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A Pioneer In Laboratory Infomation Technonlgy

October 20, 2009

Founded in 1979, SCC Soft Computer is one of the
leading and most widely recognized providers of
clinical information management systems for the
healthcare IT industry. Celebrating its 30-year
shared journey of innovation and excellence with its valued
clients, SCC is at the forefront of laboratory, genetics, blood
services, outreach, pharmacy, and radiology information
systems software development and offers full suites of
Web-enabled clinical information management system
solutions that enable SCC clients to do more in less time
with fewer full-time employees.

After just three decades in the healthcare information
technology industry, SCC is considered a pioneer in developing laboratory and genetics information systems. “We
have been very successful in accomplishing complex LIS
implementations in large, multisite environments. Our large
and sophisticated client base, combined with the company’s
fi nancial stability and fi nancial independence, will ensure
that SCC remains a leading LIS vendor for years to come,”
said Mr. Gilbert Hakim, CEO and co-founder, SCC Soft
Computer. “In fact, SCC was among the first to produce
production-environment-ready genetics information systems
with solutions for cytogenetics, molecular diagnostics, flow
cytometry, and HLA/immunogenetics
labs,” Hakim added.

The healthcare industry is poised for a fundamental shift in the way medicine is practiced and patient care is delivered.
Pioneers in the healthcare IT
industry understand that future discoveries in the areas of molecular diagnostics and genetics testing will provide more insight for researchers and clinicians alike in helping patients cope with genetically-based diseases. With the help of genetic testing, physicians can provide a new era in personalized health care as they forge this new frontier in personalized patient care that speeds results and
saves time and money.

SCC’s Genetics Information Systems Suite offers a full
range of genetics tools that allow for research-specifi c
information. These tools are designed to automate work-flow and report genetic testing in the diagnostic genetics laboratory.

Genetics Information Systems Suite ™
• SoftMolecular® SCC’s diagnostic genetics laboratory
intuitive workflow solution
Provides researchers real-time access to each patient’s
DNA/RNA profi le for optimized nucleic acid testing from
direct workfl ows and user-defi ned worksheets.
• SoftCytogenetics® SCC’s diagnostic genetics laboratory
system
Enables researchers to conduct user-defi ned testing for
managing data from millions of sample runs in a Webbased,
enterprise-wide network.
• SoftFlowCytometry® SCC’s diagnostic genetics laboratory
fl exible data management solution
Allows for optimized workflows in flow cytometry
research, resulting in minimal data loss and
reliable data capture, and allows for further refi nement
of chromosomal-derived data in molecular
genetics.
• SoftHLA® SCC’s diagnostic genetics laboratory immunogenetics system
Provides strong database support for derivation of data
from customized queries used in transplant reports,
serum collection, and patient record management at
all levels of the enterprise – from the laboratory bench
to the patient’s bedside.

Additionally, SoftIWS™, SCC’s powerful Interpretive
Workstation information management system, provides
clinical diagnosticians and researchers alike with a user
friendly, Web-enabled application that not only provides
mission critical information management capabilities, but
also expands upon the boundaries of molecular genetics,
immunogenetics, fl ow cytometry, and cytogenetics. SoftIWS
provides a central access point for entering interpretive
information derived from large volumes of information,
experimental workfl ows, and other information management
concerns from one central location throughout the
informatics pipeline. This advanced reporting and information
management application puts the power of managing
results from multiple sources into the hands of individual
clinical diagnosticians and researchers, enabling them to
analyze and provide summary interpretations across disciplines from one location.

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