Vicomtech has developed an eHealth Software Development Toolkit (eHST), under which different clinical and wellbeing protocols and guidelines can be rapidly prototyped and triggered through a rule engine to provide timely and latest evidence-based recommendations in a personalized way.

Aiming at facilitating the step of formalizing any kind of guidelines from paper-based documents to computer interpretable rules, Vicomtech provide a user-friendly interface through which the knowledge will be introduced and transferred to a rule engine to have it ready for any evaluable user.

Not only that, Vicomtech’s authoring tool of rules also allows the modification, update, and validation of the formalized knowledge to maintain it aligned with the latest evidence or sought wellbeing objectives.

It leans on a domain ontology, which is defined once for each analysed domain, using standardized terminologies such as SNOMED CT or LOINC, to make the system as standardized and reusable as possible, and easing the understandability and communication with the incoming data, the formalized knowledge, and the provided recommendations.

For more information click here to view a video on Youtube.

In the image one screenshot of the user interface of the CWDSS clinical and Wellbeing Decision Support System is shown. In particular, the screenshot shows the rules validation tool. This tool compares a number of rules and specifies which of them have changed. In the screenshot example, the differences in the SHAPES Rule2 are shown.
In the image one screenshot of the user interface of the CWDSS clinical and Wellbeing Decision Support System is shown. In particular, the screenshot shows different example recommendations provided by the system. One recommendation example says ”You are performing good muscle-strengthening physical activity! Keep on working!”
In the image one screenshot of the user interface of the CWDSS clinical and Wellbeing Decision Support System is shown. In particular, the screenshot shows the authoring tool provided by the system to create new rules. The authoring tool allows adding different conditions (for example is equal to, is lower than, etc.) to the elements of the data model corresponding to each use case (for example gender, allergies, age, weight, etc.) for the creation of new rules with them.