Clinical Decision Support Systems Or Data Mining Essay

Answer with an initial post to one of the questions sets below. Make sure you note in your post if you are responding to Option A or Option B. You must respond to classmate’s postings in both Option A and Option B.

ORDER  HERE A PLAGIARISM-FREE PAPER HERE

Option A: Clinical Decision Support Systems  Clinical Decision Support Systems Or Data Mining Essay

Clinical decision support systems (CDSS) are used to help guide clinical decisions for care. At the high end, CDSS’s can facilitate diagnosis of conditions. Most of us see a CDSS in terms of ‘hard stops’ in the charting where until certain things are documented you cannot proceed in the charting.

Describe how a CDSS is used at your facility.
Explain how a CDSS might be useful in supporting high quality, safe patient care.
If your clinical area does not use a CDSS, describe how one could be used in practice.
Find one peer-reviewed article to use in your response and cite it using APA format.
Option B: Data Mining  Clinical Decision Support Systems Or Data Mining Essay

Data mining is used to find relationships between variables that one might not have considered previously. For example, you run a data search to compare the incidence of nosocomial infections rates on a particular unit against those that had surgery a minimum of one day prior. This might show a correlation between infection rates of a particular group (say, appendectomies) with a specific OR (or surgeon, or team, etc.). Perhaps the nosocomial infection rates of appendectomies was 24% when they used operating room 3. The data tells you to examine that OR, look for reasons why the incidence of infections was higher in that room. Data mining looks retrospectively at the correlation between two variables that might not have been identified otherwise.Clinical Decision Support Systems Or Data Mining Essay

If you were able to perform a data mining search in your current setting, what topic or issue would you select? Keep in mind that data mining can ONLY happen if the topics or variables are electronically stored so when you identify your data mining topic, you need to state how the data is stored and accessed.
Would you narrow it to a specific population and cross reference another variable such as a nursing intervention or would you widen the search to look for hidden trends?
What other issues would need to be considered when looking at data mining trends for future practice?
Find one peer-reviewed article to use in your response and cite it using APA format.
In your responses to two other students’ posts, discuss the impact data mining or CDSS might have on clinical practice or share another response that you may have about a student’s posting.Clinical Decision Support Systems Or Data Mining Essay

Your responses should consist of complete sentences and should be at least 1 paragraph but no more than 3 paragraphs.

Decision support systems had been first created and implemented in the business world to be able to support organization management. In the past few years, these support systems have been integrated into medical care organizations to provide a sharpened evaluation capacity to data warehousing and data exploration. The refined data examination ability can lead to enhanced sufferer care and diagnoses through assessment of several symptoms, forecasting of some drug interaction results, and other factors. As decision support devices are more and more integrated into medical organizations and facilities, they have become important elements of healthcare systems. In fact, clinical decision support software has been essential in helping advanced practice nurses to make up to date decisions and give quality health care.Clinical Decision Support Systems Or Data Mining Essay

Definition of these Systems:

Clinical decision support systems can be defined as interactive decision support devices computer software that are designed to help medical doctors and other professionals in the medical care system with decision making tasks like the perseverance of diagnosis of patient information. These devices offer medical doctors, patients, staff, and other health care professionals with knowledge and individual-specific data that are competently sorted or provided at suitable occasions to improve the standard of health care (“Clinical Decision Support, ” d. d. ). Generally, scientific decision support systems include various tools that assist in improving decision making in the medical workflow. The ability of the tools to improve decision making is definitely attributed to their provision of computerized notifies and reminders to health care providers and sufferers. In addition , they contain clinical guidelines, several sets of condition-specific purchases, documentation layouts, relevant reference information, diagnostic support, and focused patient data reports and summaries.Clinical Decision Support Systems Or Data Mining Essay

Use of Specialized medical Decision Support Systems:

Medical care professionals including physicians and nurses make use of clinical decision support devices to prepare prognosis and review the diagnosis in endeavors to enhance a final outcome (“Clinical Decision Support System, inch n. m. ). The utilization of clinical decision support devices may involve data exploration, which may be performed to evaluate the patient’s health background. Notably, the using data mining to do this objective can be conducted along with relevant medical research. The evaluation can help in foretelling of probable events that include medication interactions and disease symptoms.Clinical Decision Support Systems Or Data Mining Essay

In today’s medical environment, you will discover two major kinds of medical decision support systems used. One of these devices is a CDSS that utilizes a knowledge base, which will applies guidelines to affected person data through inference engine and displays the results to the end user. The second kind of CDSS is one that has no knowledge foundation and relies upon machine learning as a means of evaluating clinical data. It is necessary Clinical Decision Support Systems Or Data Mining Essay

Data mining is a process of pattern and relationship discovery within large sets of data. Because of the large volume of data generated in healthcare settings, it is not surprising that healthcare organizations have been interested in data mining to enhance physician practices, disease management, and resource utilization. This chapter discusses a variety of data mining techniques that have been used to develop clinical decision support systems, including decision trees, neural networks, logistic regression, nearest neighbor classifiers. In addition, genetic algorithms, biologic and quantum computing, and big data analytics as well as methods of evaluating and comparing the different approaches are also discussed. LESS Clinical Decision Support Systems Or Data Mining Essay