Data Analytics in Healthcare Health Data Analytics Conference – October 2017 Dr Richard Ashby Chief Executive / Chief Information Officer eHealth Queensland Follow us on Twitter @eHealthQLD
Data analytics in healthcare Advanced health analytics is one of the hottest topics in healthcare today! Follow us on Twitter @eHealthQLD 2
“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” NSW Health 2016 Follow us on Twitter @eHealthQLD 3
History of health analytics Florence Nightingale • ‘Founder of modern nursing’ • Crimean War 1854 • Popularised the graphical presentation of statistical data, especially around infection, sanitation, nutrition, etc. • Mortality 40% 10% Follow us on Twitter @eHealthQLD 4
History of health analytics Ernest Codman • Founder of outcomes management in patient care • ‘End results cards’ – Demography – Diagnosis – Treatment – Outcome • Morbidity and mortality conferences • Advocated publication Follow us on Twitter @eHealthQLD 5
History of health analytics 1914 - 2005 Descriptive analytics – “What happened” Follow us on Twitter @eHealthQLD 6
Contemporary development and concepts • Predictive analytics • Prescriptive analytics • Big data / small data • Augmented intelligence / Swarm intelligence • Machine learning • Visualisation / virtualisation • Gamification Follow us on Twitter @eHealthQLD 7
Adoption model Follow us on Twitter @eHealthQLD 8
Adoption model Follow us on Twitter @eHealthQLD 9
Data analytics and business intelligence Insight Information Data delivery Data warehousing Data sources Foundations Information management and Governance | Security and Privacy | Organisation, roles, capability | Technology Follow us on Twitter @eHealthQLD 10
Use case: Princess Alexandra Hospital Follow us on Twitter @eHealthQLD 11
Health analytics - PAH Traditional descriptive analytics of: Hospital FTE Access Division Quality Efficiency Department level Follow us on Twitter @eHealthQLD 12
Performance Explorer Follow us on Twitter @eHealthQLD 13
Performance Explorer Follow us on Twitter @eHealthQLD 14
Payroll Dashboard Follow us on Twitter @eHealthQLD 15
Management Information System Follow us on Twitter @eHealthQLD 16
System Performance Reporting Follow us on Twitter @eHealthQLD 17
Health analytics - PAH Follow us on Twitter @eHealthQLD 18
Health analytics - PAH At the individual doctor level (SMPR) By: Benchmarked • • Activity Department peers • National Peer • LOS Group • Complication rates • Readmission rates • Other (e.g. LWs) + 360° peer survey Main data source: Health Round Table Follow us on Twitter @eHealthQLD 19
Health analytics - PAH Predictive analytics • Bed management (patient flow) • Early warning tools (clinical deterioration) Follow us on Twitter @eHealthQLD 20
Health analytics - PAH Prescriptive analytics • Advanced decision support and reporting (e.g. 3D vector imaging – IBM Watson) • Standardised Care Plans – use and variation • Command Centre / Virtual Hospital Follow us on Twitter @eHealthQLD 21
Health analytics - PAH New ieMR enabled dashboards – disease and therapeutics Follow us on Twitter @eHealthQLD 22
Health analytics - PAH Dashboards – Departmental Management Follow us on Twitter @eHealthQLD 23
Health analytics - PAH Streaming analytics Edge centric decision making Change care delivery prospectively to prevent harm Follow us on Twitter @eHealthQLD 24
Health analytics - PAH Clinical governance scorecard Follow us on Twitter @eHealthQLD 25
Health analytics - PAH Clinical governance - National Safety and Quality Standards Follow us on Twitter @eHealthQLD 26
Health analytics Future • Command centre • Automated registries (Cancer, trauma, etc.) • Augmented Intelligence / Swam Intelligence • Data fusion • Etc. Follow us on Twitter @eHealthQLD 27
Data analytics in healthcare Conclusion Follow us on Twitter @eHealthQLD 28
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