How to evaluate the effectiveness and efficiency of the disease surveillance system
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Evaluating Automated Surveillance Systems for Tuberculosis.
System Evaluation Proposal (New) for tuberculosis
Research and identify two or three additional peer-reviewed articles related to evaluating disease surveillance systems.
Write a 2- to 3-page paper in which you:
- Propose how you would evaluate the effectiveness and efficiency of the disease surveillance system you have developed throughout the course.
- Identify and define the criteria you will include in your evaluation.
- Justify the selection of evaluation criteria.
Cite the two or three articles that informed your research for this section.
System Analysis (New)
Write a 2- to 3-page paper in which you analyze the cost, functionality, timeframe, and social, political, environmental, and economic elements of your surveillance system.
Conclusion (New)
Write a 1- to 2-page summary of your Project including a review of the purpose and goals of the Project, salient research findings, system features, analysis, implications, and limitations.
References (New)
Write a bibliography of research and Project resources compiled in APA format.
SAMPLE ANSWER
How to evaluate the effectiveness and efficiency of the disease surveillance system
The adoption of Automated Surveillance System in the tuberculosis treatment aims at helping health professionals assess the tuberculosis prevalence, initiate reliable intervention measures, and examine the epidemiology of the health complication. Therefore, the adoption of effective and reliable measures for evaluating the efficiency of the surveillance system will be relatively essential in reducing the regrettable effect of tuberculosis infection on patients and the entire society. The core aim of introducing Automated Surveillance Systems in the treatment of tuberculosis is to enhance confidentiality, timeliness, and accuracy. As a result, in order to evaluate the effectiveness of the Automated Surveillance Systems in the treatment and prevention of tuberculosis, scholars and healthcare professionals need to assess the accuracy of the system. Researchers will rely on the available medical information in assessing whether information given by patients are similar to the one presented in the system. Conducting interview among health professionals and the infected victims will be essential in examining the effectiveness of the system. Additionally, health professionals will be interested in evaluating the time taken in retrieving critical medical data. Timely retrieval of patients’ data will be an indication that the system is effective in supporting the prevention of tuberculosis in the modern society.
Furthermore, the Automated Surveillance Systems must have the ability of helping health professionals abide by the set ethical guidelines. Consequently, with the intention of evaluating the effectiveness and efficiency of the system, health professionals will focus at assessing whether the Automated Surveillance Systems hold the confidentiality principle. The system ability to comply with the existing confidential ethical guideline will be critical in examining the effectiveness of the modern technology in addressing tuberculosis challenges in the modern society (Thacker, Choi, & Brachman, 2009)
The assessment of the Automated Surveillance Systems ability to prevent and control the occurrence of tuberculosis in the future will be significant in influencing the efficiency of the system. Ideally, the main aim of introducing Automated Surveillance Systems in the treatment of tuberculosis is to help in the collection of accurate data essential in formulating reliable intervention measures. Furthermore, the adoption of Automated Surveillance Systems aim at assessing the impacts of the existing intervention programs in the treatment of tuberculosis. Therefore, the evaluation initiative will aim at examining whether the system has the ability of providing accurate data that could assist in the reduction of tuberculosis infection in the future. Successful Automated Surveillance Systems should also have the ability of providing reliable information that could assist in modifying educational and other critical risk-reduction initiatives and programs. Therefore, the evaluation of the applicability of the Automated Surveillance Systems in modern education sector will be essential in determining the effectiveness of system in the modern health sector (Hripcsak, Knirsch,Jain, Stazesky, Pablos-Mendez & Fulmer, 2009).
The evaluation of the Automated Surveillance Systems in the treatment of tuberculosis should also seek to examine the system’s ability to examine the long-term trend and the pattern of the disease. Precisely, the introduction of modern technology aims at easing the process of assessing the trend of the health problems. Effective assessment of the secular trend of any healthcare challenges helps in the adoption of reliable and effective plans for dealing with the health problem. Besides, the knowledge on the pattern of spread of tuberculosis will help health professionals set aside the necessary resources for dealing with the problem. Therefore, an effective Automated Surveillance Systems should provide data essential in predicting the pattern of the disease and the most effective intervention measures of dealing with the challenge (Yokoe, Subramanyan, Nardell, Sharnprapai, McCray & Platt, 1999).
Analysing critical elements in surveillance system
The proposed Automated Surveillance Systems will largely reduce the cost of treating and preventing tuberculosis. Although the cost of implementing the process may be relatively high, the outcomes of the project largely supersede the entire implementation cost. For instance, effective adoption of Automated Surveillance Systems will reduce the cost incurred in storing critical health record. The technology will equally be useful in minimising the cost of undertaking critical health researches. The timeframe for adopting Automated Surveillance Systems in the tuberculosis intervention measures is relatively limited compared to the other conventional intervention measures. The policy implementers will require roughly three to six months installing all the necessary machineries, software, and hardware. The project is also likely to reduce the time required in collecting and storing critical health records. Modern technology especially in healthcare sector aim at reducing the time required in retrieving critical health information.
