ICPC-2 PLUS - structure and functionality


ICPC-2 PLUS is based on the same structure as ICPC-2. See the ICPC-2 section to find out more.

There are 3 main constructs within the structure of ICPC-2 PLUS:

  1. The term: This is the written description of the concept you are trying to capture. Examples of what domains the terms may include are: a disease label (e.g. hypertension), a symptom (e.g. cough) or a procedure (e.g. dressing).
  2. The code: This is a six digit alpha-numeric code linked to the term. For information about the structure of the code please see the diagram below.
  3. Keywords: These are used as the links to access the term. Keywords may be terms, synonyms, acronyms etc and are linked to ICPC-2 PLUS terms to facilitate data entry. Multiple keywords can be linked to a single term.

ICPC-2 PLUS codes are 6 digits long, and can be broken down into two parts, the ICPC-2 code, and the "plus" code. For example, A86001:

ICPC 2 Plus code example


ICPC-2 PLUS is designed for use during patient encounters. The system aims to provide user friendly, timely access to terms. The key words facilitate access to a pick list of related terms that is flexible (i.e. the terminology allows for multiple term approaches) and accurate (i.e. only appropriate terms are displayed in the pick list).

Entering data

ICPC-2 PLUS uses keywords (words, word fragments or abbreviations) that describe the concept you are interested in. In suitable software, entry of a keyword automatically produces a pick list of logically related terms. When you identify and select the term you want to save, the ICPC-2 PLUS term and its associated code are automatically transferred into the record.

When using ICPC-2 PLUS, you never have to manually type in codes. The user selects terms that are linked to keywords, and the coding process happens in the back-end of the record.

Extracting data

To complete the automated "data in - data out" cycle of the terminology, a number of standardised data extraction code sets have been developed.

Meaningful data extraction is achieved through the use of "data output groupers". A data output grouper links (or classifies) similar concepts that hold some clinical significance for the user. Data output groupers allow data to be extracted at a number of different hierarchical or cross-sectional levels within the ICPC-2 classification and/or the ICPC-2 PLUS terminology such as:

  • ICPC-2 Chapter groupers e.g. all respiratory problems;
  • ICPC-2 Component groupers e.g. all symptoms and complaints;

    Broad medical constructs e.g. STIs.

The data output functionality of ICPC-2 PLUS allows clinicians to analyse their data at multiple levels:

  • Analyse their data at ICPC-2 rubric level (e.g. all patients with Type 2 diabetes);
  • Analyse their data in more complex terms with multiple ICPC-2 rubrics and/or ICPC-2 PLUS terms (e.g. all patients with any type of diabetes);
  • Analyse in the ICPC-2 chapter-component mode to identify broader medical constructs or patient groups (e.g. all patients treated for respiratory symptoms over the past month, all patients managed for a neoplasm of the skin in the past year).

This application is available to all licensed users at no additional charge.