|March 26, 2016|
Diabetes Management Software refers to software tools than run on personal computers and personal digital assistants to help persons with Type 1 and Type 2 diabetes manage the data associated with:
There are many products available to help maintain records and analyze trends related to diabetes care. Some support a single diabetes tool such as one manufacturers glucose meter, while others are intended to interface with many manufacturers products. Some diabetes management software is free to download or can be used on-line, while others are for sale (or shareware). Some are simple and easy to use for a single user, while others have very powerful features that support many users in a clinical setting.
Depending on the product selected, there are a variety of features which include:
Example 1 shows a logbook can combine readings from multiple meters (such as one at home and another at work or school) in one place. Breakfast, lunch, and dinner readings are lined up vertically to help look for trends. The logbook automatically colors the box red for a low blood sugar, and blue for a high blood sugar. In the example chart, a pattern is easy to visualize: mornings tend to be a bit high (more insulin is needed at night) and there is a pattern of lows occurring after dinner (perhaps dinner insulin or the afternoon basal rates could be turned down).
Standard day data plots
The Standard day data plots, see example 2, shows that trends are easy to see. The blood glucose readings are plotted at their level versus the time of day. Multiple days are plotted on top of each other, creating a scatter of points. In the example shown, it is easy to see the glycemic excursions to high blood sugars following breakfast and lunch. Once identified, this can be improved by using a faster acting insulin, or injecting insulin 20 minutes before eating, or by selecting carbohydrates to eat that are slower to peak in the bloodstream.
Example 3 shows that pie charts are a quick way to judge performance of insulin doses throughout the day relative to the goal of keeping 75% of premeal blood glucose readings within boundaries. Sub-charts automatically break down to breakfast, lunch, dinner, and late night, as well as show pre-meal versus post-meal statistics. In the example pie chart shown, it appears there is an opportunity to improve morning lows and afternoon highs with insulin adjustments.
Example 4 evaluates the delivery from an insulin pump, showing blood glucose plots along the top, carbohydrates eaten (bubbles in the middle of the chart), basal and bolus insulin delivered at the bottom. This is a good example of the flexibility in lifestyle afforded to an insulin pump user as carbohydrates are not "scheduled" to match insulin profiles, and yet the glycemic excursions are well controlled. In this chart, it is also easy to see that the pump user had a meal at 3pm but forgot to test blood glucose beforehand.
Basal pattern control
Example 5 shows a control screen for basal delivery from an insulin pump. Time of day and basal rate in units per hour can be modified to create a custom basal rate pattern to match the insulin needs of the pump user. Icons are shown which save or read data from the PC, or to upload and download it from the pump.
Example 6 shows bolus control on this screen. The insulin to carbohydrate ratio is stored in the pump as a function of the meal eaten (time of day). This screen selects grams of carbohydrate as the input parameter from the user, such that the pump can calculate the insulin bolus desired from the grams entered and the insulin to carb ratio that is stored.
Example 7 shows a data plot from a continuous glucose monitoring system (CGMS). This plot shows the blood sugar levels between meals and also during the night, when other BG testing methods using a finger prick sample would typically miss the data available between samples. CGMS data is a new technology that it intended to give immediate feedback between finger sticks and also predict what may be hapenning soon to give the diabetic person a chance to correct a high or low blood sugar condition before it becomes urgent. This curve also illustrates the dawn effect.
GNU Free Documentation License. It uses material from the Wikipedia article "diabetes management software".
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