Mobile Site ›
Hot Topics Banner

The Region 4 Stork (R4S) Collaborative Project

Part 4b: High-Throughput Data Entry Portals - All Conditions Tool



Subscribe

Receive notification when new Hot Topics are published:

Click CC to turn on closed captioning.

July 2013

Accurate identification of newborns with metabolic disease can significantly improve patient outcomes. Conversely, a missed diagnosis can result in significant morbidity and may even result in death. While a false-positive diagnosis does not carry the burden of increased morbidity or mortality, there are social and psychological costs that may generate significant harm. The Region 4 Stork Collaborative was developed to improve detection of true positive cases of metabolic disease and improve accurate diagnosis. The R4S project uses Mayo-developed software that provides postanalytical interpretation of complex metabolic profiles. The R4S project offers physicians worldwide the opportunity to utilize this software to analyze their patients’ test results, and compare them with other locations’ results.

R4S Collaborative Project Part 4 discusses high-throughput data entry portals. To improve download time, Part 4 has been separated into 2 subjects: 4A focuses on the Tool Runner tool, while 4B focuses on the All Conditions tool.

Presenter:

Viewers may request access to the R4S database.

The Region 4 Stork (R4S) Series

Related Tests

Print Options

Forward to a Colleague

Share this presentation with:

  • Pediatricians
  • Geneticists
  • Laboratorians

If you have questions, e-mail .


Key