We evaluate and forecast the potential impact of current or future mental health and substance use disorder policy as well as quantify the prevalence, variation, or impact of emerging behavioural health challenges.

We evaluate the economic impact of integrated care, including developing financial support and staffing models, calculating return on investment, and researching the impact of medical and behavioural comorbidities on total cost of care.

We analyse outcomes of population health, disease management, substance use treatment, and other types of behavioural programs with the goal of identifying areas of improvement in program design and delivery.

We research aspects of the opioid crisis in the U.S., including prescribing patterns, ER usage, comorbidities, and excess costs. We also support and evaluate programs and other responses to the opioid epidemic.

We develop models to predict underdiagnosed or undermanaged mental health and substance use disorders from prior healthcare utilisation patterns, demographics, prescription drug use, and other diagnoses.

We perform analyses such as projecting health costs and utilisation by service category, evaluating budgets and rate adequacy, and estimating cost savings from programs or other interventions.

We design elements of risk management for behavioural healthcare providers in their contracting efforts, including but limited to capitation rates, risk sharing, incentive payments, and performance guarantees.

We analyse provider fee schedules for behavioural providers over time and compare them to area-specific and national benchmarks.

We evaluate behavioural healthcare costs and utilisation metrics by service category against area-specific and national carrier data.

We perform financial analyses to project future costs and evaluate the adequacy of behavioural healthcare rates.

We develop healthcare utilisation and cost projections for baseline periods and intervention periods to demonstrate cost effectiveness of new initiatives for payer contracts or government entities.