Key result
A prototype automated insulin dosage advisor (AIDA 2) was developed to simulate patient response and provide therapeutic advice, illustrated by a single clinical case study.
The AIDA 2 prototype provides a computerized decision support system for adjusting insulin dosage in type 1 diabetes based on a clinical model of glucose-insulin interaction.
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Prototype decision support may aid insulin dosing in type 1 diabetes consultations; leaves open efficacy and safety in prospective trials.
A prototype computer system has been developed to provide advice on the day-to-day adjustment of insulin dosage in the insulin-dependent (type 1) diabetic patient. The system also allows the patient's daily steady-state blood glucose profile to be generated based on these adjustments using a clinical model of glucose-insulin interaction. The prototype is intended to be used as a decision support system by clinical personnel. It is designed for use during consultations, as a simulator of patient response following changes in the insulin and/or dietary regimen, and as a system to provide education on planning insulin therapy. Advice is generated by a qualitative therapeutic advisor which suggests what the next step in improving glycaemic control might be for a given patient. The clinical model attempts to reflect the underlying (patho)physiology of insulin action and carbohydrate absorption in quantitative terms. It consists of a one-compartment glucose model linked to a model with plasma and 'active' insulin compartments. An overview of the integrated prototype is provided along with a detailed description of the new time-point-orientated logical reasoning methodology adopted by the therapeutic advisor. The operation of the system is illustrated by a clinical case study from a 70 kg, male, insulin-dependent diabetic patient.
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Lehmann et al. (1993) studied Insulin-dependent (type 1) diabetes (n=1). AIDA 2 (automated insulin dosage advisor) was evaluated. A prototype automated insulin dosage advisor (AIDA 2) was developed to simulate patient response and provide therapeutic advice, illustrated by a single clinical case study.
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