Examples
The examples below highlight the diverse and often changing activities that Treonic can do within a single centralised framework —.
Aim: Clinical program evaluation and patient management
In a chronic pain department Treonic and its Personalised Assessment Tool (PAT©) are being used to continuously evaluate the department’s pain program, and communicate with patients and clinicians. With little to no training, Treonic is used from the time of the first information session for patients, during the delivery of the education program, and in the ongoing patient assessments. Treonic generates individualised outcome information on patients for referral and G.P. management letters. Patients can login in and record their information from anywhere the Internet can be accessed. The data collected are used to by the clinical team to evaluate and improve the care program.
Aim: Disease screening and applying evidence-based guidelines
Treonic was parameterised via its user interface to support a polyp screening program, with the view to using it for individual patient management, and the conduct of quality assurance and research. As part of this process, evidence-based reviews and recommendations have been integrated into Treonic to support clinical decision making.
Aim: Improving clinical practice using scientific investigation
Treonic is being used to support the conduct of a multicentre randomized control trial on the relative benefits of different approaches to continuous mechanical respiratory ventilation (CPAP) among pre-term infants. Requiring formal trial conditions, Treonic’s flexible security design caters for the full range of user types required, including data entry personnel, organisationally-based study coordinators, and monitors that need access to all sites but must work with de-identified information.
Treonic’s unique randomization engine is integrated as part of the normal protocol selection in the Treonic system, so patients are simply randomized as Treonic is being used, with no added tasks required. The randomization engine dynamically balances within permuted block sizes determined by the research team with full flexibility around minimization, site balancing and other specialized requirements — no programming is required, no call centres or addition systems needed.
