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Through novel qualitative and quantitative measure testing methodologies, PCPI tests measures for feasibility and scientific acceptability. We initiate testing as early as possible during the measure development process and encourage measure developers to test early and test often.
Key measure testing considerations are:
In addition to feasibility and scientific acceptability testing, PCPI-stewarded measures are put through rigorous testing using the BONNIE tool, developed by MITRE Corporation. Applying our testing and specification expertise to the BONNIE tool, PCPI ensures that measure logic behaves as expected, through the development of synthetic patient data, when implemented in an electronic data source.
To support measure developer testing efforts, PCPI is currently developing a testing toolkit available to PCPI members that will guide users through each step of the testing process with accessible flowcharts, checklists, and templates. Leveraging this resource can streamline and standardize the testing process for developers and establish consistently accurate results for health care performance measures.
For more information on the decision-making criteria for measure development, check out the CMS Measures Management System Blueprint.
Click here for more information about our Measurement Science consulting services.