Introduction:

Assessment of food consumption is an important indicator of a person’s nutritional status; however, it is not a simple process and can involve an unacceptable level of error. The application of new technologies in this process can lead to improvements and the minimization of error.

Objective:

To develop a computer program in the web, for nutritionists that allows the input of food consumption data using a 24- hour recall or a recall of food consumption during the 7 previous days, the analysis of energy and nutrient intake and its comparison with recommended intakes with the aim of minimizing the error involved in the collection and analysis of food consumption data.

Materials and methods:

The first stage was to define important characteristics to include in the programme which was developed using the programming languages of Python and Javascript and using a model-view-controller design pattern. At the same time, three databases were created: one with the nutritional value of foods, another with portion sizes of the foods and a third with the nutritional recommendations. Once created, several trials were conducted on the programme to test the operations from a user point of view, and the accuracy of the calculations.

Results:

The 9 stages of the software are described and its design is justified with evidence from the scientific literature.

Conclusions:

The program ‘Dietnóstico’ for use in the web, allows the collection and analysis of food consumption data. Once validated, it will be available for nutritionists involved in nutrition counselling and research.