Issues - Validated and 'clean' data
- Universal Coding Standards and comparability issues
- Weighting of various data sets in developing performance measures (beyond Macleans) incl. conceptual design
- National (not federal or provincial) organization of data
- Better and free access to publicly AND privately owned databases (also need scan of current policy practices and information around access/privacy issues)
- Ethics protocols for collecting and using data
- Research repository/clearing house on what has been done
- More expertise in data analysis-
theoretical models for data interpretation (models drive what data we use or not)
how to use large data sets-
use mixed methodologies (quantitative AND qualitative approaches) - Clearly distinguish the databases for medical record-keeping and insurance record-keeping
- Multi-level, integrated and multi-sectoral data
- Link administrative data to health status
- Need to provide decision support systems
- Sustain longitudinal tracing
- Use patient 'smart cards'
- Remuneration systems other than fee for services and privatization of the system present problems for data collection
- At what level of management should data from different regions get shared?
| Needs - Data sets that accurately capture determinants of health (need measures of 'chronically good health'); these need to be person-specific and linkable
- Need to extend data capturing such that databases represent the entirety of the health system (e.g., using databases to track resources)
- Data on first line (première ligne)
- Sufficient clinical data to make comparisons across groups
- Performance indicators for organizations and individuals at ALL levels of the system
- Administrative data to address emerging priorities
- More data to relate inputs to outcomes adjusted
'Real time' data for time sensitive issues (quick collect, quick analysis) - Databases on best practices or best evidence (at program and structural level, not just clinical)
More sophisticated and comprehensive human resource data sets (to improve recruitment/retention strategies) - Data on actual/future public expectations/preferences, and their shaping process
Services used by patients - Data on use of the system by marginal populations
- Role of the family in health care
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