Post on 20-May-2020
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Data Analytics in Healthcare
Dr Richard Ashby
Chief Executive / Chief Information Officer
eHealth Queensland
Health Data Analytics Conference – October 2017
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Data analytics in healthcare
Advanced health analytics is one of the hottest topics in healthcare today!
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“Health analytics is the use of data, technology and quantitative and qualitative methods aimed at gaining insight for making informed decisions to improve health outcomes and health system performance”
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NSW Health 2016
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History of health analytics
• ‘Founder of modern nursing’
• Crimean War 1854
• Popularised the graphical presentation of statistical data, especially around infection, sanitation, nutrition, etc.
• Mortality 40% 10%
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Florence Nightingale
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History of health analytics
• Founder of outcomes management in patient care
• ‘End results cards’
– Demography
– Diagnosis
– Treatment
– Outcome
• Morbidity and mortality conferences
• Advocated publication
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Ernest Codman
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History of health analytics
Descriptive analytics – “What happened”
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1914 - 2005
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Contemporary development and concepts
• Predictive analytics
• Prescriptive analytics
• Big data / small data
• Augmented intelligence / Swarm intelligence
• Machine learning
• Visualisation / virtualisation
• Gamification
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Adoption model
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Adoption model
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Data analytics and business intelligence
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Foundations
Data sources
Data warehousing
Data delivery
Information
Insight
Information management and Governance | Security and Privacy | Organisation, roles, capability | Technology
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Use case: Princess Alexandra Hospital
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Health analytics - PAH
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Traditional descriptive analytics of:
Department level
Division
HospitalFTE Access
Efficiency Quality
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Performance Explorer
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Performance Explorer
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Payroll Dashboard
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Management Information System
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System Performance Reporting
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Health analytics - PAH
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Benchmarked• Department peers• National Peer
Group
Health analytics - PAH
By:
• Activity
• LOS
• Complication rates
• Readmission rates
• Other (e.g. LWs)
+ 360° peer survey
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At the individual doctor level (SMPR)
Main data source: Health Round Table
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Health analytics - PAH
• Bed management (patient flow)
• Early warning tools (clinical deterioration)
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Predictive analytics
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Health analytics - PAH
• Advanced decision support and reporting (e.g. 3D vector imaging –IBM Watson)
• Standardised Care Plans – use and variation
• Command Centre / Virtual Hospital
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Prescriptive analytics
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Health analytics - PAH
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New ieMR enabled dashboards – disease and therapeutics
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Health analytics - PAH
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Dashboards – Departmental Management
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Health analytics - PAH
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Streaming analytics Edge centric decision making
Change care delivery
prospectively to prevent harm
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Clinical governance scorecard
Health analytics - PAH
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Health analytics - PAH
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Clinical governance - National Safety and Quality Standards
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Health analytics
• Command centre
• Automated registries (Cancer, trauma, etc.)
• Augmented Intelligence / Swam Intelligence
• Data fusion
• Etc.
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Future
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Data analytics in healthcare
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Conclusion