CV ASC Registry Education-Seq#15510 (Condition History Occurrence)

Video Transcription

Each cardiovascular ASC procedure pathway is assigned unique and specific condition history data elements.  The entire team, including ambulatory surgery centers and office-based lab stakeholders, thoughtfully and concisely appointed these patient conditions to the respective pathway  based on reporting needs and keeping in mind the need for a lean dataset. So while the data dictionary lists every possible condition history that could be used within  the entire CV ASC registry, constraints are applied in the backend to only allow certain conditions to appear in the specific pathway chosen when using the data collection tool.  Thus, the easiest means to know which conditions are captured for a single procedure is the data collection form.  To code YES in sequence 15510, Condition History Occurrence, there must be a clinical diagnosis of the indicated medical condition.  And the data dictionary does provide education on what the medical condition is if our users are unfamiliar.  All pathways have child fields that seek more information when a documented clinical diagnosis  is captured in the patient's history, which we will review in depth in upcoming slides.

Video Summary

The cardiovascular ASC procedure pathways include unique condition history data elements chosen by stakeholders for reporting needs. The data dictionary lists all possible conditions, but constraints apply, only allowing certain conditions in specific pathways to maintain a lean dataset. To code YES in sequence 15510, a clinical diagnosis is required, with the data dictionary offering education on unfamiliar medical conditions. Each pathway has child fields for additional information when a clinical diagnosis is documented in the patient's history. This ensures accurate data capture for each procedure, making it easier to track and analyze patient conditions within the CV ASC registry.

Keywords

cardiovascular ASC procedure pathways

condition history data elements

data dictionary

clinical diagnosis

patient conditions