Sage Growth Partners, commissioned by InterSystems, recently published a survey highlighting the challenges leaders are continuing to face in using data to make timely clinical decisions
HealthCare Innovation
Nov. 2, 2021
Janette Wider
On Oct. 14, Baltimore, Md.-based Sage Growth Partners, a health consultancy company, commissioned by the Cambridge, Mass.-based InterSystems, a healthcare data technology provider, released a survey of 100 healthcare executives entitled,
The survey found that leaders are continuing to face challenges in collecting, normalizing, analyzing, and using data to make timely clinical decisions.
“Despite widespread adoption of electronic data, most executives say that they still lack data they can trust to drive good analytics and meet their strategic priorities,” the survey states.
“And over half of survey respondents say that these issues negatively impact their ability to make decisions, identify gaps in care, optimize the revenue cycle, and meet quality metrics.”
Key findings from the survey include:
- 85% of respondents said it they view analytics priorities as fundamental to achieving their broader strategic objectives
- 20% responded that they fully trust their data
- 64% say it is somewhat credible
- 51% report that data integration and interoperability are the most significant barrier to achieving their strategic priorities related to data analytics
- More than half say data quality has serious consequences:
Leading to
- ineffective or slow decision making (53 percent)
- The inability to identify gaps in care (50 percent)
Among their priorities:
- 84% say creating and sharing high-quality data across their organizations is a top strategic priority for analytics in the next 12 months
- 84% say creating and sharing high-quality data across their organizations is a top strategic priority for analytics in the next 36 months
- 85% say real-time and harmonized data is crucial for key stakeholders to make informed operational decisions
Sage Growth Partners surveyed 100 leaders of acute hospitals and health systems with at least 250 beds and was conducted in the summer of 2021.
Sixty-nine percent surveyed are members of the C-suite and 31 percent are VPs or directors.
The survey concludes that
- “Clearly, healthcare executives continue to need better solutions that can integrate a broad array of data in a timely, digestible, and accessible format.
- Making reliable data visible across the organization for different users to get what they need from a single source of truth is essential to achieving the goals HCOs [healthcare organizations] have set for themselves.
- Without that, it’s much harder to close care gaps, optimize clinical and business performance, and track, report and improve value.”
Without that, it’s much harder to close care gaps, optimize clinical and business performance, and track, report and improve value.
The full report can be accessed here.
Originally published at https://www.hcinnovationgroup.com
Solving the problem: A single data asset
This survey reveals that, despite the push to digitize healthcare data, hospitals and health systems continue to struggle under the weight of inaccurate, untimely, missing, and/or duplicate data.
Half of the respondents lack the interoperability needed to achieve their strategic analytics priorities — which in turn hurts their clinical and business decisions.
Clearly, healthcare executives continue to need better solutions that can integrate a broad array of data in a timely, digestible, and accessible format.
Making reliable data visible across the organization for different users to get what they need from a single source of truth is essential to achieving the goals HCOs have set for themselves.
Without that, it’s much harder to close care gaps, optimize clinical and business performance, and track, report and improve value.
What do executives want in a solution to help them address these issues? In our survey,
- respondents are receptive to a ‘smart healthcare data fabric’ that can enable them to collect dispersed data domains into a single data asset for reporting, analytics, and machine learning, using a healthcare data model and data harmonization.
The C-Suite is a top user of this data, and they and other users value the ability to quickly access this data for their unique needs.
Having a smart healthcare data fabric that includes
- a robust data model and
- data harmonization is an appealing way to solve these persistent challenges.
