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