Diabetes management software на русском

Diabetes management software на русском

OTDMS2.3.2 : Текущая версия русификатора хрюнделя от 9.02.2010.
OTDMS2.3.3 : Текущая версия от соавтора Андрея (Вологда) от 17.12.2012.

Скачать можно по ссылке слева.

Основное отличие версии 2.3.3 от 2.3.2: она уже содержит драйвера для глюкометров.

Весь процесс установки OTDMS:

1. Установить OTDMS 2.3.2 (английский) или 2.3.3.
2. Распаковать архив otdms232_rus.rar или otdms233_rus.rar (какую версию OTDMS установили). Для удобства структура архива совпадает с назначением для копирования файлов.

Копируем содержимое архива в каталог с программой: 3. Извлеченный файл resource.dll следует скопировать в C:/Program Files/LifeScan/OneTouch/Bin (или в каталог Bin с установленной программой, если было установлено в другое место/другой диск).
4. Извлеченный файл onetouch_blank.mdb следует скопировать в C:/Program Files/LifeScan/OneTouch/Data (или в каталог Data с установленной программой, если было установлено в другое место/другой диск).

Если есть кабель для глюкометра и нужен обмен записей с программой:
5. Устанавливаем OTDMS_Meter_Driver_Setup.exe (для версии 2.3.3 не требуется)
6. Устанавливаем драйвера на имеющийся кабель — PL2303 или Ark Pioneer.

Если у вас уже были какие-то записи в программе, то следует самостоятельно русифицировать файл onetouch.mdb по аналогии с onetouch_blank.mdb.

Пароль для файлов базы данных: LFSGenesis

* При запросе на замещение файлов — согласится.

* Если вы не видите файл в распакованном каталоге, то следует войти в меню СервисСвойства папкиВид и убрать галочки с пунктов "Скрывать защищенные системные файлы" и включить "Показывать скрытые файлы и папки".

Принимаются замечания по доработке русификатора (пожалуйста, к сообщению прикладывайте скриншоты, на которых было бы понятно, о чем идет речь).

Diabetes Management Software refers to software tools that run on personal computers and personal digital assistants to help persons with Type 1 and Type 2 diabetes manage the data associated with:

  • blood test results from a glucose meter
  • diabetes logbooks
  • basal and bolus settings for an insulin pump
  • records of actual insulin delivery
  • records of carbohydrates eaten and bolused to cover
  • statistical evaluation
  • manual log entries for exercise and other factors
  • coaching of dose corrections
  • prediction of future blood sugars, etc.

Contents

Features and uses [ edit ]

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, [1] while others are intended to interface with many manufacturers products. [2] 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. [3] The emergence of user-friendly mobile devices has resulted in renewed interest in diabetes mobile applications, and there is a 2011 review article of the currently available features compared against ev >[4]

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Depending on the product selected, there are a variety of features [5] which include:

  • summary tables or diabetes logbook data that can be:
  • imported from multiple sources,
  • viewed on the screen,
  • saved and archived for personal use,
  • printed, faxed, emailed or shared online with your diabetes care team.
  • charts to analyze:
    • visualization of repeating patterns,
    • blood glucose trends for evaluation of
      • compliance with goals, and
      • cons >Examples [ edit ]
      • Logbook [ edit ]

        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 [ edit ]

        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.

        Pie charts [ edit ]

        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.

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        Daily views [ edit ]

        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 [ edit ]

        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.

        Bolus control [ edit ]

        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.

        CGMS [ edit ]

        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 (by extrapolation) what may be happening 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.

        Prediction [ edit ]

        Example 8 shows a data plot from a continuous glucose prediction system (CGPS). 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. CGPS is a new technology that it intended to give immediate feedback between finger sticks and also predict what may be happening soon to give the person with diabetes a chance to correct a high or low blood sugar condition before it becomes urgent.

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