data governance in a healthcare...
TRANSCRIPT
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Importance of Data Governancein Healthcare
Dr Goh Min Liong
Director (Medical Informatics)
Changi General Hospital
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What is Data Governance?
• Short answer:“Data Governance is the exercise of decision-making and authority for data-related matters.“
• Longer answer:“Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”
Source: Data Governance Institute (www.datagovernance.com)
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What is Data Governance
Data Definition
Data Collection
Data Validation
Data Storage
Data Access
Data Use
Who Who Who Where Who What
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What is Data Governance
Data Definition
Data Collection
Data Validation
Data Storage
Data Access
Data Use
Who Who Who Where Who What
CHANGES
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Why Data Governance?
OutcomeData Analysis Plan Action
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Why Me?
• NOT a data scientist.
• NOT a system analyst.
• NOT a public health specialist / population health expert
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Data Governance Challenges
Data Definition
Data Collection
Data Validation
Data Storage
Data Access
Data Use
Who Who Who Where Who What
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What to collect it?
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OutcomeData Analysis Plan Action
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Where does the data come from?
Data Warehouse
Reg/Ops System
Ancillary System
Clinical System
Finance System
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Where does the data come from?
Data Warehouse
Reg/Ops System
Ancillary System
Clinical System
Finance System
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Issues
• Prioritize data that is required to drive organizational/departmental goals.
• Engage both users generating and consuming data.
• Be mindful of additional work generated to capture data.
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Who to collect it?
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Clinical Data Handling
Clinician Coder
System
Documentation
Use
UnstructuredNon-consistent
StucturedCodified
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Clinical Data Handling
Clinician Coder
System
Documentation
Use
StucturedCodified
Electronic Documentation
• Mandatory fields• Codified fields
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Clinical Data Handling
Clinician Coder
System
Documentation
Use
StucturedCodified
Electronic Documentation
Time Money
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Issues
• User generated data should be consequence of patient care rather than a pre-requisite.
• Educate and involve users in the data decision making process so that they understand the importance of the data they are collecting.
• Consider system costs vs coding costs.
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How to collect it?
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Need for standardization of data
• Patients transition through departments
• Longitudinal analysis
• Not all scales are translatable!
• Cost
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Ownership Challenges
• First come first served?
• Overlap of services.
• Integration of services.
• Evolution of measurements.
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Issues
• Assignment of ownership.
• Process of on-boarding new stake-holders.
• Alignment of standards with internal and external parties.
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Thank you