and virtual assistants - with KPIs and rollout tips.
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Insights
Sovereign Cloud in Healthcare | Compliance & Innovation
Discover how sovereign cloud helps healthcare organizations stay HIPAA/GDPR compliant, reduce data breach costs, and accelerate AI-driven patient care.
Read/ Healthcare FAQ
Healthcare questions,
answered straight.
How do you handle HIPAA and HITRUST compliance?
Controls designed in from day one: encryption, least-privilege access, BAAs, and audit logging mapped to HIPAA and the HITRUST CSF. When an assessor asks who touched a record and when, the answer is a query, not a week of meetings.
Can you integrate EHR data through FHIR?
Yes. We integrate Epic, Cerner, and other EHRs through FHIR APIs and HL7 feeds into one governed platform, so clinical, claims, and operational data share a single patient view instead of twelve.
How long does a claims analytics project take?
A governed claims dataset and a first working use case, like denial analysis, in 10 to 14 weeks. We start with the number the revenue cycle team already argues about, then expand from there.
How do you govern AI on clinical data?
De-identification where it belongs, a model registry, documented evaluation, and human review for anything that touches a care decision. If a model cannot explain itself to a clinician, it does not ship.
Which healthcare metrics can this actually move?
The ones you already report: readmission rates, HEDIS measures, denial rates, days in A/R. We pick one per phase and measure against your baseline, not an industry brochure.