Overview of basic technology

• DICOM transactions.
• SOP Class, Transfer syntax.
• ADT, ORM ORU.
• IAN integration with the EMR.
• Compression & impacts on systems, network & storage
• Common Workflows & Issues
• Practical exercise – DICOM creation & manipulation

Facility based PACS & Archives

• End to end data flow & storage implications.
• Non-standard data flows & impacts.
• VNA as PACS archive
• CPACS & specialty imaging.

Enterprise Imaging basics and VNA Design

• Composition and required skillsets 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)

Database design and SQL 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

Enterprise Imaging Architecture and Data Migrations

• 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

Fast Healthcare Interoperability Resource (FHIR)

• SMART on FHIR
• FHIR Basics
• Resources vs Operations
• JSON and XML
• FHIR query design
• Practical Exercise

Viewers, EMR integration, and non-DICOM Content

• 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

Emerging technologies, their impact in imaging

• Artificial Intelligence (AI)
• Blockchain
• Cloud computing
• Small group discussion and problem solving of issues at home facilities