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Medical Coding

Working with Thoughtful can have several advantages when it comes to medical coding. Firstly, it can increase productivity and efficiency by reducing the time and effort required to manually assign medical codes to patient records. Automation can streamline the process by using machine learning algorithms to quickly identify and assign the correct medical codes based on the diagnosis and treatment information provided. Secondly, automation can improve accuracy and reduce errors by minimizing the potential for human error in the coding process. This can lead to better patient outcomes and fewer billing discrepancies. Finally, automation can keep up with the ever-changing medical coding landscape by automatically updating codes as new codes are introduced or old codes are retired. Overall, automating medical coding can help companies save time, reduce errors, and improve patient outcomes.

Function:

Revenue Cycle Management

Steps

  1. Data Extraction: The bot first extracts patient data from various sources, such as electronic health records, diagnostic reports, and lab results.
  2. Data Pre-processing: The bot pre-processes the extracted data, such as cleaning up the data and converting unstructured data into structured data.
  3. Codebook Creation: The bot then creates a codebook, which contains a list of medical codes and their corresponding definitions. The codebook can be either a pre-existing one or it can be created from scratch using a machine learning algorithm that can learn from the available data.
  4. Code Assignment: Using the codebook, the bot assigns the appropriate medical codes to the patient records based on the diagnosis and treatment information provided. The bot can use natural language processing and machine learning algorithms to match the patient data to the appropriate codes.
  5. Code Validation: The bot validates the assigned codes to ensure they are accurate and comply with relevant coding guidelines and regulations.
  6. Code Submission: Finally, the bot submits the coded patient records to the appropriate stakeholders, such as healthcare providers or insurance companies, for billing and reimbursement purposes.
  7. Reporting and Analysis: The bot generates reports and analyzes the data to identify patterns or trends in the coding process. This information can be used to improve the coding accuracy and streamline the coding process.

Popular Applications

Our services are not limited to these applications. This bot is available for any cloud based application.

CentralReach

CentralReach
CentralReach

Epic

Epic
Epic

Cerner

Cerner
Cerner

ClinicSource

ClinicSource
ClinicSource

eClinicalWorks

eClinicalWorks
eClinicalWorks

Kareo

Kareo
Kareo

Meditech Expanse

Meditech Expanse
Meditech Expanse

MedEZ

MedEZ
MedEZ

QGenda

QGenda
QGenda

NextGen

NextGen
NextGen

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