heather grain - ehealth education - big data needs little data – the core of ehrs and coding
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Big Data needs Little Data
Hospital Costing and Health Coding Forum 2015 Melbourne
Heather Grain Global eHealth Collaborative and eHealth Education
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What is the problem?
Morbidity Data Constrained
– IT capacity
– Record systems
– Data understanding
Today….
• EHRs with shared structure
• Quality of structure
• Restricts utility
• Impacting classification
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http://www.informationweek.com/big-data/big-data-analytics/5-big-wishes-for-big-data-deployments/d/d-id/1109606? 3
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EHR with structure – Information Model
Internationally accepted and increasingly the basis of systems and information exchange
– More accurate over time in the record
– Easier to exchange (report) and design (cheaper)
– Supports queries of the data
– Clinically agreed
– Suited to ICD-11’s approach
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Example: openEHR Clinical Knowledge Manager
• Record components – not forms
– Clinically validated
– Maximal data model
• pick what you need
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Example of specific data
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adverse_reaction
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How this impacts systems
• Select data like lego
– Makes screens
– Makes reports
– Available for data extraction
• Easier, faster and cheaper IT systems
• Standards structure
– vendors can focus on functionality
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Coding and Quality Data
• Known desire
• However – current structure breaks quality rules
– 1 Semantic space per field
– Subset of classification or terminology for purpose
– Associate field with definition of single purpose
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Quality of Structure - Semantic Scope
• Data collected in a field restricted to a single consistent meaning
– Example: • Marital status: civil status of each individual in relation to the
marriage laws or customs of the country. – never married,
– married,
– widowed and not remarried,
– divorced and not remarried,
– married but legally separated,
– defacto union
– Does not include living arrangements (though many data collections do include this in the classification)
9 Glossary of statistical terms: https://stats.oecd.org/glossary/detail.asp?ID=1597
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Semantic Scope of Diagnosis Field
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Extract: Investigation of the ontology and information model of morbidity reporting in the EHR environment – Grain. 2008
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Structure
• aids retrieval
• supports knowledge acquisition
Imagine trying to write software to retrieve information by writing an instruction for a computer……
M51.2, T81.2, Y83.6, Y92.22, 40300-00, 40330-00, 90011-02
The utility of the morbidity information could be much more……
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Records and Systems changing….
What about morbidity classification and recording
– Don’t change the classification change the field • If you want conditions present but not treated
– This is a different context, not a different code! (ICD-10-AM V9)
– ICD-11 is coming – a logical time for change
– Build rules to improve quality of data capture • Standards need to include additional documentation
– If X then do Y to support computation as well as manual application
– We need to think about how computers could help us do it better
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Development of test system
• GeHCO (NFP) are developing Simulator to:
– Serve as education resource for clinical coding (over 1500 records with answers and feedback)
– Test alternative structures for collecting morbidity data
– Seeking interest and input
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Contact Details
If you have questions feel free to contact
• Visit the web site at
www.gehco.org
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