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Improve.IT Contact
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:. Site . Improve.IT . Overview .: Introduction Using combined Health, Education, Human Resource & IT experience of over 50 years, this company has developed a product designed to address the ever-increasing demand for evidence in continuous improvement. Our flagship product, "Improve.IT", is named after the company. It is a user-friendly database that manages information and evaluation proactively. This system has demonstrated significant reductions in time and resources dedicated to quality and accreditation. It also possesses the ability to record risks associated with organisational activities. Improve.IT assists organisations to track where improvements are coming from and how they are progressing. Whatever quality cycle an organisation subscribes to, or whatever external or internal review process is involved, Improve.IT can be tailored to link with any standards. Features The main features of Improve.IT® are as follows:
This makes Improve.IT® your one stop, user-friendly, evidence-based improvement management tool. Improve.IT® can ensure that you never lose track of improvements and helps to convert your quality department into an improvement support unit through the active management of information. Improve.IT® enables you to enter improvement information once only and then transfer that information to electronic internal or external assessment document. There will be an immediate reduction in duplication of effort. Improve.IT® uses IDEAS© providing organisations with reports by:
Benefits of Improve.IT® With Improve.IT®, you can:
Improve.IT® Data Entry and Reporting Features The Improve.IT® system has an intuitive and easy to use menu system and screens for adding, editing or viewing information. All data entry screens have straightforward search facilities to allow you to locate specific data. The information can be printed using built-in reports or alternatively, exported to other software applications eg word-processing or spreadsheets. Many reports include easy selection screens for choosing specific data. |
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