View source for 20240047055. METHOD AND SYSTEM FOR MEDICAL CODING AND BILLING simplified abstract (The Board of Regents for the Oklahoma Agricultural and Mechanical Colleges)

=METHOD AND SYSTEM FOR MEDICAL CODING AND BILLING=


==Organization Name==

[[:Category:The Board of Regents for the Oklahoma Agricultural and Mechanical Colleges|The Board of Regents for the Oklahoma Agricultural and Mechanical Colleges]]


[[Category:The Board of Regents for the Oklahoma Agricultural and Mechanical Colleges]]

==Inventor(s)==

[[:Category:Suhao Chen of Stillwater OK (US)|Suhao Chen of Stillwater OK (US)]][[Category:Suhao Chen of Stillwater OK (US)]]

[[:Category:Zhuqi Miao of Stillwater OK (US)|Zhuqi Miao of Stillwater OK (US)]][[Category:Zhuqi Miao of Stillwater OK (US)]]

[[:Category:Thanh Thieu of Stillwater OK (US)|Thanh Thieu of Stillwater OK (US)]][[Category:Thanh Thieu of Stillwater OK (US)]]

[[:Category:Andrew Gin of Stillwater OK (US)|Andrew Gin of Stillwater OK (US)]][[Category:Andrew Gin of Stillwater OK (US)]]

[[:Category:William Paiva of TULSA OK (US)|William Paiva of TULSA OK (US)]][[Category:William Paiva of TULSA OK (US)]]

==METHOD AND SYSTEM FOR MEDICAL CODING AND BILLING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240047055 titled 'METHOD AND SYSTEM FOR MEDICAL CODING AND BILLING

==Simplified Explanation==

The abstract describes a system and method for segmenting computer-readable clinical notes of a healthcare provider into sections with textual content. The system uses natural language processing and predefined dictionaries to parse the textual content. Predefined rules are then applied to generate at least one candidate, which provides a current procedural terminology (CPT) medical code based on the parsed textual content.

* The system segments clinical notes into sections with textual content.
* Natural language processing and predefined dictionaries are used to parse the textual content.
* Predefined rules are applied to generate at least one candidate.
* The candidate provides a CPT medical code based on the parsed textual content.

Potential applications of this technology:
* Streamlining medical coding and billing processes.
* Automating the generation of CPT medical codes from clinical notes.
* Enhancing the accuracy and efficiency of medical coding.

Problems solved by this technology:
* Manual coding of medical procedures can be time-consuming and prone to errors.
* Interpreting and extracting relevant information from clinical notes can be challenging.
* Ensuring consistency and accuracy in medical coding across healthcare providers.

Benefits of this technology:
* Saves time and reduces the administrative burden on healthcare providers.
* Improves accuracy and reduces the risk of coding errors.
* Enhances efficiency in medical coding and billing processes.
* Facilitates standardized and consistent coding practices.


==Original Abstract Submitted==

a system and method configured to segment computer readable clinical notes of a healthcare provider into a plurality of sections having textual content. for each section, the system is configured to parse the textual content with natural language processing using at least one pre-defined dictionary. a set of predefined rules are applied to the parsed textual content to generate at least one candidate. the at least one candidate provides at least one current procedural terminology (cpt) medical code based on the parsed textual content.



[[Category:G16H40/20]]
[[Category:G16H10/60]]