No matter what technologies are used, the end goals for any organization are adoption and behavior change to achieve desired clinical and financial outcomes. Well-designed workflows that satisfy the needs of users lead to high levels of adoption of information systems. High levels of adoption that do not facilitate behavior change replicate systems and the undesirable outcomes achieved before technology deployment. Therefore, techniques that encourage behavior change, such as clinical decision support tools and performance scorecards, must also be embedded seamlessly in the clinical workflow to be effective.
Tools exist for achieving effective clinical workflow, although we continue to learn and refine best practices. Throughout the 1990s, payers employed clinician profiling reports or scorecards in an attempt to identify outlier providers and effect change in clinician practice patterns. Few of these efforts proved successful due to problems with data sources and the delivery and content of the scorecards.
With the expansion in the use of electronic medical records, the data source for scorecards that can influence clinician behavior moves to a much more robust data source, a data warehouse populated with clinical information gathered from multiple clinical systems. In addition, analytical tools now exist that can easily comb through enormous data sets and generate insightful results presented in attention grabbing, meaningful graphics.
Excerpts from: The Eyes Have It. PSQH, March/April 2013