hip_ae_hailer

Classcodes for infection and dislocation after hip arthroplasty

datasets

Fast categorization of items based on external code data identified by
regular expressions. A typical use case considers patient with medically coded
data, such as codes from the International Classification of Diseases ('ICD') or
the Anatomic Therapeutic Chemical ('ATC') classification system.
Functions of the package relies on a triad of objects: (1) case data with unit
id:s and possible dates of interest; (2) external code data for corresponding
units in (1) and with optional dates of interest and; (3) a classification
scheme ('classcodes' object) with regular expressions to identify and
categorize relevant codes from (2).
It is easy to introduce new classification schemes ('classcodes' objects) or
to use default schemes included in the package. Use cases includes patient
categorization based on 'comorbidity indices' such as 'Charlson', 'Elixhauser',
'RxRisk V', or the 'comorbidity-polypharmacy' score (CPS), as well as adverse
events after hip and knee replacement surgery.

Erik Bulow

coder

Deterministic Categorization of Items Based on External Code
Data

Emely C Zabore

David Robinson

hip_ae_hailer function

Data frame with 3 columns:<dl>
<dt>group</dt>
<dd>Infection or dislocation</dd><dt>icd10</dt>
<dd>regular expressions based on ICD-10</dd><dt>kva</dt>
<dd>regular expressions based on NOMESCO/KVA codes</dd>
</dl>

Format

Classcodes for infection and dislocation after hip arthroplasty — hip_ae_hailer

Data frame with 3 columns:<dl>
<dt>group</dt>
<dd>Infection or dislocation</dd>

<dt>icd10</dt>
<dd>regular expressions based on ICD-10</dd>

<dt>kva</dt>
<dd>regular expressions based on NOMESCO/KVA codes</dd>


</dl>

hip_ae_hailer: Classcodes for infection and dislocation after hip arthroplasty

Description

Usage

Arguments

Format

See Also