Table 1.
TOPIC | OBJECTIVES | FACULTY | ASSIGNMENTS |
---|---|---|---|
Introduction: What Is Learning Health? | Program introduction LHS Concepts Project pitches |
AZ | |
Data Systems | Attributes of Data Introduction to data systems at Duke |
NW, KP, BC, LR | Project Charter assigned |
Database | What is a database? Setting up a database Introduction to DEDUCE |
GS, Director of DEDUCE repository | Final Project topic chosen |
Data Management | Introduction to REDCap CRF creation |
Director of Duke Office of Clinical Research | Present Aims section of project charter |
Basic Statistics | Introduce statistical reasoning | GS | Present full project charter Minichart-review exercise assigned |
Minichart review | Review progress Feedback on scope, data sources, outcomes |
All | Group presentations |
QI in health care – traditional QI models | Describe QI methodologies | Medical Director of Duke University Hospital Mortality and Quality Review | |
QI versus LHS | Review conceptual similarities between QI and aims of LHS Highlight differences Statistical methods in learning health |
GS | |
Informatics | Describe clinical informatics | BC | “Work in Progress” update from groups Group project time |
Health Systems Engineering using the EHR | Describe a learning health project executed by faculty | Faculty member with expertise in learning health projects8 | |
LHSTP frames of reference | Historical background to computational abilities of the LHS | Faculty member with expertise in bioinformatics and funded NIH BD2K projects9 | |
Data visualization Longitudinal Data |
Conceptual framework for working with, interpreting, and presenting longitudinal data | GS | |
Project Troubleshooting | Open session for removing roadblocks for projects | All | |
HSR | Describe traditional HSR and how the LHS can support research | Faculty with HSR expertise10 | |
NIH Collaboratory | Describe current national efforts to create data standards that will enable multisite LHS functions | Faculty with expertise in informatics11 | |
Practice Presentations | Teams practice their final presentations Feedback for improvement |
Practice final presentation | |
Final Presentation |
Notes: DEDUCE = Duke Enterprise Data Unified Content Explorer; REDCap = Research Electronic Data Capture; CRF = case report form; QI = quality improvement; EHR = electronic health record; NIH BD2K = National Institutes of Health Big Data of Knowledge; HSR = Health Service Research; NIH = National Institutes of Health