Untangling clinical data integration
July 8, 2019
RESEARCH REPORT
In brief
In brief
- Accenture surveyed 105 IT executives from payer and provider organizations in Europe and the United States to understand motivations, obstacles and trends in clinical data integration.
- Data integration is often hampered by complex workflows, dispersed IT systems, and heterogeneous data sets and standards.
- A majority of the of organizations surveyed had a clear digital and innovation agenda that addresses the need for data integration.
- Almost half of respondents mentioned healthcare data integration would enable faster diagnosis of conditions.
Healthcare organizations rely on health information and integration across multiple sources to make the best decisions when caring for patients, reduce costs for hospitals and increase provider efficiency.
Integration ensures vital real-time clinical data is available in patient records at the time of service. However, data integration is often hampered by complex workflows, dispersed IT systems, and heterogeneous data sets and standards
A majority of the of organizations surveyed had a clear digital and innovation agenda that addresses the need for data integration.
80%
of healthcare data executives believe that Artificial Intelligence and Machine Learning can help realize value sooner through data integration.
76%
Of respondents said improving patient experiences is the most important aspect of data integration.
50%
Of respondents believe increased workflow efficiency is a top trend driving improved data integration.
Various IT systems are leveraged across organizations, but less than half of the participants are using an integration engine.
Challenges related to clinical data integration present obstacles when adopting innovative solutions, such as cloud-based applications. Find out more about this and other elements related to clinical data integration in our infographic.
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