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Revolutionizing Natural Disaster Response with IoT
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Event-Driven Application
Applicable Industries
- Cement
- Healthcare & Hospitals
Use Cases
- Search & Rescue
- Time Sensitive Networking
Services
- System Integration
The Challenge
Natural disasters pose a significant challenge to healthcare companies, particularly in terms of timely response and communication with members. A North American payer was grappling with this issue, seeking to improve their response system to better support their members during such crises. The challenge was compounded by the fact that since 1980, the United States has experienced 246 severe weather events, each causing over $1 billion in damages. These disasters affected hundreds of thousands of members, leaving them stranded with limited access to coverage, medication, or medical equipment. The company needed a solution that could deliver timely notifications to members and provide on-site support once they were safe.
About The Customer
The customer in this case study is a North American payer in the healthcare industry. They have hundreds of thousands of members who rely on their services for coverage, medication, and medical equipment. The company is committed to providing timely and effective support to their members, particularly during natural disasters. They recognized the need for a more proactive and efficient response system to better serve their members during these crises. The company sought to leverage technology to improve their communication and response times, ultimately aiming to provide deeper insights to leadership and better support for their members.
The Solution
The company leveraged Alteryx to create an Emergency Alert and Rapid Response system. The solution involved building three different workflows based on the normal order of a weather event. The first workflow focused on 'Before the event,' reviewing weather forecasting and natural disaster prediction. The second workflow was 'During the event,' merging emergency alerts with active weather data to allow for targeted communications. The final workflow was 'After the event,' understanding the impacts of a natural disaster and sharing them with leadership in a timely manner. The company used APIs to pull in weather data from government sources and configured the data to pull at various times to ensure accuracy. The data was then parsed and stitched together using Alteryx. The company combined member and weather data to visualize how members were affected by disasters. They built reports for every type of event and outputted to Tableau dashboards to identify real-time trends or insights.
Operational Impact
Quantitative Benefit
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