Shaping Allied Health Analytics – A Dashboard Decision Support Tool to Digitally Enable Complex Clinical & Service Analytics

Ms Sarah Childs1, Ms Julia Capper1

1Allied Health Directorate, Northern Sydney Local Health District, St Leonards, Australia

Allied Health (AH) data is extremely rich and valuable for monitoring patient care, planning of service resources, patient costing analysis, research and quality improvement projects. However service managers often lack the time, capabilities or access to complete data extraction, accurate linking, transforming, visualisation and interpretation tasks. At Northern Sydney Local Health District (NSLHD), there was a need for a digital solution to tap into multiple valuable data assets.

A user-centered designed QlikSense Dashboard decision support tool was rolled out across NSLHD AH teams in 2021. The Dashboard is a collection of striking data visualisations in an infographic format, providing a meaningful collection of charts and graphs. This Dashboard enables managers and clinicians to easily and quickly perform complex analytics, supports clinical and service decision making and communicates the value Allied Health adds to patient care. The easy-to-use and understand data visualisations supports and champions data literacy maturity and engagement.

The primary aim of the new NSLHD AH Dashboard is to make available linked datasets such as clinician-patient interventions, referrals, consults, appointments, workforce details and rostering, patient details including diagnosis & demographics, all in the one easy to use platform that is automatically updated daily. A secondary aim is to digitally support decision making using the available data, such as evaluating service delivery models or resource planning due to changes in service demand, by providing self-serve analytic functions.


Biography:

Sarah Childs is currently the Allied Health (AH) Performance Analyst for Northern Sydney Local Health District. Sarah has qualifications in Medical Science and Business and has experience working in health, business and cyber security analytics. Sarah currently focuses on AH analytics, the development of digital decision support tools and resources for AH and the management of data governance and change initiatives.

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