Sunday, November 20, 2016

Hospital Senario

I would join the first group of managers who have chosen an objective decision-making approach rather than the second group, which is subjective. The root cause of the problem in hand should be analyzed in an unbiased approach and without involving emotions and personal opinions which might arise from asking the staff through questioners or interviews, the information generated by the first approach will give accurate and realistic figures, which will aid the management to do proper root cause analysis, eliminating the predictions and estimations.

Decision-making depends on the information gathered, to help the management we have to look for explicit information rather than inconsistent. That information will be inputs for decision-making process and we should reduce doubts, uncertainties and the number of uncontrolled inputs. And this can be achieved only by gathering reliable information to reduce the risks caused by the decision and provide clear base, which a decision can be made, based on. Posas and Fische (p. 101) argue that “distortions in thinking can be developed in an individual’s cognitive structure over time” and opinions can be manipulated by attitudes, beliefs, values, regret and person’s own personality. For that relying on personal opinion from staff will not give us reliable information to form our judgment based on. As well feedback from staff in this hospital can be influenced by conflicts between nurses and doctors, ambulance staff and nurses and their opinion might be out of context and not related to the problem in hand

Working as a manager for a group of system administrators, I noticed that the system administrator is busy with user incidents most of this time, and cannot find enough time to maintain the systems. To analyze the root cause of this issue, we started looking for tangible information to help us identify the problem and try to fix it, we generated a report from the service desk system that include all incidents assigned to system administrator, time to resolve and the type of requests. The report showed that most of the incidents were of a single type that consumed 70% of his time. Even though he is the one working on those incidents he couldn’t give us accurate information to rely on and identify the issue, maybe because he wanted the easy work, or he couldn’t quantify the problem the way it was supposed to be done.

After we analyze the information generated by the system that gives us all required information about patient from the moment they reach the hospital till they leave, and check if we lack for beds, staff levels, average waiting time and severity of the cases are identified, we can reach a more accurate decision on what needs to be done based on the gathered information. If I am let to decide freely I would choose both ways as they complete each other, and would recommend a set of questioner for the patients as well to cover all stakeholders. But as I have to choose only one, I strongly support the first group.

Reference:

Arsham, H., (1994), ‘Leadership Decision Making’, [Online], Available from:
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Ghiselin, J., (1982), ‘Reaching environmental decisions: Making subjective and objective judgments’ Environmental Management, Business and Economics, V.6, Issue 2, pp. (103-108), doi: 10.1007/BF01871430, [Online], Available from:
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Posas, P. & Fischer, T., (n.d.), ‘Organisational behaviour and public decision making in the EA context’, [Online], Available from: http://www.twoeam-eu.net/handbook/03.pdf
(Accessed 6 May 2011)

Terris, J., et al., (2004), ‘Making an IMPACT on emergency department flow: improving patient processing assisted by consultant at triage’, doi: 10.1136/emj.2002.003913, [Online], Available from: http://emj.bmj.com/content/21/5/537.full.pdf
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Tiessen, P, & Baker, D 1977, 'Human Information Processing, Decision Style Theory and Accounting Information Systems: A Comment', Accounting Review, 52, 4, p. 984, Business Source Premier, [Online], Available from: http://web.ebscohost.com.ezproxy.liv.ac.uk/ehost/detail?sid=97559471-370e-4bcd-8cd7-cef8e3193e06%40sessionmgr11&vid=1&hid=11&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#db=buh&AN=4505175
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Zeelenberg, M. & Beattie, J. (1997), ‘Consequences of Regret Aversion 2: Additional Evidence for Effects of Feedback on Decision Making’ ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, Vol. 72, No. 1, October, pp. 63–78, 1997, [Online], Available from: http://alexandria.tue.nl/repository/freearticles/611911.pdf
(Accessed 6 May 2011)


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