MGH Institute for Technology Assessment
Academic research group that develops and applies decision-analytic and simulation models to inform clinical guidelines, health-technology assessment, and public-health policy. Work emphasizes microsimulation and state-transition models, cost-effectiveness and comparative-effectiveness analyses, model calibration and validation, uncertainty quantification, and methodological research. The group collaborates with academic partners and public agencies and provides training and knowledge-translation products to support policy and guideline development.
Industries
Nr. of Employees
small (1-50)
MGH Institute for Technology Assessment
Boston, Massachusetts, United States, North America
Products
Modeling tools and interactive visual summaries
Publicly shared modeling tools, scenario-exploration interfaces, and infographics to summarize model results and policy implications.
Peer-reviewed methodological and applied research publications
Journal articles presenting modeling methods, validation studies, comparative-effectiveness analyses, and economic evaluations used to inform guidelines and policy.
Modeling tools and interactive visual summaries
Publicly shared modeling tools, scenario-exploration interfaces, and infographics to summarize model results and policy implications.
Peer-reviewed methodological and applied research publications
Journal articles presenting modeling methods, validation studies, comparative-effectiveness analyses, and economic evaluations used to inform guidelines and policy.
Services
Health-technology assessment and modeling services
Model development and analyses to evaluate clinical and economic outcomes of diagnostic, screening, and therapeutic technologies for policy and guideline decision-making.
Methodological consulting for calibration, emulators, and validation
Consulting and collaboration on Bayesian calibration, emulator construction, uncertainty quantification, and validation of models against trial or registry data.
Education: seminars, workshops, and generative AI masterclasses
Seminars and workshops covering simulation methods, decision analysis, calibration best practices, health-technology-assessment techniques, and periodic masterclasses on generative AI for HEOR and market access.
Health-technology assessment and modeling services
Model development and analyses to evaluate clinical and economic outcomes of diagnostic, screening, and therapeutic technologies for policy and guideline decision-making.
Methodological consulting for calibration, emulators, and validation
Consulting and collaboration on Bayesian calibration, emulator construction, uncertainty quantification, and validation of models against trial or registry data.
Education: seminars, workshops, and generative AI masterclasses
Seminars and workshops covering simulation methods, decision analysis, calibration best practices, health-technology-assessment techniques, and periodic masterclasses on generative AI for HEOR and market access.
Expertise Areas
- Microsimulation and decision-analytic modeling
- Markov and state-transition modeling
- Cost-effectiveness and health-economic evaluation
- Model calibration and validation methods
Key Technologies
- Microsimulation
- Markov/state-transition models
- System dynamics modeling
- Bayesian calibration