Client Overview
Our project is for a hospital group in Malaysia.
Malaysia’s healthcare and medical tourism industry is rapidly expanding, with private hospitals competing vigorously to capture international patients. The challenge lies in effectively identifying the most profitable markets for health tourists, which traditionally has relied on manual and rule-based methods.
Objectives
- Enhance market targeting precision to attract health tourists more effectively.
- Streamline and optimize the process of market selection to save time and improve outcomes.
- Boost revenue by focusing on the most promising international markets.
Challenges
A key challenge for the private hospital group is pinpointing the most lucrative markets for attracting health tourists.
Many hospitals currently rely on manual selection or quantitative ranking systems.
These systems assign weights to various pre-defined external and internal indicators, such as a country’s economic health, healthcare infrastructure, urban development, tourist arrival statistics, and potential revenue contribution. This rule-based selection process can be time-consuming and may not always capture the most relevant factors.
Solution
The hospitals adopted a comprehensive AI and data science approach:
- Data acquisition: Ingest a wide range of raw data to fuel a variety of predictive models. This data includes historical health tourism revenue figures, demographics data, global economic indicators, tourist statistics, flight information, social media data, and travel restrictions.
- Feature engineering: Utilize feature analysis and selection techniques to identify and prioritize the most relevant variables and indicators that significantly influence health tourism revenue contribution.
- Machine Learning for prediction: Implement state-of-the-art machine learning algorithms to develop models that predict the top potential countries for generating revenue from health tourism.
Results/Benefits
- Maximized ROI: A 25% increase in revenue for every dollar spent on marketing.
- Strategic targeting: Data-driven decisions on which countries to prioritize and how to allocate and mix the hospital’s marketing budget for optimal results.
- Reduced risk: Mitigated the risk of investing in the wrong markets or allocating the marketing budget ineffectively.
- Enhanced customer service: By anticipating potential customer needs (such as desired treatments), the hospital can personalize its marketing messages for a more effective and customer-centric approach.
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