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Suggests encouraging patients to use appropriately adjusted embedded bolus calculators in CSII and to provide education regarding their use and limitations. Triggers include: 'Patient starting pump, discuss bolus calculator', 'Review bolus calculator education at pump initiation'.
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This skill guides clinicians to assess bolus calculator settings when reviewing pump settings or verifying carb ratio and sensitivity factor during clinic visits. It evaluates insulin-to-carbohydrate ratio, insulin sensitivity factor, glucose targets, and active insulin time for embedded bolus calculators in CSII.
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Assesses a patient’s ability to operate an insulin pump and make setting changes, evaluating dexterity, vision, mental health, and cognition for independent or assisted use. Triggered by phrases such as 'Check patient can manipulate pump controls' and 'Evaluate dexterity and vision for pump use'.
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Turns untargeted LC-MS/MS features (m/z, RT, MS/MS) into confidence-stratified metabolite annotations using spectral-library matching (matchms), in-silico tools (SIRIUS/CSI:FingerID, MetFrag) and molecular networking, and assigns a defensible MSI/Schymanski confidence level to each. Use when naming detected features, scoring MS/MS against a reference library, running SIRIUS, or deciding what confidence level an evidence set actually supports. For upstream feature extraction see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for downstream enrichment that must respect these levels see metabolomics/pathway-mapping; for lipid-specific structural annotation see metabolomics/lipidomics.
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Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.
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Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.
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