Core Concept - Patient Centric Outcomes Analysis
Patient-centric, epidemiology-based outcomes analysis is core to CLG. Outcomes are relative to an individual’s patient index date, not necessarily based on a calendar period. Contrasting groups of patients who have achieved desired outcomes within a user-defined risk window with groups of patients who have not achieved those results requires sophisticated group definitions, specifying desired outcomes to be any one of several different events which occur before or after an index date.
Real-world application - Cohort comparison beyond calendar-date analysis
A clinician wants to know which patients meeting specific criteria have had their diabetes controlled within 12 months and which patients have not. The clinician then compares the two groups to determine whether there is any correlation between diabetes control within a twelve-month period, referral to a Quality Improvement (QI) program, and/or adherence to a standard Chronic Care Model (CCM). Calendar-date analyses are not effective here because, for example, a provider may start a patient on therapy in November and be graded on his effectiveness at controlling that patient’s diabetes by December, hardly a fair evaluation.
Business value - Improve outcomes, attract research funding
CLG enables treating each patient as an individual, looking, for example, at how the individual has progressed subsequent to their first visit. This contrasts with most data mining tools which require specifying an overall time period for a whole group of patients under study without regard for when during that period each individual person started treatment. Methodologically CLG's approach is much more valuable. The study of comparative outcomes accelerates the identification of the effectiveness of therapy alternatives, yields improvements in care quality and clinical outcomes, and can position a medical enterprise with a huge edge in attracting research dollars.