Essays on The Key Aspects of Computational Analytics for Value Networks Assignment

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The paper "The Key Aspects of Computational Analytics for Value Networks" is a Business assignment.   The emergency department is faced with the reality of receiving emergence cases that requires the same attention. Many emergency departments do not want to perceive waiting and delays in providing emergency services. The case presented shows that there are significant obstacles that may cause delays and saving life.   One of the obstacles is getting or receiving a large number of emergency patients as is the case presented. Even though there is no evidence indicating that there will be a delay, this does not seem the case.

Optimization of patient flow to the emergency department is attributed to tangible and intangible services, (Lowthian et al. 2011, 63). Examples of tangible emergency department resources include services from the nurses who are the emergency department services providers, the doctors, and equipment that deal with the emergencies. These equipment are not limited to the emergency room, but they also include the emergency vehicle, the dispatch paramedical who will fetch the patients from the location of the accident. Technical efficiency The Emergence Dispatch The quality of the emergency dispatch unit relies on when every second matter during an emergency.

The ED requires cutting edge technology, modern equipment, adequate communication, and professional skills who are first responders. The Emergence Dispatch requires quick and efficient management of a variety of resources that seamlessly meet the needs of the patients who need emergency hospital services. When those at the accident scene call 000 for an emergency, a high qualified advanced personnel dispatcher dispatches an emergency team and an ambulance to the accident scene. The dispatcher quickly processes both emergent and non-emergent transportation requests.

The dispatcher has at his disposal a computer-aided dispatch system that captures the data of the nearby available ambulance services.

References

Jarousse, L.A. 2011. Emergency Department Throughput. Hospitals & Health Networks. Retrieved on May 28, 2017 from http://www.hhnmag.com/articles/4359-emergency-department-throughput

Blau, B., Kramer, J., Conte, T. and Van Dinther, C., 2009, July. Service value networks. In Commerce and Enterprise Computing, 2009. CEC'09. IEEE Conference on (pp. 194-201). IEEE.

Patterson, P.D., Pfeiffer, A.J., Weaver, M.D., Krackhardt, D., Arnold, R.M., Yealy, D.M. and Lave, J.R., 2013. Network analysis of team communication in a busy emergency department. BMC health services research, 13(1), p.109.

Lowthian, J.A., Cameron, P.A., Stoelwinder, J.U., Curtis, A., Currell, A., Cooke, M.W. and McNeil, J.J., 2011. Increasing utilisation of emergency ambulances. Australian Health Review, 35(1), pp.63-69.

Eckstein, M. and Chan, L.S., 2004. The effect of emergency department crowding on paramedic ambulance availability. Annals of emergency medicine, 43(1), pp.100-105.

Feldman, M.J., Verbeek, P.R., Lyons, D.G., Chad, S.J., Craig, A.M. and Schwartz, B., 2006. Comparison of the Medical Priority Dispatch System to an Out‐of‐hospital Patient Acuity Score. Academic emergency medicine, 13(9), pp.954-960.

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