Health Data Quality Assessment Tag

21 Oct As CMS Pushes ACO Growth, Healthcare Data Takes Center Stage

As CMS calls for broader participation in accountable care organizations, the ability to integrate and use reliable clinical and claims data will play an increasingly important role in improving quality, managing costs and demonstrating value. Top Takeaways • CMS is calling for broader ACO participation as Medicare continues its shift toward value-based care.• The Medicare Shared Savings Program includes 511 ACOs serving 12.6 million beneficiaries in 2026.• Reliable clinical and claims data is essential for care coordination,...

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14 Oct Healthcare Interoperability Challenges Persist. What Comes Next?

Despite widespread adoption of electronic health records and progress in nationwide data exchange, healthcare interoperability challenges continue to limit how effectively organizations can access and use patient information. A new congressional report highlights why data quality, standardization and usability remain essential. Top Takeaways • A new Congressional Research Service report identifies four persistent barriers to healthcare interoperability.• healthcare interoperability. • Widespread EHR adoption has not eliminated challenges involving data exchange, accessibility and usability.• Uneven participation among healthcare organizations...

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Health IT ROI supported by trusted healthcare data and automation

07 Oct Healthcare Wants More ROI From Health IT. Here’s How to Prove Value Before You Scale.

Top Takeaways • Healthcare executives are placing greater emphasis on measurable returns from health IT and AI investments.• Pilots, proofs of concept and initial workflows can help organizations demonstrate value before committing to larger implementations.• Understanding the quality and readiness of healthcare data can help organizations identify risks that could limit the return on technology investments.• Automation and AI can create ROI by reducing the effort required to prepare and deliver trusted data.• New partnership and...

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Healthcare AI ROI and AI ready healthcare data

10 Sep Healthcare Is Scaling AI. Can It Prove the ROI?

Top Takeaways • Healthcare organizations are scaling AI faster than many can consistently measure its financial impact. • Deloitte research cited by Becker’s found that 44 percent of surveyed healthcare organizations were AI “scalers,” but only 18 percent of those organizations had mature capabilities for consistently attributing AI investments to revenue growth or cost savings. • Measuring AI ROI requires reliable baselines, consistent performance data, and clear metrics for determining whether AI is actually improving outcomes. • Fragmented, incomplete,...

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AI-ready healthcare data supporting better AI, clinical workflows, analytics, and decision making

19 Aug AI Shouldn’t Automate Healthcare’s Data Problems

Top Takeaways • AI can accelerate healthcare workflows, but it can also magnify longstanding problems with fragmented data, redundant processes, and inconsistent information. • Healthcare organizations should evaluate the data and workflows behind a process before using AI to automate it.• AI-ready healthcare data must be complete, standardized, normalized, and usable across systems and applications.• A trusted enterprise data foundation can support AI while also improving quality reporting, analytics, population health, and other healthcare priorities.• AI implementation...

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