Review of the CoPilot® Health Management System - Page 3

Food Log

The real shortcoming I feel in this software is the ease of entering any data manually into the software. Pulling up the correct data entry form is easy, but entering meals gave me a headache.

First; there is no food database. All food items must be added in and that takes some patience. First you click on the add food bar and enter the name of the food. Then you have to enter the servings or carbs. If you press tab, which is intuitive or mouse click in the desired field, the food is added to the list, and focus is placed on the serving's box of a new food item, not the food item you just typed in. If you do not see that, you enter the servings or carbs in the wrong line. We ended up with several lines each with part of the information we were adding to one food item. If you clear the food name and save or apply, the line is removed thus no erroneous data is saved but this bug is annoying.

Medical Records

Once you have been entering food items for a while, you discover that your list is rather long. As you type, the list will seek items based on characters and is not case sensitive, except that the list sorts food in a Numeric > Upper Case > Lower Case order. This places apple after Zucchini. 
Much of these errors can be corrected if you go to Customize Food List. There you can change the case of letters and hide foods from showing up in the drop down menus. You also are provided another field to add a serving size. The serving size is added to the foods description in parenthesis when you go to add a food later. Why this additional field could not be included when you originally create the food is curious.

Entering data into the other data types such as Weight, Medications etc.. are OK, but not elegant. They allow for in-depth record keeping of insulin's, medications, doctor visits, lab results and notes. I would like to see increased use of drop down boxes for things such as dosage units of measurement for known medications and doctors previously entered visited. I was able to select Glucophage as a medication from a drop down menu of meds and then enter 5000 as the dose with one pill. That drug is not available in more than a 1000mg size. Unless you add the mg there is no actual unit of measurement available or any input validation that such an error was made. I think applications intended for patents to use at home and convey information to their Health Care Provider should have more safe guards against bad data entry.

The CoPilot® Health Management System version 4.2 can upload data from:
  • FreeStyle Lite® Blood Glucose Monitoring System
  • FreeStyle Freedom Lite® Blood Glucose Monitoring System
  • FreeStyle Flash® Blood Glucose Monitoring System
  • FreeStyle Freedom® Blood Glucose Monitoring System
  • Precision Xtra® Blood Glucose & Ketone Monitoring System
  • Optium and OptiumEZ Blood Glucose Monitoring System
  • CozMore® Insulin Technology System (via CoZmanager® import)
CoPilot® System Requirements

Microsoft® Windows® 7 (32 bit and 64 bit), Windows® XP (32 bit), Windows® Vista (32 and 64 bit).
The CoPilot System does not run on Apple computers.
Monitor with 1024x768 or higher resolution.
RS-232 Serial port, or USB port Data cable, required for uploading data from compatible meters. Additional information is available for data cables.

According to a new study published in the British Medical Journal, regularly eating white rice significantly increases the risk of Type 2 diabetes.

The authors from the Harvard School of Public Health looked for evidence of the association between eating white rice and Type 2 diabetes in previous studies and research. The new study focuses on finding a direct link between the risk and the amount of rice eaten. This study also seeks to determine if the risk of Type 2 diabetes is greater in Asian countries, whose diet consists of more white rice than westerners.

Boston, MA—In a new study, researchers from the Harvard School of Public Health (HSPH) have found that eating processed meat, such as bacon, sausage or processed deli meats, was associated with a 42% higher risk of heart disease and a 19% higher risk of type 2 diabetes. In contrast, the researchers did not find any higher risk of heart disease or diabetes among individuals eating unprocessed red meat, such as from beef, pork, or lamb. This work is the first systematic review and meta-analysis of the worldwide evidence for how eating unprocessed red meat and processed meat relates to risk of cardiovascular diseases and diabetes.