Computer Science, the Foundation of Knowledge Model and the Human-Technology Interface
There are several risks to patients in the healthcare settings when informatics technology is not used. For example, the risk of medication error arises due to the inability to communicate patient data quickly in a readable format. Informatics technology enhances communication between nurses, which enhances medication safety. Reduced patient safety is also another risk related to the absence of informatics technology because technology can be used to alert or remind patients or nurses about medications, track and report diagnostic or laboratory results and provide extra patient information, such as allergies and other complications to support patient care. There is also the risk of increased medical care costs in the absence of informatics technology as technology allows patients to visit the hospital less often, remind them of the required medications or appointments, and allow them to share information with care providers remotely.
The human-computer interface (HCI) includes the actions, dialogues, processes that a person uses to interact with a computer. HCI focuses on computer technology, software, people, and how they influence each other (Shortliffe & Cimino, 2013). HCI enables nurses to access patient data, which improves patient care outcomes. For example, a nurse can use an electronic health record to enter or retrieve patient information such as laboratory test results.
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Nursing Informatics Administrative Applications: Precare and Care
The selected article is the article authored by AbdulAmeer (2015), which examines how healthcare organizations can use data mining technologies to enhance their operations. The article demonstrates how healthcare organizations use big data technologies to improve their performance. It also shows how analytics can combine and connect multiple applications into a single system.
Analytics technology can, thus, be converted into a new type of information system in the healthcare sector. For example, today a majority of healthcare organizations have implemented different informatics technologies, such as EHRs and patient portals. However, these technologies cannot analyze data to gain knowledge to offer insights that can assist physicians to make better clinical decisions. Data warehouses and data mining technologies, however, can aggregate data and mine it to discover new associations and build knowledge. Healthcare organizations can develop data warehouses to store their data and make it available for mining. They can then use data mining software to sort and analyze through the data to identify previously unidentified patterns and associations. The new knowledge gained can then be used to improve performance and enhance patient care.
References
AbdulAmeer, D. A. (2015). Medical Data Mining: Health Care Knowledge Discovery Framework Based On Clinical Big Data Analysis. International Journal of Scientific and Research Publications , 5 (7).
Shortliffe, E. H., & Cimino, J. J. (Eds.). (2013). Biomedical informatics: computer applications in health care and biomedicine . Springer Science & Business Media.
