IMPROVING DATA VISUALIZATION AS A SUPPORT TOWARDS DATA-DRIVEN DECISION MAKING FOR EXECUTIVES IN HOSPITAL X

• Main Author: Ryan Adyatma, Rifat
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71082
• Institution: Institut Teknologi Bandung

Located in South Jakarta, Indonesia, Hospital X is one of the most popular children and women's hospitals in the region. With 5 in total operating hospitals and 2 clinics, Hospital X is looking further to improve its processes to deliver better healthcare service using data to support their business activities. Difficulties that were found was not the availability of the data itself rather than how data couldnt be digested by the decision makers, resulting in the decision making process less fact-based. This research aims to investigate the current data visualization practices in Hospital X and identify areas for improvement in order to support data-driven decision making for executives. Data visualization transforms data into an insightful visual to be perceived and digested by the decision makers, making it a crucial step to be considered in the process of data driven decision making. This research will be conducted in a qualitative approach including surveys and interviews in a focus group discussion setting with executives to understand their data visualization needs and preferences, as well as an analysis of the current data visualization tools and methods used in the hospital. Based on the findings, it is discovered that the usage of data analytics in Hospital X has not been maximized. Data and each of its processes to retrieve data in Hospital X has not been defined properly, making ideas to generate and use data less clear. Moreover, the visualization process in Hospital X has been reactive to specific circumstances, resulting in less creative usage of data analysis and data generated, making the process of implementing data-driven decision making more difficult. Recommendations for improving data visualization will be proposed, including the implementation of new tools and methods, and best practices for data visualization design. The ultimate goal of the research is to increase the effectiveness and efficiency of data-driven decision making for executives in Hospital X.