A data-driven approach to shared decision-making in a healthcare environment

Singh, Sudhanshu, Verma, Rakesh and Koul, Saroj (2021) A data-driven approach to shared decision-making in a healthcare environment. OPSEARCH, 59 (2). pp. 732-746. ISSN 00303887

[thumbnail of OPSEARCH2021.pdf] Text
OPSEARCH2021.pdf - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy


This case study proposes a novel methodology for hospital management to plan and implement short to medium-term improvement initiatives by integrating data-driven decision-making with Multi-Criteria Decision-Making/Analysis (MCDM/A). Historical data on 165 patients operated upon in eye surgery department was first analysed (using Tableau software) to provide overall insights supported by process mining (using Celonis software) to identify the process bottlenecks that require immediate attention. The bottlenecks led to the identification of issues and their potential solutions. These potential solutions were taken as alternatives and run through Visual PROMETHEE software that incorporates the PROMETHEE II method, an MCDM/A method. By adopting a visual approach, the hospital management could arrive at a quick consensus regarding the actual situation and bottleneck, potential solutions to issues identified and their comparative ranking in an interactive environment. While insights from data analysis bring a consensus on the issues requiring a resolution, the solutions to these issue(s) can be compared and ranked by utilising PROMETHEE II. Hence, this paper proposes a unique methodology that facilitates both short-term and medium-term decision-making by utilising visual means for understanding current reality and developing/exploring potential solutions to identified issues.

Item Type: Article
Keywords: Data-driven | Interactive | Decision support | Process-mining | PROMETHEE | Healthcare
Subjects: Physical, Life and Health Sciences > Public Health, Environmental and Occupational Health
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Syed Anas
Date Deposited: 11 Feb 2022 05:31
Last Modified: 27 Jun 2022 11:33
Official URL: https://doi.org/10.1007/s12597-021-00543-3
Additional Information: We thank the hospital management [name withheld due to confdentiality issues] in Central India for permissions to conduct this study. The authors thank the anonymous reviewers for their valued propositions that have made the paper more systematic and instructive.
URI: https://pure.jgu.edu.in/id/eprint/1188


Downloads per month over past year

Actions (login required)

View Item
View Item