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Data Mining in Trauma
By Jessica Hollen
Data Mining Objectives
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Define Data Mining
List and describe hardware and software
Identify, describe and review information system
Describe advantages and disadvantages and
examine legal and ethical issues
Describe technology-related competencies needed
by the professional nurse
Describe functions of the informatics nurse
Data Mining Defined
• Search to find information that
previously went unnoticed in the mass of
data collected. (Chesney, 2009)
• This information is then used in
education for prevention of trauma.
(Gdula, 2009)
Hardware
• Depends greatly on volume and outcomes.
• Basics include, monitor, keyboard, mouse, and
memory to accomidate your volume and
database.
• Most hospitals IT take care of the harware
requirements and updates.
(Gdula, 2009)
Software
• ARHS Trauma's standard for accreditation is the PA
Trauma Foundation.
• Database Software is designated by the PA Trauma
Foundation to be Collector by Digital Innovation
– Patient data entered in the Collector Software helps
process, generate, and disseminate data then is used
to enhance research and educate for prevention.
– Software is compatible with their database for
monthly downloads.
• Annual Training is held by Digital Innovation.
• IT is responsible for software updates .
(Gdula, 2009)
Information System
• Collector Software is a
Relational Database
Management System
– Extremely large
database that stores
all information needed
and makes this data
available for data
mining
(Mastrian & McGonigle,
2009)
Hardware \ Software
Example
Optimal Requirements Workstation or
Standalone
System:
Operating System:
Windows 2000 Pro, Windows XP Pro
Processor:
Pentium III 800 MHz or better
Memory: 512 MB RAM or better
Disk Space:
20 GB
Monitor:
15" SVGA
Network Card:
32 bit PCI 10/100 Fast Ethernet Card
Other:
CD-ROM
Operating System:
Microsoft Windows 2000 Pro, Windows XP Pro
Processor:
Pentium 4, 2.8 GHz or better
Memory:
1 GB RAM or better
Disk Space:
30 GB or better
Monitor:
17" SVGA
Network Card:
32 bit PCI 10/100 Fast Ethernet Card
(Gdula, 2009)
Advantages
• Generates Reports / Enhances Research
(Gdula, 2009)
Advantages
• Generates Reports / Enhances Research
(Gdula, 2009)
Advantges
• Generates Reports / Enhances Research
(Gdula, 2009)
Advantages
• ''Trauma is one of the
leading causes of loss of
life to those under 40,
therefore PREVENTION
and EDUCATION are
crutial.”
(Chesney, 2009)
Advantages

Collector Software records ....
 injury details
 Patient's gender & age
 Mechanism & Severity of Injury
 Initial & Subsequent Management &
Interventions
 Outcome of treatment
(Chesney, 2009)
Advantages
• Collector Software enhances patient care
through process analysis, outcome analysis
and dissemination of results.
• Critiques hospital care from...
– time of arrival
– how long to get to OR,
– nursing/doctor care throughout hospital
stay.
(Gdula, 2009)
Disadvantages
• Time Consuming due to
tedious data entry
• One registrar per 500
trauma patient's yearly,
per PA Trauma
Foundation.
– ARHS >1000 trauma
patients yearly,
therefore needs two
registrars .
(Gdula, 2009)
Ethical Issues
• Language Barriers when obtaining information
from patient or their family.
• Biometric Technologies- Security of database
– unique identifiers = password, fingerprint,
barcode scan from badge.
– ESLI = ethical, social, and legal implications for
patient confidentiality as required by HIPPA
– Problem Solving if there is an issue
(Mastrian & McGonigle, 2009)
Technology Competencies
• Nurses must be able to access, use, share
information.
• Foundation of Knowledge comes into the
process with feedback.
– Knowledge Acquisition
– Knowledge Dissemination
– Knowledge Generation
– Knowledge Processing
(Mastrian & McGonigle, 2009)
Functions of the Informatics Nurse
• Increasing interactions and interrelationships
with ...
– Data
– Information
– Knowledge
• Knowing the ANA Recognized Terminologies
and Data Element Sets
(Mastrian & McGonigle, 2009)
Summary
• Research through data mining in trauma is...
– needed to measure patient's outcome in
survival and quality of life.
– used to make improvements in patient care
– Used in prevention and education seminars
(Gdula, 2009)
Resources
•
Chesney, T. (2009). Data mining trauma injury data using
C5.0 and logistic regression to determine factors associated
with death. International Journal of Healthcare Technology
and Management, 10(1/2), 16-26, 447. Retrieved October 24,
2009 Penn State Library software Alias.
•
Gdula, D., Trauma Administrator. (Personal
Communication, November 9, 2009).
•
Mastrian, K. & McGonigle, D. (2009). Nursing Informatices
and the Foundation of Knowledge. Sudbury, MA: Jones and
Barlett Publishers. 86,159.
•
Richards, J. A. (2001). Nursing in a Digital Age. Dermatology
Nursing, 13(5), 365-370. Retrieved October 24, 2009 Penn
State Library software Alias.