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Technical and Strategic Expertise

Sujansky & Associates is an independent consulting firm with no formal ties to software vendors or system integrators. At the same time, we have worked with many healthcare software products and maintain relationships with vendors and experts across the industry.

We have also developed software applications first-hand for clinical and biomedical environments. This combination of independence, industry knowledge and domain competence allows us to develop solutions that best meet our clients technical needs and budgets. As an independent firm, we can offer cost-effective consulting services in our areas of expertise:

Health Information Exchange (HIE)

  • Direct secure messaging
  • Cross-enterprise document sharing
  • Provider directories
  • HL7 messaging
  • Secure authentication/encryption
Data Integration, Registries, and Warehouses
  • Mapping and normalization of clinical data
  • Patient-identity matching
  • Extraction-transformation-loading
  • Disease-registry development
  • Data-warehouse schema design
Decision Support and Reporting
  • e-Prescribing
  • Clinical event monitoring
  • Blue button
  • Database/rules integration
  • Data analysis
Consumer Health
  • Personal health records
  • Collection/integration of data from home-monitoring devices
Controlled Medical Terminologies
  • ICD-10, LOINC, SNOMED-CT, RxNorm, etc.
Interoperability Standards
  • HL7 v2, C/CDA, IHE Framework, NCPDP SCRIPT
Product Management
  • Analysis of markets and competition
  • Product planning/roadmap
  • Requirements collection and documentation
Intellectual Property
  • Technical expertise for patent litigation
  • Expert witness services
The consultants at Sujansky & Associates have significant training and real-world experience in these areas.

To request more information, please contact us.





What is Clinical
Data Engineering?


CDE addresses the technical challenges of representing, exchanging, integrating and analyzing clinical data in
information systems.

Elements of the CDE discipline include clinical data modeling, messaging and terminology standards, heterogeneous data integration, and the abstraction and mapping of data to support analysis. CDE seeks to maximize the value of electronic clinical data to improve health care processes.