Interacting with Research Organisations HEALTH AND BIOSECURITY - - PowerPoint PPT Presentation

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Interacting with Research Organisations HEALTH AND BIOSECURITY - - PowerPoint PPT Presentation

Interacting with Research Organisations HEALTH AND BIOSECURITY Research Organisations and your data team Research organisations love to collaborate Discover Real world problems and contribute real world solutions Advantages for the


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Interacting with Research Organisations

HEALTH AND BIOSECURITY

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SLIDE 2

Research Organisations and your data team

  • Research organisations love to collaborate
  • Discover Real world problems and contribute real world solutions
  • Advantages for the Health Service providers
  • Leverage the expertise of the researchers
  • Participate in research
  • Develops your staff
  • Publish the great work your doing!
  • Obligations
  • Probably will cost money – but don’t look at it as funding other peoples research,

you’re part of the team!

  • Does take time
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Clinical Terminology Tools

Shrimp, Snapper, OntoServer, snorocket, SnoMAP…

AEHRC: Innovation Partner for Health Services | David Hansen 3 |

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SnoMAP

Supporting Qld Health use of SNOMED CT

AEHRC: Innovation Partner for Health Services | David Hansen 4 |

2014 2015 2016

Number of unique ICD-10-AM codes

801 817 2254

Number of unique SNOMED CT AU concepts used

  • 6007

Number of patient cases that resulted in ABF errors

1 28

  • SNOMED CT to ICD-10 for

Activity Based Funding in Emergency Departments

  • Initially PAH, now Cairns,

Townsville, Mackay, …

SNOMED CT-AU ICD-10-AM EDRS Map (IHPA) 5,760 3,055 SnoMAP 79,639 10,018

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Royal Australian College of Surgeons

Morbidity and Audit Logbook Tool

  • Migration to native SNOMED CT - “map for old, refset for new”

AEHRC: Innovation Partner for Health Services | David Hansen 5 |

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Patient Flow @ CSIRO AEHRC

Aims :

  • Improving public hospital

performance through efficiency improvements

  • Creating an evidence base to

support policy and decision making Science Areas :

  • Visualisation
  • Statistical Modelling
  • Machine Learning
  • Stochastic Optimisation
  • Distributed Constraint Reasoning
  • Discrete Event Simulation
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SLIDE 7

Predicting Hospital Demand - Patient Admission Prediction Tool

  • Forms a regular component of

daily bed management across major QLD public hospitals

  • Licensed in Australia and
  • verseas
  • Estimated to deliver $23 million

(direct), and $250m (indirect) in productivity gains per annum

  • Several awards related to

efficiency and effectiveness

Boyle J, Jessup M, Crilly J, Green D, Lind J, Wallis M, Miller P, Fitzgerald G. Predicting emergency department admissions. Emerg Med J. 2012 May;29(5):358-65.

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SLIDE 8

Risk Stratification for Hospital Avoidance

To be employed across 200 GP Practices and Aboriginal Health Services starting 1 December 2017 Predictive Algorithm Driven Risk Stratification to inform Patient Recruitment Care for chronic and complex conditions coordinated by local GP practice – the patient’s Health Care Home