Charge Capture: Is it the Weak Link in Your Revenue Cycle?
The lack of a robust charge-capture program can have a significant impact on your bottom line. Many organizations neglect to focus on this aspect of the coding and billing process because claims are being submitted and paid. But overlooking missed, incorrect, and inconsistent charges is akin to leaving money on the table.
Release of Information: Can You Afford to Ignore Industry Changes?
MRO commissioned and published a nationwide survey of senior HIM professionals about release of information challenges, priorities, and strategies. The study, conducted by Porter Research, gathered executive insights representing 33 hospitals, 1253 clinics and 620,719 annual ROI requests. The summary report offers information to help organizations assess PHI disclosure management strategies and evaluate ROI vendors.
Learn More About the New Face of Cybersecurity
HIM professionals have worked diligently to protect data privacy and security during a time of digital transformation in healthcare. The unfortunate reality? Hackers have worked even harder to access that data. It’s a game of ‘cat and mouse,’ and regrettably, the mice (i.e., hackers) appear to have a competitive edge.
Seven New Opportunities For a Sustainable Revenue Cycle
Creating a sustainable revenue cycle occurs with the interaction of a number of important functions, people, and processes, all of which must work in tandem.
Natural Language Processing: A Catalyst Driving Revenue Cycle Transformation
Natural language processing (NLP) is delivering on the promise of artificial intelligence in healthcare by providing significant value across clinical and administrative functions. This white paper examines the capabilities of clinically aware NLP and why it’s essential to revenue cycle transformation; five things to look for in an NLP solution; and vital areas where it’s currently showing significant impact.
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 Records containing errors such as wrong phone number, missing information, outdated details, and duplicate records are just a few of the accuracy problems plaguing most systems.
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