Data Analytics in Healthcare Health Data Analytics Conference - - PowerPoint PPT Presentation

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data analytics in healthcare
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Data Analytics in Healthcare Health Data Analytics Conference - - PowerPoint PPT Presentation

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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

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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 Hospital FTE 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