Prueba explicativa sobre codificación asistida por computadora

Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

1. ¿Qué separa la codificación asistida por computadora de la codificación autónoma, según la guía?
   • CAC does not use natural language processing
   • In CAC, a human validates every chart, while autonomous systems send some encounters to billing without review
   • CAC is used only for outpatient claims
   • Autonomous coding requires coders to type every code by hand
2. CAC sugiere un código de neumonía en un expediente ambulatorio basado en una nota que dice "descartar neumonía". ¿Por qué el codificador lo rechaza?
   • Pneumonia codes are not part of ICD-10-CM
   • CAC cannot read progress notes
   • The physician must code pneumonia personally
   • Outpatient guidelines do not allow coding uncertain diagnoses as confirmed
3. ¿Qué frase evitaría la detección de experimentadores de un motor de PNL ser codificada como la propia condición del paciente?
   • "Patient has acute kidney injury"
   • "Status post appendectomy"
   • "Mother had breast cancer"
   • "Patient reports chest pain"
4. En la evaluación CAC, ¿qué significa en la práctica un bajo recuerdo?
   • The system misses correct codes, so coders must still hunt for them
   • Most suggested codes are wrong
   • Claims are billed too quickly
   • Coders reject every suggestion
5. ¿Qué mide la métrica "días dados de alta, no facturados finales" (DNFB)?
   • The number of codes per chart
   • How many physicians write queries
   • The length of a patient's hospital stay
   • How long discharged accounts wait for final coding
6. Why was CAC adoption in the United States tied to October 2015?
   • That is when CPT was retired
   • That is when HIPAA took effect
   • That is when the switch from ICD-9 to ICD-10 raised fears of lost coder productivity
   • That is when autonomous coding was banned
7. Coders accept nearly every CAC suggestion for one physician's patients. According to the guide, why should this trigger review?
   • High acceptance always proves the engine is accurate
   • High acceptance can mean coders have stopped checking rather than that the suggestions are correct
   • Acceptance logs are not allowed in audits
   • Physicians must approve every accepted code
8. Which step in the NLP pipeline keeps "no evidence of pneumonia" from producing a pneumonia code?
   • Negation detection, using approaches such as NegEx or transformer models
   • Section detection alone
   • Mapping to CPT
   • Sentence splitting alone