SESSION 414: <br/>FHIR-powered analytics for clinical decision support

Track 15
Tuesday, July 11, 2023
10:40 AM - 12:10 PM
C3.4

Overview

C3.4
Workshop


Details

Workshop: FHIR-powered analytics for clinical decision support

Health data analytics continues to change in several important ways, including:

  • An increased focus within EMRs on clinical data capture at the point of care
  • Increased adoption of standards within source systems, such as SNOMED CT and FHIR
  • Standardisation of the clinical registry model through standards like OMOP
  • The move to self-service analytics within health care provider organisations and
  • Increased adoption of AI models within clinical decision support and patient management
Lets get together to discuss these themes and learn more about new tools and techniques that can support analysts and researchers through these changes.

Learning objectives:
  • Understand emerging tools and techniques for data analysis and transformation
  • Learn about the evolving digital health and health data standards environment
  • Share learning gained in the development of state of the art operational and clinical decision support applications
  • Identify best practice approaches to data science and data engineering workflows


Speaker

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John Grimes
Principal Research Consultant
Australian e-Health Research Centre, CSIRO

Workshop: FHIR-powered analytics for clinical decision support

10:40 AM - 12:10 PM

Biography

John is an engineer and researcher at the Australian e-Health Research Centre. His current focus is on enabling the use of standards within health data analytics. John is the primary contributor to Pathling, a set of tools that make it easier to use clinical terminology and FHIR with Apache Spark.
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Dr Sankalp Khanna FAIDH
Team Leader - Health Intelligence
Australian e-Health Research Centre, CSIRO

Workshop: FHIR-powered analytics for clinical decision support

10:40 AM - 12:10 PM

Biography

Sankalp Khanna is a Principal Research Scientist and leads the Health Intelligence team at the CSIRO Australian e-Health Research Centre. His research is focused on applying Artificial Intelligence and Machine Learning techniques to model, analyse, predict, simulate and optimise patient flow through Australian public hospitals and develop explainable algorithms for delivering decision support that clinicians can interpret and trust. Solutions developed by Sankalp have helped reshape workflow and policy in hospitals in Australia and overseas. Sankalp is also Adjunct Associate Professor at the Queensland University of Technology and Griffith University, the Secretary of the Pacific Rim International Conference on Artificial Intelligence (PRICAI) Steering Committee, and a founding Fellow of the Australasian Institute of Digital Health.

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