Publications by authors named "Jennifer L Kowalski"
Background: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.
Objective: To evaluate the performance of three different machine learning algorithms for identifying subgroups of high-cost patients.
Design: We applied three different clustering algorithms-connectivity-based clustering using agglomerative hierarchical clustering, centroid-based clustering with the k-medoids algorithm, and density-based clustering with the OPTICS algorithm-to a clinical and administrative dataset.
Background: There is a growing focus on improving the quality and value of health care delivery for high-cost patients. Compared to fee-for-service Medicare, less is known about the clinical composition of high-cost Medicare Advantage populations.
Objective: To describe a high-cost Medicare Advantage population and identify clinically and operationally significant subgroups of patients.