ANALYTICS AND DECISION SUPPORT

YOU NEED GOOD INFORMATION TO SUPPORT YOUR GOALS FOR COMPARATIVE EFFECTIVENESS REVIEW. WE CAN HELP.

As more health information is available electronically, the challenge becomes not just to capture it, but to put it to use. Taking information from an electronic health record for reuse in quality reporting, decision support, public health, research and comparative effectiveness review requires what is called “semantic interoperability” – the ability of two or more computer systems to share information such that the recipient can correctly and completely interpret the information. The drive for semantic interoperability inspires our work on standards and informs our application of the standards to the key data reporting requirements of the day.

How does an organization achieve semantic interoperability? How does an organization ensure that the data it gathers today will support today’s analytics and drive tomorrow’s decision-making? How can we move away from silos of information toward general information reuse?

We have experience reusing clinical data for decision support. We developed the exchange standard for the CDC’s collection of public health information directly from EHRs to the National Healthcare Safety Network. We have led the development of the key specifications for quality reporting now included as requirements in the U.S. for Meaningful Use of EHR systems.

The key capabilities that we bring to this work are our background in clinical practice and information systems and our understanding of the information standards that are the key to reuse.  We appreciate the difficulty of the task and that only an incremental path built on sound business requirements will be sustainable. We approach every interoperability challenge from this perspective.