alexa Post-operative Complications: Can We Become More Pro-active and Less Reactive?
ISSN: 2161-1076

Surgery: Current Research
Open Access

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Commentary

Post-operative Complications: Can We Become More Pro-active and Less Reactive?

Hani N Mufti1,2*

1Division of Cardiac Surgery, Department of Surgery, Queen Elizabeth II Health Sciences Centre, Dalhousie University, 2269-1796 Summer Street, Halifax, NS B3H 3A7, Canada (Current Training Institute)

2Department of Surgery, King Saud Bin-Abdulaziz University for Health Sciences, King Abdulaziz Medical City, National Guard Health Affairs, Jeddah, Saudi Arabia

*Corresponding Author:
Hani Mufti
Department of Surgery, Division of Cardiac Surgery
Queen Elizabeth II Health Sciences Centre, Dalhousie University
2269-1796 Summer Street, Halifax, Nova Scotia B3H 3A7, Canada
Tel: +1(902) 473-7597
Fax: +1(902) 473-4448
E-mail: [email protected]

Received date: December 23 , 2013; Accepted date: February 11, 2014; Published date: February 20, 2014

Citation: Mufti HN (2014) Post-operative Complications: Can We Become More Pro-active and Less Reactive? Surgery Curr Res 4:178. doi: 10.4172/2161-1076.1000178

Copyright: © 2014 Mufti HN. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

In this current era of massive datasets, and with the economic environment in its current state, funding and resources are getting scarcer. With this in mind, health care professionals should direct their focus to not only improving but also optimizing the quality of delivered care. With a shift in medicine’s objectives, away from overall tallies of patients and procedures and towards patient satisfaction, quality of care and financial bottom lines, there is ever-greater pressure to find ways to maximize care in efficient ways by extracting useful information from the mountains of data being produced. Such approaches to extracting information from data are already being heavily applied in different business and marketing domains, and they are slowly finding their way into the medical domain. Data mining, in particular, is used in many industries for uncovering hidden patterns and important information that can be analyzed, summarized and presented to decision makers, executives, managers, and organizational leaders in order to help them take the appropriate decisions and actions to increase revenue, ensure customer satisfaction and guarantee prosperity. If we can imitate this business model in the medical domain, restructuring the care model from a physician-driven to a more patient-centered care. This can be accomplished by presenting the patient with the facts and information that is extracted from the similar patterns via mining of large data sets, presenting them with all possible choices, illustrating different scenarios and putting the patient in control of their own health. In doing so, we will achieve an optimal health system that is populated by well-informed and satisfied customers/patients.

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