Health, the new challenge in Artificial Intelligence

Data has significantly grown with the advent of network devices in the health sector such as medical clinical histories, diagnostic processes, and more particularly, medical imaging -the introduction of Real-World Evidence. Making correct use of this data could save a great number of lives and reduce sanitary costs.

27 June, 2018 Blog Comments Off on Health, the new challenge in Artificial Intelligence

iHolter: Cloud computing based Holter System

iHolter project is focused on developing a cloud computing based solution for cardiac arrhythmias detection and diagnosis by continuous monitoring of heart electric signals (Holter) for the purpose of providing patients diagnostic services through mobile tools and encouraging information ubiquity and people´s mobility. It´s a cost-effective solution for sanitary institutions and content generation in the network.

The other participating companies in the project along with Grupo AIA are:

 

Call for proposals AETySI-Competitividad I+D

File Nº Ref: TSI-020605-2012-50

Ministerio Turismo Industria y Comercio

1 June, 2013 Proyectos No comments yet

Impact of the implementation of electronic guidelines for cardiovascular prevention in primary care: study protocol

The Catalan Health Institute has recently added an electronic version of clinical practice guidelines (CPG-e). This study aims to evaluate the impact of the implementation of e-GPC in the diagnosis, treatment, control and management of hypercholesterolemia, diabetes mellitus type 2 and hypertension.

These guidelines help and homogenize patients´ medical procedures as they provide expert´s knowledge to improve clinical practice, minimize treatment variability and improves sanitary resources efficiency.

1 February, 2012 Sin categoría No comments yet

SISCLAP

SISCLAP Proyecto Salud

 

The SISCLAP project’s objective is to obtain an SCP, which achieves capitation payment models, adjusted for the risk level of the beneficiaries of a health service. Thus it is intended to improve the efficiency of resources, reducing use and consumption and the differences between budgets and expenditure. As an added value seeks to improve the access of users of increased risk to the most efficient and necessary.

The SISCLAP project is basically based on the application of algorithms and predictive models (using artificial intelligence) for segmenting all patients operated on supercomputing infrastructure with a focus on improving the efficiency of the Spanish health system. This improvement will be through three related levels, which ordered from micro to macro: Professional Management, Strategic Management and Organization and Financing of health centres, and budget allocation of healthcare providers.

 

The “Ministerio de Industria, Energía y Turismo” of Spain, within the “Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2008-2011”, has funded the project SISCLAP.

 

SISCLAP consortium has been formed by:

  • FlowLab
  • Baladona Serveis Assistencials
  • Fundación Parque Científico de Murcia

 

 

Reference number : TSI-020100-2011-193

1 January, 2010 Proyectos No comments yet