PREDICT™ enables the delivery of evidence-based information to support clinical decision making at point of care, via the customers' pre-existing Electronic Medical Record system, and facilitates the collection of patient-specific risk and outcomes data to assist with outcomes research.
The application stores guideline information within a database that has been structured so that patient-specific risk assessment and clinical management recommendations can be returned in response to inputs of defined and relevant disease-specific variables.
The outputs from PREDICT™ are stored in a separate database for assessment of outcomes. This process requires linkages to data from other sources, e.g. National Datasets, hospital records etc, using a unique identifier.
The PREDICT™ platform comprises a number of integrated components which together provide the enterprise-level capability sought by customers:
- Tools for knowledge management; scenario creation and content updating
- Tools for knowledge delivery; the powerful PREDICT engine
- Tools for quality assurance; knowledge integrity
- The system is highly adaptable and can be applied in any situation that can benefit from decision-support.
PREDICT™ provides tools for the management, coordination and delivery of a number of streams of information critical to an effective care planning process:
- Clinical management recommendations (practitioner focused best-practice management advice)
- Clinical management tasks and actions
- Patient information
By complementing and integrating with existing systems and co-ordinating varied knowledge sources, e.g. guidelines, tasks, patient information etc into a single system that delivers patient-specific advice at the point of care, PREDICT™ has been designed to make patient management efficient and sustainable.
The technology has already received a New Zealand process patent (PCT/NZ01/00016, 6th February 2001) with patents pending in other key markets including the US.
