Healthcare organizations in Australia and New Zealand have struggled to harness the power of data and analytics to improve clinical and patient outcomes due to their inability to exchange data seamlessly and in real time. To address this challenge, health officials in the region are calling for the standardization of data exchange, according to a new report.
A new A study commissioned by InterSystems aimed to understand the current state of healthcare analytics and interoperability in ANZ. Conducted by technology consultancy Ecosystm, the survey collected responses from 180 healthcare executives in the region.
RESULTS
Based on the survey, nearly eight out of 10 healthcare organizations surveyed ranked analytics as a top priority in their business. They primarily expect analytics solutions to help identify patient risks, reduce clinical errors, improve patient outcomes and experience, and reduce costs.
For 2022-2023, ANZ healthcare organizations said they will focus on the following key technology areas: EMR redesign, cloud computing optimization, clinical analytics and AI , and data interoperability.
Despite having the drive to pursue digital transformation using data and analytics, these organizations are still underutilizing the immense volume of data at their disposal.
Here’s why:
1. More than 50% of key stakeholders do not fully trust data.
2. Data quality and success of access limits.
Most organizations lack the ability to share real-time data and integrate disparate enterprise systems for data exchange. They also lack a single source of truth for all data.
While about half of organizations are able to use hospital patient clinical data in their healthcare analytics solutions, only 41% can analyze data from diagnostic systems and only 38% can analyze hospital data. administration of patients. About a third of them have outpatient clinical data available for analysis. In addition, almost a quarter can analyze text from communication systems or log files and 18% can use data from sensors or medical devices for analysis.
3. Organizations’ data policies may be out of date.
Most healthcare organizations embarked on a journey to data long before they realized they needed a strategy to support it. Only 33% have an underlying digital transformation strategy.
4. Organizations analyze limited data.
The report noted that this is because multiple datasets are not interoperable and cannot interact. Their clinicians can only make clinical decisions using “only a fraction” of the total data their organization has access to.
5. Organizations’ data strategies are hampered by business challenges.
Their top three challenges include a lack of sufficiently skilled IT staff, securing a budget, and a lack of staff with both clinical and analytical skills.
Aware of their limitations, nearly 7 out of 10 healthcare establishments now want standardization of data exchange; about half want access to real-time data; and more than a third want to improve transactional workflows across the continuum of care.
InterSystems noted that 11% of healthcare organizations in ANZ currently use FHIR-compliant data exchange, while around 67% use more than one interoperability method. The survey also noted that three in 10 organizations seek standards-based interoperability methods, including IHE-certified data exchange, HL7/X12 interface engines, and FHIR-compliant data exchange.
THE GREAT TREND
In Australia, health authorities are continuing their national healthcare interoperability plan to enable a more connected Australian healthcare system by 2027. Recently, the Australian Digital Health Agency (ADHA) has linked with Health Level Seven Australia to promote consistent adoption of FHIR standards across all healthcare settings.
A A Center of Excellence for Australian Healthcare Connectivity is also being established through ADHA’s collaboration with the Australian Center for eHealth Research under CSIRO. It will create a world-class terminology service and capability in Australia through the National Clinical Terminology Service.
REGISTRATION
“The road to healthcare interoperability has been bumpy. Obstacles include multiple jurisdictions and a complex mix of public/private healthcare. But out of that adversity came FHIR, a huge breakthrough in standards of healthcare data, which our study suggests is on the cusp of mainstream. Increased adoption of FHIR would increase the data available for analysis and enable data-driven care initiatives to address the challenges our systems face. are facing,” said Darren Jones, Country Director of InterSystems ANZ.
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