Cervical Cancer Geo-Analyzer
Informing COVID-19
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ICER Tool
Examine costs and health outcomes of interventions
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Using evidence-based approaches,
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Disease
Areas
Areas
Intersection of Machine Learning
and Health
and Health
Our team presented multiple workshops on machine learning for health economics and outcomes research
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Expertise
Our team has a strong scientific background and
deep understanding of current and future needs.
Health Economic Modeling
- Cost-Effectiveness Analysis
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- Early Decision Modeling
- Multi-Criteria Decision Analysis
Health Technology Assessment Submissions
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- Review of ICER Reports
- Value-Based Contracting
Real-World Evidence, Healthcare Analytics and AI/ML
- Real-World Evidence Generation Using Artificial Intelligence/Machine Learning (AI/ML)
- Hypothesis Evaluating Treatment Effectiveness (HETE) Studies
- Data Visualization and Dashboards
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- Web and Phone/Tablet Apps
Clinical Trial Support
- Survival Analysis
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- Trial Design Using Value of Information Analysis
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Comparative Effectiveness Studies
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We are a global team of health economics
scientists with a collective enthusiasm
to create a culture of integrity, teamwork,
and diversity.
News & Events
Podcast on Cervical Cancer Geo-Analyzer
An episode on The Geo-Analyzer that Value Analytics Labs developed in collaboration with Seagen is posted on Gynecologic Oncology's website.
Value Analytics Labs Launches Geo-Analyzer at ASCO 2022
In collaboration with Seagen, we developed Cervical Cancer Geo-Analyzer, an open access, web-based, interactive tool to visualize geographical areas in the US where cervical cancer education or healthcare resource needs are high. The tool was launched at the American Society of Clinical Oncology (ASCO) 2022 Annual Meeting.
One Model Projects A Sobering Outlook for Rising COVID-19 Cases in the US and Mass. as Omicron Surges
Dr. Jagpreet Chhatwal, an assistant professor at Harvard Medical School and the associate director of Massachusetts General Hospital’s Institute for Technology Assessment, which also projects COVID-19 metrics, cautioned that trying to predict what may happen with the virus in the weeks ahead is “highly uncertain.”
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