Consultancy Services

Consultancy Services

ClinLine is a consultancy service provider in the area of clinical data lineage and real-world data utilization for regulatory submission purposes. This may include (but is not limited to):

  • Study design tooling and digital data flow processes,
  • Data modelling, use cases and solution design,
  • Source data validation and governance,
  • Optimizing efficiency in data mapping and modelling,
  • Efficient data submission strategies,
  • Data mapping and/or validation services,
  • Real-world data and selection strategies.

ClinLine works with a number of highly experienced USDM experts, real-world data experts, data mapping experts, and programmers who can be utilized for consultancy purposes as needed.

ClinLine consultant profiles

  • Consultancy strengths: USDM implementation, data lineage, data modelling and architecture, data source selection, data quality & validation.
  • 8 years of experience with direct source RWD access and utilization as RWD R&D manager
  • USDM technical expert, trainer and digital data flow use case expert
  • Education: Biomedical Sciences, statistics, programming and management.
  • Skills: SQL, SAS, Python, Visual Basic, Delphi, JSONata; Project Management, Lean, TOGAF, Management drives; Standards: FHIR, OMOP, CDISC: SDTM, ADAM, USDM
  • Consultancy strengths: Data strategy, Data quality & validation, Data platforms, FDA submission process, Regulatory analytics, Data Mapping, Data analysis
  • Education: Computer Science, Medical Biology
  • Sr in HEOR, Epidemiology, and Market Access
  • Skills: SQL, SAS, Python, R, Java; Amazon Web Services (AWS); Project Management, Study Design, Reporting and publishing, statistical modelling
  • Standards: HL7 FHIR; CDISC SDTM, ADaM, Define.XML, OMOP, USDM
  • Strengths: Data Model compliance validation
  • Skills: detail oriented, relevant standard(s), relevant data standard and regulatory requirements, SAS, R, Python, SQL, Programming in SAS
  • CDISC standards, OMOP, FHIR, USDM, SDTM, ADAM, OMOP, FHIR, vendor data formats