Health & Life Sciences:
Because so much is riding on your data

Data is important in any industry, but in health and life sciences, it can literally be a matter of life and death. For healthcare providers, health insurers, and pharmaceutical, medical device and biotechnology companies, even minor inconsistencies in data quality can have a major impact on a variety of crucial activities:

• Implementing electronic medical records (EMR) that consolidate volumes of patient data from numerous sources, each with its own codes and patient identifiers.
• Fulfilling HIPAA and other regulatory requirements for record portability, security and confidentiality.
• Reducing drug and medication errors by storing and accessing accurate data in real time.
• Reducing lost revenue linked to coding errors and data inconsistencies that lead to rejected claims.
• Creating reliable physician databases that can track providers across multiples practices, networks, locations and more.
• Mastering product records for the complex manufacturing processes involved in pharmaceuticals, medical devices and biotechnologies.

Trillium Software gives you the data confidence you need

Our partnerships with leading data management vendors such as Siperian, Oracle and SAP allow us to construct sophisticated data quality solutions that work within the systems you already have in place. Through Trillium Software, you can:

• Consolidate patient information through sophisticated, context-sensitive data tools that recognize common records, even when names are misspelled, values are misplaced, or important fields are incomplete.
• Organize disparate coding schemes, such as ICD-9, CPT-4 and HCPCS, into one master data management system every application can access.
• Reduce potential for errors and delays by automatically creating data profiles that alert you to potential trouble spots and areas of concern.
• Improve system to system connectivity through data quality connectors that allow disparate networks and applications to share data and to monitor, clean and correct data in real time.
• Increase operational efficiency through simple interfaces that allow ordinary users to reuse rule sets on multiple systems.