Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis

When referring physicians decide to refer their patients to specialist care, they rarely, if ever, make a referral decision with the benefit of having access to all of the desirable information. It is therefore highly unlikely that the referring physician will make the optimal choice of specialist f...

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Bibliographic Details
Main Author: Carrick, Curtis
Other Authors: ElMekkawy, Tarek Y. (Mechanical Engineering) Oppenheimer, Luis (Medicine)
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/1993/21711
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-217112014-07-04T04:09:45Z Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis Carrick, Curtis ElMekkawy, Tarek Y. (Mechanical Engineering) Oppenheimer, Luis (Medicine) Peng, Qingjin (Mechanical Engineering) Francois, Jose (Medicine) e-referral decision support system process analysis algorithm optimization health care When referring physicians decide to refer their patients to specialist care, they rarely, if ever, make a referral decision with the benefit of having access to all of the desirable information. It is therefore highly unlikely that the referring physician will make the optimal choice of specialist for that particular referral. A specialist selection optimization algorithm was developed to guarantee that the “right specialist” for each patient’s referral was chosen. The specialist selection optimization algorithm was developed based on feedback from over 120 users of the e-referral program. The developed algorithm was simulated, tested, and validated in MATLAB. Results from the MATLAB simulation demonstrate that the algorithm functioned as it was designed to. The developed algorithm provides referring physicians with an unprecedented level of support for their decision of which specialist to refer their patient to. 2013-07-08T16:15:05Z 2013-07-08T16:15:05Z 2013-07-08 http://hdl.handle.net/1993/21711
collection NDLTD
sources NDLTD
topic e-referral
decision support system
process analysis
algorithm
optimization
health care
spellingShingle e-referral
decision support system
process analysis
algorithm
optimization
health care
Carrick, Curtis
Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
description When referring physicians decide to refer their patients to specialist care, they rarely, if ever, make a referral decision with the benefit of having access to all of the desirable information. It is therefore highly unlikely that the referring physician will make the optimal choice of specialist for that particular referral. A specialist selection optimization algorithm was developed to guarantee that the “right specialist” for each patient’s referral was chosen. The specialist selection optimization algorithm was developed based on feedback from over 120 users of the e-referral program. The developed algorithm was simulated, tested, and validated in MATLAB. Results from the MATLAB simulation demonstrate that the algorithm functioned as it was designed to. The developed algorithm provides referring physicians with an unprecedented level of support for their decision of which specialist to refer their patient to.
author2 ElMekkawy, Tarek Y. (Mechanical Engineering) Oppenheimer, Luis (Medicine)
author_facet ElMekkawy, Tarek Y. (Mechanical Engineering) Oppenheimer, Luis (Medicine)
Carrick, Curtis
author Carrick, Curtis
author_sort Carrick, Curtis
title Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
title_short Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
title_full Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
title_fullStr Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
title_full_unstemmed Developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
title_sort developing an optimization algorithm within an e-referral program for clinical specialist selection, based on an extensive e-referral program analysis
publishDate 2013
url http://hdl.handle.net/1993/21711
work_keys_str_mv AT carrickcurtis developinganoptimizationalgorithmwithinanereferralprogramforclinicalspecialistselectionbasedonanextensiveereferralprogramanalysis
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