Running head: TECHNOLOGY AND DATA MINING 1 3 TECHNOLOGY AND DATA MINING

Running head: TECHNOLOGY AND DATA MINING
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TECHNOLOGY AND DATA MINING
PLEASE WRITE ONE PARAGHPY REPLY TO JENN’S INTIAL POST
Information Technology and Data Mining
Quality of Health Care
     Information technology is the use of computers, networks, and software that healthcare systems use to support their organization and care for patients (Definition of Information Technology, n.d.). Data mining involves extraction information from a large database to gain new information or understanding (Osman, 2019). Mining for data from electronic health records can help identify trends such as adverse events or improved outcomes by analyzing data from various sources and making connections that may have otherwise not been realized (Milovic & Milovic, 2012).
Quality Performance Indicators
     Patient safety and prevention are quality performance indicators that can be improved by utilizing information technology and data mining (Agency for Healthcare Research and Quality [AHRQ], n.d.-c). Data mined from records provides an insight to adverse events within hospitals following surgery, childbirth, and other procedures so opportunities for improvement can be identified (Agency for Healthcare Research and Quality [AHRQ], n.d.-a). Prevention quality performance indicators are focused on outpatient care by analyzing complications which occur after discharge (Agency for Healthcare Research and Quality [AHRQ], n.d.-b). While both are similar in that they use data mining to identify trends to improve outcomes, patient quality is focused on hospitals whereas prevention is focused on community outpatient resources to prevent readmission or complications. An example of patient safety quality improvement was when Johns Hopkins Health System utilized data to improve postoperative respiratory failure in cardiac patients. By analyzing data which showed that fluid control was directly related to the ability to remove patients from ventilators sooner, they were able to remove CABG patients from a ventilator by 6 hours from 30% in 2012 to 60% in 2019 (AHRQ, 2019b). California improved prevention quality measures by utilizing data mining to understand population health to improve care and focus on community areas with unmet needs in the form of loan repayment, scholarships, and grants to professionals and organizations serving these communities (AHRQ, 2019a).
References
Agency for Healthcare Research and Quality. (n.d.-a). Patient safety indicators. https://qualityindicators.ahrq.gov/measures/psi_resources (Links to an external site.)
Agency for Healthcare Research and Quality. (n.d.-b). Prevention quality indicators. https://qualityindicators.ahrq.gov/measures/pqi_resources (Links to an external site.)
Agency for Healthcare Research and Quality. (n.d.-c). Quality indicators. https://qualityindicators.ahrq.gov/ (Links to an external site.)
AHRQ. (2019a). AHRQ quality indicators case study: California Office of Statewide Health Planning and Development. https://qualityindicators.ahrq.gov/resources/case_studies (Links to an external site.)
AHRQ. (2019b). AHRQ quality indicators case study: Johns Hopkins Health System. https://qualityindicators.ahrq.gov/resources/case_studies (Links to an external site.)
Definition of information technology. (n.d.). North Dakota Information Technology. https://www.ndit.nd.gov/about-us/definition-information-technology (Links to an external site.)
Milovic, B., & Milovic, M. (2012). Prediction and decision making in health care using data mining. https://platform.almanhal.com/Files/Articles/38086 (Links to an external site.)
Osman, A. (2019). Data mining techniques. International Journal of Data Science Research, 2(1). https://doi.org/http://ojs.mediu.edu.my/index.php/IJDSR/article/view/1841/717 (Links to an external site.)
 
PLEASE WRITE ONE PARAGRAPHY REPLY TO DUMK’S INTIAL POST
To provide care to patients that is evidence-based, we must be open and actively searching for the most up-to-date research regarding patient care. Information technology is crucial in practicing this for patients. For example, when researching a group of individuals to assess the risks and benefits of care, documentation is the most current and efficient way to record information. It allows for re-assessment to improve and reflection on improving care and what components were best for the patient. Technology use also offers a way to help patients reinforce and improve health information knowledge (Schneider & Howard, 2017).
Data mining allows for predictions of inpatient care trends based on research from previous occurrences. Through the utilization of information technology, this information is passed between healthcare professionals to set the standard at which care is carried out for the best possible outcome for the patient. For example, after the COVID19 virus reared its ugly head in early 2020, healthcare providers maintained electronic documentation of patient care presentations and the treatments used to care for these patients. For example, the ferritin storm that often presents from the virus can result in increased D-Dimer levels and an increased likelihood of blood clots that can quickly become life-threatening. This has set a quality standard in the facility I work. This policy allows for all patients who are diagnosed with COVID19 to receive a high dose of prophylactic medication to keep blood levels lower to prevent these clots from forming and creating further issues. 
References
Schneider, M.A., & Howard, K.A. (2017). Using technology to enhance discharge teaching and improve coping for patients after stroke. Journal of Neuroscience in Nursing, 49(3), 152-156.