Description

Module/Solution Overview

The City4Age Geriatric Risk Model builds on current medical knowledge and provides a computational description of the determinants of MCI and Frailty in aging people.

The model consists of a number of Geriatric Factors (GEFs), possibly subdivided into Geriatric Sub-factors (GESs), that parallel several functional domains that have been demonstrated to possess relevant diagnostic/predictive power for MCI and/or frailty, and are potentially measurable through the application of unobtrusive sensing technology.

This effort presents two advantages:

  • It provides geriatricians and health professionals with a comprehensive, multi-factorial geriatric assessment, building on domains that medical specialists are already familiar with and already know how to interpret
  • It enables the setup of an effective monitoring system, based on easy-to-deploy unobtrusive data collection technologies, that enacts a “data driven geriatrics” paradigm, where widely available datasets are harnessed to produce an inclusive geriatric assessment

Innovation

The City4Age Geriatric Risk Model is one of the first endeavours that analyse MCI and frailty decay through unobtrusive, technology based detection of multiple determinants (as opposed to single or few determinants) of such conditions.

It also represents a sound basis for further endeavours, aimed at assessing the application of machine-learned algorithms for health monitoring in the elderly.

Business Impact 

The City4Age Geriatric Risk Model underpins the deployment of health monitoring applications for elderly people, in all those contexts that are characterized by the steady increase of available, unobtrusive datasets (such as smart cities, smart work environments, IoT environments, etc.). 

Interoperability 

N/A, as the model is not a technology component

Stakeholders profile

Many stakeholders are impacted, for different reasons:

  • Businesses developing Apps in the growing segment of health monitoring may find in the model the key conceptual basis to include add-ons for elderly people in their current offer
  • Medical communities may be interested in the advantages that the model can bring to the development of consistent and deployable preventive applications, based on innovative sensing/tracking technologies
  • Public administrations may be interested in a tool that enables the profiling of elderly populations’ health in relevant areas of interest (e.g. smart-city administrators, for urban planning)

Competitors

N/A, as the model will not be a commercial product.

Future availability 

Public domain

Contact info

city4age@atc.gr

Details

Categories: Models and Algorithms

MMED

MultiMed Engineers (MME) is an innovative startup based in Parma (Italy) developing and managing research and innovation initiatives in technology intensive sectors. Its strength is based on the diverse skills and expertise offered by a pool of first-class professionals, that compose the core partnership of the company. MME helps customers to re-imagine their businesses and operations, making the most out of innovative and pervasive technologies, that are becoming available at an ever faster pace.