Patients Database for HanDBase - This provides you the ward/out patient`s data including operation date,method,POD,and more.
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Requirements:HanDBase v.2.7x or greater
Supported operating systems:
Palm OS 3.x, Palm OS 4.x, Palm OS 5.x, Pocket PC 2002, RIM BlackBerry OS 4.2, RIM BlackBerry OS 4.3, RIM BlackBerry OS 4.5, RIM BlackBerry OS 4.6, RIM BlackBerry OS 4.7, RIM BlackBerry OS 5.0, RIM BlackBerry OS 6.0, S60 1st Edition, S60 2nd Edition, S60 3rd Edition, S60 3rd Edition FP1, S60 3rd Edition FP2, S60 5th Edition, Windows Mobile 2003, Windows Mobile 2003 Smartphone, Windows Mobile 5.0, Windows Mobile 5.0 Smartphone, Windows Mobile 6 Classic, Windows Mobile 6 Professional, Windows Mobile 6 Standard, Windows Mobile 6.1 Classic, Windows Mobile 6.1 Professional, Windows Mobile 6.1 Standard, Windows Mobile 6.5 Professional, Windows Mobile 6.5 Standard
USDA NetCarbs for HanDBase USDA NetCarbs for HanDBase - Some basic food choices for use on the Atkins diet. Data comes from either the USDA nutrient database, various restaurants own websites, or original product packaging. Use with Daily NetCarbs to track daily carb intake
Cooking With Points for HanDBase Cooking With Points for HanDBase - Cooking With Points: Consist of three database files. The WW Food Selections used in the Weight Loss and Weight Watchers Points Database Files
Patient Log for HanDBase Patient Log for HanDBase - This is a simple log that I must use in school to report what I see each day in clinicals. It is simply a tracker of complaints, age, assesment, if tests were preformed, procedures, and if I observed or preformed them. Again it is simple just to track my exposure. May be helpful for other students to track their exposure
Maintenance Minder for HanDBase Maintenance Minder records automobile or equipment services and indicates when the next service is due
Trapster Trapster – When you see a trap, report it by pressing a button on your phone, or calling a toll free number. Other user's phones will alert them as they approach the trap. Trapster learns the credibility of traps based on how many users agree. It also learns the credibility of each user, over time
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