AHIMA, AHCA Collaborate to Train Skilled Nursing Facilities in ICD-10, CDI

With the biggest reimbursement system change for skilled nursing facilities (SNFs) in 20 years approaching, the American Health Information Management Association (AHIMA) and the American Health Care Association (AHCA) partnered up to ensure SNFs were ready.

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Case Study: University of Utah Health Strengthens Referring Partner Relationships
Apr01

Case Study: University of Utah Health Strengthens Referring Partner Relationships

The costs of inaccurate provider data are significant to HIM departments but difficult to quantify, and often hospitals are unaware of their data’s poor quality. Records containing errors such as wrong phone number, missing information, outdated details, and duplicate records are just a few of the accuracy problems plaguing most systems.

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Lack of Post-Discharge Communication Puts Patients at Risk

Home caregivers in Colorado say clinical information needed to treat the patient is frequently lacking when patients are discharged from hospitals to home healthcare, according to a recent survey.

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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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