Design Healthcare Analytics with a Competitive Advantage
Healthcare is transforming to a value driven model. To succeed in this new environment, healthcare organizations require new insights about what’s working and what’s not—insights available only from accurate analysis of clinical and financial data. Realizing this potential means that healthcare organizations must understand and utilize their data in new ways.
An increasingly popular approach to unlocking this potential is to implement a data warehouse to power business intelligence and healthcare analytics. While doing so can deliver significant results, it is not easy. Initiatives in healthcare analytics and data warehousing often take too long, cost too much, and deliver too little. Other challenges include the lack of trust arising from inconsistent data quality and the high cost of multiple iterations caused by misinterpreted requirements. To overcome these barriers, organizations need robust information management capabilities.
The Informatica Solution for Healthcare Analytics
Informatica offers an information management solution that transforms healthcare analytics. It achieves this by giving stakeholders the ability to access and trust data from any source—electronic healthcare records, data warehousing environments, databases, HL7 and EDI transactions, and more. Using this solution, developers, analysts, and administrators alike can include clinical and administrative data in healthcare analytics. The result: decision-making empowered with the most current and accurate data.
With this solution, you can:
- Lower the cost of data integration and establish confidence in healthcare analytics
- Save time by rapidly prototyping to model, test, and examine the results of adding data or an entire data source
- Increase efficiency by profiling and cleansing data and promoting an ongoing approach to reliable data quality
- Boost confidence in healthcare analytics with best-in-class data quality capabilities offering full transparency from source to target
- Enhance agility by completing upstream and downstream impact analyses as business and clinical requirements change
Key Capabilities of the Informatica Solution for Healthcare Analytics
The Informatica solution powers innovative healthcare analytics by putting to work data management capabilities and best practices. With this solution, your organization can establish confidence in healthcare analytics by repurposing efforts to work smarter and collaborating with real-time access to data, regardless of its format or source.
Unlike competing offerings, the Informatica solution provides transparency into the origin and history of your data through data lineage. And intuitive user interfaces and self-service capabilities enable faster time to market and reusability for improved decision-making among business, clinical, and IT users. This solution furnishes data integration and data quality for empowering healthcare analytics and successful data warehousing projects. Accessibility and accuracy of data improve business and IT collaboration and foster confidence.
Based on the industry-leading Informatica Platform, the Informatica solution for healthcare analytics features the following capabilities:
- Seamless integration with existing IT environments
- Impact analysis to show developers the effects of proposed changes before they're implemented
- Rapid prototyping to streamline collaboration between stakeholders and IT, reducing project delivery times and improving data integrity
- Transparency into data lineage to foster trust in data
- Support for data migration from legacy applications
- Concurrent data processing to enhance the performance and scalability of data integration environments
- Workload distribution across multiple servers and optimized resource usage through adaptive load balancing to meet increased project demands
- Version control and configuration management to fully empower data integration developers
- Access to a wide variety of data systems and formats including HL7 (when complemented by Informatica PowerExchange), including structured, unstructured, and semistructured data; relational data; mainframe data; file data; standards-based data; and message queue data