1. Value of EMRs |
Explore connection between maturity of use and accrued value
Understand trade-off: effort of adoption versus value
Create a value map/matrix (stakeholders on one axis, value EMR brings on other axis)
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2. EMR implementation and adoptior |
Supply basic and advanced training, support and education for users
Understand value of implementation and adoption
Identify non-adopters - identify barriers to adoption and how to overcome them
Identify best practices of advanced users - success and supports, conduct economic analysis
Synthesize existing data and research reports
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3. Data entry and extraction procedures |
Create unified standards and capabilities across EMRs
Deliver incentives for data quality
Use improved data search technology
Test data entry interventions
Understand best practices leading to high optimization and data entry
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4. Data sharing |
Define standardized data sets and determine sharing rules
Work towards interprovincial consistency
Understand public attitudes
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5. Overarching framework for interoperability |
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6. Define data elements |
Expand data collected in EMR, e.g., quality of life
Include data elements from different sources, e.g., patients
Design a data completeness score function
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7. Develop ideal EMR desigr |
Design needs to match PHC context
Include multiple disciplines
Research - inform existing and new EMR designs
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