Diabetes affects about 200,000 people in New Zealand but only half of these people have been diagnosed.The prevalence of diabetes across the population of New Zealand is currently estimated at 4 percent. Within the New Zealand population, the prevalence of diabetes in Maori and Pacific polulations is around three times higher than among other New Zealanders.
Primary prevention programmes aimed at reducing the risk factors for type 2 diabetes could have major benefits in reducing the future burden of this condition on health systems and populations. Once diabetes has been diagnosed, effective management – including treatment, education and support – is required to maintain health and prevent the development of diabetes-related complications.
Enigma's PREDICT is a disease management platform designed and developed by Enigma that is capable of providing evidence-based electronic clinical decision support (eCDS) for a variety of clinical conditions.
PREDICT has been developed from the "bottom up" by a clinically experienced team to assist health care professionals provide quality health care to defined populations of patients.
Key features of the system are that it manages local guideline content, structures the information to deliver patient-specific clinical management recommendations and is able to be integrated into third party information systems.
The CVD/Diabetes module has been developed in partnership with the University of Auckland and is based on current guidelines published by the New Zealand Guidelines Group. PREDICT enables a clinician or healthcare professional to receive electronic clinical decision support 'at the point of care' while treating a patient.
PREDICT can be used remotely via web access or can be easily integrated with patient or practice management systems.
Predict Benefits
- Relevant evidence-based guidelines are applied at the point of care.
- Benefits and progress can be measured and monitored.
- Complience with guidelines/programmes can be managed.
- Tasks can be shared across a practice team.
- Patients are engaged in their own management.
- Data are gathered in a structured and consistent manner.
- Patient risk can be profiled by snapshot and longitudinally.
- Funding and performance can be prioritised according to the burden of disease and evalution of outcomes.
The most advanced, web-based electronic clinical assessment, management and decision support system for cardiovascular disease (CVD) and Type 2 Diabetes on the desktop.
PREDICT™ CVD-Diabetes Suite extra features:Nurse Follow-up Tool, Acute PREDICT™ and PREDICT™ Depression. PREDICT Modules
PREDICT™ VALUE
- Reduction in unnecessary costs by enabling correct decision-making up front.
- Improved patient outcomes through direct patient-focused care.
- More accurate and faster assessments saving valuable clinician time.
- Enhanced teamwork and improved clinical workflow.
- Improved reporting and analysis performance for collection data
- Targeted, more appropriate allocation of healthcare resources across a population.
