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Business Analytics for Medical Imaging with Intelligent Protocol Content Analysis

The Case for Imaging Analytics

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Functions and features of the PresiNET Healthcare tool

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Page 1: The Case for Imaging Analytics

Business Analytics for Medical Imaging

withIntelligent Protocol Content Analysis

Page 2: The Case for Imaging Analytics

2

Business Intelligence

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

Page 3: The Case for Imaging Analytics

3

The Science…..

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

Page 4: The Case for Imaging Analytics

Imaging Analytics Manager

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

Page 5: The Case for Imaging Analytics

Imaging Analytics

DICOM Analytics

Increase Productivity by:

Volume & Modality Analysis

AE Title

Source Institution

Archived Data Analysis

Data Mining

Page 6: The Case for Imaging Analytics

Study / Exam Volume Analysis

Filter for modality

Select Time Period for Analysis

DICOM Analytics

Page 7: The Case for Imaging Analytics

Study / Exam Analysis

Select Study or Volume View

DICOM Analytics

Page 8: The Case for Imaging Analytics

Daily / Hourly Activity Analysis

Activity by Modality / AE Title

Dashboards show 7 days

DICOM Analytics

Page 9: The Case for Imaging 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

Page 10: The Case for Imaging Analytics

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DICOM Analysis

Searchable for any DICOM and

HL7 fields

Anonymize extracted data

Data Mining and Analysis of Archived Data

Page 11: The Case for Imaging Analytics

Imaging Analytics

Image Reporting

Analyze Key SLA Metrics By:

By Patient By Reporting Physician By Referring Physician By Location/Department Transactional Billing

Page 12: The Case for Imaging Analytics

Detailed Reporting Analysis

Filter and Display for Patients, Referring and Reporting

Physicians

Imaging Analytics

Page 13: The Case for Imaging Analytics

Detailed Reporting Analysis

Filter and Display for Patients, Referring and Reporting

Physicians

Imaging Analytics

Page 14: The Case for Imaging Analytics

Workflow Analytics

Workflow Analytics

Optimize Patient Workflow:

Procedure Analysis

Imaging Analysis

Workflow Analysis

Turn Around Time

Wait Time Analysis

Page 15: The Case for Imaging Analytics

Procedural Wait Time Analysis

Average Turn Around Times by

ModalitySelect

Dates and Sites

Workflow Analytics

Page 16: The Case for Imaging Analytics

User defined clinical thresholds for wait

time analysis

Real Time Analysis & Benchmarking

Workflow Analytics

Dynamic analysis of wait time metrics

Page 17: The Case for Imaging Analytics

Turn-around-Time by Procedure / Patient

Workflow Analytics

Color Coded

KPI Reporting

Color

Coded

Steps

Page 18: The Case for Imaging Analytics

Network Analytics

Connection Based Tracking

Operational Intelligence:

Network Analysis

Bandwidth & Latency Analysis

Processor Utilization

Application Performance

Secure Logging & Alerting

Page 19: The Case for Imaging Analytics

Bandwidth Analysis

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)

Page 20: The Case for Imaging Analytics

DICOM Flow Analysis

Determine daily peaks and flow statistics Analyze servers and determine bandwidth utilization For remote systems, review utilization and performance stats

Page 21: The Case for Imaging Analytics

Irregular Traffic Analysis

Review irregular traffic types (Denied/Unreplied/Timeout)

Look for applications/systems that are producing Irregular traffic