Information Technology (IT) and Data Mining
Student’s Name
Institutional Affiliation
Information Technology (IT) and Data Mining
Data mining refers to the process by which data is collected, analyzed, and processed to reveal specific trends and patterns. In healthcare, data mining involves the processing of such data to make a diagnosis of the patient’s healthcare history and predict future healthcare patterns. IT helps to store as well as process this data, and that allows physicians and other healthcare providers to serve clients with ease and accuracy (Tayade & Karandikar, 2013). The advent of information technology has been a significant boost in healthcare since it has contributed significantly towards better healthcare practices. Through information technology, various technological tools have been developed that help to improve healthcare services. Such tools include Electronic medical records (EMR), which allows healthcare providers to acquire real-time information about a patient. Clinical decision support (CDS) is a tool that reminds physicians and patients about crucial aspects of patient health. Computerized physician order entry (CPOE) helps healthcare providers to order or prescribe specific actions on patients remotely. The other tool is the electronic prescribing, which connects the physician with drug stores, chemists, pharmacies, and allows transmission of prescription data between the two agencies (Elizabeth et al., 2018). All the above IT tools have helped improve the quality of healthcare.
Similarly, data mining has improved healthcare systems by facilitating diagnosis and prevention, minimizing patient management costs, promoting timely and accurate patient management, among other benefits (Medscape, 2018). IT and data have become a significant boost in patient care outcomes, and that is evident through quality performance indicators such as responsiveness to patient needs and effectiveness in offering healthcare. Through IT tools, physicians can remotely monitor the health conditions of their patients and respond accordingly, unlike in the past, when technology was rarely in use (Tayade & Karandikar, 2013).
References
Elizabeth, L., Mishra, V.P, and Dsouza, J. (2018). “The role of big data mining in healthcare applications,” 2018 7th International Conference on Reliability, Infocom Technologies, and Optimization. https://ieeexplore.ieee.org/document/8748434
MedScape. (2018). https://www.medscape.org/
Tayade, M., and Karandikar, P. (2013). Role of data mining techniques in healthcare sector in India. Scholars Journal of Applied Medical Sciences. https://www.researchgate.net/publication/259716736_Role_of_Data_Mining_Techniques_in_Healthcare_sector_in_India