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This collection of prompts represents the definitive tool for the modern endocrinologist seeking to optimize their clinical practice and diagnostic accuracy. Each instruction has been designed under rigorous instructional design standards, allowing artificial intelligence to act as an expert consultant in the complex balance of the endocrine system, advanced diabetes management and the most challenging metabolic pathologies. By integrating these prompts into their workflow, specialists will be able to streamline the interpretation of complex data, personalize treatment plans based on the latest evidence, and improve patient communication. It is a strategic investment to raise the quality of care, guaranteeing ultra-specific responses that cover everything from neuroendocrinology to peripheral glandular dysfunctions with unprecedented depth.
He acts as a Senior Consultant in Endocrinology and Continuous Insulin Infusion (CSII) Technologies. Your mission is to generate a detailed technical configuration proposal for an insulin pump based on the patient's clinical profile described below. The primary objective is to optimize glycemic control through precision in basal rates and bolus parameters, minimizing the risk of severe hypoglycemia and maximizing Time in Range (TIR) according to ISPAD and ADA guidelines. Consider the following clinical variables to perform the calculations and time distribution: [Patient's Age], [Weight in kg], [Previous Total Daily Dose (DTD) in MDI], [Insulin Sensitivity / ISF], [Insulin/Carbohydrate Ratio / ICR] and [Glycemic Target]. The analysis should consider the transition from multiple dose injection (MDI) to pump, applying the standard safety reduction of 10-20% in the initial DTD to avoid adverse events during the technological adaptation phase. Segment the Basal Rate into at least 5 or 6 time blocks to address physiological phenomena such as the 'Dawn Phenomenon' and variability in nocturnal sensitivity. Provides a pathophysiological justification for each proposed adjustment, explaining why the infusion is increased or decreased in each time slot. Make sure the sum of the basal rates represents approximately 40-50% of the new calculated DTD, leaving the remainder for mealtime bolus coverage. Defines the configuration parameters of the bolus calculator (Bolus Wizard/Advisor). This includes setting the Active Insulin Time (AIT) based on the type of ultra-rapid analogue used: [Insulin Type: Aspart/Lispro/Fiasp]. You should also set safety limits, such as the Maximum Bolus and Maximum Basal Rate, to prevent programming errors or accidental over-administration by the user. Finally, it integrates the Continuous Glucose Monitoring (CGM) logic into the recommendation. If the patient uses a hybrid closed loop (HCL) system, adjust the aggressiveness parameters of the algorithm and set the thresholds for the hypoglycemia prediction and low glucose suspension alarms. Generates a summary table with the final programming ready to be reviewed and uploaded to the device [Pump Model: Medtronic 780G/Tandem t:slim X2/Omnipod 5]. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as an Endocrinologist expert in Type 1 Diabetes and Specialist in Advanced Monitoring Technologies (ATTD). Your primary objective is to perform a comprehensive clinical audit of a patient's Insulin Sensitivity Factor (ISF), based on evidence from continuous glucose monitoring (CGM) data and insulin administration records. First, it analyzes the relationship between the hyperglycemia corrections made and the actual glycemic decrease obtained. Evaluates whether the current ISF of [Factor_Sensibilidad_Actual] mg/dL per unit is meeting the goal of bringing the patient to their [Objetivo_Glucemico_mgdl] target range without causing iatrogenic hypoglycemia within 4 hours of dosing. You must consider critical variables such as the Total Daily Dose (DTD) of insulin of [Dosis_Total_Diaria_Insulina] units and the type of analogue used ([Tipo_Insulina_Utilizada]). Processes the [Datos_CGM_Ultimos_14_Dias] attachment data specifically looking for patterns of 'Correction Failure' (when the correction does not reach the target) or 'Over-correction' (when the correction ends in hypoglycemia < 70 mg/dL). Uses clinical validation formulas such as the 'Rule of 1800' or 'Rule of 1500' to contrast with the ISF currently programmed into the patient's infuser or MDI scheme. Generate a detailed technical report that includes: 1) Analysis of post-correction glycemic variability. 2) Identification of time slots where the ISF is ineffective (e.g. dawn phenomenon or evening resistance). 3) Proposal for precise numerical adjustment of the ISF segmented by time blocks if necessary. 4) Pathophysiological justification of the suggested changes based on the events of [Eventos_Hipoglucemia_Post_Correccion]. Finally, it warns about the influence of external factors such as exercise, alcohol consumption or stress reported in [Observaciones_Estilo_Vida] that could be biasing the interpretation of the ISF. It concludes with a security recommendation for the gradual implementation of the new proposed ratios. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Acts as a Senior Consultant in Endocrinology and Precision Diabetes Technologies. Your objective is to design and execute an exhaustive algorithmic analysis for the management of the 'Dawn Phenomenon' (persistent morning hyperglycemia due to circadian hormonal release) in a patient with Type 1 Diabetes. To do this, you must process the data coming from a [Micro Infuser Model/CGM] and evaluate the glycemic trend between 03:00 and 08:00 hours, differentiating this phenomenon unequivocally from 'Somogyi effect' or a simple nocturnal basal insulin deficiency. The analysis should consider critical variables such as insulin sensitivity in the early hours of the day, the impact of the last intake of the previous day, and the current basal rate setting of [Basal insulin type]. Uses the information provided on [Morning I/C Ratio] and [Insulin Sensitivity] to calculate the necessary percentage increase in basal infusion or administration of a preemptive micro-bolus based on the capabilities of Hybrid Closed-Loop systems or manual adjustment of basal profiles in patients on MDI therapy. Generate a dynamic adjustment proposal that includes: 1. Identification of the glycemic inflection point (night nadir). 2. Calculation of the compensatory ascent ramp in units per hour (U/h). 3. Safety verification protocol to avoid iatrogenic hypoglycemia at 04:00 AM. 4. Specific recommendations on the optimal moment of application of the correction according to the pharmacokinetics of the insulin used by the patient. Integrate the analysis of [Previous physical activity level] into your answer to modulate the aggressiveness of the proposed algorithm. Finally, it produces a technical report aimed at a clinical endocrinology team that justifies the intervention based on glycemic variability (CV%) and the time in range (TIR) expected after application of the adjustment. Considers the patient's technological limitations and offers alternatives based on current evidence (ISPAD/ADA guidelines) to optimize metabolic control without compromising the user's safety during sleeping hours. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 5 reviews
Worth every penny. They work just as well in ChatGPT and Claude. I'll buy again without hesitation.
It does the job, though I expected a bit more. They work as a starting point. Works if you customize it.
I didn't expect them to be this complete. They're easy to adapt to my case by just changing the fields. Already recommended them to my team.
Delivers what it promises. The organization helps you get oriented fast. Good option.
I didn't expect them to be this complete. They're easy to adapt to my case by just changing the fields. One hundred percent recommended.