Healthcare Data Platform: Enhancing Decision-Making with a Centralised Data Source

In the dynamic world of healthcare, effective management of personnel and equipment is pivotal for optimal performance. Streamlining the flow of information not only leads to efficient planning, but also results in reduced operational costs and higher quality of healthcare. For instance, having all medical data centralized guarantees immediate access to patient records, significantly reducing the time needed for data retrieval. Analyzing data from robotic devices further allows for better training of surgical robots based on comprehensive case data, leading to improvements in device quality and surgical processes. Adapting modern technology solutions is crucial for the future of healthcare organisations. 

Datumo’s Healthcare Data Solutions 

At Datumo, we understand the complexities and challenges faced by healthcare organizations in managing vast amounts of data. Our expertise lies in enhancing healthcare data management through data interoperability, data integration, predictive analytics, and operational efficiency. Our solutions, utilising technologies such as Databricks, Azure Machine Learning, and scalable cloud storage on Azure ADLS, are designed to meet the diverse needs of medium to large healthcare organizations. If you would like to learn more, check our article “Introduction to Machine Learning Operations on Azure”. We also invite you to discover more about the role of automation in the world of MLOps. 

Healthcare Data Ingestion and Integration

Our end-to-end architecture ensures a smooth and consistent data flow throughout the centralised data system. It facilitates decision-making, improving patient care and optimizing treatment plans. This is all thanks to cloud-hosted healthcare databases. By utilizing Airflow orchestration, we enhance the scalability and efficiency of data workflows, reducing manual effort and optimizing resource allocation, which leads to increased productivity and cost savings. The integration of Databricks and Azure ADLS further enables efficient ETL operations and real-time data streaming, ensuring high performance and timely data availability, as well as patient data security. 

Benefits:

• Facilitated Decision-Making: Better patient care coordination, optimized treatment plans, improved healthcare outcomes, improved patient experience
• Workflow Efficiency: Enhanced orchestration and scalability of data workflows, reduced manual effort, consistency and standardization,    
• Business Insights: Faster data retrieval and better business insights.

Smart Device Management

Our advanced predictive maintenance uses real-time monitoring and a closed control loop powered by cloud infrastructure and Databricks. This allows us to predict and address device issues, sending corrective commands back to the devices when problems are detected. As a result, device downtime is significantly reduced, increasing reliability and enhancing patient care.

Benefits:

• Reduced Device Downtime: Increased reliability, operational continuity and cost reduction
• Enhanced Patient Care: Improved operational efficiency, patient experience improvement and fewer disruptions

Automation and Optimization with MLOps Pipelines

Our MLOps pipelines ensure continuous availability of ML models, facilitating reliable and uninterrupted use of AI-driven solutions. This reduces time-to-market for these solutions and enhances the ability to quickly adapt to changing business needs. Through ML system monitoring and advanced analytics with MLFlow, we guarantee high reliability, reducing the risk of system failures, while boosting workflow effectiveness.

Benefits:

• Rapid Adaptation: Faster integration and deployment of new AI-driven solutions.
• Stable Operations: High reliability, better data security and reduced risk of system failures.
• Accelerated Experimentation: Improved insights and rapid model refinements.

Benefits of improved medical data management

The implementation of Datumo's solutions has led to substantial improvements in operational efficiency and patient care quality for our existing Clients:

• Reduction in Data Access Time: Centralizing medical records has reduced the time required to find and access relevant information by approximately 50%. Before implementation, medical staff typically spent about an hour searching for the appropriate patient data. Now, this time has decreased to minutes due to the consolidation of data.
• Reduction of Operational Costs: By centralizing IT systems, operational costs have been reduced by an estimated 20-30%.
• Improvement in Device Quality: Analysis of robotic device data led to an estimated 10-15% reduction in service requests.
• Increased Efficiency of Surgical Procedures: While the duration of surgical procedures remains similar, the number of complex surgeries performed daily has increased from 2 to 6, thanks to robotic assistance reducing surgeon fatigue.
• Faster Integration of New Devices: Thanks to the system's scalability, device integration has been optimized. Reliable, previously unavailable data, is now provided by the platform.
• Data Integrity: With the implementation of new solutions, the system has achieved 98% data collection, reducing data loss to a maximum of 2% in the form of late events. Ultimately, 100% data collection has been achieved with a maximum delay of 15 minutes, significantly enhancing reliability and efficiency.
• Data Availability: The system reached an SLA of 99.5%, ensuring the system remains accessible almost all the time.

We encourage you to learn more about the Big data project for Healthcare from a technological perspective. If you would like us to design and implement solutions that will bring these benefits to your organisation, make a Big Data breakthrough.

Efficient healthcare data management - summary

By partnering with Datumo, healthcare organizations can and have transformed their data management by addressing their unique challenges. It is commonly known and proved that this is essential. Our expertise in healthcare organizations data centralization, data integration and advanced analytics, powered by Databricks, Azure Machine Learning, and Azure ADLS, effectively addresses complex data management challenges. This enables better decision-making, improved patient care, and optimized treatment plans. Advanced predictive maintenance reduces device downtime, while MLOps pipelines ensure continuous availability of ML models, enhancing system reliability. Our solutions lead to significant improvements such as a 50% reduction in data access time, 20-30% lower operational costs, and a 10-15% decrease in service requests. 

Contact us to learn more about our innovative solutions and how we can help your organization thrive in the digital age.