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Development of a web-based platform for the semi-structured record of the psychiatric interview during clinical practice: an opportunity to impact research and improve health care

Published online by Cambridge University Press:  01 September 2022

D. Vasquez*
Affiliation:
Universidad de Antioquia, Grupo De Neurociencias De Antioquia, Medellin, Colombia
C. Velez
Affiliation:
Montgomery College, Mathematics And Data Science Department, Rockville, United States of America
*
*Corresponding author.

Abstract

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Introduction

Managing healthcare data is a major challenge for today’s medicine. The use of artificial intelligence and big data tools has allowed solving questions related to this topic. However, the wide heterogeneity in the psychiatric consultation record makes the retrospective analysis of these data limited due to a lack of information or differences between specialists.

Objectives

We aim to develop a platform that allows the structured record of medical care data (based on dementia) while maintaining flexibility and format for its usefulness during clinical practice in psychiatry.

Methods

We developed a web-based platform for the structured and semi-structured record of psychiatric evaluation. The instrument is diagnosed-oriented (for our version we used dementia). We used Core outcome sets and expert opinion to identify the relevant outcomes for the attention.

Results

A web-based platform is presented for the care of people with suspected dementia at different levels of care designed with the potential to record information of interest in research but also of clinical utility for closer follow-up.

Conclusions

This strategy allows developing the proposal towards other pathologies of interest. Also, with the integration of recommendation algorithms, a monitoring and recommendation system could be achieved to promote knowledge of psychiatric illness from routine practice. This proposal intends to have an impact by increasing the quality of care, reducing care times, and providing better approaches from primary care systems.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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