Objective
Background: Long term conditions require monitoring of patients, traditionally conducted in the clinic, to monitor treatment effects, adverse events and disease course. This can be inefficient and cumbersome – clinic visits may be too infrequent to identify individuals at risk of significant changes in disease state (e.g. relapse) and place unnecessary burden on patients and providers.
Smartphone and wearable technologies have led to an exponential growth in the amount of information which can be collected on patients unobtrusively and at low cost. Sensors collect data passively, and active monitoring, using experience sampling, provides information on multiple parameters. Such technologies could monitor long term outcomes of patients, at scale, and provide fine-grained information on outcomes, available in real time and at low-cost, enabling services to offer more responsive and efficient care.
Whilst there is growing interest in the application of RMT in health, the field is in its infancy. The private-public partnership fostered by IMI2 is an ideal way to overcome the inherent challenges of this field.
Our ultimate goal is to improve patient outcomes through remote assessment. To achieve this we will create a pipeline for developing, testing and implementing RMT in depression, multiple sclerosis and epilepsy. The pipeline will include a data management and modelling infrastructure applicable to other disorders and with the flexibility of design to be future-proofed against further technological innovation. We will provide data on implementation barriers and facilitators gleaned from patients, clinicians, regulator and payers which will optimise the pathways for regulatory approval and uptake.
Program of Work: In order to test the feasibility and predictive power of RMT four main components are required: (1) Excellent project oversight, management, and a dissemination and exploitation strategy;
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesneurobiology
- medical and health sciencesbasic medicineneurologyepilepsy
- natural sciencescomputer and information sciencesinternetinternet of things
- medical and health sciencesbasic medicineneurologymultiple sclerosis
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
WC2R 2LS London
United Kingdom
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Participants (27)
25125 Brescia
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3521 AL Utrecht
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
3511 MJ Utrecht
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20132 Milano
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20132 Milano
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08035 Barcelona
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NG7 2RD Nottingham
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28029 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
08950 Esplugues De Llobregat
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64297 Darmstadt
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3400 Hillerod
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1081 HV Amsterdam
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79106 Freiburg
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5656 AE Eindhoven
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3000 Leuven
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60208 Evanston
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Participation ended
94032 Passau
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24129 Bergamo
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10117 Berlin
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Participation ended
SN3 1RJ Swindon
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Participation ended
80333 Muenchen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2340 Beerse
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SL6 3AY Maidenhead
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2500 Valby
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1070 Bruxelles / Brussel
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15000 Praha
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86159 Augsburg
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