medicalcoder <= 0.7.0 was under GPL-2 for no other reason that that was the default in the template DESCRIPTION file. With this release we have transitioned from GPL-2 to BSD-3-Clause to reduce almost all barriers to use of the package in other environments.
If a tibble is passed to
comorbidities() and the dplyr namespace is
available, then dplyr methods will be used for data
manipulation. This change will generally result in less computation time
than base R data.frames (data.tables require
even less time).
Add the elixhauser_ahrq2026 method for
comorbidities() (#32)
summary.medicalcoder_comorbidites() no longer
crashes when a zero row input is passed in. Consistently return
NA instead of NaN when counts are zeros. (#26,
#27)
Improve the conditional and multiple comorbidities mapped by a code under AHRQ ICD-10 codes for fiscal years 2023 through 2026. The bug was found and fixed as part of the extension #32.
Add ICD-9-PCS 35.7 to the PCCC codes. (#38) The v2 docs have 37.52, 37.53, 37.54, 37.55 as cvd (device) and 37.5, 37.51 as cvd (transplant). v3 docs have 3751 as cvd (transplant), all other four digit codes under 37.5 as cvd (device). One issue here is that 37.5 was an assignable code from CDC through 2003 and then was a header with the same four digit codes as CMS through 2012. CMS continued to use the four digit codes through 2015.
Improve Elixhauser (Quan 2005) ICD-10 codes
Add checks for data structures (#41)
Handle zero length patterns in regex (#42)
Extend and improve the internal ICD-9 database to distinguish between CDC and CMS source.
Fix documentation of the mdcr and
mdcr_longitudinal datasets.
Clarified internal data.frame/data.table helpers: documented that
mdcr_select() deep-copies data.table subsets to avoid
aliasing, noted the selfref fix in mdcr_set(), and added
inline guidance in the longitudinal section of
comorbidities() to explain the first-occurrence
logic.
Improve cumulative flagging to apply first-occurrence logic more efficiently.
Extend documentation for the expected default behavior between
the present-on-admission flags and flag.method argument in
comorbidities() (re: #28)
Add mdcr_unique() to the data.frame utilities. This
reduced the computational time required to apply
comorbidities() to tibbles and
data.tables. (#31)
Elixhauser AHRQ 2022 - 2025
Make internal data.frame tool mdcr_duplicated()
data.table aware.
Elixhauser (Quan 2005) - added missing ICD-10 codes to the mappings
comorbidities() will return a tibble
when the input data is a tbl_df (#9). Assuming the
data.table and/or tibble namespaces are
available, then the initial release (v0.6.0) would return a
data.table if a data.table was passed to a
comorbidities() due to the S3 method dispatches. If a
tibble (tbl_df) or a data.frame
was passed to comorbidities() then the return would be a
data.frame. In this release we have added logic to
determine if the input is a tibble and if the
tibble namespace is available, then the return from
comorbidities() will be a tibble (or list of
tibbles when subconditions = TRUE).
The tests were extended to consider the cases of passing in a
data.table or tibble to comorbidities when the
associated namespaces are not available.
Added elixhauser_ahrq_icd10 to use all the ICD codes
ever defined from 2022 to 2025. This will capture any future years as
well.
lookup_icd_codes(),get_icd_codes(),icd_compact_to_full(), andis_icd().comorbidities() interface covering
Charlson (Deyo, Quan 2005/2011, Glasheen), Elixhauser (original, Quan
2005, AHRQ 2017-2025), and Pediatric Complex Chronic Conditions
(v2.0/2.1/3.0/3.1).comorbidities().mdcr, mdcr_longitudinal) for reproducible
testing and demonstrations.