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Real-time dashboards pulling from EHR Observation and Diagnostic Report FHIR resources. CMOs and clinical leads see quality metrics, readmission rates, and care gap data without waiting for monthly spreadsheets.
Automated submission pipelines for HEDIS, MIPS, and CMS Promoting Interoperability measures. Systems map clinical data to LOINC and SNOMED CT codes and generate measure-ready files on schedule.
RCM reporting covering denial rate, days in AR, clean claim rate, and payer mix. Data sourced from billing platforms and claims feeds via FHIR R4 Claim and Explanation of Benefits (EOB) resources.
Risk stratification dashboards aggregating EHR, lab, pharmacy, and SDoH data. Used by ACOs and value-based care programs to identify care gaps and manage high-risk patient cohorts.
Analytics across payer contracts, performance metrics, and network utilization. Helps CFOs and VP Analytics teams benchmark reimbursement rates and negotiate with evidence behind them.
Reporting across staffing, scheduling, bed occupancy, supply chain, and department-level cost. Built on custom healthcare business intelligence software integrated with existing hospital management platforms.
Stop pulling data manually. Let's build a reporting infrastructure that works at scale.
Talk to Our TeamYour organization generates enormous volumes of clinical and operational data every day. The problem is that it lives in a dozen different systems that were never designed to talk to each other. Epic holds your clinical records. Your billing platform tracks RCM. Your lab system runs on a separate feed. Your payer contracts live in spreadsheets.
When leadership asks for a report, someone on your team spends three days extracting, reconciling, and formatting data from all of them. By the time it lands in the board presentation, it’s already two weeks old.
Organizations that have built unified reporting infrastructure using FHIR R4-native data pipelines and automated ETL layers operate differently. Their executives ask a question and get an answer the same day. Their compliance submissions run on schedule without a manual extraction cycle. Their population health teams monitor patient cohorts in real time, not retrospectively.
The gap between those organizations and yours is not the data. It’s the architecture.
ELT pipelines that extract from EHRs, HIEs, and claims platforms using FHIR R4 and HL7 US Core IG STU 6.1.0. Data arrives normalized, terminology-mapped, and analytics-ready without manual intervention.
Pre-built measure logic for HEDIS, MIPS, and CMS Interoperability submissions using CQL (Clinical Quality Language). Automated filing replaces the manual extraction cycle that consumes analyst time every quarter.
Dashboards scoped by role: clinical quality for CMOs, financial performance for CFOs, operational throughput for COOs. Built on Tableau, Power BI, or Looker depending on your existing stack.
An LLM layer sits on top of your FHIR-native data warehouse, letting clinical and operational users ask questions in plain language and receive accurate, query-backed answers without writing a single SQL query.
Full audit logging on every data access, query, and export event. Attribute-based access controls and OAuth 2.0/SMART App Launch v2.0.0 authentication baked into the architecture from day one.
Native connectors to Epic, Oracle Health (Cerner), eClinicalWorks, Athenahealth, plus claims platforms, lab feeds, and HIE networks using HL7 v2, FHIR R4, and X12 EDI where required.
Reporting platforms range from $50,000 for a focused single-source pipeline and dashboard layer to $200,000+ for enterprise-grade multi-system integrations with regulatory automation and an AI querying layer. Discovery scoping nails down the number for your specific environment.
Epic, Oracle Health (Cerner), eClinicalWorks, Athenahealth, Meditech via FHIR R4 and HL7 v2 APIs
Claims data via X12 EDI, remittance data, prior authorization feeds aligned with CMS FHIR API mandates
HL7 v2 ORU messages and FHIR DiagnosticReport resources from major lab systems and LIS platforms
State HIE participation, TEFCA-aligned data exchange, immunization registries, and public health reporting
Kareo, AdvancedMD, Epic Resolute, and standalone billing platforms via API or structured file feeds
Claims-adjacent SDoH data, zip-level benchmarks, and patient-reported outcomes for population health programs
Citrusbug reporting systems are designed from the data layer up to be FHIR-native and compliance-ready, not to be retrofitted later.
We inventory every data source your organization relies on: EHRs, payers, labs, billing platforms, and supplemental feeds. We identify what is already structured, what requires transformation, and what compliance obligations (HEDIS, MIPS, CMS mandates) need to be built into the pipeline architecture from the start.
Our engineers design the full data architecture: FHIR R4 extraction layer, ETL/ELT transformation logic, data warehouse schema, and access control model. Compliance requirements including HIPAA audit trail, USCDI v3 data elements, and ONC HTI-1 interoperability metrics are mapped to specific system components before any build begins.
