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AMGA's Anceta Collaborative Data Warehouse is not yet another “quality report card.” Anceta’s goal is to stimulate creative thinking about the process of care, leading to insights that drive improvement.

Humedica’s intuitive analytics platform is designed to get clinicians engaged with the data, encouraging them to formulate and explore hypotheses. This motivates and prepares them to participate in facilitated collabora­tion among Anceta participants and in QI initiatives within participating medical groups.

KEY CONCEPTS

Actionable data. The relationships between controllable aspects of the process of care and patient outcomes are emphasized based on detailed, longitudinal patient data across the continuum.

Detailed comparative data, based on “precision match” patient cohorts. Select cohorts of patients are identified within the aggregate data, which are comparable to those of a participating medical group or an individual provider.

Formal ontology. Apples-to-apples comparisons are provided based on mapping important aspects of the source data from each participating medical group to common definitions. With a physician-led infor­matics team, Humedica’s proprietary methodologies are used to define a formal ontology for important concepts in the care of each disease or condition under study, including common comorbidities.

Disease-specific analytic models address the key factors for characterizing patients and important elements of care for each condition, allowing drill-down not just by organizational structure, as with conventional quality reports, but on specific subsets of patients and specific aspects of the care process.

Cost and efficiency of care. A standardized cost index is employed to allow comparison of overall resource use without using any medical group’s actual cost accounting data.

Identifying and highlighting variance in process or outcomes, both within a medical group and across participating medical groups. Users don’t have to search for needles in haystacks.

Data visualization, using innovative displays developed by Humedica to show findings in context, encouraging users to explore patterns and relationships in an intuitive, non-technical way.

Population perspective. Users access detailed analytics about patient populations, distinguishing mainstream characteristics or behaviors from those of “outliers.”

Patient attribution and other “denominator” issues. Anceta develops consensus among participating medical groups on characterizing a patient’s relationship with the medical group and the roles of individual physicians and other clinicians in each patient’s care.

Drill-down to individual patients. Physicians receive “my patients” views and medical directors and CMOs receive “my docs” views. Each view incorporates relevant comparative data from the aggregate of all Anceta participants and also from the medical group with the “best” consistent performance for each disease or condition.

Flexible, intuitive user interface. Analytics are delivered securely via Humedica’s custom web application, rather than a generic reporting tool. Beginning with an extensive menu of analytic views, the user is invited to choose a format for graphical displays and to apply filters appropriate to the disease or patient population.

Predictive analytics. Models are developed to identify patients or populations at risk of poor outcomes or excessive utilization, including individual patients for whom certain interventions may be appropriate.

Real-time patient tracking allows care coordinators to monitor care processes and track interventions and communications among the care providers. Predictions are continually revised to reflect current data.