CLG brings research grade methods to the directly to the QI investigator and the clinical manager. It accelerates research and quality improvement, and makes possible outcome comparisons enterprise-wide. As a result, CLG unleashes untapped creative potential throughout a medical enterprise.
Longitudinal cohorts are the foundation of CLG studies, allowing the patient experience to be the focus of outcome analysis. Each patient in a CLG cohort has an index date, relative to which outcomes events are searched according to user-defined study rules. The index date is a patient-specific clinical event defined by the user and drawn from the clinical data repository by CLG. Reusable research objects (event, group and outcome definitions) make subsequent analysis easier to perform. Analysis that is not patient specific, such as throughput or productivity studies, is possible using CLG event collections.
CLG Analytic Methods can be applied to one or more patient groups. Analytic methods can be simple listings of data and on-demand data cubes for slice and dice analysis; or they can be more sophisticated, such as Time to Outcome for comparative effectiveness studies and Time in Range, which analyzes clinical management of chronic care labs and findings.
The value of CLG to you and to your organization increases the deeper you drill into its capabilities. Clinicians can probe data to find all their patients, confirm the success of therapies for groups of patients, and create follow-up lists for care improvement. The results can be transformational, creating a data-driven culture, exciting the staff, producing award-winning results, and enhancing the bottom line. Freed from the need to turn to IT for data needs, clinicians and researchers can continually iterate through data to create a greater understanding of patient care and opportunities for improvement. Explore the depths of CLG to discover the power to transform both the way you do your business and the results you achieve for your enterprise.