Clinical Diagnostic & Research Tool (CDRT) | Software Design & Development Project

Clinical consultation, notes and observations are the lynch pin of recording patient interaction. The conversion of this information into meaningful diagnostics is time consuming and often restricted in scope to reference materials that only the individual clinician knows about. 

A clinician is able to record their consultation and then have those notes used to search reference material included in a trusted, high value collection defined by a peer group. This will accelerate the diagnostic process by providing the clinician with a larger, more appropriate set of research while in process instead of having to dedicate extensive time to the discovery of content. 

CDRT is designed to provide a robust Research Methodology using aggregated, high quality, peer identified information sources. Taking the provided observational data, the Clinician is assisted in the process of diagnosis through the use of deductive formulation.

These formulations can then be used to search the aggregated information sources. This process is enhanced by way of an ontological model which builds an environmental understanding of Clinician activity through observation of frequency, proximity and preference. 

Clinicians are also able to engage in collaboration with peers through sharing of consultations and formulations, with Clinician details (profile details, formulation details) being included within search returns when similarities exist in diagnosis. 

CDRT will allow for the content of Consultations to be formatted, combined and then ‘released’ for peer review and potential inclusion into the trusted information sources referred to by the application. 

Closely following the consultation process for Clinicians, the structure for data collection and reference retrieval is simplified to promote rapid adoption. The Clinician collects observations by using photographs, handwritten notes and textual (keyboard input) entries. Only the textual entries are used in this first iteration of the application. 

Formulations are used to group sets of observations so as to highlight commonalities, declare experiential diagnosis and enable deductive research mechanics. The terms which are collected are used to compare against the indexed terms (ontology) from the prescribed data stores and then relevant references are returned for use. 

Our design approach is simple. Talk, draw and plan is the best way to put yourself in the shoes of an user. Loft wanted to create effective experience which are visually apparent, although still giving our users a sense of control. In CDRT, Loft iterated through a bundle of design task flows to create the simplest process for our users to pace through CDRT successfully to reach their outcomes.

 

About Loft Group

Loft Group is a proudly Australian company, founded in 2007. Loft specialises in identifying customer delight, building innovative and inventive solutions and leveraging solid design process to deliver quality outcomes.  Our primary focus is about improving communities by improving communications, connectivity and visibility of information.  In doing so, we support research methodologies, professional engagement and human connections to strengthen the context within which these communities operate.

Our process builds a firm understanding of both requirement and expectation, using our expertise to enhance and improve within our target industries and improve and support client domain knowledge and activity. We use a proven technology stack that ensures Loft will be the first mover within any sector, driving the application product road map to achieve rapid development and deployment, global scale and the ability for modular diversification across broader main stream market opportunities.Visit our website…www.loftgroup.com.au

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