Kedis ku xidhan hagaha · Dhexdhexaad Heerka

AI oo ku jira Kediska Maareynta Diidmada Sheegashada

Tijaabooyinka dariiqa diidmada ku salaysan CARC, farqiga u dhexeeya diidmada iyo diidmada, iyo xadka CMS ee algorithms-ka bixiyaha ee go'aamada caymiska Medicare Advantage.

Wadooyinka haga ee la xidhiidhaAI Maaraynta Diidmada Sheegashada
Su'aal 1 ee 8

In the MRI example, what did the prediction model detect before submission?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. In the MRI example, what did the prediction model detect before submission?
    • The patient's copay was too high
    • A pattern of CO-197 denials when no authorization number was attached
    • The claim used an outdated code set
    • The MRI was performed out of network
  2. How is a claim rejection different from a denial?
    • A rejection means the claim never entered processing; a denial is a decision after processing
    • Waa isku shay
    • A rejection is always for medical necessity
    • A denial can never be appealed
  3. Why does the work queue send CO-16 denials to registration staff rather than coders?
    • CO-16 means the service was not medically necessary
    • CO-16 means the filing deadline passed
    • CO-16 means information is missing, which often comes from front-end data
    • CO-16 denials cannot be fixed
  4. What is the main risk of using a language model to draft appeal letters?
    • It writes letters that are too short
    • It cannot read PDFs
    • Payers refuse all typed appeals
    • It may invent policy language or misquote the chart
  5. What do CMS Medicare Advantage rules effective in 2024 say about algorithms in coverage decisions?
    • Decisions must rest on the individual patient's circumstances, not an algorithm alone
    • Algorithms are banned from all claims processing
    • Plans must publish their algorithms' source code
    • Algorithms may deny care without any review
  6. Which tools are named in lawsuits over automated payer decisions?
    • Epic MyChart and Cerner PowerChart
    • naviHealth nH Predict and Cigna's PxDx
    • ICD-10-CM and CPT
    • The X12 837 and 835 standards
  7. Why does model drift matter for denial prediction?
    • Claims get larger over time
    • Models get slower with age
    • When a payer changes a policy, older data stops reflecting how that payer behaves now
    • The 835 format changes every month
  8. According to the guide, what gives the most lasting reduction in denials?
    • Writing appeals faster
    • Sending claims more often
    • Switching clearinghouses each year
    • Fixing upstream causes such as registration, authorization and documentation