Incentives and soon penalties will be applied based on the reporting of quality measures defined by the Physician Quality Reporting System (PQRS) and the National Quality Forum (NQF). Providers are responsible for identifying patients in the reporting group and determining if they’ve received the targeted intervention. Clinical Architecture solutions can normalize the needed information from disparate sources to accurately meet these reporting requirements.
Accurate Quality Reporting Requires Comparable Data
It used to be a provider could pretty quickly list most of their diabetes patients from memory and many probably still can. But keeping track of which patients are up to date on which interventions, or knowing when a lab value from another provider arrives and indicates a change of care is needed; that’s where an EMR can really make a difference. The problem is, data flowing to and from various systems are usually based on different terminologies and the reporting requirements can also be challenging.
Before patients can be identified as falling into a reporting group or their treatment status can be captured, all the available information must first be normalized into a domain model and then standardized to a the appropriate coded vocabulary. SYMEDICAL Server’s Cognition Engine normalizes every term it encounters into domain structures, allowing the Coordination Engine to efficiently transform data to the appropriate standard coding scheme.
SYMEDICAL Server normalizes and standardizes coded and unstructured data so healthcare applications can quickly and reliable find the right patients and determine their treatment status. In fact, SYMEDICAL Server can be configured to monitor run-time transaction channels to look for terms meeting the assigned criteria of quality reporting measures.