Scope of this review In scope Out of scope Those data quality variables which Clinical data quality or relate to the movement and consistency issues due to transformations of data through the individual health services' own data chain which begins with Clinical data practices- i.e. the quality of Information Systems (CIS) and ends at data in the CIS themselves the Australian Institute of Health and nKPI indicator definitions Welfare (AIHW). These include: The interpretation of nKPI data CIS data definitions by AIHW CIS data extract for the Clinical nKPI data submissions from Tool (CAT) health services in the Northern Data transformations to calculate Territory using the PCIS system nKPI values High-level findings The review has found no evidence of system-wide technical problems affecting nKPI data quality. Compared with the later Healthy for Life data collections (2010-2011), nKPI health services are achieving higher levels of compliance more quickly, with comparable levels of data validity. While the collection of nKPIs to date can be regarded as a solid start, the review identifies a number of areas of focus for improving future nKPI data collections. These include recommendations to improve the: Accuracy and completeness of data for specific indicators nKPI functionality of specific clinical information systems Tools provided to health services to preview and improve their nKPI data A key determinant of future nKPI data quality will be enhancing the ongoing capability and capacity of reporting health services to capture, clean, manage and interpret their patient data. While nKPI reporting compliance is high, low levels of engagement in parts of the Aboriginal health sector suggest that challenges remain in moving the nKPI collection from a reporting compliance activity to an embedded CQI activity. The structure of this report To aid the reader, the structural flow of this report is illustrated below in Figure 1.
Scope of this review In scope Out of scope Those data quality variables which relate to the movement and transformations of data through the data chain which begins with Clinical Information Systems (CIS) and ends at the Australian Institute of Health and Welfare (AIHW). These include: CIS data definitions CIS data extract for the Clinical Tool (CAT) Data transformations to calculate nKPI values Clinical data quality or consistency issues due to individual health services' own data practices- i.e. the quality of data in the CIS themselves nKPI indicator definitions The interpretation of nKPI data by AIHW nKPI data submissions from health services in the Northern Territory using the PCIS system High-level findings The review has found no evidence of system-wide technical problems affecting nKPI data quality. Compared with the later Healthy for Life data collections (2010-2011), nKPI health services are achieving higher levels of compliance more quickly, with comparable levels of data validity. While the collection of nKPIs to date can be regarded as a solid start, the review identifies a number of areas of focus for improving future nKPI data collections. These include recommendations to improve the: Accuracy and completeness of data for specific indicators nKPI functionality of specific clinical information systems Tools provided to health services to preview and improve their nKPI data A key determinant of future nKPI data quality will be enhancing the ongoing capability and capacity of reporting health services to capture, clean, manage and interpret their patient data. While nKPI reporting compliance is high, low levels of engagement in parts of the Aboriginal health sector suggest that challenges remain in moving the nKPI collection from a reporting compliance activity to an embedded CQI activity. The structure of this report To aid the reader, the structural flow of this report is illustrated below in Figure 1.
nkpquality.docx