Abstract
Healthcare is one of the biggest and complex service sectors, where the decision needs to be taken quickly, accurately and effectively. Especially service improvement decisions in Intensive Care Units (ICU) which are considered to be a predominant factor. In this study, a collaborative decision-making framework is developed to improve the Patients' Service Quality in the ICU including multiple stake-holders. The key criteria, alternatives that can advance the service quality in the ICU are identified from in-depth literature analysis. In this study, the best-worst method (BWM) is integrated with Multi-Actor Multi-Criteria Analysis (MAMCA) method to capture the stake-holder's opinion. This integrated framework allows stakeholder groups to participate in the decision-making process and to select an effective strategy to improve the patients' service quality. The result shows that hiring part-time physicians and medical staff, and hiring full-time physician and medical staff are the best solutions to improve the service quality in ICU based on physician and patient stake-holders, respectively.
| Original language | English |
|---|---|
| Title of host publication | 2020 International Conference on Decision Aid Sciences and Application, DASA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 597-600 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728196770 |
| DOIs | |
| State | Published - 8 Nov 2020 |
| Externally published | Yes |
Publication series
| Name | 2020 International Conference on Decision Aid Sciences and Application, DASA 2020 |
|---|
Bibliographical note
Publisher Copyright:© 2020 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- BWM
- Decision-making
- Healthcare
- ICU
- MAMCA
- Multiple Stake-holder
- Service quality
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Optimization
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