Wednesday, May 6, 2020
Information Technology Ethics Syndromic Surveillance System
Question: Discuss about the Information Technology Ethics for Syndromic Surveillance System. Answer: Introduction: First of all, while identifying the challenges it has been found that, the agency is facing major challenges. A health organization should keep the necessary data in database storage; in this, case most amounts of data are required to be collected from the hospitals and from the emergency rooms. In order to manage huge amount of data it is strictly needed to develop an application interface and all other technical supports are also necessary to be adopted (Wagner et al., 2004). However, the agency is lagging to develop and support the interface which is a major challenge to the agency. The functionalities served by the agency are completely uneven by nature. Moreover, the budget required to develop the interface is also not enough from the organizational perspectives (McGarry, 2016). In order to combat these challenges the agency is required to build software integrated packages. With the help of this software the agency will be able to share the details about the patients including their personnel detail and their problems too. Development of regulations is needed for data security. Secondly, another challenge is the privacy, the IS must be designed such that the system and details of the patients can keep secured from the external attacks. Third one is, the hospitals must implement a federal grant. Before the implementation and execution of the system it is needed to produce a fund in the initial stage, to support the system (Hoinville et al., 2013). In order to ensure the financial stability of the system, the agency should develop operational strategies. In the end of the federal fund, proper application capabilities and capability to analyze or detect the problems are required to be adopted. Lastly, another major problem might occur during the analysis. It means the agency should ensure that they have all the appropriate tools and expertise staffs that are required for data analyzing (Drea et al., 2014). While detecting the exact issue, two kinds of problem can come in front of vision. One will be the original and the other will not be; thus experts must distinguish them properly which is very difficult. Incorrect detection of problems will hamper the trustworthiness of the public. In order to avoid this, the workers should never under react or overreact in any tough situation. It has been found that the roles and responsibility of software, hardware and other analytical tools are very important for technical partnership. In order to develop and surveillance application with appropriate settings outbreak detection is needed to be improved (Wagner et al., 2004). The health agencies and other laboratories should incorporate the technical partnership to identify and mitigate the issues. These kinds of collaboration include information technology and epidemiologists specialists. The process is required to develop, informal professional network that is required to identify the possible solutions including the needs. The purpose of developing a syndromic surveillance system is to collect rather analyze the syndromes that might generate on an pre existing electronic data centre such as organizational health records, schools attendance tracker, production record of a pharmacy etc. Thus, it can be said that, syndromic surveillance system is referred to as a non-clinical disease indicator and it is able to identify specified symptoms only (McGarry, 2016). For example, the hospital uses different application vendors and diverse data standard. The IT staffs working for the hospitals are unwillingly diverted. A strong privacy advocacy group has expressed an alarm, system to identify the potential problems. The morbidity trends are characterized and detected by the wider usage of syndromic surveillance system. It holds an early life of defense system to develop the settings new emerging technologies (Kakkar et al., 2014). On the other hand, it can be said that, the syndromic surveillance system can help to detect the issue in the early stage before it affect the entire system. Initial detection will help to resolve the problem very soon along with this the market will also get benefitted from the system. Advanced emerging technologies and different evaluation interventions from various resources will also help to detect the problem in the early stage (Ruple?Czerniak et al., 2014). It will stop the infection to spread with speed and the system will provide high security for taking precautions and awareness in data collection and premature interruption. In order to develop electronic syndromic surveillance system, many agencies are adopting new technologies in terms of network management as well. These technologies will help to overcome these issues. References Drea, F. C., Lindberg, A., McEwen, B. J., Revie, C. W., Sanchez, J. (2014). Syndromic surveillance using laboratory test requests: A practical guide informed by experience with two systems.Preventive veterinary medicine,116(3), 313-324. Hoinville, L. J., Alban, L., Drewe, J. A., Gibbens, J. C., Gustafson, L., Hsler, B., ... Strk, K. D. C. (2013). Proposed terms and concepts for describing and evaluating animal-health surveillance systems.Preventive veterinary medicine,112(1), 1-12. Kakkar, M., Rogawski, E. T., Abbas, S. S., Chaturvedi, S., Dhole, T. N., Hossain, S. S., Krishnan, S. K. (2013). Acute encephalitis syndrome surveillance, Kushinagar district, Uttar Pradesh, India, 2011-2012.Emerging infectious diseases,19(9), 1361-1367. McGarry, R. (2016). Demystifying the Victimized State A CivilMilitary Crisis in Waiting?.Illness, Crisis Loss, 1054137316675717. Ruple?Czerniak, A. A., Aceto, H. W., Bender, J. B., Paradis, M. R., Shaw, S. P., Van Metre, D. C., ... Morley, P. S. (2014). Syndromic surveillance for evaluating the occurrence of healthcare?associated infections in equine hospitals.Equine veterinary journal,46(4), 435-440. Wagner, M. M., Espino, J., Tsui, F. C., Gesteland, P., Chapman, W., Ivanov, O., ... Hutman, J. (2004). Syndrome and outbreak detection using chief-complaint dataexperience of the Real-Time Outbreak and Disease Surveillance project.Morbidity and Mortality Weekly Report, 28-31.
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