A New Tool Preliminary Assessment on Temporal-Comorbidity Adjusted Risk of Emergency Readmission (T-CARER)

Tim Chen, Hendri Daleanu, Chi-Huey Wong* and J.C.-Y. Chen
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Tim Chen: School of Industrial Engineering, West Lafayette, Purdue University, USA School of Computer Science and Informatics, Faculty of Technology, De Montfort University, LE1 9BH Leicester, UK
Hendri Daleanu: Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia Institute of Space Sciences, Magurele¡VBucharest, Romania
Chi-Huey Wong*: Institute of Biochemistry and Molecular Biology, National Yang-Ming University, Taipei 112, Taiwan Genomics Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 115, Taiwan
J.C.-Y. Chen: NAAM Research Group, King Abdulaziz University, Jeddah 21589, Saudi Arabia St Petersburg Univ, Dept Math & Mech, Univ Skii 28, St Petersburg 198504, Russia

Sumerianz Journal of Medical and Healthcare, 2019, vol. 2, issue 1, 1-4

Abstract: Patients’ comorbidities, operations and complications can be associated with reduced long-term survival probability and increased healthcare utilisation. The aim of this research was to produce an adjusted case-mix model of comorbidity risk and develop a user-friendly toolkit to encourage public adaptation and incremental development. It has been shown in healthcare research that demographics, temporal dimensions, length-of-stay and time between admissions, can noticeably improve the statistical measures related to comorbidities. The proposed model incorporates temporal aspects, medical procedures, demographics, and admission details, as well as diagnoses. The research resulted in the development of Temporal-Comorbidity Adjusted Risk of Emergency Readmission (T-CARER) model using routinely collected hospital data.

Keywords: Multiple criteria decision making; Interval-valued belief distribution; Evolutionary algorithm; Accuracy; Efficiency. (search for similar items in EconPapers)
Date: 2019
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