Compute CCI and Elixhauser scores from ICD-9/10 hospital admission data.
npx skills add https://github.com/hannesill/m4 --skill comorbidity-score
Please help me install this Agent Skill. Skill: comorbidity-score Source: https://github.com/hannesill/m4/tree/main/src/m4/skills/clinical/comorbidity-score Command: npx skills add https://github.com/hannesill/m4 --skill comorbidity-score
Calculates Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index for hospital admissions to enable risk adjustment, cohort characterization, and mortality analyses.
Compute Charlson and Elixhauser scores for admissions in your dataset using Quan 2005 ICD mappings.
High-intent search queries and answers about installing and using this skill.
Calculate Charlson Comorbidity Index and Elixhauser scores by applying Quan 2005 ICD-9-CM and ICD-10-CM mappings to hospital admission data. Outputs include total CCI, age components, and 31 Elixhauser flags with van Walraven weights for risk adjustment.
CCI and Elixhauser comorbidity indices differ in scope: CCI produces a weighted total score with 17 condition flags and an age component, while Elixhauser generates 31 binary condition flags with van Walraven weights for broader cohort characterization.
Map ICD-9 to ICD-10 codes for comorbidity risk adjustment using Quan 2005 mapping rules. This skill applies ICD-9-CM and ICD-10-CM mappings across datasets and time windows to compute CCI and Elixhauser scores consistently.
Yes, apply Elixhauser and Charlson scores across different datasets and time windows. The skill computes both indices using ICD-9-CM and ICD-10-CM codes, supporting cross-dataset comorbidity profiling and longitudinal risk adjustment.
Outputs from computing Elixhauser comorbidity scores include 31 binary condition flags with van Walraven weights, while CCI outputs include the total Charlson score, age score, and 17 condition flags for mortality prediction and cohort characterization.
Yes, this comorbidity scoring tool supports both ICD-9-CM and ICD-10-CM code inputs. It applies Quan 2005 mappings to calculate Charlson and Elixhauser scores, enabling risk adjustment across datasets that use different ICD coding standards.
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