The federal Agency for Healthcare Research and Quality ran a study examining ways to interpret data on electronic medical records to best address patient safety concerns. The agency developed a set of 20 measures, known as patient safety indicators, that use administrative data to screen for potentially adverse events that occur during hospitalization.
Nurse.com brought this news to our attention in their article, “Natural language processing best for EMR data.” The study lifted up natural language processing as an alternative to unreliable administrative data or labor-intensive, and very expensive, manual chart reviews. But it isn’t the only one.
Access Innovations, developer of the M.A.I. machine assisted indexing system and specialists in complex coding, tagging, and indexing, provides a range of services that deliver tag integrity. Access Innovations provides training to a client’s staff and then offers quality assurance and validation services that can:
- Minimize the risk of a coding error
- Identify inappropriate or inadvertently applied tags
- Display a “map” of coding distributions to allow management to get a bird’s-eye view of the coding assignment flow.
Many widely used tagging systems lack the user friendly interface and may not implement a rigorous ANSI compliant coding subsystem. Access Innovations’ solutions are ANSI compliant and implement state-of-the-art technology to speed tagging and reduce errors. For more information, contact Access Innovations.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