Regarding the functionality of the project, Automated Surveillance Systems aim at integrating all stakeholders in the treatment of tuberculosis. The technology will offers an avenue where all stakeholders including family members and patients will share critical information on the most effective and applicable means of dealing with tuberculosis infections (Aryel, 2004). The technology will also be significant in enhancing the storage of critical information essential in supporting the spread of the disease. The project implementers will also have the mandate of ensuring that the technology fits with other equipment in the healthcare system. Based on the available data, effective application of Automated Surveillance Systems should address threatening social and ethical issues in the society. The technology ensures that health professionals uphold clients’ confidentiality and privacy. Besides, the initiative is critical in reducing social challenges that emerge due to the spread of tuberculosis infections in the society. Studies indicate that tuberculosis is among the leading killers diseases in developing and poor states. Therefore, the Automated Surveillance Systems will be vital in addressing social challenges that emerge due to high tuberculosis prevalence rate.
Automated Surveillance Systems will also be a critical tool in influencing making political decisions in the treatment and prevention of tuberculosis. For instance, political leaders will rely on the Automated Surveillance Systems data in making critical policies and regulations to prevent tuberculosis in the society. Equally, Automated Surveillance Systems will serve a critical role in facilitating the adoption of well-informed decisions on critical health issues. Automated Surveillance Systems will play a noticeable role in determining environmental factors that led to the spread of tuberculosis. The technology will also help in the classification of areas and regions that are prone to tuberculosis infections. The identification of environmental factors that could lead to increased spread of tuberculosis will be paramount in enhancing the adoption of reliable policies and intervention measures to deal with the problem. Studies further indicate that the modern technology has been playing a central role in addressing economic challenges (Wagner, Tsui, Espino, Dato, Sitting, Caruana & Fridsma, 2001). For instance, effective implementation of Automated Surveillance Systems in the prevention and treatment of tuberculosis will be significant in addressing financial challenges in modern healthcare system. The project will also be helpful in minimising the cost incurred in the treatment of tuberculosis. Additionally, the project will reduce research and development costs. Therefore, based on the presented data, the adoption of Automated Surveillance Systems in the treatment of tuberculosis will holistically address all issues and elements that hinder the success of the current intervention measures
Conclusion
The core aim of adopting the Automated Surveillance Systems in the treatment of tuberculosis is to understand and learn the pattern of the diseases occurrence. The system data will also be essential in facilitating the adoption of reliable and effective intervention and treatment measures. The project is also essential in enhancing the investigation, control, and prevention of tuberculosis. The available research data further indicate that an effective application of Automated Surveillance Systems will be essential in increasing effectiveness in the treatment of tuberculosis. Furthermore, Automated Surveillance Systems is vital in addressing various environmental, economic, social, and political elements that hinder the success of the conventional intervention measures.
In addition, some of the Automated Surveillance Systems features include storage and analysis software, data retrieval software, ability to detect future health changes, ability to identify host and agent factors, and the ability of identifying sudden changes and transformation in disease distribution and occurrences. The researchers will rely on modern software in analysing the effectiveness of Automated Surveillance Systems in the treatment of tuberculosis. The study on the efficiency of the Automated Surveillance Systems will have an implication on the manner in which scholars adopt modern means in the treatment of regrettable health challenges. In addition, modern scholars will have the ability and opportunity of applying modern technology in the collection of researches data. Although the project aims at improving the nature of services in modern health centres, it may witness some regrettable limitations that include limited resources and time, resistance, ethical challenges and legal issues.
References
Aryel, R. M. (2004). Public Health Surveillance: The Role of Clinical Information Systems. In Healthcare Information Management Systems (pp. 513-531). New York, NY: Springer New York
Hripcsak, G., Knirsch, C. A., Jain, N. L., Stazesky Jr, R. C., Pablos-Mendez, A., & Fulmer, T. (2009). A health information network for managing innercity tuberculosis: bridging clinical care, public health, and home care. Computers and Biomedical Research, 32(1), 67-76.
Thacker SB, Choi K, & Brachman P., (2009). The surveillance of infectious diseases. Medicine Journals, 249, (1)1181-1185
Wagner, M. M., Tsui, F. C., Espino, J. U., Dato, V. M., Sitting, D. F., Caruana, R. A., & Fridsma, D. B. (2001). The emerging science of very early detection of disease outbreaks. Journal of Public Health Management and Practice, 7(6), 51-59.
Yokoe, D. S., Subramanyan, G. S., Nardell, E., Sharnprapai, S., McCray, E., & Platt, R. (1999). Supplementing tuberculosis surveillance with automated data from health maintenance organizations. Emerging infectious diseases, 5(6), 779.
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