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AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data
book

AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data

by Anshik
June 2021
Intermediate to advanced
391 pages
7h 20m
English
Apress
Content preview from AI for Healthcare with Keras and Tensorflow 2.0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data
© Anshik 2021
AnshikAI for Healthcare with Keras and Tensorflow 2.0https://doi.org/10.1007/978-1-4842-7086-8_4

4. Predicting Medical Billing Codes from Clinical Notes

Anshik1  
(1)
New Delhi, India
 

Clinical notes contain information on prescribed procedures and diagnosis from doctors and are used for accurate billing in the current medical system, but they are not readily available. We must extract them manually or use some assistive technology for the process to be carried out seamlessly.

This adds to the administrative costs for both the payers and providers. Providers alone spend roughly $282 billion on just the insurance and medical billing costs. Good record keeping and quality tracking is an added cost. Compared to the professional revenue associated ...

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Publisher Resources

ISBN: 9781484270868Purchase LinkPublisher Website