Data Mining in Trauma By Jessica Hollen

Data Mining Objectives 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), Retrieved October 24, 2009 Penn State Library software Alias.