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https://vimeo.com/438010063/bb99ac3196

Role: Medical Coder

Provided data fields have been configured for medical coding via MedDRA and WHO Drug dictionaries, data collected against those fields becomes eligible for coding in the Medical Coding > Data module. Here, ClinSpark provides an opportunity to auto-code terms by looking for a best match in the respective dictionary or the opportunity to manually code each term by browsing the dictionary tree. If collected data is updated after initial coding has occurred, the user is prompted to re-code the updated term.

Algorithm Details

ClinSpark has a built-in feature designed to streamline “Medical Term” coding. This feature allow an employee to find a matching term in the corresponding Medical Dictionary automatically. In some dictionaries medical terms can be located in different layers (example would be different ATC levels) and in different paths (example would be different drug names designations, i.e. trade name vs generic name). This article explain how auto-coding works and the algorithm behind confidence level calculations.

MedDRA

For this dictionary we only search against LLT, but we perform search in three different ways relaxing search contains more and more and thus lowering confidence level.

Confidence

Search Target

Search Match

Example

50%

LLT

Partial Match on first part of the term

Influenza B → Influenza

75%

LLT

Partial Match on entire term

Influen → Influenza

100%

LLT

Full Match on entire term

Influenza → Influenza

LLT* = Lowest Level Term

Example with full match:

Example with partial match:

WHO Drug

For this dictionary we do not calculate confidence level, and instead we allow an employee to select best option from the drop down list of matching items. We use the following sequence of searches to build a list of matching items:

Priority

Search Target

Search Match

Example

1

Any Drug Name (Generics and Non Generics)

Full Match

Remicade → Remicade

2

Any Drug Name (Generics and Non Generics)

Partial Match

Remi → Remicade, Infliximab

Example with full match in Generic and Trade names:

Example of multiple matches of the same drug bound to a different placers with in ATC ontology:

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