Avalon has deep expertise and experience in a wide range of services and across a wide range of industries and markets.
Providing expert analysis and opinions in pre-litigation consulting and post-litigation testimony.
Application of economic theory and methodologies to issues pertaining to litigation.
Calculation of the reasonable fair market value of costs attributable to specific factors or events.
Calculation of the reasonable and fair market value of past and future medical bills and expenses.
Coding of medical services to standard billing codes, such as CPT codes.
Evaluation of the medical necessity and reasonable and fair market value of future care estimates and life care plans.
Calculation of life expectancy, work life expectancy, and productivity based on pre-existing comorbid medical conditions or injuries attributable to specific events.
Calculation of the reasonable and fair market value of wage losses or workers compensation claims.
Calculation of expected Medicare and state Medicaid payments for specific scenarios and services.
Economic analysis of various aspects of medical products liability, including attributable costs and damages, abatement costs, monitoring costs, demand & supply models, causation models, and allocation models.
Analysis of the reasonable and fair market value of past and future medical expenses, including life care plans.
Economic analysis of breaches of contract, financial losses, and operational failures.
Calculation of net present value of future losses and expenses, using inflation rates and discount rates.
Economic analysis of trademark infringement, antitrust, competitive practices, barriers to entry and exit, and other aspects of industrial organization and behavior.
Health economics, outcomes research, and health data analytics along the whole product development continuum.
Systematic reviews of literature, meta-analyses, network meta-analyses, indirect treatment comparisons, and mixed treatment comparisons for value propositions, HTA submissions, and publications.
Use of data analytics, conceptual models, and real-world evidence to build compelling value propositions.
Conceptual models, conceptual frameworks, and logic models help establish key value pathways for novel drugs, devices, and diagnostics.
A key driver in establishing the value of a drug, device, or diagnostic is its impact on the progression of disease and conditions, and rigorous and novel models of disease progression can better capture value.
We bring state-of-the-art data analytics to clinical trial data.
Capabilities in designing and building traditional models of economic value combined with novel model adaptations when off the shelf models fail to capture the full value story.
Analysis of novel sources of data, such as registries, claims data, billing data, and electronic medical records.
Linking value, pricing and reimbursement is critical for commercial success, but dependent on a rigorous foundation of clinical and economic evidence.
Analysis of strategies, policies, and stakeholder relations to support regulatory and commercial success in target markets.
Assessment of health system and payer opinions on coding, reimbursement, coverage, and contribution margins.
Creation of effective and novel communication materials is critical to conveying value propositions to key stakeholders.
Health technology assessment is a critical component of market access in a growing number of markets and leveraging clinical and economic evidence to achieve positive HTA outcomes is critical.
Effectively summarizing clinical and economic evidence in value dossiers is a key component of payer, HTA, and stakeholder communications.
We bring to all engagements decades of experience, knowledge, expertise, and creativity to help clients achieve their organizational and strategic goals.
Our academic roots make education and training second nature for us, and we recognize knowledge transfer to clients and stakeholders is critical to achieving organizational and strategic goals.
Cost-benefit analysis is a commonly used tool to assess the net impact of laws and regulations, expressed monetarily.
Economic impact analyses calculate the primary and secondary benefits of a business activity or an expenditure, typically using a "multiplier".
Economic externalities are either positive or negative secondary effects associated with a transaction or production; for example, a consequence of an industrial or commercial activity that affects other parties without being reflected in the cost of the goods or services involved. Attributable costs are the damages or costs attributable directly to harms and externalities.
Total costs or net costs that are attributable directly to a specific law or regulation.
Total costs that are necessary to remedy, mitigate, or abate all or some portion of an externality, harm, or public nuisance.
Collecting, analyzing, and using information to assess the effectiveness, efficiency, and impact of projects, policies, and programs.
Research and analysis to support government communication and advocacy.
Employing a wide array of state-of-the-art statistical tools, such as regression analysis, to solve complex quantitative problems.
Employing data analysis to explore issues related to attribution, causation, net impact, etc.
Statistical tools specifically designed to address biological and clinical issues, including odds ratios, hazard ratios, survival analysis, analysis of rates and proportions, epidemiology, and the design of clinical studies.
The study of the incidence and prevalence of diseases and conditions, and the associated determinants and causal factors.
Statistical methods applied to decision-making under uncertainty by assigning probabilities to potential outcomes, typically using statistical inference tools such as Monte Carlo simulations and Bayesian networks.
Determination of smallest sample size required to detect statistically significant differences among subgroups.
Cross-tabulations, analysis of rates and proportions, and narrative analysis of statistical information.
Machine learning driven by artificial intelligence creates smarter data analytics, models, and decision analysis.
Use of standard programming tools to enhance the capabilities and efficiencies of data analytics and decision modelling.
Strategic support along the continuum from product development to product launch to enhanced market access.
Advanced data collection and analytics to understand consumer behavior and sentiment and how it varies across socioeconomic and sociodemographic dimensions.
Research capabilities in online and telephone research and statistical analysis of survey data.
Multidisciplinary models encompassing economic theory, psychology, and specific consumer behavioral models.
Data analytics aimed at dynamic processes, longitudinal models, and evolutionary processes.
Identification of competitors, predictive models of competitor behavior, and other aspects of competitor research.
Purpose-driven enhancing of business processes, technology, and employee capabilities to maximize productivity, reduce costs, and align with strategic goals.
Statistical models of probability and risk of specific outcomes, including adverse events, harms, and externalities.
Analytic support of pricing, including value-based pricing and value-based reimbursement, wherein product value is reflected in pricing and payment.
Creative application of data analytics to decision modelling on market growth, geographic expansion, and mergers and acquisitions.
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