We build and test connectors to each source system. For EHR platforms, this means SMART on FHIR authentication, FHIR Bulk Data Access (Group-level export), and terminology mapping against LOINC, SNOMED CT, and ICD-10. For payer and claims sources, X12 EDI parsing and FHIR R4 Claim resource mapping are handled at the integration layer.
Custom ELT pipelines run extraction, validation, terminology normalization, and delivery to the analytics data store. We run volume testing against realistic data loads, typically hundreds of millions of clinical records, to confirm the system performs at production scale before go-live.
HEDIS measures, MIPS performance categories, and CMS Interoperability submissions are implemented using CQL logic tied to your normalized data. Automated scheduling handles quarterly and annual filing windows. Outputs are auditable and submission-ready, replacing the manual analyst extraction cycle.
Role-specific dashboards are built, validated with clinical and operational stakeholders, and tuned for the user populations that need them: CMOs reviewing quality metrics, CFOs tracking revenue cycle management analytics, and operational leaders monitoring department throughput. The AI natural language layer is configured and tested against your actual data.
We deliver complete documentation, data dictionaries, and pipeline runbooks. Your team gets structured training on the dashboard layer and administrative controls. Post-launch SLA support covers L1 through L3 with defined response windows for pipeline failures, data anomalies, and reporting discrepancies.
Scope assessment of your existing data sources, reporting gaps, and compliance posture. Delivered as a written architecture recommendation and roadmap.
Full design and development of your reporting infrastructure from data pipelines through dashboards and regulatory submissions.
End-to-end reporting, population health analytics, and AI-powered querying built as a long-term delivery program with embedded engineers.
Healthcare organizations face mandatory reporting obligations that carry real penalties for failures. HEDIS and MIPS submissions affect Star Ratings and Medicare Advantage contract performance. CMS Interoperability rules and USCDI v3 requirements set baseline data standards that certified health IT must meet. The ONC HTI-1 Final Rule introduced interoperability metrics reporting obligations that began in 2026 for large EHR developers.
Citrusbug builds reporting systems where compliance is a structural component, not an add-on. HIPAA audit trails, SMART App Launch v2.0.0 authentication, role-based access controls, and automated measure generation are designed into the architecture from day one, including in our healthcare automation solutions that connect reporting to downstream workflows.
Our healthcare reporting systems are production-grade, standards-compliant, and built to handle real data volumes across complex multi-system environments.
Pipelines extract, validate, and normalize data from FHIR R4 and HL7 v2 sources at scale, processing billions of clinical and financial records with full terminology mapping to LOINC, SNOMED CT, and ICD-10.
CQL-based measure logic auto-generates HEDIS and MIPS submissions from normalized clinical data, replacing the quarterly manual extraction cycle that consumes weeks of analyst time.
A natural language querying layer on top of your FHIR data warehouse lets clinical and financial leaders ask questions directly and receive auditable, data-backed answers without SQL or analyst intermediaries.
Native connectors to Epic, Oracle Health (Cerner), eClinicalWorks, Athenahealth, and Meditech built through rigorous healthcare API integration patterns, handling both FHIR R4 and legacy HL7 v2 message formats.
Every reporting system we build is designed around FHIR R4 APIs and USCDI v3 data elements from the start, so your pipelines are compliance-ready as mandates evolve.
HIPAA audit trails, SMART App Launch v2.0.0 authentication, and ONC interoperability metrics are structural features in every system we deliver, confirmed through our ISO 27001 certification.
You see the engineers building your reporting system before you sign. No rotating teams or offshore handoffs mid-project.
Our team has delivered reporting systems covering HEDIS quality measures, denial rate and days-in-AR tracking, and population risk stratification for health systems and ACOs.
Full code ownership at delivery with complete documentation, data dictionaries, and pipeline runbooks. No license dependency on the system you paid to build.
Requirements documentation, data source mapping, and architecture design happen before any pipeline development begins, through the same healthcare IT consulting methodology applied across our healthcare practice.
Their agile way of working, competence, and friendliness are impressive.December 7, 2024
Citrusbug Technolabs handles a data extraction project for an education company. They're also responsible for managing an AI generation project for the client.
Citrusbug Technolabs has laid out and followed a clear project outline and consistently met deadlines. The team communicates well and demonstrates a strong understanding of the client's vision and goals. Their agile approach, high level of competence, and personable approach stand out.
