Resources Repository
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Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Building Multimedia Learning Experiences
This teaching pack is intended to support multimodal teaching and learning and was produced and …
This teaching pack is intended to support multimodal teaching and learning and was produced and curated by the Media Hub at the Center for Health Decision Science (CHDS) at the Harvard T.H. Chan School of Public Health in collaboration with the Global Health and Education Learning Incubator (GHELI) at Harvard University. It features a collection of briefs and perspectives containing short summaries and actionable tips, visual tools and multimedia examples, a working paper, and featured…
Culture/Society | Education/Labor | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Conceptual Mapping | Graphics/Visualization | Instructional Design | Pedagogy | Assessment -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Priority Setting/Ethics | Mathematical Models | Operations Research | Infectious Diseases | Health/Medicine | North America | Professional | Policy Translation -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Building Decision Trees
In this teaching pack on Building Decision Trees, students learn how to structure the elements …
In this teaching pack on Building Decision Trees, students learn how to structure the elements (e.g., objectives, alternatives, probabilities, and outcomes) of a problem into a decision tree model, conduct a baseline analysis of the expected value of different alternatives, assess the value of perfect information, and perform sensitivity analyses. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, and sample exercises. Learning Objectives Integrate the core elements (alternatives,…
Decision Analysis | Infectious Diseases | Health/Medicine | Global | College | Graduate | Conceptual Mapping | Graphics/Visualization | Quantitative Literacy