Home

QIS solves these problems through a new two-stage survey process based on clear, objective, standards-based outcomes analysis.  First, the system interfaces with a national database of nursing home resident health status information and performs a highly complex stratified random sampling process of that data.  Using laptop computers, the survey team augments this data with additional observations collected on site at the nursing home facility.  The entire set of data is then used to create over 200 outcomes, or quality indicators, which are used to evaluate the subject facility against a set of national norms.  For any quality indicators for which the facility performs significantly more poorly than its peers, a second in-depth examination of potential causes is conducted and in the process a body of objective evidence is gathered to support a potential citation for a regulation violation.

This process is intended to not only improve regulation enforcement but also provide a substantial improvement in efficiency, because the intensity of the in-depth investigation is calibrated according to the initial peer-bases quality assessment.  Perhaps most significantly, the software is extremely adaptable over time without the need for additional programming.  The entire process, from the initial survey questionnaire through the complex outcome transformation to the in-depth outliers analysis, is driven by a survey design database maintainable through a user-friendly interface by the nursing home quality experts.  This high degree of flexibility is a hallmark of Maverick software designs and makes this regulation enforcement platform very suitable for adoption by virtually any government agency interested in improving both results and efficiency.