Download Data warehousing and Data mining – an overview

Data warehousing and Data
mining – an overview
Dr. Suman Bhusan Bhattacharyya
MBBS, ADHA, MBA
Local
Today we have…
Electronic
Medical
Record
Capturing
Clinical
Data
RDBMS
Alerts & Warnings
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RDBMS
RDBMS
In house
Regional
Displaying data
Displaying rule-based patient-specific alerts
Displaying pre-set warnings
Following clinical protocols
Online Transactional Processing (OLTP)
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Requirements of tomorrow
• Use clinical data to
– Support Evidence based medicine
– Perform Outcomes Analysis
• Confirm existing clinical “facts”
• Refine clinical guidelines/protocols
• Find hidden knowledge patterns
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Necessity of these requirements
• Evaluation of stored data may lead to
discovery of trends and patterns that
would enhance the understanding of
disease progression and management
• Insurance companies of the future will
clinically assess a person for the most
likely risks for a specified period and then
calculate the premium for health insurance
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Doing it right…
Operational EMR Databases
Extract
Transform
Load
Validate
[ETLV]
External EMR Sources
Data marts
Data warehouse
Metadata Repository
Monitoring
Administration
Output
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OLAP Server
OLAP Server
Output
Query/Report
Analysis
Data mining
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The way to go…
Knowledge
Data mining
Evaluation &
Presentation
Selection &
Transformation
Cleaning &
Integration
Databases
Flat Files
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Type of Commercial packages
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Informatica
Cognos
Business Objects
SPSS
SAS tools
Epi Info with Epi Report
Custom-built
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Thank Q
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