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medicalcoder 0.7.0

Bug Fixes

• Elixhauser AHRQ 2022 - 2025

  • exclusions for less severer conditions when more severer conditions are flagged
  • Improved POA, NPOA, and EXEMPTPOA. This came about from #20.

• Make internal data.frame tool mdcr_duplicated data.table aware.

• Elixhauser (Quan 2005) - added missing ICD-10 codes to the mappings

New Features

• comorbidities() will return a tibble with 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 (tdl_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 namespaces 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.

Other Changes

• Improve formatting of vignettes/articles.

medicalcoder 0.6.0

• Initial CRAN submission, providing a dependency-free toolkit for ICD-9/10 code lookups
  • lookup_icd_codes(),
  • get_icd_codes(),
  • icd_compact_to_full(), and
  • is_icd().
• Introduces a unified 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).
• Adds support for present-on-admission indicators, longitudinal look-back, age scoring, and PCCC sub-condition flags within comorbidities().
• Bundles curated ICD dictionaries alongside example datasets (mdcr, mdcr_longitudinal) for reproducible testing and demonstrations.
• Includes vignettes and benchmarking summaries that document usage patterns and showcase performance without non-base dependencies.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.