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Bolus insulin dose decision support
01
Overview
Bolus insulin dose decision support refers to technological systems, often implemented as mobile applications or features within insulin pumps, that use algorithms to recommend the appropriate mealtime (bolus) insulin dose for people with diabetes. These systems generally accept inputs such as current blood glucose, planned carbohydrate intake, insulin sensitivity factor, insulin-to-carbohydrate ratio, and insulin on board, and output a suggested dose based on standardized formulae or machine learning models. Some modern systems incorporate advanced features, such as trend analysis from continuous glucose monitors (CGM) and adjustment for physical activity or meal composition[1][2][3][4]. These tools are widely used in diabetes self-management but do not constitute biological drug targets and should not be classified alongside receptors, enzymes, or transporters.
- Other names
- Bolus calculatorBolus guideInsulin bolus calculatorBolus dose decision support system
02
Safety considerations
Risk of inaccurate recommendations leading to hypoglycemia or hyperglycemia if patient inputs are wrong or algorithms miscalculateReliance on patient education and correct use; user misunderstanding or misuse can compromise safetyPotential for undermining patient autonomy or relying on non-individualized calculations
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