Data Usability Tag

Home > Posts tagged "Data Usability"
AI-ready healthcare data supporting better AI, clinical workflows, analytics, and decision making

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

Posted at 10:07h in Hospitals and Clinics by Matt Langan 0 Comments
0 Likes

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...

Read More
Health Data News Roundup covering healthcare AI governance, rural health AI, data usability, and value-based care

17 Aug Health Data News Roundup: Healthcare AI Governance Lags; Rural Health AI Questions; and Data Usability Challenges

Posted at 09:37h in Health Data News Roundup by Matt Langan 0 Comments
0 Likes

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. This week's healthcare data news highlights the growing gap between AI adoption and the data, governance, and workflows needed to support it. From AI readiness and rural healthcare to data usability, value-based care, and the practical approaches being taken by community health systems, healthcare leaders are increasingly focused on ensuring new technologies deliver measurable value for organizations and patients. Healthcare AI Adoption Outpaces Data and...

Read More
Healthcare data usability supporting AI, analytics, quality reporting, and digital transformation

12 Aug Healthcare Doesn’t Have a Data Shortage. It Has a Data Usability Problem

Posted at 07:46h in Hospitals and Clinics by Matt Langan 0 Comments
0 Likes

Top Takeaways • Healthcare organizations have access to enormous volumes of data, but much of it still requires significant work before it can support clinical, operational, and strategic decisions.  • Interoperability has improved access to healthcare data, but exchanging information does not automatically make it standardized, trusted, or usable. • Poor data usability creates hidden operational costs through manual reconciliation, duplicate processes, fragmented reporting, and repeated data preparation. • A trusted enterprise data foundation can allow the same...

Read More