GUEST RESEARCH: 56% lack full trust in data, 51% say data quality hinders analytics and 68% lack holistic data strategy – impeding organisations’ ability to improve patient outcomes at an optimised cost
InterSystemsa provider of next-generation solutions for enterprise digital transformation to help customers solve the most critical data challenges, today revealed that most Australian and New Zealand healthcare organizations struggle to use data analytics to support their business objectives.
This is among the findings of The State of Healthcare Analytics & Interoperability Study – Australia & New Zealand. The new study by InterSystems and tech advisory firm, Ecosystmsurveyed 180 healthcare executives across public and private organisations, large and small hospitals, and city and rural locations.
The study found a lack of trust in data, challenges with data quality and the absence of a holistic digital transformation strategy are roadblocks to organizations using data analytics to meet their top business objectives. These include improving clinical outcomes and optimizing costs.
Despite 79% of surveyed executives saying data analytics was either intrinsic to all their business priorities or a top priority, only 44% of respondents fully trust their data, and 51% say data quality is a challenge to successfully implementing analytics.
“Without trust in their data, healthcare organizations are squandering one of their most important assets and impeding their ability to achieve their main business objectives,” said Darren Jones, Country Manager, Australia and New Zealand for InterSystems.
The study found that the top business objectives for many organizations include the conflicting demands to improve clinical outcomes and reduce costs. Complying with government mandates was cited as a top business objective by most (64%) respondents, followed by cost optimization (46%) and improving clinical outcomes (42%).
Healthcare organizations’ top business objectives align with the outcomes they expect from analytics solutions. These include the identification of patient risk (44%), improved patient outcomes or experience (41%), reduced clinical errors (36%) and reduced costs (34%).
“The study reveals a shift in mindset towards value-based healthcare – leveraging data analytics to improve outcomes at an optimized cost – as a way to resolve conflicting business objectives,” said Jones. “Unfortunately, most healthcare organizations don’t yet have that capability.”
The study reveals that only 32% of healthcare organizations have a digital transformation strategy that includes interoperability, data governance and analytics. The absence of a holistic data strategy is a significant roadblock for the remaining 68% of organizations in achieving their top business objectives.
“Building trust in data for effective analytics requires a data-driven organizational culture where people and processes are focused on accuracy across the data value chain and consistency across disparate data sources,” said Jones.
“That is virtually impossible without a holistic digital transformation strategy and next-generation platforms like InterSystems IRIS for Health™ or IinterSystems HealthShare® which support advanced interoperability and data cleansing.”
The State of Healthcare Analytics & Interoperability Study – Australia & New Zealand is available at: InterSystems.com/au/the-state-of-analytics-and-interoperability-study.
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