Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
health care systems around the world
health care systems around the world
essay on liver diseases
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: health care systems around the world
Background: Chronic disease is defined as disease that persists over a long condition which progress slowly and generally it can be controlled but not cure. There are types of chronic disease such as heart disease, stroke, cancer, chronic respiratory disease, liver, and diabetes mellitus. CBR is a case-based reasoning solves problems by using or adapting solutions to old problems. The systems of CBR have been used for diverse purposes likely classification, diagnostic, planning, and tutoring in the field of medical. However, the trend CBR in diagnose chronic disease need to be reviewed due to the reliable and accuracy system has to be evaluated with parameter performance. Method: In doing SLR, the review conduct from sources, such as books, journal, conference, report, etc. The publication year from 2010-2014. The population is chronic disease and the interventions are CBR, method, techniques, and tool. Result: In this review, shown that problem, dataset, method, proposed system, parameter performance and result. The 12 primary studies found that most of them using parameter performance in accuracy rate. Otherwise, the parameter include robustness and learning capacity. Conclusion: Trend CBR reviewed that most of problem found in primary studies, which is accuracy in retrieval cases, process time and missing data. In order to evaluate, parameters performance have to measure in particular CBR method. Keywords: Case-Based Reasoning, Chronic Disease, Parameter Performance, Trend, SLR 1. INTRODUCTION The lives of many people in the world have been curtailed by chronic disease. Chronic disease is defined as disease that persists over a long condition which progress slowly and generally it can be controlled but not cure. There are ... ... middle of paper ... ...mpling and contacting the authors directly. 12 primary studies were included and evaluated according to a number of research questions (Table 1). This review has shown that most of the problem found in CBR methods such as accuracy rate in retrieval cases, processing time and missing data/cases. Researchers who are new to the area can find the complete list of relevant papers in the field. They will also find the most frequently used trend CBR in diagnose chronic disease, with references to the studies in which they are used, including problem, method, dataset, parameter performance, proposed system and result (Table 2.). The parameter performance of CBR is accuracy, robustness and learning capacity. The accuracy related to sensitivity, specificity, PPV, and NPV. With this SLR, researchers have gained an overall overview of the area and an outline for future work.
Regulate the clinical data by enforcing stringent data management practices and mitigate the deviation in data collection and recording. The study protocol will define the source of data collection with Case Report Forms (CRFs), method of storage paper/ electronic and information retained for data archiving. Each subject will be identified with unique ID and Subject Identification Log will be maintained separately from trail analysis documents. The DMS prevents unblinding of specific documents, which protect the privacy and confidentiality of the subject, unless required by the study protocol. Identifiable documents and records will be maintained in accordance with the data retention period as specified in the protocol and the requirement of the regulations and IRB. Any update or changes implemented will be recorded in the revision history of the respective documents. The clinical trial team will be trained on clinical documentation and
This systematic review conducted by Takeda A, Taylor SJC, Taylor RS, Khan F, Krum H, Underwood M, (2012) sourced twenty-five trials, and the overall number of people of the collective trials included was 5,942. Interventions were classified and assessed using the following headings.-
Personally I understand that critical thinking is a way of using several concepts to identify solutions and determine a course of action to solve patient’s care problem. Every patient that comes to the hospital is looking up to the health care team to solve the problem with which they are presenting; therefore the nurse must be able to explore all avenues to solve their care problems.
Methodological quality was independently assessed by using the Maastricht-Amsterdam Criteria List. The qualitative and quantitative characteristics of the selected trials were independently extracted by using a standardized data extraction form. Levels of evidence were used to determine the strength of the evidence available. It was not possible to perform meta-analyses because of the heterogeneity of the selected studies. Standard operating procedures were adopted for data collection and assimilation. The report is based on the DAP, SOAP and BIRP notes collected while preliminary studies and treatment methodology.
I chose this study because it has a large cohort which eliminates sample bias. High quality data could be obtained from this longitudinal epidemiological ...
In this section, the results of the research are presented. For each task carried out, the most important information obtained is presented.
O'Brien, D. (2009). Randomized controlled trials (RCTs). In R. Mullner (Ed.), Encyclopedia of health services research. (pp. 1017-1021). Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org.proxy1.ncu.edu/10.4135/9781412971942
The report also tells us how BCG matrix can be used as a guide for
Medical and medication errors and adverse events are well known issues in the health care industry, regardless of country. Errors are either the correct implementation of the wrong procedure or the wrong implementation of the correct procedure (IOM, 1999 pp23-25). Adverse events are considered unintended injuries and/or harm that are caused to the patient but not necessarily due to human error. This proposal will present a technical solution, using case based reasoning, to help prevent the occurrence of errors, thus reduce adverse events, and to make suggestions to the line staff as to what to do when such an event or error happens.
This approach includes two processes, training and classification (Chelali, Djeradi & Dejradi, 2009). In the training process, a subspace will be established by using the training samples, and then the training faces will be projected onto the same subspace. In the classification process, the input face image will be measured by Euclidean Distance to the subspace, and a decision will be made, either accept or reject.
Plecas, D., McCormick, A. V., Levine, J., Neal, P., & Cohen, I. M. (2011). Evidence-based
The development of knowledge requires a number of processes in order to establish credible data to ensure the validity and appropriateness of how it can be used in the future. For the healthcare industry, this has provided the ability to create and form new types of interventions in order to give adequate care across a of number of fields within the system. Research then, has been an essential part in providing definitive data, either by disproving previous beliefs or confirming newly found data and methods. Moreover, research in itself contains its own process with a methodological approach. Of the notable methods, quantitative research is often used for its systemic approach (Polit & Beck, 2006). Thus, the use of the scientific method is used, which also utilizes the use of numerical data (Polit & Beck). Here, researches make use of creating surveys, scales, or placing a numerical value on it subjects (Polit & Beck). In the end the resulting data is neutral and statistical. However, like all things its approach is not perfect, yet, it has the ability to yield valuable data.
Weaknesses: Not as well controlled as Designed of Experiments, usually requires more computing resources, and relies on large amount of repeated random sampling in order to obtain an approximate result
In the health care industry, gathering information in order to find the best diagnosis route or even determine patient satisfaction is necessary. This is complete by conducting a survey and collecting data. When the information is complete, we then have statistical information used to make administrative decision within the healthcare field. The collection of meaningful statistics is an important function of any hospital or clinic.
The findings are then summarised and accordingly stated with the help of standard methodologies which are then concluded providing with the various limitations and the recommendations.