Opening Remarks & Introduction

PACS Imaging design, XDS, and lessons learned

• Composition and required skill sets of EI team
• Reconciliation, synchronization and data quality
• Multiple PACS considerations and issues
• Data segmentation and segregation considerations
• Queue management processing rules
• Naming conventions
• Disaster recovery and failover
• Storage of report data
• Patient ID management (PIX / PDQ)

SQL Database fundamentals and PACS DB Practical Exercise

• Similarities and differences between spreadsheets and databases
• Relational database design
• Database query syntax
  • Select/From/Where
  • Count/Distinct/Join
  • Select vs Update vs Delete
• Exercise and execution of SQL queries against a PACS database

Architecture Considerations and Data Migration strategies

• PACS first or VNA first
• Local, regional or national level VNA
• Integration with EMR, other applications
• XDS, XDS-I integration
• Data migrations to VNA, from VNA and data sharing between systems
• Data cleansing (images – reports)
• Normalization of DICOM data and tag management
• Private tags, non-standard data and support of SOP Classes
• Migration planning and execution

Client-side vs Server-side rendering , EMR Integration & Encounters Based Imaging

• Pros and cons of zero footprint viewers
• Who are the users of zero footprint and what are the requirements
• Image workflow and impacts
• URL integration methods and populating EMR
• Dermatology, pathology, surgery, Emergency
• Encounters based workflow considerations and tools
• Use cases and integration points
• Pros and cons of DICOM encapsulation