Data Transformation
- Legacy data migration
- Concept mapping to standard code sets (e.g. SNOMED CT, ICD9CM etc.)
- SNOMED CT Education and Training
- Taxonomy development and data dictionary evaluation
- Content modeling/clinical data representation/database design
- Transforming interface terminology into machine-readable terminology
- Data migration transition planning
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Use Case Analysis
- Assessing business goals and priorities
- Data source evaluation
- Building high-value queries from available data sets
- Migrating to standards for compliance and interoperability
- Assure that available data will answer the research questions
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Stakeholder engagement
- Interfacing between IT professionals and clinicians/scientics
- Obtaining concensus before execution
- Business development support
- Contract writing - RFPs and business documentation
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Business Optimization
- Requirements analysis and documentation
- Information Flow Analysis
- Migrations strategies
- Risk avoidance= analysis of healthcare products and partnerships
- Introduction to new markets and project opportunities
- Engaging consumers
- Education and Training
- Industry Research
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Industry-specific
- BioPharma
Evaluation of data sources from prospective partners
Partner collaboration strategies
Data collection for clinical trials
Harmonization of data elements across CROs/data re-use
Linking clinical trial data with EHR data elements (MedDRA vs SNOMED CT)
Post marketing surveillance; outcomes studies,
- Payer
Clinical Care Coordination
Determining Quality and Performance Measures from billing data (HEDIS vs new measures
Augmenting billing data for chronic disease management
- Provider
Semantic mapping of clinical terminology
Interpreting quality measures from available data elements
Specialty-specific requirements inclusion for EHR selection
- Public Health
Disease registries
Data specifications for reporting
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Web-related
- Clinical web design
- Log file analysis of consumer inputs
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