Maturing data and analytics to deliver better patient care

Health & Aged Care case study

data analytics patient care

Evinact collaborated with a Queensland Hospital and Health Service to develop a data and analytics operating model which aimed to optimise decision making, clinical service delivery and patient care.

The context

The Hospital and Health Service (HHS) plays a critical role in delivering high-quality healthcare across a South East Queensland.

As a recognised leader in digital health, the HHS utilises extensive digital healthcare systems and are committed to elevating their data and analytics maturity to empower informed decision-making, deliver better patient outcomes, and achieve greater operational efficiency.
Evinact was engaged to design an enterprise-wide Data and Analytics Operating Model spanning multiple teams and functions. The operating model established clear governance structures, roles and responsibilities, and ways of working to strengthen data management practices, improve accountability, and support a patient-first approach to data and analytics.

The method

Through a series of stakeholder engagement activities, including interviews, workshops and a staff survey, the Evinact team built an in-depth understanding of the HHS’ current ecosystem of data and analytics, as well as the desired future state. Strengths, challenges, and areas of improvement were identified, including limited data governance, unclear roles and responsibilities between data teams, critical dependency risks, duplication of technology platforms and a lack of a clear operating model for data and analytics across the health service.

These identified pain points and opportunities, along with industry best practice, were used to develop an future state operating model for the data and analytics function with a supporting Roadmap and Implementation Plan.

The artefacts developed by Evinact clearly outlined:

  • the value proposition of data and analytics for the HHS and the community they serve.
  • clear roles and responsibilities for data and analytics across multiple data teams.
  • the capabilities required to deliver on the desired future state and supporting governance structures.
  • the activities required to achieve the future state over a three-year period.

 

The impact

The work delivered by Evinact streamlined and strengthened the HHS’ ability to make informed decisions and respond effectively and efficiently to patient needs based on reliable and trusted data driven insights.

If your organisation is facing similar challenges, we can help you. Read more about our enterprise data management services.

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Michelle Teis

Michelle is a senior executive with 30 years of leadership experience in data strategy, governance, management and analytics. With a strong foundation in promoting data-driven decision-making, Michelle is a trusted advisor to other C-Suite executives.​

Michelle Teis Headshot - Michellle wears a blue blouse with a white necklace and earrings.

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