Readily Understandable Cost, Quality Data Are Influential Factors in Physician Decision-Making

When physicians have access to cost data and other clinical data that accompanies it, they are able to make better decisions about treatments while lowering costs for their practices and their patients, a report finds.

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Five Ways Artificial Intelligence Is Transforming Healthcare Operations
Jan01

Five Ways Artificial Intelligence Is Transforming Healthcare Operations

While the practical applications of artificial intelligence (AI) are still being discovered, one area of AI — natural language processing (NLP) — is already helping advance the revenue cycle. Discover how the right NLP can support accuracy, efficiency and revenue integrity by powering comprehensive clinical documentation improvement and coding earlier in the process.

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Case Study: The Patient Matching Challenge
Nov01

Case Study: The Patient Matching Challenge

With numerous health systems experiencing mergers and acquisitions, interoperability and health information management have presented a significant barrier toward optimal care delivery and improved patient outcomes. The integrity of patient data can be threatened when patient records converged from different electronic health record (EHR) systems can’t be correctly matched and linked.

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The Top Three Healthcare Challenges Facing HIM in 2018 [Sponsored]

In a recent focus group of hospital executives, three issues emerged as high priorities for 2018 for hospitals and health systems: achieving interoperability, ensuring the best and most cost-effective health outcomes for patients, and securing data.

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White Paper: Improving Patient Matching with a Simple Plug-in
Sep18

White Paper: Improving Patient Matching with a Simple Plug-in

There are substantial—and growing—costs to inaccurate patient matching. Learn how a groundbreaking solution can improve match rates, thereby improving healthcare data exchange.

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Patient-Reported Information Has Important Impact on Key Quality Measures

A new study sheds light on the importance of patient-reported data in developing longitudinal records from past events, filling gaps in patient records, and preventing hospital readmissions and other poor outcomes.

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