Healthcare Data Management and Analysis

Identify, document, and resolve data quality issues in clinical datasets — ensuring accuracy, completeness, and compliance across EHR and clinical trial data systems.

Apply clinical NLP methods to extract structured data from unstructured clinical text — supporting EHR data mining, phenotyping, cohort identification, and clinical decision support.

Design and manage clinical disease registries and specialty society data programs — ensuring data completeness, submission compliance, and analytical readiness for outcomes and quality reporting.

Manage clinical trial data from collection to submission — designing CRFs, data validation plans, and CDISC-compliant datasets for regulatory submissions and research integrity.

Plan and execute EHR-to-EHR data migrations — mapping clinical data structures, managing legacy system extracts, and ensuring data integrity and continuity across system transitions.

Design enterprise clinical and operational data warehouse architectures for health systems — enabling analytics, reporting, and data integration across EHR, claims, and administrative sources.

Analyze healthcare cost, utilization, and resource use data to support budget impact models, cost-effectiveness analyses, and value-based care financial performance reporting.

Build healthcare BI dashboards, clinical operational reports, and analytics pipelines — translating complex health system data into actionable insights for clinical and executive audiences.

Design and validate HIPAA-compliant healthcare data de-identification pipelines — applying Safe Harbor and Expert Determination methods for research, analytics, and data sharing use cases.

Build and manage healthcare data governance frameworks — defining data ownership, access policies, stewardship roles, and compliance standards for health systems and research organizations.

Design and document HL7 FHIR, HL7 v2, and healthcare data exchange solutions — enabling reliable interoperability between EHR systems, APIs, and clinical data repositories.

Design and analyze real-world evidence studies using EHR, claims, and registry data — supporting post-market surveillance, comparative effectiveness, and health technology assessment.

Analyze healthcare data workflows for HIPAA Privacy and Security Rule compliance — supporting risk assessments, PHI data mapping, access control audits, and breach risk analysis.

Support accurate ICD-10, CPT, SNOMED CT, and LOINC coding workflows — improving reimbursement accuracy, clinical data consistency, and coding compliance across healthcare settings.

Analyze patient outcomes data to measure care quality, treatment effectiveness, and population health metrics — supporting clinical improvement and value-based care reporting.

Manage and analyze population health datasets to identify care gaps, risk stratify patient panels, and support chronic disease management and preventive care programs.

Integrate genomic, clinical, and multi-omics data for precision medicine programs — designing data pipelines, variant data management workflows, and phenotype-genotype linkage architectures.

Integrate and analyze social determinants of health data to identify patient needs, address care disparities, and support community health improvement programs and value-based care initiatives.

Manage and analyze telehealth program data — tracking utilization, patient engagement, clinical outcomes, and technical performance metrics to optimize virtual care delivery operations.

Analyze quality, cost, and utilization data for ACO and value-based care contracts — tracking shared savings performance, quality measure benchmarks, and attribution-adjusted financial outcomes.