Mar 11, 2024
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Service categories
Service Lines
Big Data
Software Development
Domain focus
Healthcare
Other
Frameworks
Hadoop
Challenge
The potential of big data in healthcare and the need for smarter decision-making led our partner to consider a big data system with the following capabilities: management of electronic health records and insightful analytics; predictive analytics for early disease detection and prevention; real-time patient monitoring and alert messaging for medical staff; enhanced patient data security within the system; collection of health data from clinic-owned wearables for at-home use; integration of data from various sources, such as clinics, laboratories, and diagnostic facilities; management of medication stock.
The potential of big data in healthcare and the need for smarter decision-making led our partner to consider a big data system with the following capabilities: management of electronic health records and insightful analytics; predictive analytics for early disease detection and prevention; real-time patient monitoring and alert messaging for medical staff; enhanced patient data security within the system; collection of health data from clinic-owned wearables for at-home use; integration of data from various sources, such as clinics, laboratories, and diagnostic facilities; management of medication stock.
Solution
The solution involved implementing the most effective cutting-edge big data solutions and practices. This included utilizing a combination of technologies such as Hadoop, Apache Spark, MongoDB, Plotly, and Cassandra to handle different aspects of data storage, processing, visualization, and analytics. The team also integrated machine learning algorithms and predictive analytics to enhance healthcare decision-making and patient care.
The solution involved implementing the most effective cutting-edge big data solutions and practices. This included utilizing a combination of technologies such as Hadoop, Apache Spark, MongoDB, Plotly, and Cassandra to handle different aspects of data storage, processing, visualization, and analytics. The team also integrated machine learning algorithms and predictive analytics to enhance healthcare decision-making and patient care.
Results
The client obtained a highly functional big data management system with ML algorithms and predictive analytics, modernizing healthcare services in their clinic: 25% more accurate diagnoses, improving patient outcomes; 42% increase in early disease identification and treatment, promoting preventive care; 34% reduction in readmissions, enhancing patient recovery and reducing costs.
The client obtained a highly functional big data management system with ML algorithms and predictive analytics, modernizing healthcare services in their clinic: 25% more accurate diagnoses, improving patient outcomes; 42% increase in early disease identification and treatment, promoting preventive care; 34% reduction in readmissions, enhancing patient recovery and reducing costs.
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