The U.S. based healthcare product company delivers a wide range of healthcare products to hospitals, health systems, and non-hospital markets, including surgery centers, home health care businesses, and extended care facilities.
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They wanted to analyze massive troves of unstructured patient data from wearables and other monitoring devices in real-time and draw actionable insights to improve medical staff productivity, avoid routine visits, and enhance the quality of care.
Key Challenges
- The healthcare product company needed a solution that could perform real-time analytics on the huge volumes of heterogeneous data coming from IoT applications and devices to gain value from the patients’ IoT device data
- The solution should be capable of real-time monitoring of patients and automatically provide alerts and initiate a response to healthcare professionals when a health problem is detected
Solution
- Sparity’s healthcare product experts designed an IoT architecture using Google Cloud
- As part of its cloud computing strategy, Sparity utilized Google Cloud SQL, which provides fully managed database services that allow them to focus on optimizing performance rather than performing operational tasks
- To handle an increased volume of data coming from different IoT devices, Sparity migrated services to Docker containers on Google Kubernetes Engine
- Employed DataFlow to deploy batch and streaming data processing pipelines and configured it to capture real-time event data from the Health Care IoT Devices
- Utilized BigQuery to store & analyze fluctuating volumes of real-time data from IoT applications and devices to generate actionable real-time insights that caregivers
- Used Tableau to create custom real-time dashboards using health care metrics to reflect patient’s current state
- Configured alerts and notifications on the dashboard to notify caregivers on mobile and email in case of adverse events
- Processed data is pushed to a BigQuery to gain insights with real-time and predictive analytics and for future reference as well
Benefits
- Error-free and continuous monitoring
- Handle consumers’ medical emergencies better
- Reduced latency for reacting to adverse events
- Holistic reporting to improve company-wide visibility
- More than 95% of adverse events are triggered in near real-time, enabling quick reaction
- The cost of the solution went down by 40% with the use of scalable solutions on the cloud
