Data and AI infrastructure for value-based care and healthtech.

DATA4AI Consulting Inc. is a specialized healthcare AI and data consulting firm headquartered in Canada, founded by Guryash Singh Dhall. We help health systems, ACOs, physician enablement platforms, and healthtech companies build the data and AI infrastructure required for value-based care performance. EHR integration, FHIR API readiness, HCC risk adjustment automation, and AI-driven clinical workflows. We also serve manufacturing and supply chain clients with equivalent data and AI engineering work.

The CMS ACCESS Model is a value-based care program that requires participating providers to meet specific FHIR API, PROMs, and outcome-attainment data requirements. DATA4AI helps provider organizations assess FHIR API readiness, automate PROMs collection, and build outcome-attainment dashboards in advance of ACCESS Model participation or other value-based contracts.

We build NLP pipelines on Azure and Microsoft Fabric that surface unaddressed HCC codes from Epic and other EHR clinical notes pre-visit, improving coding accuracy and revenue capture for Medicare Advantage, MSSP, and commercial risk-bearing contracts. The output is a prioritized list of likely HCC conditions a clinician can confirm during the encounter rather than discovering retroactively.

Epic, Cerner (Oracle Health), and Meditech are our primary targets. We build FHIR-native pipelines and HL7 integrations that connect EHR clinical data with payer claims feeds, quality measures, and operational data, unified into a lakehouse that supports ACO dashboards, care gap analytics, HCC workflows, and population health reporting.

Healthcare and healthtech are our primary focus, hospitals, physician groups, ACOs, clinically integrated networks, physician enablement platforms, and healthtech startups building clinical, RCM, or population health products. We also serve manufacturing and supply chain clients with equivalent data and AI engineering, unified platforms, predictive analytics, demand forecasting, and AI-driven decision support.

DATA4AI Consulting is headquartered in Canada. We serve clients across Canada, the USA, and international remote engagements, with particular focus on US health systems, ACOs, and healthtech companies operating under value-based contracts.

DATA4AI is founder-led with senior practitioners on every engagement, no handoffs to junior staff. With 10+ years in data and AI and 6+ focused on healthcare delivery, clinical informatics, and EHR-driven workflows, we deliver end-to-end: from strategy and data architecture through implementation, deployment, and production monitoring. Measurable outcomes include up to 70% reductions in physician administrative effort and $4M+ in identified savings for client programs.

Value-based care (VBC) is a healthcare reimbursement model that pays providers based on patient outcomes and quality of care rather than the volume of services delivered. VBC contracts include Medicare Shared Savings Program (MSSP), Medicare Advantage, commercial risk-bearing arrangements, and programs like the CMS ACCESS Model. Performing well under VBC requires unified data across EHR, claims, and quality measures, which is what we build.

Hierarchical Condition Category (HCC) risk adjustment is the methodology CMS uses to set payments for Medicare Advantage and certain ACO and commercial risk-bearing contracts based on the documented health complexity of a patient population. Unaddressed HCC codes, chronic conditions documented in prior notes but not captured in the current year, cost provider organizations significant revenue. We build NLP pipelines that surface unaddressed HCCs from EHR clinical notes pre-visit so clinicians can confirm or rule them out during the encounter.

The CMS ACCESS Model is a CMMI value-based care program that requires participating provider organizations to meet specific FHIR API, patient-reported outcome measure (PROMs), and outcome-attainment data requirements. Participating organizations must demonstrate data interoperability readiness and build outcome-attainment dashboards tied to their quality measures. DATA4AI helps organizations assess FHIR readiness, automate PROMs collection, and build the data infrastructure required for ACCESS Model participation.

FHIR (Fast Healthcare Interoperability Resources) is an HL7 standard for exchanging healthcare data between systems. For ACOs, FHIR APIs are the primary mechanism for pulling clinical data from Epic, Cerner, and other EHRs into a unified analytics platform, enabling care gap analytics, quality measure reporting, HCC workflows, and CMS ACCESS Model readiness. Major EHRs expose FHIR R4 endpoints, and programs like the CMS ACCESS Model explicitly require FHIR API participation.

Population health analytics uses clinical, claims, and operational data to understand and improve health outcomes across a defined population, typically attributed members under an ACO, MSSP, or Medicare Advantage contract. It powers care gap identification, risk stratification, quality measure tracking, and targeted interventions. Production population health analytics requires a unified lakehouse combining EHR data (often via FHIR), payer claims, and quality measure outputs.