2
 Intelligent Protocol Tracking and Analysis
 Workflow Analysis & Turn Around Times
 Image Analytics and File Tracking
 Systems Performance Analytics
 Data Mining and Analysis
Comprehensive Imaging Analytics
3
Provides over 360 views into the network
• Tracks 100% of all Network Traffic in Real Time 99.999% accurate
• Provides Deep Packet Application inspection ( HL-7, DICOM, XML)
• Analyzes all connections from start to finish
• Identifies and tracks all “State” changes
• Generates Performance Statistics on all IP connections
• Provides Real-Time Behavioral Analysis
HL-7 /DICOM/ XML
Messaging
Deep Packet Inspection
(Layer 7)
Connection Based
Intelligence
Intelligent Protocol Tracking
Increase Productivity With:
 Volume & Modality Analysis
 AE Title
 Source Institution
 Archived Data Analysis
 Data Mining
Optimize Patient Workflow:
 Procedure Analysis
 Imaging Analysis
 Workflow Analysis
 Turn Around Time
Analyze Key SLA Metrics:
 By Patient
 By Reporting Physician
 By Referring Physician
 By Location/Department
 Transactional Billing
Business Intelligence for Radiology
DICOM Analytics
Increase Productivity by:
 Volume & Modality Analysis
 AE Title
 Source Institution
 Archived Data Analysis
 Data Mining
Study / Exam Volume Analysis
Filter for
modality
Select Time Period for
Analysis
DICOM Analytics
Study / Exam Analysis
Select Study or
Volume View
Daily / Hourly Activity Analysis
Activity by
Modality / AE Title
Dashboards
show 7 days
DICOM Analytics
• Create a Secure Trail of Accountability
• VNA Archive Analysis
Track All Traffic by Study
Type, Volume and Transfer Time to
the DIr
DICOM Analytics
Searchable for
any DICOM and
HL7 fields
Anonymize extracted data
10
Data Mining and Analysis of Archived Data
Image Reporting
Analyze Key SLA Metrics By:
 By Patient
 By Reporting Physician
 By Referring Physician
 By Location/Department
 Transactional Billing
Detailed Reporting Analysis
Filter and Display for Patients,
Referring and Reporting
Physicians
Detailed Reporting Analysis
Filter and Display for Patients,
Referring and Reporting
Physicians
Workflow Analytics
Optimize Patient Workflow:
 Procedure Analysis
 Imaging Analysis
 Workflow Analysis
 Turn Around Time
 Wait Time Analysis
Procedural Wait Time Analysis
Average Turn
Around Times by
Modality
Select
Dates and
Sites
User defined clinical
thresholds for wait
time analysis
Real Time Analysis & Benchmarking
Dynamic analysis of
wait time metrics
Turn-around-Time by Procedure / Patient
Color
Coded
KPI
Reporting
Connection Based Tracking
Operational Intelligence:
 Network Analysis
 Bandwidth & Latency Analysis
 Processor Utilization
 Application Performance
 Secure Logging & Alerting
 Identify Bandwidth utilization between PACS and End Clients
 Monitor all related applications on PACS
 Measure latency and throughput
 Monitor User Connection traffic (User vs. External)
 Determine daily peaks and flow statistics
 Analyze servers and determine bandwidth utilization
 For remote systems, review utilization and performance stats
 Review irregular traffic types (Denied/Unreplied/Timeout)
 Look for applications/systems that are producing Irregular
traffic

The Case for Imaging Analytics

  • 2.
    2  Intelligent ProtocolTracking and Analysis  Workflow Analysis & Turn Around Times  Image Analytics and File Tracking  Systems Performance Analytics  Data Mining and Analysis Comprehensive Imaging Analytics
  • 3.
    3 Provides over 360views into the network • Tracks 100% of all Network Traffic in Real Time 99.999% accurate • Provides Deep Packet Application inspection ( HL-7, DICOM, XML) • Analyzes all connections from start to finish • Identifies and tracks all “State” changes • Generates Performance Statistics on all IP connections • Provides Real-Time Behavioral Analysis HL-7 /DICOM/ XML Messaging Deep Packet Inspection (Layer 7) Connection Based Intelligence Intelligent Protocol Tracking
  • 4.
    Increase Productivity With: Volume & Modality Analysis  AE Title  Source Institution  Archived Data Analysis  Data Mining Optimize Patient Workflow:  Procedure Analysis  Imaging Analysis  Workflow Analysis  Turn Around Time Analyze Key SLA Metrics:  By Patient  By Reporting Physician  By Referring Physician  By Location/Department  Transactional Billing Business Intelligence for Radiology
  • 5.
    DICOM Analytics Increase Productivityby:  Volume & Modality Analysis  AE Title  Source Institution  Archived Data Analysis  Data Mining
  • 6.
    Study / ExamVolume Analysis Filter for modality Select Time Period for Analysis DICOM Analytics
  • 7.
    Study / ExamAnalysis Select Study or Volume View
  • 8.
    Daily / HourlyActivity Analysis Activity by Modality / AE Title Dashboards show 7 days DICOM Analytics
  • 9.
    • Create aSecure Trail of Accountability • VNA Archive Analysis Track All Traffic by Study Type, Volume and Transfer Time to the DIr DICOM Analytics
  • 10.
    Searchable for any DICOMand HL7 fields Anonymize extracted data 10 Data Mining and Analysis of Archived Data
  • 11.
    Image Reporting Analyze KeySLA Metrics By:  By Patient  By Reporting Physician  By Referring Physician  By Location/Department  Transactional Billing
  • 12.
    Detailed Reporting Analysis Filterand Display for Patients, Referring and Reporting Physicians
  • 13.
    Detailed Reporting Analysis Filterand Display for Patients, Referring and Reporting Physicians
  • 14.
    Workflow Analytics Optimize PatientWorkflow:  Procedure Analysis  Imaging Analysis  Workflow Analysis  Turn Around Time  Wait Time Analysis
  • 15.
    Procedural Wait TimeAnalysis Average Turn Around Times by Modality Select Dates and Sites
  • 16.
    User defined clinical thresholdsfor wait time analysis Real Time Analysis & Benchmarking Dynamic analysis of wait time metrics
  • 17.
    Turn-around-Time by Procedure/ Patient Color Coded KPI Reporting
  • 18.
    Connection Based Tracking OperationalIntelligence:  Network Analysis  Bandwidth & Latency Analysis  Processor Utilization  Application Performance  Secure Logging & Alerting
  • 19.
     Identify Bandwidthutilization between PACS and End Clients  Monitor all related applications on PACS  Measure latency and throughput  Monitor User Connection traffic (User vs. External)
  • 20.
     Determine dailypeaks and flow statistics  Analyze servers and determine bandwidth utilization  For remote systems, review utilization and performance stats
  • 21.
     Review irregulartraffic types (Denied/Unreplied/Timeout)  Look for applications/systems that are producing Irregular traffic