Data and Analytics

Quantitative Analysis

Quantitative analysis utilizes mathematical and statistical approaches to identifying and evaluating measurable data: healthcare data such as direct medical costs, inpatient mortality, 30-day readmissions, and hospital market share and population data such as demographic social determinants of health. Livanta’s quantitative analytics assess clinical, humanistic, actuarial, and health economic outcomes by applying measurement, probability, and economic theory to evaluate and to simulate outcomes of health policy, clinical practice changes, and economic incentives.

Value Proposition: Complex questions require well-specified approaches with measurable goals to achieve success. Relationships between cause and effect demand a strong conceptual foundation to determine the extent to which the relationships are reliable.