Pavilion Health releases Performance Indicators for Coding Quality version 7
Pavilion Health has announced the release of Performance Indicators for Coding Quality (PICQ 7.0) Enterprise and Local Health Network versions.
PICQ is a set of indicators which identifies records in admitted patient morbidity data-sets that may be incorrectly coded based on Australian Coding Standards. The software looks at the disease and procedures codes used in a hospital data-set record, and identifies inconsistencies. PICQ, originally developed by the University of Sydney, is used in acute care hospital facilities in both Australia and New Zealand. It was sold to Pavilion Health last year.
The release of PICQ 7.0 provides managers with increased benchmark and performance reporting that offer greater support, with graphics across nine filters that accommodate customer specific reporting requirements. This includes an enhanced identification and correction system of potential coding errors, the measurement of data accuracy throughout time, benchmarking across coders, and the identification of training requirements for coders and clinicians. The software uses more than 1200 queries that can set off 300 indicators, supporting the seventh edition of ICD-10-AM.
"The quality of disease and hospital procedure is growing in importance," explains Joe Berry, Operations and Programs Manager of Pavilion Health,"hospitals increasingly want to use their data to improve decision making and resource management in the provision of health care services. PICQ plays a valuable role in any coding quality management system."
Features to be implemented into PICQ throughout the year were identified by workshops, under the guidance of the PICQ Advisory Board. The Advisory Board is composed of government organisation representatives, health industry 'thought leaders', clinicians, researchers and end users.
PICQ 7.1 is scheduled to be released this June. The update will include performance data more specific to the individual hospital, as well as the ability to determine the frequency of reporting at a local level.
Posted in Australian eHealth