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Category Archives: Clinical SAS

Clinical SAS: Using Technology to Improve Diagnostic Coding

As the world moves forward to adorn advanced technology, communication is becoming simpler. The trends have cast their spell even in the medical field and today, it has become possible for coders to use free form text in medical data management to assist healthcare professionals make proper, quick decisions. Though this blog, we will try to elaborate on how hospitals could automate diagnostic coding for increased efficiency, and reduce errors, while also enhancing quality and patient safety.

In the field of health care, professional coders utilise diagnosis codes as tools to identify and group diseases, symptoms, poisonings, disorders, side effects of drugs, patient history, etc for patient encounters. Clinical SAS is standardized diagnostic coding that translates written descriptions of illnesses, diseases, and injuries into clinical codes to facilitate particular classification. Diagnostic codes are approved clinical standards that are used internationally, and Clinical SAS and ICD are among the two most widely used systems for diagnostic coding.

A lot of coding registration is required in the health care sector, and along with this, the demands for documentation and registration are also increasing. In case the documentation and registration are not done automatically, programmers have to invest a lot of time and effort doing it. Therefore, the medical and healthcare sector is moving towards technology for better, error-free diagnostic coding.

You are advised to go for Clinical SAS Patient Safety if your aim is to achieve –

  1. Accurate registration of diagnoses and bi-diagnoses.
  2. Better quality of data to report to other databases.
  3. Greater clinical quality through error-free code registration.
  4. Higher patient safety.
  5. Automated audits.
  6. Dependable information to the users.
  7. To be able to learn registering high-quality data.

Automated Diagnostic Coding

Automated diagnostic coding is your key to efficient, error-free clinical data management. Here are a few things to remember when automating diagnostic code –

  1. Medical record of a patient is key

Majority medical processes and results rely on electronic medical record. There are a lot of resources required for the validation of medical information and coding, and it also leads to errors. With automated diagnostic coding, validation and coding becomes easier as patients’ medical records are registered with diagnosis codes. This saves time, resources and it is error-free too.

  1. Applies on different databases

Medical codes and clinical codes are complex and are usually stored in different formats across databases. Clinical SAS solutions build on robust text analytics that are applicable to almost all databases. Through this method, you can be assured that the coding and reporting are represented in a clinically correct registration.

  1. A time saver

Clinical SAS solutions are a time saver. The most significant advantage of the solutions can be experienced when collecting and viewing the results as it works automatically. By implementing the solution, clinicians can identify suggestions for correcting diagnostic codes in the system. The implementation of the system also means that resources for manual audits become more efficient and promote higher level of data quality.

Clinical SAS can be complicated and professional training is required for becoming a professional in the field.  With its institutions in its branches across Hyderabad and Warangal, Joshi Medicode offers excellent Medical Coding and Billing and Coding training including Clinical SAS training and ICD-10 training.

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