3.3.3 Harness the power of data to improve care delivery and operations
Optimising our ability to derive meaningful insights from data in a timely manner to guide and support decisions on how to improve care delivery and optimise operations. Using these insights to drive a culture of evidence based decisions for our operations as we do with the way we provide care.
Initiative
High Level Description
Expected Benefits
Implementation considerations
Leading Entity
Support the local aspiration of a data driven organisation by improving the local data and analytics capability including people, processes and tools. Data should be used to constantly improve everything we do so we can optimise practice in a continuous way e.g.: identifying deterioration of patients, improve patient flow, improve clinical quality and safety, support situational quality research, and provide personalised care. Examples of activities include:
Upskilled staff with the capability to turn data into insights and with the knowledge to find the right report at the right time Timely access to meaningful data in the context of an end to end process Trialling advanced analytics methods and learning from the trials
The workforce education, performance unit, specialised clinical teams and ICT teams should collaborate to review workforce data literacy gaps and put in place a program to improve this As analytics require a mixture of skillsets, continue to enhance the partnership between clinicians, the clinical informatics team and the performance unit to deliver analytics that support clinical decision making Consider the need of an easy to navigate and search repository of analytical and data assets to help users discover useful reports Align with investments and decisions from initiative ‘3.2 Leverage the statewide Data Lake initiative’ Continue to align to future statewide data and analytics positions.
Northern Sydney LHD
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3.1 Optimise the data and analytics capability
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Empowering staff with data lifecycle knowledge (Better quality data capture, consistency in meaning, access to appropriate data sources) and analytical tool usage to generate better insights using existing tools and sources
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Fostering a data and insights driven culture.
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► Enhancing locally built self-service dashboards with real time or near real time information combining data across end-to-end workflows to reduce the need of using multiple reports to obtain insights
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Trialling predictive analytics and Artificial Intelligence projects to identify missing capabilities in enhancing decision making across clinical and operation functions
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► Continuing to leverage statewide BI and analytics capabilities and investments, e.g.: QARS and ABM portal.
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