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Their communication and ability to capture exactly what I was asking for were impressive.November 14, 2024
Citrusbug Technolabs built an automated system for a veteran medical company. The system needed to collect and store user data, generate customized letters based on surveys, and use AI to summarize reviews.
Citrusbug Technolabs delivered a functional automated system that successfully organized the client's records and auto-generated statements. The team was quick to respond, addressed all roadblocks, and communicated effectively. Overall, their ability to understand the client's needs stood out.
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They were very calm and talented, and they did bring some of their own ideas.January 28, 2025
Citrusbug Technolabs has developed an MVP for a freight and capacity marketplace. The team has created three different interfaces for three market segments.
Citrusbug Technolabs has successfully developed an effective MVP. The team has delivered the project on time and almost within budget. Moreover, their responses have been timely. Overall, the team has been calm, talented, and innovative. This has led to the client's satisfaction.
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What stood out most about them was their personalized approach and sense of ownership in every aspect of the project."February 27, 2024
Citrusbug Technolabs built a Flutter cross-platform mobile app for an education company. They also developed two web apps and an admin panel and provided DevOps support for the client's infrastructure.
Citrusbug Technolabs' support successfully boosted the client's user engagement by 8x, resulting in an 85% retention rate. The reliable team demonstrated a dedication to delivering on time and promptly responding to concerns and adjustments. Their personalized, client-centric approach stood out.
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They didn't like the phrase "impossible to do", which made them very solution-oriented.February 19, 2024
A healthcare company hired Citrusbug Technolabs to design and develop a user-friendly application. The team provided tailored assistance to meet the client's requirements.
Citrusbug Technolabs successfully delivered an application that was ready for market. The team was highly professional and well-organized; they stayed focused throughout the engagement and were receptive to changes. Overall, they stood out for their trustworthiness and commitment to excellence.
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They're 100% on time and transparent throughout each stage of the project.February 24, 2024
A financial technology company has hired Citrusbug Technolabs to build a custom web application. The team handles the development and design of the app.
The project is ongoing, but the client has been satisfied with Citrusbug Technolabs' services. The team is very professional — they always respect timelines and provide regular updates to ensure everyone's on the same page. Also, their transparent approach makes them a trustworthy partner.
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"I do believe they are exceptional at where they stand."
Citrusbug Technolabs took on a mobile app development project for a Singapore-based development house. They were provided with UX designs to execute. Currently, they're finalizing and fine-tuning the product.
Citrusbug Technolabs contributed to the successful launch of the product, which has garnered over 10,000 users in just three months. The product has also received support from investors. They consistently followed-up with their progress and delivered at a speedy rate. The team is truly stellar.
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Built for providers and researchers, it supports early detection, predictive insights, and smarter treatment planning.
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We have developed a state-of-art wellness platform for Mediyoga.
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Day One is a journaling app developed by Citrusbug Technolabs for iPhone, iPad, and Mac devices.
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Read Article →Scope determines timeline. A focused reporting pipeline for a single data source and dashboard layer typically takes 8-14 weeks. Multi-system integrations with regulatory reporting automation run 4-6 months. We define scope and timeline in the discovery phase before any development begins.
Epic, Oracle Health (Cerner), eClinicalWorks, Athenahealth, Meditech, and Allscripts via FHIR R4 APIs and HL7 v2 ORU and ADT message formats. Legacy systems without FHIR support are connected via structured file feeds or custom integration engines.
Yes. We implement CQL-based measure logic that maps to your normalized clinical data and generates HEDIS and MIPS measure files automatically, aligned with payer contract reporting windows and CMS submission schedules.
We deploy an LLM layer configured to your FHIR-native data warehouse schema. Clinical and operational users query in plain language and receive data-backed answers with traceable sources. All queries are logged for HIPAA audit purposes.
Yes. Pipelines extract the 47 USCDI v3 data elements and support the FHIR-based interoperability metrics required under ONC HTI-1, including FHIR Bulk Data Access and SMART App Launch v2.0.0 authentication.
We map every data source your reporting system needs to ingest: EHRs, payers, labs, billing platforms, registries, and SDoH feeds. We document data formats, API availability, volume, and quality before architecture design begins.
In most cases, yes. We audit your existing architecture, identify components worth preserving, and migrate or wrap them into a modern FHIR-native layer. Rebuilding everything from scratch is rarely necessary.
You do. Full source code ownership, documentation, and data dictionaries are transferred at delivery. We offer SLA support for L1 through L3, but you are never dependent on us to run the system.
