Data Mining and Information Technology in Nursing

Data Mining and Information Technology in Nursing

In recent years, most health facilities have embraced the use of technology in healthcare. Health information and data are stored, retrieved, shared, and used using computer hardware and software. This has increased efficiency and decreased workload in healthcare facilities. This paper aims to examine the use of information technology in healthcare.

The Impact of Information Technology and Data Mining on Health Care Quality

It has had an impact on healthcare provision, both positively and negatively. The use of information technology in healthcare has resulted in higher quality. In this case, technology has provided invaluable data to doctors and health researchers, allowing them to advance their medical knowledge and develop new treatment methods. Disease control has also benefited from medical technology. Some software and applications that can identify and classify illnesses, as well as their causes and symptoms, have been developed (McCormick & Saba, 2015). This makes it simple for professionals to use the data collected to control diseases. One of the drawbacks is that as more patient data and information is stored technologically, it becomes more vulnerable to cybercrime.

Provide a comparison and contrast example of how information technology and data have changed patient care outcomes using two Quality Performance indicators.

Quality performance indicators are evidence-based and standardized healthcare quality measures that can be used to track clinical outcomes and performance using easily accessible hospital inpatient administrative data. In this regard, retrieval of patient data and quick results in healthcare settings are two examples of quality performance indicators that can be used to demonstrate how information technology and data have changed patient care outcomes (McCormick & Saba, 2015).

In terms of Retrieving Patient Data, healthcare settings’ ability to retrieve and store patient information has significantly improved. Prior to the adoption or embrace of technology, most healthcare settings relied on paperwork and files to record and store patient information (Duan et al., 2011). This made it extremely difficult to retrieve healthcare records if they were required. The paperwork recording and file storage appeared to be more time-consuming and burdensome on the healthcare staff and thus inefficient. Nonetheless, with the adoption of computerized data records and storage, it is now very simple to record, store, and retrieve patient data when needed, saving a significant amount of time (McCormick & Saba, 2015). This also makes it easier for staff or healthcare practitioners to identify and correct errors.

In terms of quick results, however, the time that patients normally have to wait for their medical results has been significantly reduced. Patients can now receive their medical test results in less time. Prior to the invention or adoption of technology in healthcare, the patient’s laboratory results, for example, would go through longer and more laborious processes (Duan et al., 2011). The patient would have to wait several days before receiving their laboratory results. Most lives are jeopardized as a result of this because cases that required immediate attention also had to wait in line for laboratory results. However, with the implementation of technology and data mining in healthcare, it is only a matter of minutes before patients receive their medical results, facilitating healthcare outcomes and performance.

Finally, the quality performance indicators listed above are excellent examples of how information technology and data have altered patient care outcomes. In healthcare settings, time and workload have been reduced while efficiency has increased.

Reference

Duan, L., Street, W. N., & Xu, E. (2011). Healthcare information systems: data mining methods in the creation of a clinical recommender system. Enterprise Information Systems, 5(2), 169-181.

McCormick, K., & Saba, V. (2015). Essentials of nursing informatics. McGraw-Hill Education

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Describe how information technology and data mining can affect health care quality.

Using two Quality Performance indicators, provide a comparison and contrast example of how information technology and data have changed patient care outcomes.