Dashboard for data analytics to promote standardization
A web based dashboard that tracks 60 quality indicators was developed to promote standardization and provide quality indicators for stakeholders to make decisions. All data was standardized and displayed as run and control charts.
A streamlined process to integrate disparate data sources was designed to merge: hospital billing data, Premier data, clinical information, Press Ganey data, ambulatory, operational and HR data. The web based dashboard allows users to comment and explain variation. Thirty-six months of data are displayed for each hospital to allow for seasonal variation and change. Once 18 months of data have been entered, there is an automatic conversion from a run chart to a control chart to better identify special cause variation.
Data on 60 variables track the management of high-volume high-risk conditions, such as sepsis mortality, HF readmission, HF mortality, among others, are displayed monthly on control charts, run charts, and T charts. Clinical and administrative leadership can assess whether the trend is toward improvement or not.
The web based dashboard has transformed the identification of gaps in care and best practices through monitoring special cause variation. Clinicians and stakeholders are more knowledgeable about how using data and interpreting results. The data has facilitated higher level discussions.
Learning Areas:Administration, management, leadership
Communication and informatics
Evaluate data variation in quality indicators Discuss the importance of standardizing indicators
Keyword(s): Quality of Care, Health Care Quality
Qualified on the content I am responsible for because: I have over 10 years of experience in health care data analytics and education and multiple publications in professional journals. I am responsible for data analytics ranging from univariate to multivariate analysis. I have extensive experience with standardization and operationalization of variables.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.