PresiNET was founded in 1999 as a managed security service provider and develops all its intellectual property in-house. It has proprietary technology called Intelligent Protocol Content Analysis that analyzes DICOM, HL7, and XML data in near real-time without impacting bandwidth. PresiNET began developing healthcare products in 2010 and offers scalable software and appliances for radiology analytics and reporting, workflow monitoring, and transaction billing for clinics to large hospital systems. There is growing demand for radiology analytics to reduce manual work and improve efficiency.

1. Confidential to PresiNET Healthcare Inc.

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 PresiNET was founded as a managed security service provider in 1999
 All development is performed in-house
 Intellectual property is unique in the power of the radiology network
performance functionality along with the ability to parse DICOM headers, HL7
and XML in near real time
 “Intelligent Protocol Content Analysis” (IPCA) is proprietary technology that
produces the required data for imaging and network analytics in near real time,
without bandwidth impacts
Development and Intellectual Property

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 Development of healthcare products started in Fall 2010
 Software is highly scalable, with the smaller
implementation at radiology clinics and community
hospitals.
 We work with customers as development progresses
 Customers range from relative small Radiology Clinics to
large hospital system
 The largest current implementation monitors and
collects data from 42 hospitals feeding into a centralized
PACS – about 1.2 million studies per year
 Discussions are underway with significantly larger clients
 Products are shipped as hardware or virtual appliances
Product Development

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 Demand is growing for analytics among radiology
professionals
 To eliminate significant manual work in order to
produce required reports
 Frequently the quality of the RIS being used is not up
to producing actionable data on an acceptable
timeline
 PACS Administrators and Radiology Directors are
under significant pressure to find continuous
improvements in efficiency and productivity
 This demand is consistent with the overall pressure to
make health delivery institutions effective and
accountable
Demand for Radiology Analytics
4-5000 Hospitals
1000 Radiology Clinics
?? Large Hospitals

5. Imaging Reporting:
 Extensive imaging analytics and reporting capacity
 Linked cutting-edge DI network and application analytics
Workflow and Turn Around Times (Module):
 Full insight into workflow steps, elapsed times
 Supplements information available from RIS where needed
Track all Billable DI Transactions (Module):
 Cluster billable studies by image source, track VNA traffic
 Automated reporting allows for rapid implementation of fee per
study billing
Products

6. The DInet Base
 The base product is scaled to meet the
requirements of the majority of radiology
departments and organizations. Largest
current implementation handles more than 40
locations and 1.2 million studies per year
 The base is available as an Enterprise version
that is scaled to handle any operation up to at
least 5 million studies per year
 The Base is shipped as hardware or VMware
version

7. Upgrade Option – Workflow and TAT’s
 DImax is offered as an UPGRADE to DInet for each
of the versions
 Pricing model offers an incentive for the acquisition
of the Upgrade at the time of purchase
 Upgrade is a software Upgrade, pricing is adjusted
to have support terminate at the same time as the
base system being upgraded (all products ship with
a three-year support package)
 This Upgrade requires some mapping support at
time of implementation – HL7 messaging is
frequently not consistent with the expected
arrangements)

8. Upgrade Option – Transaction Billing
 DItracs is offered for situations in which accurate tracking of work
performed is essential
 Situations include VNA’s, where billing back arrangements
are used to cover costs
 Large organizations may use this Upgrade to track and
confirm billing data
 Some vendors of systems may use this as a quick solution to
a transaction billing approach – requires no interfaces or
system software alterations – a quick solution to the problem
 Implementation involves a remote software change approach

9. Remote Location Monitoring
 Sensors must be able to parse DICOM and HL7 at the
source, providing resulting logs to the central server.
Without local parsing, additional traffic overloads the
network
 Traditional sensors used purely for network analytics do
not have the capacity to parse on site
 Two smart sensors have parsing capacity but no on-
board analytics for use in large complex operations.
 Smart Sensor I parses DICOM, HL7 and XML
 Smart Sensor II parses HL7 and XML

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 No product stocking requirements – all shipping is Just in Time
 Low technical training threshold – no cost implementation support and training
 Sales support and training delivered virtually or in person as required
 Demos delivered initially by PresiNET Healthcare staff. Training provided to
Partner sales staff to take over and assume this function
 Modular configuration provides on-going opportunity to call on client with new
potential functionality – the PresiNET development process will produce new
modules on a quarterly basis
 Effective deal registration process ensures that channel conflicts are avoided
Ensuring Mutual Success
PresiNET Healthcare will not
compete with you: Our success
depends on partner success.

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Contact PresiNET Healthcare directly to arrange for a live demo and discussion
about the power of the system
Arrange for a Live Demo
Paul Shumate, VP Sales
pshumate@presinethealthcare.com
1-949-481-3146