LHEA On-Demand Bundle: Designing TRUE Research (8 Modules)

Designing TRUE Research
A Course for All Researchers
Offered by the Learning Health Education Alliance (LHEA)

When a researcher, clinician or quality improvement team designs a study, they consider many factors:

• Will this research make a difference – to patients? to society?
• How will we obtain the data to meet the research criteria?
• Will the data answer the research question? 
• Will it be in an analyzable and sharable format?
• Can we assure patients that their data will be protected and used wisely?
• Will the results be sufficiently robust for wide dissemination, learning and publishing?
• What regulations apply?
• Where do we start?

No one plans to fail, but many fail to plan research -- adequately and at the start.  It is heartbreaking, after designing and conducting a research study, if one finds that the results are not robust and publishable, or the data cannot be interpreted or shared as anticipated, or the study did not answer the research question and enable future learning to improve human lives.  This occurred frequently during the pandemic; studies often failed to produce trustworthy results, which means patients and researchers wasted their precious time and effort.

In this foundational course, you will learn from presentations by experts:

• To ensure that patients and their concerns are at the center of the research process;
• To apply best practices and principles in designing and executing research studies that leverage healthcare (real world) data from a variety of sources;
• To reap value of advance planning to collect Trustworthy, Reusable, Understandable data Elements (TRUE);
• To apply core values and characteristics of learning health systems;
• To use global data standards and controlled terminologies, for protocol design through data collection, tabulation and analysis, to build in efficiency from the start;
• To use digital health technologies (DHTs) and the data they generate in research;
• To leverage Large Learning Models (LLM) and Generative AI to improve research and democratize LHSs;
• To apply global regulations, guidance and data sharing requirements applicable for your research.