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FOR HEALTH SYSTEMS · LIFE SCIENCES · PUBLIC HEALTH PROGRAMS
Analysis of electronic health record, claims, registry and program data — from data quality and cohort definition to outcomes analysis and reporting that decision-makers can rely on.
Profiling completeness, consistency and plausibility of clinical and surveillance data before it is used for decisions.
Reproducible cohort definitions, inclusion and exclusion logic, and documented data lineage.
Combining multi-site and multi-source data into consistent, analysis-ready datasets.
Longitudinal, survival and comparative analyzes of patient outcomes, retention and service use.
Observational study design and analysis using routinely collected data, with attention to bias and confounding.
Clear, Section 508-conscious reporting of results for clinical, program and executive audiences.
Encounter, diagnosis, lab, medication and visit-timing data.
Utilization, cost and enrollment data for outcomes and economic analysis.
Disease registries, surveillance systems and program monitoring data.
A short conversation to understand your question, data and deadline.
A written analysis or evaluation plan with methods, deliverables and timeline.
Analysis by senior specialists, with reproducible code and clear documentation.
Help interpreting results, responding to reviewers and preparing outputs.
No. We add specialist depth for specific projects — such as a study, an evaluation or a data-quality review — and work alongside your team.
Yes. We can work within your approved environment and data governance rules, and under your data use agreements.
Health and clinical data is our demonstrated domain, and our methods apply to program and administrative data in other sectors as well.
Work with SmartDaaS
SmartDaaS is a principal-led firm. Every engagement is directed by the principal and staffed with the senior specialists it needs from our network of biostatisticians, epidemiologists, health economists, data scientists and clinicians.
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